id
stringlengths 53
86
| api_name
stringlengths 2
76
| api_description
stringlengths 1
500
⌀ | api_score
float64 0
10
⌀ | endpoint_name
stringlengths 1
190
| endpoint_description
stringlengths 0
500
| response_status_code
int64 100
505
| response_summary
stringlengths 1
68
⌀ | response_json
stringlengths 6
50k
| response_json_schema
stringlengths 14
150k
|
|---|---|---|---|---|---|---|---|---|---|
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/5d9679bd-561e-445d-91ec-c9009c4796ec/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 100 Global Hashtags | Get Top 100 Global Hashtags in Real Time | 200 | New Example | [{"hashtag": "duet", "videos": "1.4B", "views": "2.1T"}, {"hashtag": "fyp", "videos": "1.3B", "views": "12.7T"}, {"hashtag": "foryou", "videos": "1B", "views": "9.3T"}, {"hashtag": "for you page", "videos": "814.9M", "views": "6.1T"}, {"hashtag": "viral", "videos": "407.4M", "views": "3.9T"}, {"hashtag": "tiktok", "videos": "284.6M", "views": "1.9T"}, {"hashtag": "parati", "videos": "214.7M", "views": "1.7T"}, {"hashtag": "capcut", "videos": "166.1M", "views": "155.9B"}, {"hashtag": "trending", "videos": "164M", "views": "1.2T"}, {"hashtag": "green screen", "videos": "159.3M", "views": "507.5B"}] | {"type": "array", "items": {"type": "object", "properties": {"hashtag": {"type": "string"}, "videos": {"type": "string"}, "views": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/4a350321-595f-4c4f-8d17-91edaa9a1d96/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 50 Global Hashtags | Get Top 50 Global Hashtags in Real Time | 200 | New Example | [{"hashtag": "duet", "videos": "1.4B", "views": "2.1T"}, {"hashtag": "fyp", "videos": "1.3B", "views": "12.7T"}, {"hashtag": "foryou", "videos": "1B", "views": "9.3T"}, {"hashtag": "for you page", "videos": "814.9M", "views": "6.1T"}, {"hashtag": "viral", "videos": "407.4M", "views": "3.9T"}, {"hashtag": "tiktok", "videos": "284.6M", "views": "1.9T"}, {"hashtag": "parati", "videos": "214.7M", "views": "1.7T"}, {"hashtag": "capcut", "videos": "166.1M", "views": "155.9B"}, {"hashtag": "trending", "videos": "164M", "views": "1.2T"}, {"hashtag": "green screen", "videos": "159.3M", "views": "507.5B"}] | {"type": "array", "items": {"type": "object", "properties": {"hashtag": {"type": "string"}, "videos": {"type": "string"}, "views": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/f50bbaf2-b02a-4947-a6aa-64ab968ec8a1/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 10 Global Hashtags | Get Top 10 Global Hashtags in Real Time | 200 | New Example | [{"hashtag": "duet", "videos": "1.4B", "views": "2.1T"}, {"hashtag": "fyp", "videos": "1.3B", "views": "12.7T"}, {"hashtag": "foryou", "videos": "1B", "views": "9.3T"}, {"hashtag": "for you page", "videos": "814.9M", "views": "6.1T"}, {"hashtag": "viral", "videos": "407.4M", "views": "3.9T"}, {"hashtag": "tiktok", "videos": "284.6M", "views": "1.9T"}, {"hashtag": "parati", "videos": "214.7M", "views": "1.7T"}, {"hashtag": "capcut", "videos": "166.1M", "views": "155.9B"}, {"hashtag": "trending", "videos": "164M", "views": "1.2T"}, {"hashtag": "green screen", "videos": "159.3M", "views": "507.5B"}] | {"type": "array", "items": {"type": "object", "properties": {"hashtag": {"type": "string"}, "videos": {"type": "string"}, "views": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/3ace0db7-154b-4deb-b87f-d15abfa91193/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 100 Users by Country Code | Get Top 100 Users by Country Code in Real Time | 200 | New Example | [{"influencer": "charli d\u2019amelio", "nickname": "@charlidamelio", "followers": "127.4M", "likes": "10B"}, {"influencer": "addison rae", "nickname": "@addisonre", "followers": "85.4M", "likes": "5.5B"}, {"influencer": "Bella Poarch", "nickname": "@bellapoarch", "followers": "84.6M", "likes": "1.9B"}, {"influencer": "Zach King", "nickname": "@zachking", "followers": "66.1M", "likes": "823.6M"}, {"influencer": "Will Smith", "nickname": "@willsmith", "followers": "62.4M", "likes": "394.5M"}, {"influencer": "TikTok", "nickname": "@tiktok", "followers": "58M", "likes": "260.8M"}, {"influencer": "Dixie D\u2019Amelio", "nickname": "@dixiedamelio", "followers": "55.5M", "likes": "3.1B"}, {"influencer": "Spencer X", "nickname": "@spencerx", "followers": "55M", "likes": "1.3B"}, {"influencer": "Loren Gray", "nickname": "@lorengray", "followers": "54.1M", "likes": "2.9B"}, {"influencer": "Michael Le", "nickname": "@justmaiko", "followers": "51.1M", "likes": "1.4B"}, {"influencer": "Jason Derulo", "nickname": "@jasonderulo", "followers": "50.4M", "likes": "1.1B"}, {"influencer": "The Rock", "nickname": "@therock", "followers": "42.1M", "likes": "231.6M"}, {"influencer": "Brent Rivera", "nickname": "@brentrivera", "followers": "41.3M", "likes": "1.3B"}, {"influencer": "JoJo Siwa", "nickname": "@itsjojosiwa", "followers": "37.7M", "likes": "1.3B"}, {"influencer": "avani", "nickname": "@avani", "followers": "37.6M", "likes": "2.6B"}, {"influencer": "Kylie Jenner", "nickname": "@kyliejenner", "followers": "37.1M", "likes": "449.3M"}, {"influencer": "Selena Gomez", "nickname": "@selenagomez", "followers": "36.7M", "likes": "210.4M"}, {"influencer": "Joe", "nickname": "@joealbanese", "followers": "36.1M", "likes": "1.3B"}, {"influencer": "James Charles", "nickname": "@jamescharles", "followers": "35.8M", "likes": "916.5M"}, {"influencer": "BabyAriel", "nickname": "@babyariel", "followers": "35.6M", "likes": "1.9B"}, {"influencer": "BILLIE EILISH", "nickname": "@billieeilish", "followers": "35.2M", "likes": "189.5M"}, {"influencer": "Chase Hudson \ud83e\udddb\ud83c\udffb", "nickname": "@lilhuddy", "followers": "32.3M", "likes": "1.7B"}, {"influencer": "Stokes Twins", "nickname": "@stokestwins", "followers": "31.4M", "likes": "811M"}, {"influencer": "Lucas and Marcus", "nickname": "@dobretwins", "followers": "31.4M", "likes": "860.7M"}, {"influencer": "noah beck", "nickname": "@noahbeck", "followers": "31M", "likes": "2B"}, {"influencer": "wigofellas", "nickname": "@wigofellas", "followers": "29.9M", "likes": "756.3M"}, {"influencer": "Savannah LaBrant ", "nickname": "@savv.labrant", "followers": "29.3M", "likes": "1.5B"}, {"influencer": "Liza Koshy", "nickname": "@lizzza", "followers": "29.3M", "likes": "368.7M"}, {"influencer": "Mia Khalifa", "nickname": "@miakhalifa", "followers": "28.9M", "likes": "420.5M"}, {"influencer": "qpark", "nickname": "@qpark", "followers": "28.8M", "likes": "336.6M"}, {"influencer": "Kody Antle", "nickname": "@kodyantle", "followers": "28.4M", "likes": "353.4M"}, {"influencer": "flighthouse", "nickname": "@flighthouse", "followers": "28M", "likes": "2.4B"}, {"influencer": "Kira Kosarin", "nickname": "@kirakosarin", "followers": "27.6M", "likes": "486.4M"}, {"influencer": "MrBeast", "nickname": "@mrbeast", "followers": "27.1M", "likes": "269.8M"}, {"influencer": "topperguild", "nickname": "@topperguild", "followers": "26.6M", "likes": "756.3M"}, {"influencer": "Kevin Hart", "nickname": "@imkevinhart", "followers": "25.9M", "likes": "128.5M"}, {"influencer": "arianagrande", "nickname": "@arianagrande", "followers": "25.9M", "likes": "82M"}, {"influencer": "DAVID DOBRIK", "nickname": "@daviddobrik", "followers": "25.9M", "likes": "1.2B"}, {"influencer": "lil nas x", "nickname": "@lilnasx", "followers": "25.8M", "likes": "887.4M"}, {"influencer": "Josh Richards", "nickname": "@joshrichards", "followers": "25.6M", "likes": "1.7B"}, {"influencer": "Nasty Naz", "nickname": "@itsnastynaz", "followers": "25M", "likes": "583.9M"}, {"influencer": "LARRAY ", "nickname": "@larrayeeee", "followers": "24.9M", "likes": "721.5M"}, {"influencer": "Lele Pons", "nickname": "@lelepons", "followers": "24.9M", "likes": "473M"}, {"influencer": "Hannah Stocking", "nickname": "@hannahstocking", "followers": "24.8M", "likes": "851.8M"}, {"influencer": "Karol G", "nickname": "@karolg", "followers": "24.5M", "likes": "105.6M"}, {"influencer": "Oneya D\u2019Amelio", "nickname": "@angryreactions", "followers": "24.3M", "likes": "462.9M"}, {"influencer": "Jacob Sartorius", "nickname": "@jacobsartorius", "followers": "23.9M", "likes": "1.6B"}, {"influencer": "KingBach", "nickname": "@kingbach", "followers": "23.7M", "likes": "306.7M"}, {"influencer": "marshmello", "nickname": "@marshmellomusic", "followers": "23.2M", "likes": "186.3M"}, {"influencer": "Justin Bieber", "nickname": "@justinbieber", "followers": "23M", "likes": "82.8M"}] | {"type": "array", "items": {"type": "object", "properties": {"influencer": {"type": "string"}, "nickname": {"type": "string"}, "followers": {"type": "string"}, "likes": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/7e535c22-2e26-43a4-ae1c-0613dc98ba01/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 10 Users by Country Code | Get Top 10 Users by Country Code in Real Time | 200 | New Example | [{"influencer": "charli d\u2019amelio", "nickname": "@charlidamelio", "followers": "127.4M", "likes": "10B"}, {"influencer": "addison rae", "nickname": "@addisonre", "followers": "85.4M", "likes": "5.5B"}, {"influencer": "Bella Poarch", "nickname": "@bellapoarch", "followers": "84.6M", "likes": "1.9B"}, {"influencer": "Zach King", "nickname": "@zachking", "followers": "66.1M", "likes": "823.6M"}, {"influencer": "Will Smith", "nickname": "@willsmith", "followers": "62.4M", "likes": "394.5M"}, {"influencer": "TikTok", "nickname": "@tiktok", "followers": "58M", "likes": "260.8M"}, {"influencer": "Dixie D\u2019Amelio", "nickname": "@dixiedamelio", "followers": "55.5M", "likes": "3.1B"}, {"influencer": "Spencer X", "nickname": "@spencerx", "followers": "55M", "likes": "1.3B"}, {"influencer": "Loren Gray", "nickname": "@lorengray", "followers": "54.1M", "likes": "2.9B"}, {"influencer": "Michael Le", "nickname": "@justmaiko", "followers": "51.1M", "likes": "1.4B"}, {"influencer": "Jason Derulo", "nickname": "@jasonderulo", "followers": "50.4M", "likes": "1.1B"}, {"influencer": "The Rock", "nickname": "@therock", "followers": "42.1M", "likes": "231.6M"}, {"influencer": "Brent Rivera", "nickname": "@brentrivera", "followers": "41.3M", "likes": "1.3B"}, {"influencer": "JoJo Siwa", "nickname": "@itsjojosiwa", "followers": "37.7M", "likes": "1.3B"}, {"influencer": "avani", "nickname": "@avani", "followers": "37.6M", "likes": "2.6B"}, {"influencer": "Kylie Jenner", "nickname": "@kyliejenner", "followers": "37.1M", "likes": "449.3M"}, {"influencer": "Selena Gomez", "nickname": "@selenagomez", "followers": "36.7M", "likes": "210.4M"}, {"influencer": "Joe", "nickname": "@joealbanese", "followers": "36.1M", "likes": "1.3B"}, {"influencer": "James Charles", "nickname": "@jamescharles", "followers": "35.8M", "likes": "916.5M"}, {"influencer": "BabyAriel", "nickname": "@babyariel", "followers": "35.6M", "likes": "1.9B"}, {"influencer": "BILLIE EILISH", "nickname": "@billieeilish", "followers": "35.2M", "likes": "189.5M"}, {"influencer": "Chase Hudson \ud83e\udddb\ud83c\udffb", "nickname": "@lilhuddy", "followers": "32.3M", "likes": "1.7B"}, {"influencer": "Stokes Twins", "nickname": "@stokestwins", "followers": "31.4M", "likes": "811M"}, {"influencer": "Lucas and Marcus", "nickname": "@dobretwins", "followers": "31.4M", "likes": "860.7M"}, {"influencer": "noah beck", "nickname": "@noahbeck", "followers": "31M", "likes": "2B"}, {"influencer": "wigofellas", "nickname": "@wigofellas", "followers": "29.9M", "likes": "756.3M"}, {"influencer": "Savannah LaBrant ", "nickname": "@savv.labrant", "followers": "29.3M", "likes": "1.5B"}, {"influencer": "Liza Koshy", "nickname": "@lizzza", "followers": "29.3M", "likes": "368.7M"}, {"influencer": "Mia Khalifa", "nickname": "@miakhalifa", "followers": "28.9M", "likes": "420.5M"}, {"influencer": "qpark", "nickname": "@qpark", "followers": "28.8M", "likes": "336.6M"}, {"influencer": "Kody Antle", "nickname": "@kodyantle", "followers": "28.4M", "likes": "353.4M"}, {"influencer": "flighthouse", "nickname": "@flighthouse", "followers": "28M", "likes": "2.4B"}, {"influencer": "Kira Kosarin", "nickname": "@kirakosarin", "followers": "27.6M", "likes": "486.4M"}, {"influencer": "MrBeast", "nickname": "@mrbeast", "followers": "27.1M", "likes": "269.8M"}, {"influencer": "topperguild", "nickname": "@topperguild", "followers": "26.6M", "likes": "756.3M"}, {"influencer": "Kevin Hart", "nickname": "@imkevinhart", "followers": "25.9M", "likes": "128.5M"}, {"influencer": "arianagrande", "nickname": "@arianagrande", "followers": "25.9M", "likes": "82M"}, {"influencer": "DAVID DOBRIK", "nickname": "@daviddobrik", "followers": "25.9M", "likes": "1.2B"}, {"influencer": "lil nas x", "nickname": "@lilnasx", "followers": "25.8M", "likes": "887.4M"}, {"influencer": "Josh Richards", "nickname": "@joshrichards", "followers": "25.6M", "likes": "1.7B"}, {"influencer": "Nasty Naz", "nickname": "@itsnastynaz", "followers": "25M", "likes": "583.9M"}, {"influencer": "LARRAY ", "nickname": "@larrayeeee", "followers": "24.9M", "likes": "721.5M"}, {"influencer": "Lele Pons", "nickname": "@lelepons", "followers": "24.9M", "likes": "473M"}, {"influencer": "Hannah Stocking", "nickname": "@hannahstocking", "followers": "24.8M", "likes": "851.8M"}, {"influencer": "Karol G", "nickname": "@karolg", "followers": "24.5M", "likes": "105.6M"}, {"influencer": "Oneya D\u2019Amelio", "nickname": "@angryreactions", "followers": "24.3M", "likes": "462.9M"}, {"influencer": "Jacob Sartorius", "nickname": "@jacobsartorius", "followers": "23.9M", "likes": "1.6B"}, {"influencer": "KingBach", "nickname": "@kingbach", "followers": "23.7M", "likes": "306.7M"}, {"influencer": "marshmello", "nickname": "@marshmellomusic", "followers": "23.2M", "likes": "186.3M"}, {"influencer": "Justin Bieber", "nickname": "@justinbieber", "followers": "23M", "likes": "82.8M"}] | {"type": "array", "items": {"type": "object", "properties": {"influencer": {"type": "string"}, "nickname": {"type": "string"}, "followers": {"type": "string"}, "likes": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/05a9833d-a8c0-48f6-a2ee-9b4f0a54c5d6/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 50 Global Users | Get Top 50 Global Users in Real Time | 200 | New Example | [{"influencer": "Charli D\u2019Amelio", "nickname": "@charlidamelio", "followers": "127.4M", "likes": "10B"}, {"influencer": "Khabane Lame", "nickname": "@khaby.lame", "followers": "117.5M", "likes": "1.8B"}, {"influencer": "Addison Rae", "nickname": "@addisonre", "followers": "85.3M", "likes": "5.5B"}, {"influencer": "Bella Poarch", "nickname": "@bellapoarch", "followers": "84.5M", "likes": "1.9B"}, {"influencer": "Zach King", "nickname": "@zachking", "followers": "66M", "likes": "822.7M"}, {"influencer": "Will Smith", "nickname": "@willsmith", "followers": "62.4M", "likes": "394.3M"}, {"influencer": "Tiktok", "nickname": "@tiktok", "followers": "57.9M", "likes": "260.8M"}, {"influencer": "Dixie D\u2019Amelio", "nickname": "@dixiedamelio", "followers": "55.4M", "likes": "3.1B"}, {"influencer": "Spencer X", "nickname": "@spencerx", "followers": "55M", "likes": "1.3B"}, {"influencer": "Loren Gray", "nickname": "@lorengray", "followers": "54.1M", "likes": "2.9B"}] | {"type": "array", "items": {"type": "object", "properties": {"influencer": {"type": "string"}, "nickname": {"type": "string"}, "followers": {"type": "string"}, "likes": {"type": "string"}}}} |
f1d4cb63-c5de-40ba-b221-b5c27d4529d6/a3e5d4a6-fb84-4616-b638-59665ece9773/0/0 | TikTok Tops | An API to Request in Real Time TikTok Tops of Users by Country, Global and Hashtags. | 7.9 | Top 10 Global Users | Get Top 10 Global Users in Real Time | 200 | New Example | [{"influencer": "Charli D\u2019Amelio", "nickname": "@charlidamelio", "followers": "127.4M", "likes": "10B"}, {"influencer": "Khabane Lame", "nickname": "@khaby.lame", "followers": "117.5M", "likes": "1.8B"}, {"influencer": "Addison Rae", "nickname": "@addisonre", "followers": "85.3M", "likes": "5.5B"}, {"influencer": "Bella Poarch", "nickname": "@bellapoarch", "followers": "84.5M", "likes": "1.9B"}, {"influencer": "Zach King", "nickname": "@zachking", "followers": "66M", "likes": "822.7M"}, {"influencer": "Will Smith", "nickname": "@willsmith", "followers": "62.4M", "likes": "394.3M"}, {"influencer": "Tiktok", "nickname": "@tiktok", "followers": "57.9M", "likes": "260.8M"}, {"influencer": "Dixie D\u2019Amelio", "nickname": "@dixiedamelio", "followers": "55.4M", "likes": "3.1B"}, {"influencer": "Spencer X", "nickname": "@spencerx", "followers": "55M", "likes": "1.3B"}, {"influencer": "Loren Gray", "nickname": "@lorengray", "followers": "54.1M", "likes": "2.9B"}] | {"type": "array", "items": {"type": "object", "properties": {"influencer": {"type": "string"}, "nickname": {"type": "string"}, "followers": {"type": "string"}, "likes": {"type": "string"}}}} |
dfc4994f-10c7-47dd-9c62-92812fa84b6d/e00a620a-fd63-4eb6-88e5-0be6e98b862c/0/0 | Play Store | Unofficial API for scraping Play Store | 6.8 | Categories | Get category codes for the Play Store. | 200 | Response | {"APPLICATION": "APPLICATION", "ANDROID_WEAR": "ANDROID_WEAR", "ART_AND_DESIGN": "ART_AND_DESIGN", "AUTO_AND_VEHICLES": "AUTO_AND_VEHICLES", "BEAUTY": "BEAUTY", "BOOKS_AND_REFERENCE": "BOOKS_AND_REFERENCE", "BUSINESS": "BUSINESS", "COMICS": "COMICS", "COMMUNICATION": "COMMUNICATION", "DATING": "DATING", "EDUCATION": "EDUCATION", "ENTERTAINMENT": "ENTERTAINMENT", "EVENTS": "EVENTS", "FINANCE": "FINANCE", "FOOD_AND_DRINK": "FOOD_AND_DRINK", "HEALTH_AND_FITNESS": "HEALTH_AND_FITNESS", "HOUSE_AND_HOME": "HOUSE_AND_HOME", "LIBRARIES_AND_DEMO": "LIBRARIES_AND_DEMO", "LIFESTYLE": "LIFESTYLE", "MAPS_AND_NAVIGATION": "MAPS_AND_NAVIGATION", "MEDICAL": "MEDICAL", "MUSIC_AND_AUDIO": "MUSIC_AND_AUDIO", "NEWS_AND_MAGAZINES": "NEWS_AND_MAGAZINES", "PARENTING": "PARENTING", "PERSONALIZATION": "PERSONALIZATION", "PHOTOGRAPHY": "PHOTOGRAPHY", "PRODUCTIVITY": "PRODUCTIVITY", "SHOPPING": "SHOPPING", "SOCIAL": "SOCIAL", "SPORTS": "SPORTS", "TOOLS": "TOOLS", "TRAVEL_AND_LOCAL": "TRAVEL_AND_LOCAL", "VIDEO_PLAYERS": "VIDEO_PLAYERS", "WATCH_FACE": "WATCH_FACE", "WEATHER": "WEATHER", "GAME": "GAME", "GAME_ACTION": "GAME_ACTION", "GAME_ADVENTURE": "GAME_ADVENTURE", "GAME_ARCADE": "GAME_ARCADE", "GAME_BOARD": "GAME_BOARD", "GAME_CARD": "GAME_CARD", "GAME_CASINO": "GAME_CASINO", "GAME_CASUAL": "GAME_CASUAL", "GAME_EDUCATIONAL": "GAME_EDUCATIONAL", "GAME_MUSIC": "GAME_MUSIC", "GAME_PUZZLE": "GAME_PUZZLE", "GAME_RACING": "GAME_RACING", "GAME_ROLE_PLAYING": "GAME_ROLE_PLAYING", "GAME_SIMULATION": "GAME_SIMULATION", "GAME_SPORTS": "GAME_SPORTS", "GAME_STRATEGY": "GAME_STRATEGY", "GAME_TRIVIA": "GAME_TRIVIA", "GAME_WORD": "GAME_WORD", "FAMILY": "FAMILY"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"APPLICATION": {"type": "string"}, "ANDROID_WEAR": {"type": "string"}, "ART_AND_DESIGN": {"type": "string"}, "AUTO_AND_VEHICLES": {"type": "string"}, "BEAUTY": {"type": "string"}, "BOOKS_AND_REFERENCE": {"type": "string"}, "BUSINESS": {"type": "string"}, "COMICS": {"type": "string"}, "COMMUNICATION": {"type": "string"}, "DATING": {"type": "string"}, "EDUCATION": {"type": "string"}, "ENTERTAINMENT": {"type": "string"}, "EVENTS": {"type": "string"}, "FINANCE": {"type": "string"}, "FOOD_AND_DRINK": {"type": "string"}, "HEALTH_AND_FITNESS": {"type": "string"}, "HOUSE_AND_HOME": {"type": "string"}, "LIBRARIES_AND_DEMO": {"type": "string"}, "LIFESTYLE": {"type": "string"}, "MAPS_AND_NAVIGATION": {"type": "string"}, "MEDICAL": {"type": "string"}, "MUSIC_AND_AUDIO": {"type": "string"}, "NEWS_AND_MAGAZINES": {"type": "string"}, "PARENTING": {"type": "string"}, "PERSONALIZATION": {"type": "string"}, "PHOTOGRAPHY": {"type": "string"}, "PRODUCTIVITY": {"type": "string"}, "SHOPPING": {"type": "string"}, "SOCIAL": {"type": "string"}, "SPORTS": {"type": "string"}, "TOOLS": {"type": "string"}, "TRAVEL_AND_LOCAL": {"type": "string"}, "VIDEO_PLAYERS": {"type": "string"}, "WATCH_FACE": {"type": "string"}, "WEATHER": {"type": "string"}, "GAME": {"type": "string"}, "GAME_ACTION": {"type": "string"}, "GAME_ADVENTURE": {"type": "string"}, "GAME_ARCADE": {"type": "string"}, "GAME_BOARD": {"type": "string"}, "GAME_CARD": {"type": "string"}, "GAME_CASINO": {"type": "string"}, "GAME_CASUAL": {"type": "string"}, "GAME_EDUCATIONAL": {"type": "string"}, "GAME_MUSIC": {"type": "string"}, "GAME_PUZZLE": {"type": "string"}, "GAME_RACING": {"type": "string"}, "GAME_ROLE_PLAYING": {"type": "string"}, "GAME_SIMULATION": {"type": "string"}, "GAME_SPORTS": {"type": "string"}, "GAME_STRATEGY": {"type": "string"}, "GAME_TRIVIA": {"type": "string"}, "GAME_WORD": {"type": "string"}, "FAMILY": {"type": "string"}}, "required": ["ANDROID_WEAR", "APPLICATION", "ART_AND_DESIGN", "AUTO_AND_VEHICLES", "BEAUTY", "BOOKS_AND_REFERENCE", "BUSINESS", "COMICS", "COMMUNICATION", "DATING", "EDUCATION", "ENTERTAINMENT", "EVENTS", "FAMILY", "FINANCE", "FOOD_AND_DRINK", "GAME", "GAME_ACTION", "GAME_ADVENTURE", "GAME_ARCADE", "GAME_BOARD", "GAME_CARD", "GAME_CASINO", "GAME_CASUAL", "GAME_EDUCATIONAL", "GAME_MUSIC", "GAME_PUZZLE", "GAME_RACING", "GAME_ROLE_PLAYING", "GAME_SIMULATION", "GAME_SPORTS", "GAME_STRATEGY", "GAME_TRIVIA", "GAME_WORD", "HEALTH_AND_FITNESS", "HOUSE_AND_HOME", "LIBRARIES_AND_DEMO", "LIFESTYLE", "MAPS_AND_NAVIGATION", "MEDICAL", "MUSIC_AND_AUDIO", "NEWS_AND_MAGAZINES", "PARENTING", "PERSONALIZATION", "PHOTOGRAPHY", "PRODUCTIVITY", "SHOPPING", "SOCIAL", "SPORTS", "TOOLS", "TRAVEL_AND_LOCAL", "VIDEO_PLAYERS", "WATCH_FACE", "WEATHER"]} |
dfc4994f-10c7-47dd-9c62-92812fa84b6d/9212ad0c-8c90-417a-ab50-518332066e8a/0/0 | Play Store | Unofficial API for scraping Play Store | 6.8 | Application Information | Get Details about an application from the Play Store | 200 | Response | {"title": "TikTok", "developer": "TikTok Pte. Ltd.", "developerId": "TikTok+Pte.+Ltd.", "category": "Social", "categoryId": "SOCIAL", "contentRating": "Teen", "releaseDate": "Jul 9, 2015", "summary": "Join your friends and discover videos you love, only on TikTok", "description": "TikTok is THE destination for mobile videos. On TikTok, short-form videos are exciting, spontaneous, and genuine. Whether you\u2019re a sports fanatic, a pet enthusiast, or just looking for a laugh, there\u2019s something for everyone on TikTok. All you have to do is watch, engage with what you like, skip what you don\u2019t, and you\u2019ll find an endless stream of short videos that feel personalized just for you. From your morning coffee to your afternoon errands, TikTok has the videos that are guaranteed to make your day.\r\n\r\nWe make it easy for you to discover and create your own original videos by providing easy-to-use tools to view and capture your daily moments. Take your videos to the next level with special effects, filters, music, and more. \r\n\r\n\u25a0 Watch endless amount of videos customized specifically for you\r\nA personalized video feed based on what you watch, like, and share. TikTok offers you real, interesting, and fun videos that will make your day.\r\n \r\n\u25a0 Explore videos, just one scroll away\r\nWatch all types of videos, from Comedy, Gaming, DIY, Food, Sports, Memes, and Pets, to Oddly Satisfying, ASMR, and everything in between.\r\n \r\n\u25a0 Pause recording multiple times in one video\r\nPause and resume your video with just a tap. Shoot as many times as you need.\r\n \r\n\u25a0 Be entertained and inspired by a global community of creators\r\nMillions of creators are on TikTok showcasing their incredible skills and everyday life. Let yourself be inspired.\r\n\r\n\u25a0 Add your favorite music or sound to your videos for free\r\nEasily edit your videos with millions of free music clips and sounds. We curate music and sound playlists for you with the hottest tracks in every genre, including Hip Hop, Edm, Pop, Rock, Rap, and Country, and the most viral original sounds.\r\n\r\n\u25a0 Express yourself with creative effects\r\nUnlock tons of filters, effects, and AR objects to take your videos to the next level.\r\n\r\n\u25a0 Edit your own videos \r\nOur integrated editing tools allow you to easily trim, cut, merge and duplicate video clips without leaving the app.\r\n\r\n* Any feedback? Contact us at https://www.tiktok.com/legal/report/feedback or tweet us @tiktok_us", "icon": "https://play-lh.googleusercontent.com/z5nin1RdQ4UZhv6fa1FNG7VE33imGqPgC4kKZIUjgf_up7E-Pj3AaojlMPwNNXaeGA", "screenshots": ["https://play-lh.googleusercontent.com/STsINPHbz_Edu86xY7DeCJbXpLNM-dPyQ5mSBEJCfI0869PV7Z10P3QbFPA7iRsBzv4", "https://play-lh.googleusercontent.com/Sf-9Gw3_fbZ9uf1CfeqZPI6weBl7C1x1xG8bpw6g-uYI6FXEBH6tNEtTxw84cv4kIA", "https://play-lh.googleusercontent.com/CmbuhxgQSmbd0GebOHUXLmRlgXmyKQOAWbtwGdqPmA-vQcEelA4UVFYmddJPGPbUhrI", "https://play-lh.googleusercontent.com/vkEjES15xYZyOXYc5ytNbQcMELL2bfTfwZkJEpEMuPh3oXO5q0iAv1TpjR7NJzx0_A", "https://play-lh.googleusercontent.com/6fdaGBGzqQdOE9-giRkwlqCbIdwW3EU76WxkG0O7gar7anYtdd93DT-qlCQrMduQScI"], "fileSize": "86M", "editorsChoice": false, "inAppPurchases": true, "containsAds": true, "price": 0, "currency": "USD", "priceText": "Free", "androidVersion": "4.4", "installs": "1,000,000,000+", "score": 4.466349, "ratings": 42165582, "reviews": 18394618, "comments": ["I've been having the same problem as a lot of other users with the 'no network connection' message showing up. It's a great app and really entertaining but it recently started showing 'no network connection' when I tried anything, even though I had a wifi connection and all the other apps I have are working fine . I've tried restarting my phone a few times and even uninstalled and reinstalled the app, but whenever I try to log in it gives me the 'no network connection' and won't let me log in.", "I've been condumed by this app for over 8 months. It's been a brilliant learning tool when following professionals in their field. Its a ittle glitch at times but overall...brilliant app. EDIT TO ADD: I've finallyade thr jump from follower to creator and its been fun! The $$ is fun, too. Thanks for s great community TT!", "Good day, I honestly wish I could give this app a nice 5 Star review, however. There have been some problems with the app, sometimes when I'm recording a video it glitches out and my phone screen turns black for a good 3 seconds, as if it crashes? Also the racism, homophobia and sexism is unacceptable. Women/LGBTQ+/other races cannot make any videos because there are always these types of people that send horrible death threats! It sucks:(. Could TikTok Team could do something about that please?", "Great app. I can say alot about this app. The bad and the good. My rating might be confusing but I'm picky. I do love this app but there are some things that can be better cause some things just don't make sense to me. but I will say this TikTok app has changed me in so many good ways. Also it has brought such wonderful people into my life.", "I absolutely love this app!! Now that my accout has been banned( just saying all my videos were fine) but now when I try to make a new one I put in my date of birth and I am far across the line of being overage. Every single age says I am not eligible( whether I'm 20 or 100) it just won't let me on"], "version": "21.7.9", "updated": "Nov 05, 2021", "changelog": "Try brand-new creative effects to make your videos stand out."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"title": {"type": "string"}, "developer": {"type": "string"}, "developerId": {"type": "string"}, "category": {"type": "string"}, "categoryId": {"type": "string"}, "contentRating": {"type": "string"}, "releaseDate": {"type": "string"}, "summary": {"type": "string"}, "description": {"type": "string"}, "icon": {"type": "string"}, "screenshots": {"type": "array", "items": {"type": "string"}}, "fileSize": {"type": "string"}, "editorsChoice": {"type": "boolean"}, "inAppPurchases": {"type": "boolean"}, "containsAds": {"type": "boolean"}, "price": {"type": "integer"}, "currency": {"type": "string"}, "priceText": {"type": "string"}, "androidVersion": {"type": "string"}, "installs": {"type": "string"}, "score": {"type": "number"}, "ratings": {"type": "integer"}, "reviews": {"type": "integer"}, "comments": {"type": "array", "items": {"type": "string"}}, "version": {"type": "string"}, "updated": {"type": "string"}, "changelog": {"type": "string"}}, "required": ["androidVersion", "category", "categoryId", "changelog", "comments", "containsAds", "contentRating", "currency", "description", "developer", "developerId", "editorsChoice", "fileSize", "icon", "inAppPurchases", "installs", "price", "priceText", "ratings", "releaseDate", "reviews", "score", "screenshots", "summary", "title", "updated", "version"]} |
95a4108e-390c-40c6-8439-681d6294cb85/eadb52e4-92e0-4dca-a413-30192fabe34f/0/0 | Vue2-to-Vue3-converter | An API that converts Vue 2.x with Options API to Vue 3 with the Composition API | null | Convert Vue 2 file to Vue 3 | Through this endpoint a Vue 2 file can be converted to a Vue 3 file. | 200 | ResponseType | {"fileName": "Button.vue", "content": "<template><div class=\"random-component\"><h1>{{ title }}</h1><button @click=\"updateTitle\">Click Me!</button><ul><li v-for=\"item in list\" :key=\"item.id\">{{ item.name }}</li></ul></div></template><script lang=\"ts\">\nimport { reactive } from 'vue';\n\nexport default {\n setup() {\n const data = reactive({\n title: \"Random Vue 2 Component\",\n list: [\n { id: 1, name: \"Item 1\" },\n { id: 2, name: \"Item 2\" },\n { id: 3, name: \"Item 3\" },\n ],\n });\n\n const updateTitle = () => {\n data.title = \"Title Updated!\";\n };\n\n return {\n data,\n updateTitle,\n };\n },\n};\n</script><style scoped>.random-component {font-family: Arial, sans-serif;text-align: center;margin-top: 50px;}h1 {color: #42b983;}button {margin: 20px;padding: 10px 15px;background-color: #42b983;color: white;border: none;border-radius: 5px;}ul {list-style-type: none;padding: 0;}li {margin: 10px 0;}</style>"} | {"type": "object", "properties": {"fileName": {"type": "string"}, "content": {"type": "string"}}} |
9526a7ee-32ea-4b82-a9e9-7a64cdd929b0/18b521f2-60a7-4035-bd4c-923d346e190f/0/0 | Domain Whois API: Retrieve Whois Information for Any Domain | Domain Whois API: Retrieve Whois Information for Any Domain Name. | 6.8 | Domain Whois | Domain Whois through domain name. | 200 | New Example | {"domain_name": ["google.com"], "registrar": "markmonitor, inc.", "whois_server": "whois.markmonitor.com", "updated_date": 1568043544, "creation_date": [874296000, 874306800], "expiration_date": [1852516800, 1852441200], "name_servers": ["ns4.google.com", "ns1.google.com", "ns2.google.com", "ns3.google.com"], "emails": ["[email protected]", "[email protected]"], "dnssec": "unsigned", "org": "google llc", "state": "ca", "country": "us"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"domain_name": {"type": "array", "items": {"type": "string"}}, "registrar": {"type": "string"}, "whois_server": {"type": "string"}, "updated_date": {"type": "integer"}, "creation_date": {"type": "array", "items": {"type": "integer"}}, "expiration_date": {"type": "array", "items": {"type": "integer"}}, "name_servers": {"type": "array", "items": {"type": "string"}}, "emails": {"type": "array", "items": {"type": "string"}}, "dnssec": {"type": "string"}, "org": {"type": "string"}, "state": {"type": "string"}, "country": {"type": "string"}}, "required": ["country", "creation_date", "dnssec", "domain_name", "emails", "expiration_date", "name_servers", "org", "registrar", "state", "updated_date", "whois_server"]} |
c03bb176-be35-4386-80c4-64ba39a4f546/7e48f42f-a196-4ba8-964f-6165444ef10a/0/0 | Google Trends US | Gives the list of trending search results in the United States at the current time. | 7.4 | Get Trending Result | Gives you an array of trending search result. | 200 | Response | {"data": ["shang chi marvel ten rings", "zip ties arizona principal", "hurricane larry weather", "lottery mega millions powerball jackpot", "destiny xur location", "wwe smackdown smackdown results", "11 million math error notices irs", "apple iphone 13", "covid 19 vaccine booster shots", "southwest airlines flight attendant"], "message": "Trending Items Fetched."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"data": {"type": "array", "items": {"type": "string"}}, "message": {"type": "string"}}, "required": ["data", "message"]} |
abce0ac8-2288-41c3-b82b-4b63127c6393/a50773b4-674d-48f7-8290-a916b8e5559a/0/0 | Twitter Video Downloader | The Twitter Video Downloader API enables users to easily download MP4 videos from Twitter by providing the necessary functionality to retrieve and save videos from tweets. | 9.3 | Download Video | Download Video from Twitter | 200 | Response | {"meta": {"username": "PassengersMovie", "tweet_id": "821025484150423557", "possibly_sensitive": false}, "media": {"images": [], "videos": [{"id": "C2GF3vxUQAArTD0", "thumbnail": "https://pbs.twimg.com/media/C2GF3vxUQAArTD0.jpg", "variants": [{"bitrate": 320000, "content_type": "video/mp4", "url": "https://video.twimg.com/amplify_video/820082508054179840/vid/240x240/b6ImBrQddohap5-6.mp4", "width": "240", "height": "240"}, {"content_type": "application/x-mpegURL", "url": "https://video.twimg.com/amplify_video/820082508054179840/pl/8gxYaoktBTgRLruI.m3u8", "width": 0, "height": 0}, {"bitrate": 1280000, "content_type": "video/mp4", "url": "https://video.twimg.com/amplify_video/820082508054179840/vid/720x720/K8BEWmSeNsrQI_pA.mp4", "width": "720", "height": "720"}, {"bitrate": 832000, "content_type": "video/mp4", "url": "https://video.twimg.com/amplify_video/820082508054179840/vid/480x480/JypbCoP9FFOf1IgE.mp4", "width": "480", "height": "480"}]}], "gifs": []}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"meta": {"type": "object", "properties": {"username": {"type": "string"}, "tweet_id": {"type": "string"}, "possibly_sensitive": {"type": "boolean"}}, "required": ["possibly_sensitive", "tweet_id", "username"]}, "media": {"type": "object", "properties": {"images": {"type": "array"}, "videos": {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "string"}, "thumbnail": {"type": "string"}, "variants": {"type": "array", "items": {"type": "object", "properties": {"bitrate": {"type": "integer"}, "content_type": {"type": "string"}, "url": {"type": "string"}, "width": {"type": ["integer", "string"]}, "height": {"type": ["integer", "string"]}}, "required": ["content_type", "height", "url", "width"]}}}, "required": ["id", "thumbnail", "variants"]}}, "gifs": {"type": "array"}}, "required": ["gifs", "images", "videos"]}}, "required": ["media", "meta"]} |
ef2aec01-8093-4d7b-b6bb-f95040e6b4b1/223c751e-7b7f-44da-8887-16dee5a19d3d/0/0 | API License plate Spain - Matrícula API España | API license plate The License Plate API is the ideal solution for professionals looking for vehicle information in Spain. Our license plate API allows you to get detailed information about any vehicle registered in Spain with just one click by simply entering its license plate. You can access information such as brand, model, version, MINE type, K-Type TECDOC identifier, color, weight, dimensions, body type, tax horsepower, real power in kW , engine code, CO2 emissions, type of energy, type ... | 8 | getCarInfos | Get all car information using Spain car plate, ex :"1995CCX" | 200 | Response | {"error": false, "code": "200", "data": {"AWN_k_type": "11873", "AWN_VIN": "VF7CHRHYB39368528", "AWN_marque": "CITROEN", "AWN_modele": "XSARA PICASSO", "AWN_immat": "1995CCX", "AWN_marque_id": "6", "AWN_modele_id": "1971", "AWN_modele_etude": "XSARA PICASSO", "AWN_poids_vide": "1850", "AWN_poids_total_roulant": "1300", "AWN_puissance_chevaux": "0", "AWN_puissance_fiscale": "13", "AWN_carrosserie": "Inconnue", "AWN_genre": "Inconnue", "AWN_genre_carte_grise": "TURISMO", "AWN_energie": "Gazole", "AWN_energie_code": "18", "AWN_emission_co_2": "0", "AWN_date_mise_en_circulation": "23-12-2002", "AWN_date_30": "23-12-2002", "AWN_numero_de_serie": "B39368528", "AWN_nbr_cylindre_energie": "1997", "AWN_collection": "NON", "AWN_puissance_KW": "0", "AWN_nbr_portes": "0", "AWN_nbr_de_places": "5", "AWN_type_boite_vites": "Inconnue", "AWN_propulsion": "Inconnue", "AWN_TID": "6257196", "AWN_brand_img_path": "img/brands/citroen.png", "AWN_country": "es", "AWN_brand_img_full_path": "https://app.auto-ways.net/img/brands/citroen.png"}} | {"type": "object", "properties": {"error": {"type": "boolean"}, "code": {"type": "integer"}, "data": {"type": "object", "properties": {"AWN_k_type": {"type": "string"}, "AWN_VIN": {"type": "string"}, "AWN_marque": {"type": "string"}, "AWN_modele": {"type": "string"}, "AWN_immat": {"type": "string"}, "AWN_marque_id": {"type": "string"}, "AWN_modele_id": {"type": "string"}, "AWN_modele_etude": {"type": "string"}, "AWN_poids_vide": {"type": "string"}, "AWN_poids_total_roulant": {"type": "string"}, "AWN_puissance_chevaux": {"type": "string"}, "AWN_puissance_fiscale": {"type": "string"}, "AWN_carrosserie": {"type": "string"}, "AWN_genre": {"type": "string"}, "AWN_genre_carte_grise": {"type": "string"}, "AWN_energie": {"type": "string"}, "AWN_energie_code": {"type": "string"}, "AWN_emission_co_2": {"type": "string"}, "AWN_date_mise_en_circulation": {"type": "string"}, "AWN_date_30": {"type": "string"}, "AWN_numero_de_serie": {"type": "string"}, "AWN_nbr_cylindre_energie": {"type": "string"}, "AWN_collection": {"type": "string"}, "AWN_puissance_KW": {"type": "string"}, "AWN_nbr_portes": {"type": "string"}, "AWN_nbr_de_places": {"type": "string"}, "AWN_type_boite_vites": {"type": "string"}, "AWN_propulsion": {"type": "string"}, "AWN_TID": {"type": "string"}, "AWN_brand_img_path": {"type": "string"}, "country": {"type": "string"}, "AWN_country": {"type": "string"}, "AWN_brand_img_full_path": {"type": "string"}}}}} |
54b6aefbe4b0eacb8d34006e/54b6b054e4b0b51cad11a1bb/0/0 | WordsAPI | Words API lets you retrieve information about English words, including definitions, synonyms, rhymes, pronunciation, syllables, and frequency of usage. It also can tell you about relationships between words, for instance that "math" has categories like "algebra" and "geometry", or that a "finger" is part of a "hand". | 9.9 | Search | Search for words matching the parameters you provide. For more examples, please see the documentation on the website. https://www.wordsapi.com/docs#search | 200 | Example_1 | {"query": {"letterPattern": "^a.{4}$", "limit": 100, "page": 1, "pronunciationPattern": ".*\u00e6m$"}, "results": {"data": ["amram", "annam", "assam"], "total": 3}} | {"properties": {"query": {"properties": {"letterPattern": {"type": "string"}, "limit": {"type": "integer"}, "page": {"type": "integer"}, "pronunciationPattern": {"type": "string"}}, "type": "object"}, "results": {"properties": {"data": {"items": {"type": "string"}, "type": "array"}, "total": {"type": "integer"}}, "type": "object"}}, "type": "object"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/44073ee3-424e-44dc-8bf8-9bfecf136a9a/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Country List | Retrieves the list of valid countries than can be used in the API.
Returns:
list: A list of dictionaries containing information about each country.
Each dictionary has the following keys:
- 'name': The name of the country.
- 'iso_code': The ISO code of the country. | 200 | null | [{"name": "Afghanistan", "iso_code": "AFG"}, {"name": "Albania", "iso_code": "ALB"}, {"name": "Algeria", "iso_code": "DZA"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"name": {"type": "string"}, "iso_code": {"type": "string"}}, "required": ["iso_code", "name"]}} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/5289d5c1-c92b-4691-8148-73e95b2cf601/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Country Info | Get country information based on the given country name.
Parameters:
country (str): The name of the country.
Returns:
str: The country information. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/5289d5c1-c92b-4691-8148-73e95b2cf601/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Country Info | Get country information based on the given country name.
Parameters:
country (str): The name of the country.
Returns:
str: The country information. | 200 | null | {"name": "Canada", "altSpellings": ["CA"], "area": 9984670, "borders": ["USA"], "callingCodes": ["1"], "capital": "Ottawa", "capital_latlng": [45.421106, -75.690308], "currencies": ["CAD"], "demonym": "Canadian", "flag": "https://flagcdn.com/w160/ca.png", "geoJSON": {"type": "FeatureCollection", "features": [{"type": "Feature", "id": "CAN", "properties": {"name": "Canada"}, "geometry": {"type": "MultiPolygon", "coordinates": [[[[-63.6645, 46.55001], [-62.9393, 46.41587], [-62.01208, 46.44314], [-62.50391, 46.03339], [-62.87433, 45.96818], [-64.1428, 46.39265], [-64.39261, 46.72747], [-64.01486, 47.03601], [-63.6645, 46.55001]]], [[[-61.806305, 49.10506], [-62.29318, 49.08717], [-63.58926, 49.40069], [-64.51912, 49.87304], [-64.17322, 49.95718], [-62.85829, 49.70641], [-61.835585, 49.28855], [-61.806305, 49.10506]]], [[[-123.510002, 48.510011], [-124.012891, 48.370846], [-125.655013, 48.825005], [-125.954994, 49.179996], [-126.850004, 49.53], [-127.029993, 49.814996], [-128.059336, 49.994959], [-128.444584, 50.539138], [-128.358414, 50.770648], [-127.308581, 50.552574], [-126.695001, 50.400903], [-125.755007, 50.295018], [-125.415002, 49.950001], [-124.920768, 49.475275], [-123.922509, 49.062484], [-123.510002, 48.510011]]], [[[-56.134036, 50.68701], [-56.795882, 49.812309], [-56.143105, 50.150117], [-55.471492, 49.935815], [-55.822401, 49.587129], [-54.935143, 49.313011], [-54.473775, 49.556691], [-53.476549, 49.249139], [-53.786014, 48.516781], [-53.086134, 48.687804], [-52.958648, 48.157164], [-52.648099, 47.535548], [-53.069158, 46.655499], [-53.521456, 46.618292], [-54.178936, 46.807066], [-53.961869, 47.625207], [-54.240482, 47.752279], [-55.400773, 46.884994], [-55.997481, 46.91972], [-55.291219, 47.389562], [-56.250799, 47.632545], [-57.325229, 47.572807], [-59.266015, 47.603348], [-59.419494, 47.899454], [-58.796586, 48.251525], [-59.231625, 48.523188], [-58.391805, 49.125581], [-57.35869, 50.718274], [-56.73865, 51.287438], [-55.870977, 51.632094], [-55.406974, 51.588273], [-55.600218, 51.317075], [-56.134036, 50.68701]]], [[[-132.710008, 54.040009], [-131.74999, 54.120004], [-132.04948, 52.984621], [-131.179043, 52.180433], [-131.57783, 52.182371], [-132.180428, 52.639707], [-132.549992, 53.100015], [-133.054611, 53.411469], [-133.239664, 53.85108], [-133.180004, 54.169975], [-132.710008, 54.040009]]], [[[-79.26582, 62.158675], [-79.65752, 61.63308], [-80.09956, 61.7181], [-80.36215, 62.01649], [-80.315395, 62.085565], [-79.92939, 62.3856], [-79.52002, 62.36371], [-79.26582, 62.158675]]], [[[-81.89825, 62.7108], [-83.06857, 62.15922], [-83.77462, 62.18231], [-83.99367, 62.4528], [-83.25048, 62.91409], [-81.87699, 62.90458], [-81.89825, 62.7108]]], [[[-85.161308, 65.657285], [-84.975764, 65.217518], [-84.464012, 65.371772], [-83.882626, 65.109618], [-82.787577, 64.766693], [-81.642014, 64.455136], [-81.55344, 63.979609], [-80.817361, 64.057486], [-80.103451, 63.725981], [-80.99102, 63.411246], [-82.547178, 63.651722], [-83.108798, 64.101876], [-84.100417, 63.569712], [-85.523405, 63.052379], [-85.866769, 63.637253], [-87.221983, 63.541238], [-86.35276, 64.035833], [-86.224886, 64.822917], [-85.883848, 65.738778], [-85.161308, 65.657285]]], [[[-75.86588, 67.14886], [-76.98687, 67.09873], [-77.2364, 67.58809], [-76.81166, 68.14856], [-75.89521, 68.28721], [-75.1145, 68.01036], [-75.10333, 67.58202], [-75.21597, 67.44425], [-75.86588, 67.14886]]], [[[-95.647681, 69.10769], [-96.269521, 68.75704], [-97.617401, 69.06003], [-98.431801, 68.9507], [-99.797401, 69.40003], [-98.917401, 69.71003], [-98.218261, 70.14354], [-97.157401, 69.86003], [-96.557401, 69.68003], [-96.257401, 69.49003], [-95.647681, 69.10769]]], [[[-90.5471, 69.49766], [-90.55151, 68.47499], [-89.21515, 69.25873], [-88.01966, 68.61508], [-88.31749, 67.87338], [-87.35017, 67.19872], [-86.30607, 67.92146], [-85.57664, 68.78456], [-85.52197, 69.88211], [-84.10081, 69.80539], [-82.62258, 69.65826], [-81.28043, 69.16202], [-81.2202, 68.66567], [-81.96436, 68.13253], [-81.25928, 67.59716], [-81.38653, 67.11078], [-83.34456, 66.41154], [-84.73542, 66.2573], [-85.76943, 66.55833], [-86.0676, 66.05625], [-87.03143, 65.21297], [-87.32324, 64.77563], [-88.48296, 64.09897], [-89.91444, 64.03273], [-90.70398, 63.61017], [-90.77004, 62.96021], [-91.93342, 62.83508], [-93.15698, 62.02469], [-94.24153, 60.89865], [-94.62931, 60.11021], [-94.6846, 58.94882], [-93.21502, 58.78212], [-92.76462, 57.84571], [-92.29703, 57.08709], [-90.89769, 57.28468], [-89.03953, 56.85172], [-88.03978, 56.47162], [-87.32421, 55.99914], [-86.07121, 55.72383], [-85.01181, 55.3026], [-83.36055, 55.24489], [-82.27285, 55.14832], [-82.4362, 54.28227], [-82.12502, 53.27703], [-81.40075, 52.15788], [-79.91289, 51.20842], [-79.14301, 51.53393], [-78.60191, 52.56208], [-79.12421, 54.14145], [-79.82958, 54.66772], [-78.22874, 55.13645], [-77.0956, 55.83741], [-76.54137, 56.53423], [-76.62319, 57.20263], [-77.30226, 58.05209], [-78.51688, 58.80458], [-77.33676, 59.85261], [-77.77272, 60.75788], [-78.10687, 62.31964], [-77.41067, 62.55053], [-75.69621, 62.2784], [-74.6682, 62.18111], [-73.83988, 62.4438], [-72.90853, 62.10507], [-71.67708, 61.52535], [-71.37369, 61.13717], [-69.59042, 61.06141], [-69.62033, 60.22125], [-69.2879, 58.95736], [-68.37455, 58.80106], [-67.64976, 58.21206], [-66.20178, 58.76731], [-65.24517, 59.87071], [-64.58352, 60.33558], [-63.80475, 59.4426], [-62.50236, 58.16708], [-61.39655, 56.96745], [-61.79866, 56.33945], [-60.46853, 55.77548], [-59.56962, 55.20407], [-57.97508, 54.94549], [-57.3332, 54.6265], [-56.93689, 53.78032], [-56.15811, 53.64749], [-55.75632, 53.27036], [-55.68338, 52.14664], [-56.40916, 51.7707], [-57.12691, 51.41972], [-58.77482, 51.0643], [-60.03309, 50.24277], [-61.72366, 50.08046], [-63.86251, 50.29099], [-65.36331, 50.2982], [-66.39905, 50.22897], [-67.23631, 49.51156], [-68.51114, 49.06836], [-69.95362, 47.74488], [-71.10458, 46.82171], [-70.25522, 46.98606], [-68.65, 48.3], [-66.55243, 49.1331], [-65.05626, 49.23278], [-64.17099, 48.74248], [-65.11545, 48.07085], [-64.79854, 46.99297], [-64.47219, 46.23849], [-63.17329, 45.73902], [-61.52072, 45.88377], [-60.51815, 47.00793], [-60.4486, 46.28264], [-59.80287, 45.9204], [-61.03988, 45.26525], [-63.25471, 44.67014], [-64.24656, 44.26553], [-65.36406, 43.54523], [-66.1234, 43.61867], [-66.16173, 44.46512], [-64.42549, 45.29204], [-66.02605, 45.25931], [-67.13741, 45.13753], [-67.79134, 45.70281], [-67.79046, 47.06636], [-68.23444, 47.35486], [-68.905, 47.185], [-69.237216, 47.447781], [-69.99997, 46.69307], [-70.305, 45.915], [-70.66, 45.46], [-71.08482, 45.30524], [-71.405, 45.255], [-71.50506, 45.0082], [-73.34783, 45.00738], [-74.867, 45.00048], [-75.31821, 44.81645], [-76.375, 44.09631], [-76.5, 44.018459], [-76.820034, 43.628784], [-77.737885, 43.629056], [-78.72028, 43.625089], [-79.171674, 43.466339], [-79.01, 43.27], [-78.92, 42.965], [-78.939362, 42.863611], [-80.247448, 42.3662], [-81.277747, 42.209026], [-82.439278, 41.675105], [-82.690089, 41.675105], [-83.02981, 41.832796], [-83.142, 41.975681], [-83.12, 42.08], [-82.9, 42.43], [-82.43, 42.98], [-82.137642, 43.571088], [-82.337763, 44.44], [-82.550925, 45.347517], [-83.592851, 45.816894], [-83.469551, 45.994686], [-83.616131, 46.116927], [-83.890765, 46.116927], [-84.091851, 46.275419], [-84.14212, 46.512226], [-84.3367, 46.40877], [-84.6049, 46.4396], [-84.543749, 46.538684], [-84.779238, 46.637102], [-84.87608, 46.900083], [-85.652363, 47.220219], [-86.461991, 47.553338], [-87.439793, 47.94], [-88.378114, 48.302918], [-89.272917, 48.019808], [-89.6, 48.01], [-90.83, 48.27], [-91.64, 48.14], [-92.61, 48.45], [-93.63087, 48.60926], [-94.32914, 48.67074], [-94.64, 48.84], [-94.81758, 49.38905], [-95.15609, 49.38425], [-95.15907, 49], [-97.22872, 49.0007], [-100.65, 49], [-104.04826, 48.99986], [-107.05, 49], [-110.05, 49], [-113, 49], [-116.04818, 49], [-117.03121, 49], [-120, 49], [-122.84, 49], [-122.97421, 49.002538], [-124.91024, 49.98456], [-125.62461, 50.41656], [-127.43561, 50.83061], [-127.99276, 51.71583], [-127.85032, 52.32961], [-129.12979, 52.75538], [-129.30523, 53.56159], [-130.51497, 54.28757], [-130.53611, 54.80278], [-129.98, 55.285], [-130.00778, 55.91583], [-131.70781, 56.55212], [-132.73042, 57.69289], [-133.35556, 58.41028], [-134.27111, 58.86111], [-134.945, 59.27056], [-135.47583, 59.78778], [-136.47972, 59.46389], [-137.4525, 58.905], [-138.34089, 59.56211], [-139.039, 60], [-140.013, 60.27682], [-140.99778, 60.30639], [-140.9925, 66.00003], [-140.986, 69.712], [-139.12052, 69.47102], [-137.54636, 68.99002], [-136.50358, 68.89804], [-135.62576, 69.31512], [-134.41464, 69.62743], [-132.92925, 69.50534], [-131.43136, 69.94451], [-129.79471, 70.19369], [-129.10773, 69.77927], [-128.36156, 70.01286], [-128.13817, 70.48384], [-127.44712, 70.37721], [-125.75632, 69.48058], [-124.42483, 70.1584], [-124.28968, 69.39969], [-123.06108, 69.56372], [-122.6835, 69.85553], [-121.47226, 69.79778], [-119.94288, 69.37786], [-117.60268, 69.01128], [-116.22643, 68.84151], [-115.2469, 68.90591], [-113.89794, 68.3989], [-115.30489, 67.90261], [-113.49727, 67.68815], [-110.798, 67.80612], [-109.94619, 67.98104], [-108.8802, 67.38144], [-107.79239, 67.88736], [-108.81299, 68.31164], [-108.16721, 68.65392], [-106.95, 68.7], [-106.15, 68.8], [-105.34282, 68.56122], [-104.33791, 68.018], [-103.22115, 68.09775], [-101.45433, 67.64689], [-99.90195, 67.80566], [-98.4432, 67.78165], [-98.5586, 68.40394], [-97.66948, 68.57864], [-96.11991, 68.23939], [-96.12588, 67.29338], [-95.48943, 68.0907], [-94.685, 68.06383], [-94.23282, 69.06903], [-95.30408, 69.68571], [-96.47131, 70.08976], [-96.39115, 71.19482], [-95.2088, 71.92053], [-93.88997, 71.76015], [-92.87818, 71.31869], [-91.51964, 70.19129], [-92.40692, 69.69997], [-90.5471, 69.49766]]], [[[-114.16717, 73.12145], [-114.66634, 72.65277], [-112.44102, 72.9554], [-111.05039, 72.4504], [-109.92035, 72.96113], [-109.00654, 72.63335], [-108.18835, 71.65089], [-107.68599, 72.06548], [-108.39639, 73.08953], [-107.51645, 73.23598], [-106.52259, 73.07601], [-105.40246, 72.67259], [-104.77484, 71.6984], [-104.46476, 70.99297], [-102.78537, 70.49776], [-100.98078, 70.02432], [-101.08929, 69.58447], [-102.73116, 69.50402], [-102.09329, 69.11962], [-102.43024, 68.75282], [-104.24, 68.91], [-105.96, 69.18], [-107.12254, 69.11922], [-109, 68.78], [-111.534149, 68.630059], [-113.3132, 68.53554], [-113.85496, 69.00744], [-115.22, 69.28], [-116.10794, 69.16821], [-117.34, 69.96], [-116.67473, 70.06655], [-115.13112, 70.2373], [-113.72141, 70.19237], [-112.4161, 70.36638], [-114.35, 70.6], [-116.48684, 70.52045], [-117.9048, 70.54056], [-118.43238, 70.9092], [-116.11311, 71.30918], [-117.65568, 71.2952], [-119.40199, 71.55859], [-118.56267, 72.30785], [-117.86642, 72.70594], [-115.18909, 73.31459], [-114.16717, 73.12145]]], [[[-104.5, 73.42], [-105.38, 72.76], [-106.94, 73.46], [-106.6, 73.6], [-105.26, 73.64], [-104.5, 73.42]]], [[[-76.34, 73.102685], [-76.251404, 72.826385], [-77.314438, 72.855545], [-78.39167, 72.876656], [-79.486252, 72.742203], [-79.775833, 72.802902], [-80.876099, 73.333183], [-80.833885, 73.693184], [-80.353058, 73.75972], [-78.064438, 73.651932], [-76.34, 73.102685]]], [[[-86.562179, 73.157447], [-85.774371, 72.534126], [-84.850112, 73.340278], [-82.31559, 73.750951], [-80.600088, 72.716544], [-80.748942, 72.061907], [-78.770639, 72.352173], [-77.824624, 72.749617], [-75.605845, 72.243678], [-74.228616, 71.767144], [-74.099141, 71.33084], [-72.242226, 71.556925], [-71.200015, 70.920013], [-68.786054, 70.525024], [-67.91497, 70.121948], [-66.969033, 69.186087], [-68.805123, 68.720198], [-66.449866, 68.067163], [-64.862314, 67.847539], [-63.424934, 66.928473], [-61.851981, 66.862121], [-62.163177, 66.160251], [-63.918444, 64.998669], [-65.14886, 65.426033], [-66.721219, 66.388041], [-68.015016, 66.262726], [-68.141287, 65.689789], [-67.089646, 65.108455], [-65.73208, 64.648406], [-65.320168, 64.382737], [-64.669406, 63.392927], [-65.013804, 62.674185], [-66.275045, 62.945099], [-68.783186, 63.74567], [-67.369681, 62.883966], [-66.328297, 62.280075], [-66.165568, 61.930897], [-68.877367, 62.330149], [-71.023437, 62.910708], [-72.235379, 63.397836], [-71.886278, 63.679989], [-73.378306, 64.193963], [-74.834419, 64.679076], [-74.818503, 64.389093], [-77.70998, 64.229542], [-78.555949, 64.572906], [-77.897281, 65.309192], [-76.018274, 65.326969], [-73.959795, 65.454765], [-74.293883, 65.811771], [-73.944912, 66.310578], [-72.651167, 67.284576], [-72.92606, 67.726926], [-73.311618, 68.069437], [-74.843307, 68.554627], [-76.869101, 68.894736], [-76.228649, 69.147769], [-77.28737, 69.76954], [-78.168634, 69.826488], [-78.957242, 70.16688], [-79.492455, 69.871808], [-81.305471, 69.743185], [-84.944706, 69.966634], [-87.060003, 70.260001], [-88.681713, 70.410741], [-89.51342, 70.762038], [-88.467721, 71.218186], [-89.888151, 71.222552], [-90.20516, 72.235074], [-89.436577, 73.129464], [-88.408242, 73.537889], [-85.826151, 73.803816], [-86.562179, 73.157447]]], [[[-100.35642, 73.84389], [-99.16387, 73.63339], [-97.38, 73.76], [-97.12, 73.47], [-98.05359, 72.99052], [-96.54, 72.56], [-96.72, 71.66], [-98.35966, 71.27285], [-99.32286, 71.35639], [-100.01482, 71.73827], [-102.5, 72.51], [-102.48, 72.83], [-100.43836, 72.70588], [-101.54, 73.36], [-100.35642, 73.84389]]], [[[-93.196296, 72.771992], [-94.269047, 72.024596], [-95.409856, 72.061881], [-96.033745, 72.940277], [-96.018268, 73.43743], [-95.495793, 73.862417], [-94.503658, 74.134907], [-92.420012, 74.100025], [-90.509793, 73.856732], [-92.003965, 72.966244], [-93.196296, 72.771992]]], [[[-120.46, 71.383602], [-123.09219, 70.90164], [-123.62, 71.34], [-125.928949, 71.868688], [-125.5, 72.292261], [-124.80729, 73.02256], [-123.94, 73.68], [-124.91775, 74.29275], [-121.53788, 74.44893], [-120.10978, 74.24135], [-117.55564, 74.18577], [-116.58442, 73.89607], [-115.51081, 73.47519], [-116.76794, 73.22292], [-119.22, 72.52], [-120.46, 71.82], [-120.46, 71.383602]]], [[[-93.612756, 74.979997], [-94.156909, 74.592347], [-95.608681, 74.666864], [-96.820932, 74.927623], [-96.288587, 75.377828], [-94.85082, 75.647218], [-93.977747, 75.29649], [-93.612756, 74.979997]]], [[[-98.5, 76.72], [-97.735585, 76.25656], [-97.704415, 75.74344], [-98.16, 75], [-99.80874, 74.89744], [-100.88366, 75.05736], [-100.86292, 75.64075], [-102.50209, 75.5638], [-102.56552, 76.3366], [-101.48973, 76.30537], [-99.98349, 76.64634], [-98.57699, 76.58859], [-98.5, 76.72]]], [[[-108.21141, 76.20168], [-107.81943, 75.84552], [-106.92893, 76.01282], [-105.881, 75.9694], [-105.70498, 75.47951], [-106.31347, 75.00527], [-109.7, 74.85], [-112.22307, 74.41696], [-113.74381, 74.39427], [-113.87135, 74.72029], [-111.79421, 75.1625], [-116.31221, 75.04343], [-117.7104, 75.2222], [-116.34602, 76.19903], [-115.40487, 76.47887], [-112.59056, 76.14134], [-110.81422, 75.54919], [-109.0671, 75.47321], [-110.49726, 76.42982], [-109.5811, 76.79417], [-108.54859, 76.67832], [-108.21141, 76.20168]]], [[[-94.684086, 77.097878], [-93.573921, 76.776296], [-91.605023, 76.778518], [-90.741846, 76.449597], [-90.969661, 76.074013], [-89.822238, 75.847774], [-89.187083, 75.610166], [-87.838276, 75.566189], [-86.379192, 75.482421], [-84.789625, 75.699204], [-82.753445, 75.784315], [-81.128531, 75.713983], [-80.057511, 75.336849], [-79.833933, 74.923127], [-80.457771, 74.657304], [-81.948843, 74.442459], [-83.228894, 74.564028], [-86.097452, 74.410032], [-88.15035, 74.392307], [-89.764722, 74.515555], [-92.422441, 74.837758], [-92.768285, 75.38682], [-92.889906, 75.882655], [-93.893824, 76.319244], [-95.962457, 76.441381], [-97.121379, 76.751078], [-96.745123, 77.161389], [-94.684086, 77.097878]]], [[[-116.198587, 77.645287], [-116.335813, 76.876962], [-117.106051, 76.530032], [-118.040412, 76.481172], [-119.899318, 76.053213], [-121.499995, 75.900019], [-122.854924, 76.116543], [-122.854925, 76.116543], [-121.157535, 76.864508], [-119.103939, 77.51222], [-117.570131, 77.498319], [-116.198587, 77.645287]]], [[[-93.840003, 77.519997], [-94.295608, 77.491343], [-96.169654, 77.555111], [-96.436304, 77.834629], [-94.422577, 77.820005], [-93.720656, 77.634331], [-93.840003, 77.519997]]], [[[-110.186938, 77.697015], [-112.051191, 77.409229], [-113.534279, 77.732207], [-112.724587, 78.05105], [-111.264443, 78.152956], [-109.854452, 77.996325], [-110.186938, 77.697015]]], [[[-109.663146, 78.601973], [-110.881314, 78.40692], [-112.542091, 78.407902], [-112.525891, 78.550555], [-111.50001, 78.849994], [-110.963661, 78.804441], [-109.663146, 78.601973]]], [[[-95.830295, 78.056941], [-97.309843, 77.850597], [-98.124289, 78.082857], [-98.552868, 78.458105], [-98.631984, 78.87193], [-97.337231, 78.831984], [-96.754399, 78.765813], [-95.559278, 78.418315], [-95.830295, 78.056941]]], [[[-100.060192, 78.324754], [-99.670939, 77.907545], [-101.30394, 78.018985], [-102.949809, 78.343229], [-105.176133, 78.380332], [-104.210429, 78.67742], [-105.41958, 78.918336], [-105.492289, 79.301594], [-103.529282, 79.165349], [-100.825158, 78.800462], [-100.060192, 78.324754]]], [[[-87.02, 79.66], [-85.81435, 79.3369], [-87.18756, 79.0393], [-89.03535, 78.28723], [-90.80436, 78.21533], [-92.87669, 78.34333], [-93.95116, 78.75099], [-93.93574, 79.11373], [-93.14524, 79.3801], [-94.974, 79.37248], [-96.07614, 79.70502], [-96.70972, 80.15777], [-96.01644, 80.60233], [-95.32345, 80.90729], [-94.29843, 80.97727], [-94.73542, 81.20646], [-92.40984, 81.25739], [-91.13289, 80.72345], [-89.45, 80.509322], [-87.81, 80.32], [-87.02, 79.66]]], [[[-68.5, 83.106322], [-65.82735, 83.02801], [-63.68, 82.9], [-61.85, 82.6286], [-61.89388, 82.36165], [-64.334, 81.92775], [-66.75342, 81.72527], [-67.65755, 81.50141], [-65.48031, 81.50657], [-67.84, 80.9], [-69.4697, 80.61683], [-71.18, 79.8], [-73.2428, 79.63415], [-73.88, 79.430162], [-76.90773, 79.32309], [-75.52924, 79.19766], [-76.22046, 79.01907], [-75.39345, 78.52581], [-76.34354, 78.18296], [-77.88851, 77.89991], [-78.36269, 77.50859], [-79.75951, 77.20968], [-79.61965, 76.98336], [-77.91089, 77.022045], [-77.88911, 76.777955], [-80.56125, 76.17812], [-83.17439, 76.45403], [-86.11184, 76.29901], [-87.6, 76.42], [-89.49068, 76.47239], [-89.6161, 76.95213], [-87.76739, 77.17833], [-88.26, 77.9], [-87.65, 77.970222], [-84.97634, 77.53873], [-86.34, 78.18], [-87.96192, 78.37181], [-87.15198, 78.75867], [-85.37868, 78.9969], [-85.09495, 79.34543], [-86.50734, 79.73624], [-86.93179, 80.25145], [-84.19844, 80.20836], [-83.408696, 80.1], [-81.84823, 80.46442], [-84.1, 80.58], [-87.59895, 80.51627], [-89.36663, 80.85569], [-90.2, 81.26], [-91.36786, 81.5531], [-91.58702, 81.89429], [-90.1, 82.085], [-88.93227, 82.11751], [-86.97024, 82.27961], [-85.5, 82.652273], [-84.260005, 82.6], [-83.18, 82.32], [-82.42, 82.86], [-81.1, 83.02], [-79.30664, 83.13056], [-76.25, 83.172059], [-75.71878, 83.06404], [-72.83153, 83.23324], [-70.665765, 83.169781], [-68.5, 83.106322]]]]}}]}, "ISO": {"alpha2": "CA", "alpha3": "CAN"}, "languages": ["en", "fr"], "latlng": [60, -95], "nativeName": "Canada", "population": 35540419, "provinces": ["Alberta", "British Columbia", "Manitoba", "New Brunswick", "Newfoundland", "Northwest Territories", "Nova Scotia", "Nunavut", "Ontario", "Prince Edward Island", "Quebec", "Saskatchewan", "Yukon Territory"], "region": "Americas", "subregion": "Northern America", "timezones": ["UTC\u221208:00", "UTC\u221207:00", "UTC\u221206:00", "UTC\u221205:00", "UTC\u221204:00", "UTC\u221203:30"], "tld": [".ca"], "translations": {"de": "Kanada", "es": "Canad\u00e1", "fr": "Canada", "ja": "\u30ab\u30ca\u30c0", "it": "Canada"}, "wiki": "http://en.wikipedia.org/wiki/canada"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"name": {"type": "string"}, "altSpellings": {"type": "array", "items": {"type": "string"}}, "area": {"type": "integer"}, "borders": {"type": "array", "items": {"type": "string"}}, "callingCodes": {"type": "array", "items": {"type": "string"}}, "capital": {"type": "string"}, "capital_latlng": {"type": "array", "items": {"type": "number"}}, "currencies": {"type": "array", "items": {"type": "string"}}, "demonym": {"type": "string"}, "flag": {"type": "string"}, "geoJSON": {"type": "object", "properties": {"type": {"type": "string"}, "features": {"type": "array", "items": {"type": "object", "properties": {"type": {"type": "string"}, "id": {"type": "string"}, "properties": {"type": "object", "properties": {"name": {"type": "string"}}, "required": ["name"]}, "geometry": {"type": "object", "properties": {"type": {"type": "string"}, "coordinates": {"type": "array", "items": {"type": "array", "items": {"type": "array", "items": {"type": "array", "items": {"type": "number"}}}}}}, "required": ["coordinates", "type"]}}, "required": ["geometry", "id", "properties", "type"]}}}, "required": ["features", "type"]}, "ISO": {"type": "object", "properties": {"alpha2": {"type": "string"}, "alpha3": {"type": "string"}}, "required": ["alpha2", "alpha3"]}, "languages": {"type": "array", "items": {"type": "string"}}, "latlng": {"type": "array", "items": {"type": "integer"}}, "nativeName": {"type": "string"}, "population": {"type": "integer"}, "provinces": {"type": "array", "items": {"type": "string"}}, "region": {"type": "string"}, "subregion": {"type": "string"}, "timezones": {"type": "array", "items": {"type": "string"}}, "tld": {"type": "array", "items": {"type": "string"}}, "translations": {"type": "object", "properties": {"de": {"type": "string"}, "es": {"type": "string"}, "fr": {"type": "string"}, "ja": {"type": "string"}, "it": {"type": "string"}}, "required": ["de", "es", "fr", "it", "ja"]}, "wiki": {"type": "string"}}, "required": ["ISO", "altSpellings", "area", "borders", "callingCodes", "capital", "capital_latlng", "currencies", "demonym", "flag", "geoJSON", "languages", "latlng", "name", "nativeName", "population", "provinces", "region", "subregion", "timezones", "tld", "translations", "wiki"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/0dd2d54f-40df-4a56-b13e-f07c9d4455a0/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Flag | Retrieves the flag of a country.
Args:
country (str): The name of the country.
Returns:
str: The URL of the country flag.
Source:
https://flagpedia.net/ | 200 | null | ["https://flagcdn.com/w160/jp.png"] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "string"}} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/0dd2d54f-40df-4a56-b13e-f07c9d4455a0/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Flag | Retrieves the flag of a country.
Args:
country (str): The name of the country.
Returns:
str: The URL of the country flag.
Source:
https://flagpedia.net/ | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/8f1527ed-dda6-4833-a94a-8a3a969e53c1/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Trade | Retrieves trade indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The trade indicators for the specified country. | 200 | null | {"2020": {"Energy imports, net (% of energy use)": "null", "Exports of goods and services (% of GDP)": 15.5494225002, "Fuel exports (% of merchandise exports)": 1.1892879795, "High-technology exports (% of manufactured exports)": 18.6010339335, "High-technology exports (current US$)": 102751095238, "Imports of goods and services (% of GDP)": 15.8185464782, "International tourism, expenditures (% of total imports)": 0.840640298, "International tourism, receipts (% of total exports)": 1.4346126167, "Lead time to export, median case (days)": "null", "Lead time to import, median case (days)": "null", "Logistics performance index: Overall (1=low to 5=high)": "null", "Medium and high-tech exports (% manufactured exports)": 81.5308454269, "Merchandise exports (current US$)": 641319000000, "Merchandise imports (current US$)": 635460000000, "Merchandise trade (% of GDP)": 25.2888138003, "Net barter terms of trade index (2015 = 100)": 106.4923354471, "Ores and metals exports (% of merchandise exports)": 3.1273950813}, "2021": {"Energy imports, net (% of energy use)": "null", "Exports of goods and services (% of GDP)": 18.2015776714, "Fuel exports (% of merchandise exports)": 1.3510588866, "High-technology exports (% of manufactured exports)": 17.9759739407, "High-technology exports (current US$)": 116513861428, "Imports of goods and services (% of GDP)": 18.7389477543, "International tourism, expenditures (% of total imports)": "null", "International tourism, receipts (% of total exports)": "null", "Lead time to export, median case (days)": "null", "Lead time to import, median case (days)": "null", "Logistics performance index: Overall (1=low to 5=high)": "null", "Medium and high-tech exports (% manufactured exports)": "null", "Merchandise exports (current US$)": 756032000000, "Merchandise imports (current US$)": 768976000000, "Merchandise trade (% of GDP)": 30.4664230869, "Net barter terms of trade index (2015 = 100)": 94.9227977621, "Ores and metals exports (% of merchandise exports)": 3.5042884597}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Energy imports, net (% of energy use)": {"type": "string"}, "Exports of goods and services (% of GDP)": {"type": "number"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "High-technology exports (% of manufactured exports)": {"type": "number"}, "High-technology exports (current US$)": {"type": "integer"}, "Imports of goods and services (% of GDP)": {"type": "number"}, "International tourism, expenditures (% of total imports)": {"type": "number"}, "International tourism, receipts (% of total exports)": {"type": "number"}, "Lead time to export, median case (days)": {"type": "string"}, "Lead time to import, median case (days)": {"type": "string"}, "Logistics performance index: Overall (1=low to 5=high)": {"type": "string"}, "Medium and high-tech exports (% manufactured exports)": {"type": "number"}, "Merchandise exports (current US$)": {"type": "integer"}, "Merchandise imports (current US$)": {"type": "integer"}, "Merchandise trade (% of GDP)": {"type": "number"}, "Net barter terms of trade index (2015 = 100)": {"type": "number"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}}, "required": ["Energy imports, net (% of energy use)", "Exports of goods and services (% of GDP)", "Fuel exports (% of merchandise exports)", "High-technology exports (% of manufactured exports)", "High-technology exports (current US$)", "Imports of goods and services (% of GDP)", "International tourism, expenditures (% of total imports)", "International tourism, receipts (% of total exports)", "Lead time to export, median case (days)", "Lead time to import, median case (days)", "Logistics performance index: Overall (1=low to 5=high)", "Medium and high-tech exports (% manufactured exports)", "Merchandise exports (current US$)", "Merchandise imports (current US$)", "Merchandise trade (% of GDP)", "Net barter terms of trade index (2015 = 100)", "Ores and metals exports (% of merchandise exports)"]}, "2021": {"type": "object", "properties": {"Energy imports, net (% of energy use)": {"type": "string"}, "Exports of goods and services (% of GDP)": {"type": "number"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "High-technology exports (% of manufactured exports)": {"type": "number"}, "High-technology exports (current US$)": {"type": "integer"}, "Imports of goods and services (% of GDP)": {"type": "number"}, "International tourism, expenditures (% of total imports)": {"type": "string"}, "International tourism, receipts (% of total exports)": {"type": "string"}, "Lead time to export, median case (days)": {"type": "string"}, "Lead time to import, median case (days)": {"type": "string"}, "Logistics performance index: Overall (1=low to 5=high)": {"type": "string"}, "Medium and high-tech exports (% manufactured exports)": {"type": "string"}, "Merchandise exports (current US$)": {"type": "integer"}, "Merchandise imports (current US$)": {"type": "integer"}, "Merchandise trade (% of GDP)": {"type": "number"}, "Net barter terms of trade index (2015 = 100)": {"type": "number"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}}, "required": ["Energy imports, net (% of energy use)", "Exports of goods and services (% of GDP)", "Fuel exports (% of merchandise exports)", "High-technology exports (% of manufactured exports)", "High-technology exports (current US$)", "Imports of goods and services (% of GDP)", "International tourism, expenditures (% of total imports)", "International tourism, receipts (% of total exports)", "Lead time to export, median case (days)", "Lead time to import, median case (days)", "Logistics performance index: Overall (1=low to 5=high)", "Medium and high-tech exports (% manufactured exports)", "Merchandise exports (current US$)", "Merchandise imports (current US$)", "Merchandise trade (% of GDP)", "Net barter terms of trade index (2015 = 100)", "Ores and metals exports (% of merchandise exports)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/8f1527ed-dda6-4833-a94a-8a3a969e53c1/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Trade | Retrieves trade indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The trade indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/ebb86cdc-c73a-48e6-8a58-09f16cde4d44/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Social Protection and Labor | Retrieves the social protection and labor indicators for a specific country.
Parameters:
- country (str): The name of the country for which to retrieve the indicators.
Returns:
- The social protection and labor indicators for the specified country. | 200 | null | {"2020": {"Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children in employment, total (% of children ages 7-14)": "null", "Contributing family workers, female (% of female employment) (modeled ILO estimate)": 3.835789, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": 0.7334473, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.808059, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.60372, "Employment in industry, female (% of female employment) (modeled ILO estimate)": 13.73844, "Employment in industry, male (% of male employment) (modeled ILO estimate)": 32.17656, "Employment in services, female (% of female employment) (modeled ILO estimate)": 83.45351, "Employment in services, male (% of male employment) (modeled ILO estimate)": 64.21972, "Employment to population ratio, 15+, total (%) (modeled ILO estimate)": 60.264, "GDP per person employed (constant 2017 PPP $)": 75333.891235908, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.213, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.417, "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)": 62, "Labor force, female (% of total labor force)": 44.3999323143, "Labor force, total": 68953988, "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.52, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.024, "Unemployment, total (% of total labor force) (modeled ILO estimate)": 2.8, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": 4.227, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": 5.043, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.729402, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.6992743, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": 91.59383, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": 88.67396}, "2021": {"Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children in employment, total (% of children ages 7-14)": "null", "Contributing family workers, female (% of female employment) (modeled ILO estimate)": 3.756361, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": 0.7643973, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.665023, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.578196, "Employment in industry, female (% of female employment) (modeled ILO estimate)": 13.67309, "Employment in industry, male (% of male employment) (modeled ILO estimate)": 31.83589, "Employment in services, female (% of female employment) (modeled ILO estimate)": 83.66187, "Employment in services, male (% of male employment) (modeled ILO estimate)": 64.58592, "Employment to population ratio, 15+, total (%) (modeled ILO estimate)": 60.361, "GDP per person employed (constant 2017 PPP $)": 77054.4327140901, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.507, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.31, "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)": 62.1, "Labor force, female (% of total labor force)": 44.57545149, "Labor force, total": 68858892, "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.471, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.064, "Unemployment, total (% of total labor force) (modeled ILO estimate)": 2.8, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": 4.059, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": 5.056, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.588784, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.5396343, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": 91.79816, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": 88.86074}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children in employment, total (% of children ages 7-14)": {"type": "string"}, "Contributing family workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment to population ratio, 15+, total (%) (modeled ILO estimate)": {"type": "number"}, "GDP per person employed (constant 2017 PPP $)": {"type": "number"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)": {"type": "integer"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Labor force, total": {"type": "integer"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, total (% of total labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}}, "required": ["Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children in employment, total (% of children ages 7-14)", "Contributing family workers, female (% of female employment) (modeled ILO estimate)", "Contributing family workers, male (% of male employment) (modeled ILO estimate)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Employment in industry, female (% of female employment) (modeled ILO estimate)", "Employment in industry, male (% of male employment) (modeled ILO estimate)", "Employment in services, female (% of female employment) (modeled ILO estimate)", "Employment in services, male (% of male employment) (modeled ILO estimate)", "Employment to population ratio, 15+, total (%) (modeled ILO estimate)", "GDP per person employed (constant 2017 PPP $)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)", "Labor force, female (% of total labor force)", "Labor force, total", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, total (% of total labor force) (modeled ILO estimate)", "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)", "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)", "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)", "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)"]}, "2021": {"type": "object", "properties": {"Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children in employment, total (% of children ages 7-14)": {"type": "string"}, "Contributing family workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment to population ratio, 15+, total (%) (modeled ILO estimate)": {"type": "number"}, "GDP per person employed (constant 2017 PPP $)": {"type": "number"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Labor force, total": {"type": "integer"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, total (% of total labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}}, "required": ["Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children in employment, total (% of children ages 7-14)", "Contributing family workers, female (% of female employment) (modeled ILO estimate)", "Contributing family workers, male (% of male employment) (modeled ILO estimate)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Employment in industry, female (% of female employment) (modeled ILO estimate)", "Employment in industry, male (% of male employment) (modeled ILO estimate)", "Employment in services, female (% of female employment) (modeled ILO estimate)", "Employment in services, male (% of male employment) (modeled ILO estimate)", "Employment to population ratio, 15+, total (%) (modeled ILO estimate)", "GDP per person employed (constant 2017 PPP $)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Labor force participation rate, total (% of total population ages 15+) (modeled ILO estimate)", "Labor force, female (% of total labor force)", "Labor force, total", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, total (% of total labor force) (modeled ILO estimate)", "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)", "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)", "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)", "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/ebb86cdc-c73a-48e6-8a58-09f16cde4d44/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Social Protection and Labor | Retrieves the social protection and labor indicators for a specific country.
Parameters:
- country (str): The name of the country for which to retrieve the indicators.
Returns:
- The social protection and labor indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/5e412b11-5622-46a4-8fa5-5b8527ab782f/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Social Development | Retrieve the social development indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The social development indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/5e412b11-5622-46a4-8fa5-5b8527ab782f/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Social Development | Retrieve the social development indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The social development indicators for the specified country. | 200 | null | {"2020": {"Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.887, "Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children in employment, total (% of children ages 7-14)": "null", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.213, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.417, "Life expectancy at birth, female (years)": 87.71, "Life expectancy at birth, male (years)": 81.56, "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Proportion of seats held by women in national parliaments (%)": 9.8924731183, "Refugee population by country or territory of asylum": 1132, "Refugee population by country or territory of origin": 40, "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.52, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.024, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.729402, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.6992743}, "2021": {"Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.903, "Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children in employment, total (% of children ages 7-14)": "null", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.507, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.31, "Life expectancy at birth, female (years)": 87.57, "Life expectancy at birth, male (years)": 81.47, "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Proportion of seats held by women in national parliaments (%)": 9.6774193548, "Refugee population by country or territory of asylum": 1508, "Refugee population by country or territory of origin": 39, "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.471, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.064, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.588784, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.5396343}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children in employment, total (% of children ages 7-14)": {"type": "string"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Refugee population by country or territory of asylum": {"type": "integer"}, "Refugee population by country or territory of origin": {"type": "integer"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children in employment, total (% of children ages 7-14)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Proportion of seats held by women in national parliaments (%)", "Refugee population by country or territory of asylum", "Refugee population by country or territory of origin", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)"]}, "2021": {"type": "object", "properties": {"Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children in employment, total (% of children ages 7-14)": {"type": "string"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Refugee population by country or territory of asylum": {"type": "integer"}, "Refugee population by country or territory of origin": {"type": "integer"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children in employment, total (% of children ages 7-14)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Proportion of seats held by women in national parliaments (%)", "Refugee population by country or territory of asylum", "Refugee population by country or territory of origin", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/a4c4b64c-fca7-4726-bcc6-575364922fc7/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Environment | Get country environment indicators.
Args:
country (str): The name of the country.
Returns:
The country environment indicators. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/a4c4b64c-fca7-4726-bcc6-575364922fc7/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Environment | Get country environment indicators.
Args:
country (str): The name of the country.
Returns:
The country environment indicators. | 200 | null | {"2020": {"Access to electricity (% of population)": 100, "Adjusted net savings, including particulate emission damage (% of GNI)": 4.7191404248, "Agricultural land (% of land area)": 12.8449931413, "Annual freshwater withdrawals, total (% of internal resources)": 18.2325581395, "Annual freshwater withdrawals, total (billion cubic meters)": 78.4, "Arable land (% of land area)": 11.2592592593, "Bird species, threatened": "null", "CO2 emissions (kt)": 1014064.7, "CO2 emissions (metric tons per capita)": 8.0314958697, "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": 3.19, "Fish species, threatened": "null", "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area (sq. km)": 364500, "Land area where elevation is below 5 meters (% of total land area)": "null", "Mammal species, threatened": "null", "Methane emissions (kt of CO2 equivalent)": 25783.31233, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": 18498.40533, "Plant species (higher), threatened": "null", "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)": "null", "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)": "null", "Population living in areas where elevation is below 5 meters (% of total population)": "null", "Population living in slums (% of urban population)": "null", "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": 8.45, "Renewable internal freshwater resources per capita (cubic meters)": 3405.643864693, "Renewable internal freshwater resources, total (billion cubic meters)": 430, "Surface area (sq. km)": 377974, "Terrestrial and marine protected areas (% of total territorial area)": 10.0262020413, "Total greenhouse gas emissions (kt of CO2 equivalent)": 1094556.256, "Total natural resources rents (% of GDP)": 0.0969972012}, "2021": {"Access to electricity (% of population)": 100, "Adjusted net savings, including particulate emission damage (% of GNI)": "null", "Agricultural land (% of land area)": 12.7818930041, "Annual freshwater withdrawals, total (% of internal resources)": "null", "Annual freshwater withdrawals, total (billion cubic meters)": "null", "Arable land (% of land area)": 11.2098765432, "Bird species, threatened": "null", "CO2 emissions (kt)": "null", "CO2 emissions (metric tons per capita)": "null", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": 3.29, "Fish species, threatened": "null", "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area (sq. km)": 364500, "Land area where elevation is below 5 meters (% of total land area)": "null", "Mammal species, threatened": "null", "Methane emissions (kt of CO2 equivalent)": "null", "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": "null", "Plant species (higher), threatened": "null", "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)": "null", "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)": "null", "Population living in areas where elevation is below 5 meters (% of total population)": "null", "Population living in slums (% of urban population)": "null", "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": "null", "Renewable internal freshwater resources per capita (cubic meters)": "null", "Renewable internal freshwater resources, total (billion cubic meters)": "null", "Surface area (sq. km)": 377974, "Terrestrial and marine protected areas (% of total territorial area)": 15.2354423763, "Total greenhouse gas emissions (kt of CO2 equivalent)": "null", "Total natural resources rents (% of GDP)": 0.0473044628}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Adjusted net savings, including particulate emission damage (% of GNI)": {"type": "number"}, "Agricultural land (% of land area)": {"type": "number"}, "Annual freshwater withdrawals, total (% of internal resources)": {"type": "number"}, "Annual freshwater withdrawals, total (billion cubic meters)": {"type": "number"}, "Arable land (% of land area)": {"type": "number"}, "Bird species, threatened": {"type": "string"}, "CO2 emissions (kt)": {"type": "number"}, "CO2 emissions (metric tons per capita)": {"type": "number"}, "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": {"type": "number"}, "Fish species, threatened": {"type": "string"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area (sq. km)": {"type": "integer"}, "Land area where elevation is below 5 meters (% of total land area)": {"type": "string"}, "Mammal species, threatened": {"type": "string"}, "Methane emissions (kt of CO2 equivalent)": {"type": "number"}, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": {"type": "number"}, "Plant species (higher), threatened": {"type": "string"}, "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)": {"type": "string"}, "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)": {"type": "string"}, "Population living in areas where elevation is below 5 meters (% of total population)": {"type": "string"}, "Population living in slums (% of urban population)": {"type": "string"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "number"}, "Renewable internal freshwater resources per capita (cubic meters)": {"type": "number"}, "Renewable internal freshwater resources, total (billion cubic meters)": {"type": "integer"}, "Surface area (sq. km)": {"type": "integer"}, "Terrestrial and marine protected areas (% of total territorial area)": {"type": "number"}, "Total greenhouse gas emissions (kt of CO2 equivalent)": {"type": "number"}, "Total natural resources rents (% of GDP)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Adjusted net savings, including particulate emission damage (% of GNI)", "Agricultural land (% of land area)", "Annual freshwater withdrawals, total (% of internal resources)", "Annual freshwater withdrawals, total (billion cubic meters)", "Arable land (% of land area)", "Bird species, threatened", "CO2 emissions (kt)", "CO2 emissions (metric tons per capita)", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", "Fish species, threatened", "Forest area (% of land area)", "Forest area (sq. km)", "Land area (sq. km)", "Land area where elevation is below 5 meters (% of total land area)", "Mammal species, threatened", "Methane emissions (kt of CO2 equivalent)", "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)", "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)", "Plant species (higher), threatened", "Population living in areas where elevation is below 5 meters (% of total population)", "Population living in slums (% of urban population)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "Renewable internal freshwater resources per capita (cubic meters)", "Renewable internal freshwater resources, total (billion cubic meters)", "Surface area (sq. km)", "Terrestrial and marine protected areas (% of total territorial area)", "Total greenhouse gas emissions (kt of CO2 equivalent)", "Total natural resources rents (% of GDP)"]}, "2021": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Adjusted net savings, including particulate emission damage (% of GNI)": {"type": "string"}, "Agricultural land (% of land area)": {"type": "number"}, "Annual freshwater withdrawals, total (% of internal resources)": {"type": "string"}, "Annual freshwater withdrawals, total (billion cubic meters)": {"type": "string"}, "Arable land (% of land area)": {"type": "number"}, "Bird species, threatened": {"type": "string"}, "CO2 emissions (kt)": {"type": "string"}, "CO2 emissions (metric tons per capita)": {"type": "string"}, "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": {"type": "number"}, "Fish species, threatened": {"type": "string"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area (sq. km)": {"type": "integer"}, "Land area where elevation is below 5 meters (% of total land area)": {"type": "string"}, "Mammal species, threatened": {"type": "string"}, "Methane emissions (kt of CO2 equivalent)": {"type": "string"}, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": {"type": "string"}, "Plant species (higher), threatened": {"type": "string"}, "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)": {"type": "string"}, "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)": {"type": "string"}, "Population living in areas where elevation is below 5 meters (% of total population)": {"type": "string"}, "Population living in slums (% of urban population)": {"type": "string"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "string"}, "Renewable internal freshwater resources per capita (cubic meters)": {"type": "string"}, "Renewable internal freshwater resources, total (billion cubic meters)": {"type": "string"}, "Surface area (sq. km)": {"type": "integer"}, "Terrestrial and marine protected areas (% of total territorial area)": {"type": "number"}, "Total greenhouse gas emissions (kt of CO2 equivalent)": {"type": "string"}, "Total natural resources rents (% of GDP)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Adjusted net savings, including particulate emission damage (% of GNI)", "Agricultural land (% of land area)", "Annual freshwater withdrawals, total (% of internal resources)", "Annual freshwater withdrawals, total (billion cubic meters)", "Arable land (% of land area)", "Bird species, threatened", "CO2 emissions (kt)", "CO2 emissions (metric tons per capita)", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", "Fish species, threatened", "Forest area (% of land area)", "Forest area (sq. km)", "Land area (sq. km)", "Land area where elevation is below 5 meters (% of total land area)", "Mammal species, threatened", "Methane emissions (kt of CO2 equivalent)", "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", "PM2.5 air pollution, mean annual exposure (micrograms per cubic meter)", "PM2.5 air pollution, population exposed to levels exceeding WHO guideline value (% of total)", "Plant species (higher), threatened", "Population living in areas where elevation is below 5 meters (% of total population)", "Population living in slums (% of urban population)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "Renewable internal freshwater resources per capita (cubic meters)", "Renewable internal freshwater resources, total (billion cubic meters)", "Surface area (sq. km)", "Terrestrial and marine protected areas (% of total territorial area)", "Total greenhouse gas emissions (kt of CO2 equivalent)", "Total natural resources rents (% of GDP)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/38502f3e-3f40-4910-a7a3-9684cc8b659c/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Gender | Get country gender indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The country gender indicators. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/38502f3e-3f40-4910-a7a3-9684cc8b659c/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Gender | Get country gender indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The country gender indicators. | 200 | null | {"2020": {"Persistence to last grade of primary, female (% of cohort)": "null", "Persistence to last grade of primary, male (% of cohort)": "null", "Pregnant women receiving prenatal care (%)": "null", "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Primary completion rate, female (% of relevant age group)": "null", "Primary completion rate, male (% of relevant age group)": "null", "Progression to secondary school, female (%)": "null", "Progression to secondary school, male (%)": "null", "Proportion of seats held by women in national parliaments (%)": 9.8924731183, "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)": "null", "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)": "null", "Repeaters, primary, female (% of female enrollment)": "null", "Repeaters, primary, male (% of male enrollment)": "null", "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.52, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.024, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": 4.227, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": 5.043, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.729402, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.6992743, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": 91.59383, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": 88.67396, "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)": "null", "Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.887, "Births attended by skilled health staff (% of total)": 99.9, "Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children out of school, primary, female": "null", "Children out of school, primary, male": "null", "Contraceptive prevalence, any method (% of married women ages 15-49)": "null", "Contributing family workers, female (% of female employment) (modeled ILO estimate)": 3.835789, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": 0.7334473, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.808059, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.60372, "Employment in industry, female (% of female employment) (modeled ILO estimate)": 13.73844, "Employment in industry, male (% of male employment) (modeled ILO estimate)": 32.17656, "Employment in services, female (% of female employment) (modeled ILO estimate)": 83.45351, "Employment in services, male (% of male employment) (modeled ILO estimate)": 64.21972, "Fertility rate, total (births per woman)": 1.33, "Firms with female participation in ownership (% of firms)": "null", "Firms with female top manager (% of firms)": "null", "Gross intake ratio in first grade of primary education, female (% of relevant age group)": "null", "Gross intake ratio in first grade of primary education, male (% of relevant age group)": "null", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.213, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.417, "Labor force, female (% of total labor force)": 44.3999323143, "Life expectancy at birth, female (years)": 87.71, "Life expectancy at birth, male (years)": 81.56, "Literacy rate, adult female (% of females ages 15 and above)": "null", "Literacy rate, adult male (% of males ages 15 and above)": "null", "Literacy rate, youth female (% of females ages 15-24)": "null", "Literacy rate, youth male (% of males ages 15-24)": "null", "Maternal mortality ratio (modeled estimate, per 100,000 live births)": 4}, "2021": {"Persistence to last grade of primary, female (% of cohort)": "null", "Persistence to last grade of primary, male (% of cohort)": "null", "Pregnant women receiving prenatal care (%)": "null", "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Primary completion rate, female (% of relevant age group)": "null", "Primary completion rate, male (% of relevant age group)": "null", "Progression to secondary school, female (%)": "null", "Progression to secondary school, male (%)": "null", "Proportion of seats held by women in national parliaments (%)": 9.6774193548, "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)": "null", "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)": "null", "Repeaters, primary, female (% of female enrollment)": "null", "Repeaters, primary, male (% of male enrollment)": "null", "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.471, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.064, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": 4.059, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": 5.056, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": 7.588784, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": 8.5396343, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": 91.79816, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": 88.86074, "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)": "null", "Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.903, "Births attended by skilled health staff (% of total)": "null", "Children in employment, female (% of female children ages 7-14)": "null", "Children in employment, male (% of male children ages 7-14)": "null", "Children out of school, primary, female": "null", "Children out of school, primary, male": "null", "Contraceptive prevalence, any method (% of married women ages 15-49)": "null", "Contributing family workers, female (% of female employment) (modeled ILO estimate)": 3.756361, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": 0.7643973, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.665023, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.578196, "Employment in industry, female (% of female employment) (modeled ILO estimate)": 13.67309, "Employment in industry, male (% of male employment) (modeled ILO estimate)": 31.83589, "Employment in services, female (% of female employment) (modeled ILO estimate)": 83.66187, "Employment in services, male (% of male employment) (modeled ILO estimate)": 64.58592, "Fertility rate, total (births per woman)": 1.3, "Firms with female participation in ownership (% of firms)": "null", "Firms with female top manager (% of firms)": "null", "Gross intake ratio in first grade of primary education, female (% of relevant age group)": "null", "Gross intake ratio in first grade of primary education, male (% of relevant age group)": "null", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": 53.507, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": 71.31, "Labor force, female (% of total labor force)": 44.57545149, "Life expectancy at birth, female (years)": 87.57, "Life expectancy at birth, male (years)": 81.47, "Literacy rate, adult female (% of females ages 15 and above)": "null", "Literacy rate, adult male (% of males ages 15 and above)": "null", "Literacy rate, youth female (% of females ages 15-24)": "null", "Literacy rate, youth male (% of males ages 15-24)": "null", "Maternal mortality ratio (modeled estimate, per 100,000 live births)": "null"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Persistence to last grade of primary, female (% of cohort)": {"type": "string"}, "Persistence to last grade of primary, male (% of cohort)": {"type": "string"}, "Pregnant women receiving prenatal care (%)": {"type": "string"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Primary completion rate, female (% of relevant age group)": {"type": "string"}, "Primary completion rate, male (% of relevant age group)": {"type": "string"}, "Progression to secondary school, female (%)": {"type": "string"}, "Progression to secondary school, male (%)": {"type": "string"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)": {"type": "string"}, "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)": {"type": "string"}, "Repeaters, primary, female (% of female enrollment)": {"type": "string"}, "Repeaters, primary, male (% of male enrollment)": {"type": "string"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)": {"type": "string"}, "Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Births attended by skilled health staff (% of total)": {"type": "number"}, "Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children out of school, primary, female": {"type": "string"}, "Children out of school, primary, male": {"type": "string"}, "Contraceptive prevalence, any method (% of married women ages 15-49)": {"type": "string"}, "Contributing family workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Fertility rate, total (births per woman)": {"type": "number"}, "Firms with female participation in ownership (% of firms)": {"type": "string"}, "Firms with female top manager (% of firms)": {"type": "string"}, "Gross intake ratio in first grade of primary education, female (% of relevant age group)": {"type": "string"}, "Gross intake ratio in first grade of primary education, male (% of relevant age group)": {"type": "string"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Literacy rate, adult female (% of females ages 15 and above)": {"type": "string"}, "Literacy rate, adult male (% of males ages 15 and above)": {"type": "string"}, "Literacy rate, youth female (% of females ages 15-24)": {"type": "string"}, "Literacy rate, youth male (% of males ages 15-24)": {"type": "string"}, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": {"type": "integer"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Births attended by skilled health staff (% of total)", "Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children out of school, primary, female", "Children out of school, primary, male", "Contraceptive prevalence, any method (% of married women ages 15-49)", "Contributing family workers, female (% of female employment) (modeled ILO estimate)", "Contributing family workers, male (% of male employment) (modeled ILO estimate)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Employment in industry, female (% of female employment) (modeled ILO estimate)", "Employment in industry, male (% of male employment) (modeled ILO estimate)", "Employment in services, female (% of female employment) (modeled ILO estimate)", "Employment in services, male (% of male employment) (modeled ILO estimate)", "Fertility rate, total (births per woman)", "Firms with female participation in ownership (% of firms)", "Firms with female top manager (% of firms)", "Gross intake ratio in first grade of primary education, female (% of relevant age group)", "Gross intake ratio in first grade of primary education, male (% of relevant age group)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Labor force, female (% of total labor force)", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Literacy rate, adult female (% of females ages 15 and above)", "Literacy rate, adult male (% of males ages 15 and above)", "Literacy rate, youth female (% of females ages 15-24)", "Literacy rate, youth male (% of males ages 15-24)", "Maternal mortality ratio (modeled estimate, per 100,000 live births)", "Persistence to last grade of primary, female (% of cohort)", "Persistence to last grade of primary, male (% of cohort)", "Pregnant women receiving prenatal care (%)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Primary completion rate, female (% of relevant age group)", "Primary completion rate, male (% of relevant age group)", "Progression to secondary school, female (%)", "Progression to secondary school, male (%)", "Proportion of seats held by women in national parliaments (%)", "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)", "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)", "Repeaters, primary, female (% of female enrollment)", "Repeaters, primary, male (% of male enrollment)", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)", "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)", "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)", "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)", "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)"]}, "2021": {"type": "object", "properties": {"Persistence to last grade of primary, female (% of cohort)": {"type": "string"}, "Persistence to last grade of primary, male (% of cohort)": {"type": "string"}, "Pregnant women receiving prenatal care (%)": {"type": "string"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Primary completion rate, female (% of relevant age group)": {"type": "string"}, "Primary completion rate, male (% of relevant age group)": {"type": "string"}, "Progression to secondary school, female (%)": {"type": "string"}, "Progression to secondary school, male (%)": {"type": "string"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)": {"type": "string"}, "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)": {"type": "string"}, "Repeaters, primary, female (% of female enrollment)": {"type": "string"}, "Repeaters, primary, male (% of male enrollment)": {"type": "string"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Vulnerable employment, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)": {"type": "string"}, "Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Births attended by skilled health staff (% of total)": {"type": "string"}, "Children in employment, female (% of female children ages 7-14)": {"type": "string"}, "Children in employment, male (% of male children ages 7-14)": {"type": "string"}, "Children out of school, primary, female": {"type": "string"}, "Children out of school, primary, male": {"type": "string"}, "Contraceptive prevalence, any method (% of married women ages 15-49)": {"type": "string"}, "Contributing family workers, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Contributing family workers, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in industry, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in services, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Fertility rate, total (births per woman)": {"type": "number"}, "Firms with female participation in ownership (% of firms)": {"type": "string"}, "Firms with female top manager (% of firms)": {"type": "string"}, "Gross intake ratio in first grade of primary education, female (% of relevant age group)": {"type": "string"}, "Gross intake ratio in first grade of primary education, male (% of relevant age group)": {"type": "string"}, "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)": {"type": "number"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Literacy rate, adult female (% of females ages 15 and above)": {"type": "string"}, "Literacy rate, adult male (% of males ages 15 and above)": {"type": "string"}, "Literacy rate, youth female (% of females ages 15-24)": {"type": "string"}, "Literacy rate, youth male (% of males ages 15-24)": {"type": "string"}, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": {"type": "string"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Births attended by skilled health staff (% of total)", "Children in employment, female (% of female children ages 7-14)", "Children in employment, male (% of male children ages 7-14)", "Children out of school, primary, female", "Children out of school, primary, male", "Contraceptive prevalence, any method (% of married women ages 15-49)", "Contributing family workers, female (% of female employment) (modeled ILO estimate)", "Contributing family workers, male (% of male employment) (modeled ILO estimate)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Employment in industry, female (% of female employment) (modeled ILO estimate)", "Employment in industry, male (% of male employment) (modeled ILO estimate)", "Employment in services, female (% of female employment) (modeled ILO estimate)", "Employment in services, male (% of male employment) (modeled ILO estimate)", "Fertility rate, total (births per woman)", "Firms with female participation in ownership (% of firms)", "Firms with female top manager (% of firms)", "Gross intake ratio in first grade of primary education, female (% of relevant age group)", "Gross intake ratio in first grade of primary education, male (% of relevant age group)", "Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)", "Labor force participation rate, male (% of male population ages 15+) (modeled ILO estimate)", "Labor force, female (% of total labor force)", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Literacy rate, adult female (% of females ages 15 and above)", "Literacy rate, adult male (% of males ages 15 and above)", "Literacy rate, youth female (% of females ages 15-24)", "Literacy rate, youth male (% of males ages 15-24)", "Maternal mortality ratio (modeled estimate, per 100,000 live births)", "Persistence to last grade of primary, female (% of cohort)", "Persistence to last grade of primary, male (% of cohort)", "Pregnant women receiving prenatal care (%)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Primary completion rate, female (% of relevant age group)", "Primary completion rate, male (% of relevant age group)", "Progression to secondary school, female (%)", "Progression to secondary school, male (%)", "Proportion of seats held by women in national parliaments (%)", "Proportion of time spent on unpaid domestic and care work, female (% of 24 hour day)", "Proportion of time spent on unpaid domestic and care work, male (% of 24 hour day)", "Repeaters, primary, female (% of female enrollment)", "Repeaters, primary, male (% of male enrollment)", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)", "Unemployment, youth male (% of male labor force ages 15-24) (modeled ILO estimate)", "Vulnerable employment, female (% of female employment) (modeled ILO estimate)", "Vulnerable employment, male (% of male employment) (modeled ILO estimate)", "Wage and salaried workers, female (% of female employment) (modeled ILO estimate)", "Wage and salaried workers, male (% of male employment) (modeled ILO estimate)", "Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/9f85855b-1929-4254-b4d6-3d47bd2d2b83/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Health | Get country health indicators.
Parameters:
country (str): The name of the country.
Returns:
The country health indicators. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/9f85855b-1929-4254-b4d6-3d47bd2d2b83/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Health | Get country health indicators.
Parameters:
country (str): The name of the country.
Returns:
The country health indicators. | 200 | null | {"2020": {"Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": "null", "Unmet need for contraception (% of married women ages 15-49)": "null", "Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.887, "Age dependency ratio (% of working-age population)": 70.9369147867, "Birth rate, crude (per 1,000 people)": 6.8, "Births attended by skilled health staff (% of total)": 99.9, "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)": "null", "Cause of death, by injury (% of total)": "null", "Cause of death, by non-communicable diseases (% of total)": "null", "Completeness of birth registration (%)": "null", "Completeness of death registration with cause-of-death information (%)": "null", "Contraceptive prevalence, any method (% of married women ages 15-49)": "null", "Death rate, crude (per 1,000 people)": 11.1, "Diabetes prevalence (% of population ages 20 to 79)": "null", "Fertility rate, total (births per woman)": 1.33, "Hospital beds (per 1,000 people)": "null", "Immunization, DPT (% of children ages 12-23 months)": 96, "Immunization, measles (% of children ages 12-23 months)": 98, "Incidence of tuberculosis (per 100,000 people)": 12, "International migrant stock, total": "null", "Life expectancy at birth, female (years)": 87.71, "Life expectancy at birth, male (years)": 81.56, "Life expectancy at birth, total (years)": 84.56, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": 4, "Mortality caused by road traffic injury (per 100,000 population)": "null", "Mortality rate, infant (per 1,000 live births)": 1.8, "Mortality rate, neonatal (per 1,000 live births)": 0.8, "Mortality rate, under-5 (per 1,000 live births)": 2.4, "Net migration": 87584, "Number of surgical procedures (per 100,000 population)": "null", "Population ages 0-14 (% of total population)": 11.9157072443, "Population ages 15-64 (% of total population)": 58.5011143041, "Population ages 65 and above (% of total population)": 29.5831784516, "Population growth (annual %)": -0.2941946178, "Population, female (% of total population)": 51.3898980573, "Population, total": 126261000, "Pregnant women receiving prenatal care (%)": "null", "Prevalence of anemia among children (% of children ages 6-59 months)": "null", "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Prevalence of HIV, total (% of population ages 15-49)": "null", "Prevalence of overweight, weight for height (% of children under 5)": "null", "Prevalence of severe wasting, weight for height (% of children under 5)": "null", "Prevalence of stunting, height for age (% of children under 5)": "null", "Prevalence of undernourishment (% of population)": 3.2, "Prevalence of underweight, weight for age (% of children under 5)": "null", "Prevalence of wasting, weight for height (% of children under 5)": "null", "Refugee population by country or territory of asylum": 1132, "Refugee population by country or territory of origin": 40, "Risk of catastrophic expenditure for surgical care (% of people at risk)": 0.4, "Risk of impoverishing expenditure for surgical care (% of people at risk)": 0, "Specialist surgical workforce (per 100,000 population)": "null"}, "2021": {"Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": "null", "Unmet need for contraception (% of married women ages 15-49)": "null", "Adolescent fertility rate (births per 1,000 women ages 15-19)": 2.903, "Age dependency ratio (% of working-age population)": 71.1187680313, "Birth rate, crude (per 1,000 people)": 6.6, "Births attended by skilled health staff (% of total)": "null", "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)": "null", "Cause of death, by injury (% of total)": "null", "Cause of death, by non-communicable diseases (% of total)": "null", "Completeness of birth registration (%)": "null", "Completeness of death registration with cause-of-death information (%)": "null", "Contraceptive prevalence, any method (% of married women ages 15-49)": "null", "Death rate, crude (per 1,000 people)": 11.7, "Diabetes prevalence (% of population ages 20 to 79)": 6.6, "Fertility rate, total (births per woman)": 1.3, "Hospital beds (per 1,000 people)": "null", "Immunization, DPT (% of children ages 12-23 months)": 96, "Immunization, measles (% of children ages 12-23 months)": 98, "Incidence of tuberculosis (per 100,000 people)": 11, "International migrant stock, total": "null", "Life expectancy at birth, female (years)": 87.57, "Life expectancy at birth, male (years)": 81.47, "Life expectancy at birth, total (years)": 84.4456097561, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": "null", "Mortality caused by road traffic injury (per 100,000 population)": "null", "Mortality rate, infant (per 1,000 live births)": 1.7, "Mortality rate, neonatal (per 1,000 live births)": 0.8, "Mortality rate, under-5 (per 1,000 live births)": 2.3, "Net migration": 87584, "Number of surgical procedures (per 100,000 population)": "null", "Population ages 0-14 (% of total population)": 11.7739664231, "Population ages 15-64 (% of total population)": 58.4389436663, "Population ages 65 and above (% of total population)": 29.7870899107, "Population growth (annual %)": -0.4599524158, "Population, female (% of total population)": 51.3952858513, "Population, total": 125681593, "Pregnant women receiving prenatal care (%)": "null", "Prevalence of anemia among children (% of children ages 6-59 months)": "null", "Prevalence of HIV, female (% ages 15-24)": "null", "Prevalence of HIV, male (% ages 15-24)": "null", "Prevalence of HIV, total (% of population ages 15-49)": "null", "Prevalence of overweight, weight for height (% of children under 5)": "null", "Prevalence of severe wasting, weight for height (% of children under 5)": "null", "Prevalence of stunting, height for age (% of children under 5)": "null", "Prevalence of undernourishment (% of population)": "null", "Prevalence of underweight, weight for age (% of children under 5)": "null", "Prevalence of wasting, weight for height (% of children under 5)": "null", "Refugee population by country or territory of asylum": 1508, "Refugee population by country or territory of origin": 39, "Risk of catastrophic expenditure for surgical care (% of people at risk)": "null", "Risk of impoverishing expenditure for surgical care (% of people at risk)": "null", "Specialist surgical workforce (per 100,000 population)": "null"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": {"type": "string"}, "Unmet need for contraception (% of married women ages 15-49)": {"type": "string"}, "Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Age dependency ratio (% of working-age population)": {"type": "number"}, "Birth rate, crude (per 1,000 people)": {"type": "number"}, "Births attended by skilled health staff (% of total)": {"type": "number"}, "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)": {"type": "string"}, "Cause of death, by injury (% of total)": {"type": "string"}, "Cause of death, by non-communicable diseases (% of total)": {"type": "string"}, "Completeness of birth registration (%)": {"type": "string"}, "Completeness of death registration with cause-of-death information (%)": {"type": "string"}, "Contraceptive prevalence, any method (% of married women ages 15-49)": {"type": "string"}, "Death rate, crude (per 1,000 people)": {"type": "number"}, "Diabetes prevalence (% of population ages 20 to 79)": {"type": "string"}, "Fertility rate, total (births per woman)": {"type": "number"}, "Hospital beds (per 1,000 people)": {"type": "string"}, "Immunization, DPT (% of children ages 12-23 months)": {"type": "integer"}, "Immunization, measles (% of children ages 12-23 months)": {"type": "integer"}, "Incidence of tuberculosis (per 100,000 people)": {"type": "integer"}, "International migrant stock, total": {"type": "string"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Life expectancy at birth, total (years)": {"type": "number"}, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": {"type": "integer"}, "Mortality caused by road traffic injury (per 100,000 population)": {"type": "string"}, "Mortality rate, infant (per 1,000 live births)": {"type": "number"}, "Mortality rate, neonatal (per 1,000 live births)": {"type": "number"}, "Mortality rate, under-5 (per 1,000 live births)": {"type": "number"}, "Net migration": {"type": "integer"}, "Number of surgical procedures (per 100,000 population)": {"type": "string"}, "Population ages 0-14 (% of total population)": {"type": "number"}, "Population ages 15-64 (% of total population)": {"type": "number"}, "Population ages 65 and above (% of total population)": {"type": "number"}, "Population growth (annual %)": {"type": "number"}, "Population, female (% of total population)": {"type": "number"}, "Population, total": {"type": "integer"}, "Pregnant women receiving prenatal care (%)": {"type": "string"}, "Prevalence of anemia among children (% of children ages 6-59 months)": {"type": "string"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, total (% of population ages 15-49)": {"type": "string"}, "Prevalence of overweight, weight for height (% of children under 5)": {"type": "string"}, "Prevalence of severe wasting, weight for height (% of children under 5)": {"type": "string"}, "Prevalence of stunting, height for age (% of children under 5)": {"type": "string"}, "Prevalence of undernourishment (% of population)": {"type": "number"}, "Prevalence of underweight, weight for age (% of children under 5)": {"type": "string"}, "Prevalence of wasting, weight for height (% of children under 5)": {"type": "string"}, "Refugee population by country or territory of asylum": {"type": "integer"}, "Refugee population by country or territory of origin": {"type": "integer"}, "Risk of catastrophic expenditure for surgical care (% of people at risk)": {"type": "number"}, "Risk of impoverishing expenditure for surgical care (% of people at risk)": {"type": "integer"}, "Specialist surgical workforce (per 100,000 population)": {"type": "string"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Age dependency ratio (% of working-age population)", "Birth rate, crude (per 1,000 people)", "Births attended by skilled health staff (% of total)", "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)", "Cause of death, by injury (% of total)", "Cause of death, by non-communicable diseases (% of total)", "Completeness of birth registration (%)", "Completeness of death registration with cause-of-death information (%)", "Contraceptive prevalence, any method (% of married women ages 15-49)", "Death rate, crude (per 1,000 people)", "Diabetes prevalence (% of population ages 20 to 79)", "Fertility rate, total (births per woman)", "Hospital beds (per 1,000 people)", "Immunization, DPT (% of children ages 12-23 months)", "Immunization, measles (% of children ages 12-23 months)", "Incidence of tuberculosis (per 100,000 people)", "International migrant stock, total", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Life expectancy at birth, total (years)", "Maternal mortality ratio (modeled estimate, per 100,000 live births)", "Mortality caused by road traffic injury (per 100,000 population)", "Mortality rate, infant (per 1,000 live births)", "Mortality rate, neonatal (per 1,000 live births)", "Mortality rate, under-5 (per 1,000 live births)", "Net migration", "Number of surgical procedures (per 100,000 population)", "Population ages 0-14 (% of total population)", "Population ages 15-64 (% of total population)", "Population ages 65 and above (% of total population)", "Population growth (annual %)", "Population, female (% of total population)", "Population, total", "Pregnant women receiving prenatal care (%)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Prevalence of HIV, total (% of population ages 15-49)", "Prevalence of anemia among children (% of children ages 6-59 months)", "Prevalence of overweight, weight for height (% of children under 5)", "Prevalence of severe wasting, weight for height (% of children under 5)", "Prevalence of stunting, height for age (% of children under 5)", "Prevalence of undernourishment (% of population)", "Prevalence of underweight, weight for age (% of children under 5)", "Prevalence of wasting, weight for height (% of children under 5)", "Refugee population by country or territory of asylum", "Refugee population by country or territory of origin", "Risk of catastrophic expenditure for surgical care (% of people at risk)", "Risk of impoverishing expenditure for surgical care (% of people at risk)", "Specialist surgical workforce (per 100,000 population)", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)", "Unmet need for contraception (% of married women ages 15-49)"]}, "2021": {"type": "object", "properties": {"Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)": {"type": "string"}, "Unmet need for contraception (% of married women ages 15-49)": {"type": "string"}, "Adolescent fertility rate (births per 1,000 women ages 15-19)": {"type": "number"}, "Age dependency ratio (% of working-age population)": {"type": "number"}, "Birth rate, crude (per 1,000 people)": {"type": "number"}, "Births attended by skilled health staff (% of total)": {"type": "string"}, "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)": {"type": "string"}, "Cause of death, by injury (% of total)": {"type": "string"}, "Cause of death, by non-communicable diseases (% of total)": {"type": "string"}, "Completeness of birth registration (%)": {"type": "string"}, "Completeness of death registration with cause-of-death information (%)": {"type": "string"}, "Contraceptive prevalence, any method (% of married women ages 15-49)": {"type": "string"}, "Death rate, crude (per 1,000 people)": {"type": "number"}, "Diabetes prevalence (% of population ages 20 to 79)": {"type": "number"}, "Fertility rate, total (births per woman)": {"type": "number"}, "Hospital beds (per 1,000 people)": {"type": "string"}, "Immunization, DPT (% of children ages 12-23 months)": {"type": "integer"}, "Immunization, measles (% of children ages 12-23 months)": {"type": "integer"}, "Incidence of tuberculosis (per 100,000 people)": {"type": "integer"}, "International migrant stock, total": {"type": "string"}, "Life expectancy at birth, female (years)": {"type": "number"}, "Life expectancy at birth, male (years)": {"type": "number"}, "Life expectancy at birth, total (years)": {"type": "number"}, "Maternal mortality ratio (modeled estimate, per 100,000 live births)": {"type": "string"}, "Mortality caused by road traffic injury (per 100,000 population)": {"type": "string"}, "Mortality rate, infant (per 1,000 live births)": {"type": "number"}, "Mortality rate, neonatal (per 1,000 live births)": {"type": "number"}, "Mortality rate, under-5 (per 1,000 live births)": {"type": "number"}, "Net migration": {"type": "integer"}, "Number of surgical procedures (per 100,000 population)": {"type": "string"}, "Population ages 0-14 (% of total population)": {"type": "number"}, "Population ages 15-64 (% of total population)": {"type": "number"}, "Population ages 65 and above (% of total population)": {"type": "number"}, "Population growth (annual %)": {"type": "number"}, "Population, female (% of total population)": {"type": "number"}, "Population, total": {"type": "integer"}, "Pregnant women receiving prenatal care (%)": {"type": "string"}, "Prevalence of anemia among children (% of children ages 6-59 months)": {"type": "string"}, "Prevalence of HIV, female (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, male (% ages 15-24)": {"type": "string"}, "Prevalence of HIV, total (% of population ages 15-49)": {"type": "string"}, "Prevalence of overweight, weight for height (% of children under 5)": {"type": "string"}, "Prevalence of severe wasting, weight for height (% of children under 5)": {"type": "string"}, "Prevalence of stunting, height for age (% of children under 5)": {"type": "string"}, "Prevalence of undernourishment (% of population)": {"type": "string"}, "Prevalence of underweight, weight for age (% of children under 5)": {"type": "string"}, "Prevalence of wasting, weight for height (% of children under 5)": {"type": "string"}, "Refugee population by country or territory of asylum": {"type": "integer"}, "Refugee population by country or territory of origin": {"type": "integer"}, "Risk of catastrophic expenditure for surgical care (% of people at risk)": {"type": "string"}, "Risk of impoverishing expenditure for surgical care (% of people at risk)": {"type": "string"}, "Specialist surgical workforce (per 100,000 population)": {"type": "string"}}, "required": ["Adolescent fertility rate (births per 1,000 women ages 15-19)", "Age dependency ratio (% of working-age population)", "Birth rate, crude (per 1,000 people)", "Births attended by skilled health staff (% of total)", "Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total)", "Cause of death, by injury (% of total)", "Cause of death, by non-communicable diseases (% of total)", "Completeness of birth registration (%)", "Completeness of death registration with cause-of-death information (%)", "Contraceptive prevalence, any method (% of married women ages 15-49)", "Death rate, crude (per 1,000 people)", "Diabetes prevalence (% of population ages 20 to 79)", "Fertility rate, total (births per woman)", "Hospital beds (per 1,000 people)", "Immunization, DPT (% of children ages 12-23 months)", "Immunization, measles (% of children ages 12-23 months)", "Incidence of tuberculosis (per 100,000 people)", "International migrant stock, total", "Life expectancy at birth, female (years)", "Life expectancy at birth, male (years)", "Life expectancy at birth, total (years)", "Maternal mortality ratio (modeled estimate, per 100,000 live births)", "Mortality caused by road traffic injury (per 100,000 population)", "Mortality rate, infant (per 1,000 live births)", "Mortality rate, neonatal (per 1,000 live births)", "Mortality rate, under-5 (per 1,000 live births)", "Net migration", "Number of surgical procedures (per 100,000 population)", "Population ages 0-14 (% of total population)", "Population ages 15-64 (% of total population)", "Population ages 65 and above (% of total population)", "Population growth (annual %)", "Population, female (% of total population)", "Population, total", "Pregnant women receiving prenatal care (%)", "Prevalence of HIV, female (% ages 15-24)", "Prevalence of HIV, male (% ages 15-24)", "Prevalence of HIV, total (% of population ages 15-49)", "Prevalence of anemia among children (% of children ages 6-59 months)", "Prevalence of overweight, weight for height (% of children under 5)", "Prevalence of severe wasting, weight for height (% of children under 5)", "Prevalence of stunting, height for age (% of children under 5)", "Prevalence of undernourishment (% of population)", "Prevalence of underweight, weight for age (% of children under 5)", "Prevalence of wasting, weight for height (% of children under 5)", "Refugee population by country or territory of asylum", "Refugee population by country or territory of origin", "Risk of catastrophic expenditure for surgical care (% of people at risk)", "Risk of impoverishing expenditure for surgical care (% of people at risk)", "Specialist surgical workforce (per 100,000 population)", "Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)", "Unmet need for contraception (% of married women ages 15-49)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/7a3158e5-e72f-4dae-81e7-992bb18058d7/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Public Sector | Retrieves public sector indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The public sector indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/7a3158e5-e72f-4dae-81e7-992bb18058d7/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Public Sector | Retrieves public sector indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The public sector indicators for the specified country. | 200 | null | {"2020": {"Central government debt, total (% of GDP)": 216.0623496519, "CPIA economic management cluster average (1=low to 6=high)": "null", "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)": "null", "CPIA public sector management and institutions cluster average (1=low to 6=high)": "null", "CPIA structural policies cluster average (1=low to 6=high)": "null", "Expense (% of GDP)": 23.6249597464, "IDA resource allocation index (1=low to 6=high)": "null", "Intentional homicides (per 100,000 people)": 0.2539028369, "Military expenditure (% of GDP)": 1.0178295563, "Military expenditure (% of general government expenditure)": 2.2901210685, "Net acquisition of financial assets (% of GDP)": "null", "Net incurrence of liabilities, total (% of GDP)": "null", "Net investment in nonfinancial assets (% of GDP)": "null", "Net lending (+) / net borrowing (-) (% of GDP)": -10.2656848007, "Proportion of seats held by women in national parliaments (%)": 9.8924731183, "Revenue, excluding grants (% of GDP)": "null", "Statistical Capacity Score (Overall Average) (scale 0 - 100)": "null", "Strength of legal rights index (0=weak to 12=strong)": "null", "Tax revenue (% of GDP)": "null", "Total tax and contribution rate (% of profit)": "null"}, "2021": {"Central government debt, total (% of GDP)": 217.6142239069, "CPIA economic management cluster average (1=low to 6=high)": "null", "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)": "null", "CPIA public sector management and institutions cluster average (1=low to 6=high)": "null", "CPIA structural policies cluster average (1=low to 6=high)": "null", "Expense (% of GDP)": 21.7418275497, "IDA resource allocation index (1=low to 6=high)": "null", "Intentional homicides (per 100,000 people)": 0.2287089419, "Military expenditure (% of GDP)": 1.0182973767, "Military expenditure (% of general government expenditure)": 2.3916214547, "Net acquisition of financial assets (% of GDP)": "null", "Net incurrence of liabilities, total (% of GDP)": "null", "Net investment in nonfinancial assets (% of GDP)": "null", "Net lending (+) / net borrowing (-) (% of GDP)": -7.2717701595, "Proportion of seats held by women in national parliaments (%)": 9.6774193548, "Revenue, excluding grants (% of GDP)": "null", "Statistical Capacity Score (Overall Average) (scale 0 - 100)": "null", "Strength of legal rights index (0=weak to 12=strong)": "null", "Tax revenue (% of GDP)": "null", "Total tax and contribution rate (% of profit)": "null"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Central government debt, total (% of GDP)": {"type": "number"}, "CPIA economic management cluster average (1=low to 6=high)": {"type": "string"}, "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)": {"type": "string"}, "CPIA public sector management and institutions cluster average (1=low to 6=high)": {"type": "string"}, "CPIA structural policies cluster average (1=low to 6=high)": {"type": "string"}, "Expense (% of GDP)": {"type": "number"}, "IDA resource allocation index (1=low to 6=high)": {"type": "string"}, "Intentional homicides (per 100,000 people)": {"type": "number"}, "Military expenditure (% of GDP)": {"type": "number"}, "Military expenditure (% of general government expenditure)": {"type": "number"}, "Net acquisition of financial assets (% of GDP)": {"type": "string"}, "Net incurrence of liabilities, total (% of GDP)": {"type": "string"}, "Net investment in nonfinancial assets (% of GDP)": {"type": "string"}, "Net lending (+) / net borrowing (-) (% of GDP)": {"type": "number"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Revenue, excluding grants (% of GDP)": {"type": "string"}, "Statistical Capacity Score (Overall Average) (scale 0 - 100)": {"type": "string"}, "Strength of legal rights index (0=weak to 12=strong)": {"type": "string"}, "Tax revenue (% of GDP)": {"type": "string"}, "Total tax and contribution rate (% of profit)": {"type": "string"}}, "required": ["CPIA economic management cluster average (1=low to 6=high)", "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)", "CPIA public sector management and institutions cluster average (1=low to 6=high)", "CPIA structural policies cluster average (1=low to 6=high)", "Central government debt, total (% of GDP)", "Expense (% of GDP)", "IDA resource allocation index (1=low to 6=high)", "Intentional homicides (per 100,000 people)", "Military expenditure (% of GDP)", "Military expenditure (% of general government expenditure)", "Net acquisition of financial assets (% of GDP)", "Net incurrence of liabilities, total (% of GDP)", "Net investment in nonfinancial assets (% of GDP)", "Net lending (+) / net borrowing (-) (% of GDP)", "Proportion of seats held by women in national parliaments (%)", "Revenue, excluding grants (% of GDP)", "Statistical Capacity Score (Overall Average) (scale 0 - 100)", "Strength of legal rights index (0=weak to 12=strong)", "Tax revenue (% of GDP)", "Total tax and contribution rate (% of profit)"]}, "2021": {"type": "object", "properties": {"Central government debt, total (% of GDP)": {"type": "number"}, "CPIA economic management cluster average (1=low to 6=high)": {"type": "string"}, "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)": {"type": "string"}, "CPIA public sector management and institutions cluster average (1=low to 6=high)": {"type": "string"}, "CPIA structural policies cluster average (1=low to 6=high)": {"type": "string"}, "Expense (% of GDP)": {"type": "number"}, "IDA resource allocation index (1=low to 6=high)": {"type": "string"}, "Intentional homicides (per 100,000 people)": {"type": "number"}, "Military expenditure (% of GDP)": {"type": "number"}, "Military expenditure (% of general government expenditure)": {"type": "number"}, "Net acquisition of financial assets (% of GDP)": {"type": "string"}, "Net incurrence of liabilities, total (% of GDP)": {"type": "string"}, "Net investment in nonfinancial assets (% of GDP)": {"type": "string"}, "Net lending (+) / net borrowing (-) (% of GDP)": {"type": "number"}, "Proportion of seats held by women in national parliaments (%)": {"type": "number"}, "Revenue, excluding grants (% of GDP)": {"type": "string"}, "Statistical Capacity Score (Overall Average) (scale 0 - 100)": {"type": "string"}, "Strength of legal rights index (0=weak to 12=strong)": {"type": "string"}, "Tax revenue (% of GDP)": {"type": "string"}, "Total tax and contribution rate (% of profit)": {"type": "string"}}, "required": ["CPIA economic management cluster average (1=low to 6=high)", "CPIA policies for social inclusion/equity cluster average (1=low to 6=high)", "CPIA public sector management and institutions cluster average (1=low to 6=high)", "CPIA structural policies cluster average (1=low to 6=high)", "Central government debt, total (% of GDP)", "Expense (% of GDP)", "IDA resource allocation index (1=low to 6=high)", "Intentional homicides (per 100,000 people)", "Military expenditure (% of GDP)", "Military expenditure (% of general government expenditure)", "Net acquisition of financial assets (% of GDP)", "Net incurrence of liabilities, total (% of GDP)", "Net investment in nonfinancial assets (% of GDP)", "Net lending (+) / net borrowing (-) (% of GDP)", "Proportion of seats held by women in national parliaments (%)", "Revenue, excluding grants (% of GDP)", "Statistical Capacity Score (Overall Average) (scale 0 - 100)", "Strength of legal rights index (0=weak to 12=strong)", "Tax revenue (% of GDP)", "Total tax and contribution rate (% of profit)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/3b76de2b-97c3-4479-912d-215e7b52d511/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Private Sector | Retrieves private sector indicators for a specific country.
Args:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The private sector indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/3b76de2b-97c3-4479-912d-215e7b52d511/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Private Sector | Retrieves private sector indicators for a specific country.
Args:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The private sector indicators for the specified country. | 200 | null | {"2020": {"Business extent of disclosure index (0=less disclosure to 10=more disclosure)": "null", "Depth of credit information index (0=low to 8=high)": "null", "Domestic credit to private sector (% of GDP)": 193.1832684577, "Ease of doing business rank (1=most business-friendly regulations)": "null", "Firms experiencing electrical outages (% of firms)": "null", "Firms experiencing losses due to theft and vandalism (% of firms)": "null", "Firms that spend on R&D (% of firms)": "null", "Firms using banks to finance working capital (% of firms)": "null", "Firms visited or required meetings with tax officials (% of firms)": "null", "Firms with female participation in ownership (% of firms)": "null", "Firms with female top manager (% of firms)": "null", "Fuel exports (% of merchandise exports)": 1.1892879795, "High-technology exports (% of manufactured exports)": 18.6010339335, "High-technology exports (current US$)": 102751095238, "International tourism, expenditures (% of total imports)": 0.840640298, "International tourism, receipts (% of total exports)": 1.4346126167, "Investment in energy with private participation (current US$)": "null", "Investment in transport with private participation (current US$)": "null", "Investment in water and sanitation with private participation (current US$)": "null", "Lead time to export, median case (days)": "null", "Lead time to import, median case (days)": "null", "Logistics performance index: Overall (1=low to 5=high)": "null", "Medium and high-tech exports (% manufactured exports)": 81.5308454269, "Merchandise exports (current US$)": 641319000000, "Merchandise imports (current US$)": 635460000000, "Merchandise trade (% of GDP)": 25.2888138003, "Net barter terms of trade index (2015 = 100)": 106.4923354471, "New businesses registered (number)": 33411, "Ores and metals exports (% of merchandise exports)": 3.1273950813, "Start-up procedures to register a business (number)": "null", "Start-up procedures to register a business, female (number)": "null", "Start-up procedures to register a business, male (number)": "null", "Strength of legal rights index (0=weak to 12=strong)": "null", "Time required to get electricity (days)": "null", "Time required to start a business (days)": "null", "Time required to start a business, female (days)": "null", "Time required to start a business, male (days)": "null", "Time spent dealing with the requirements of government regulations (% of senior management time)": "null", "Total tax and contribution rate (% of profit)": "null"}, "2021": {"Business extent of disclosure index (0=less disclosure to 10=more disclosure)": "null", "Depth of credit information index (0=low to 8=high)": "null", "Domestic credit to private sector (% of GDP)": 194.0850155803, "Ease of doing business rank (1=most business-friendly regulations)": "null", "Firms experiencing electrical outages (% of firms)": "null", "Firms experiencing losses due to theft and vandalism (% of firms)": "null", "Firms that spend on R&D (% of firms)": "null", "Firms using banks to finance working capital (% of firms)": "null", "Firms visited or required meetings with tax officials (% of firms)": "null", "Firms with female participation in ownership (% of firms)": "null", "Firms with female top manager (% of firms)": "null", "Fuel exports (% of merchandise exports)": 1.3510588866, "High-technology exports (% of manufactured exports)": 17.9759739407, "High-technology exports (current US$)": 116513861428, "International tourism, expenditures (% of total imports)": "null", "International tourism, receipts (% of total exports)": "null", "Investment in energy with private participation (current US$)": "null", "Investment in transport with private participation (current US$)": "null", "Investment in water and sanitation with private participation (current US$)": "null", "Lead time to export, median case (days)": "null", "Lead time to import, median case (days)": "null", "Logistics performance index: Overall (1=low to 5=high)": "null", "Medium and high-tech exports (% manufactured exports)": "null", "Merchandise exports (current US$)": 756032000000, "Merchandise imports (current US$)": 768976000000, "Merchandise trade (% of GDP)": 30.4664230869, "Net barter terms of trade index (2015 = 100)": 94.9227977621, "New businesses registered (number)": "null", "Ores and metals exports (% of merchandise exports)": 3.5042884597, "Start-up procedures to register a business (number)": "null", "Start-up procedures to register a business, female (number)": "null", "Start-up procedures to register a business, male (number)": "null", "Strength of legal rights index (0=weak to 12=strong)": "null", "Time required to get electricity (days)": "null", "Time required to start a business (days)": "null", "Time required to start a business, female (days)": "null", "Time required to start a business, male (days)": "null", "Time spent dealing with the requirements of government regulations (% of senior management time)": "null", "Total tax and contribution rate (% of profit)": "null"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Business extent of disclosure index (0=less disclosure to 10=more disclosure)": {"type": "string"}, "Depth of credit information index (0=low to 8=high)": {"type": "string"}, "Domestic credit to private sector (% of GDP)": {"type": "number"}, "Ease of doing business rank (1=most business-friendly regulations)": {"type": "string"}, "Firms experiencing electrical outages (% of firms)": {"type": "string"}, "Firms experiencing losses due to theft and vandalism (% of firms)": {"type": "string"}, "Firms that spend on R&D (% of firms)": {"type": "string"}, "Firms using banks to finance working capital (% of firms)": {"type": "string"}, "Firms visited or required meetings with tax officials (% of firms)": {"type": "string"}, "Firms with female participation in ownership (% of firms)": {"type": "string"}, "Firms with female top manager (% of firms)": {"type": "string"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "High-technology exports (% of manufactured exports)": {"type": "number"}, "High-technology exports (current US$)": {"type": "integer"}, "International tourism, expenditures (% of total imports)": {"type": "number"}, "International tourism, receipts (% of total exports)": {"type": "number"}, "Investment in energy with private participation (current US$)": {"type": "string"}, "Investment in transport with private participation (current US$)": {"type": "string"}, "Investment in water and sanitation with private participation (current US$)": {"type": "string"}, "Lead time to export, median case (days)": {"type": "string"}, "Lead time to import, median case (days)": {"type": "string"}, "Logistics performance index: Overall (1=low to 5=high)": {"type": "string"}, "Medium and high-tech exports (% manufactured exports)": {"type": "number"}, "Merchandise exports (current US$)": {"type": "integer"}, "Merchandise imports (current US$)": {"type": "integer"}, "Merchandise trade (% of GDP)": {"type": "number"}, "Net barter terms of trade index (2015 = 100)": {"type": "number"}, "New businesses registered (number)": {"type": "integer"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}, "Start-up procedures to register a business (number)": {"type": "string"}, "Start-up procedures to register a business, female (number)": {"type": "string"}, "Start-up procedures to register a business, male (number)": {"type": "string"}, "Strength of legal rights index (0=weak to 12=strong)": {"type": "string"}, "Time required to get electricity (days)": {"type": "string"}, "Time required to start a business (days)": {"type": "string"}, "Time required to start a business, female (days)": {"type": "string"}, "Time required to start a business, male (days)": {"type": "string"}, "Time spent dealing with the requirements of government regulations (% of senior management time)": {"type": "string"}, "Total tax and contribution rate (% of profit)": {"type": "string"}}, "required": ["Business extent of disclosure index (0=less disclosure to 10=more disclosure)", "Depth of credit information index (0=low to 8=high)", "Domestic credit to private sector (% of GDP)", "Ease of doing business rank (1=most business-friendly regulations)", "Firms experiencing electrical outages (% of firms)", "Firms experiencing losses due to theft and vandalism (% of firms)", "Firms that spend on R&D (% of firms)", "Firms using banks to finance working capital (% of firms)", "Firms visited or required meetings with tax officials (% of firms)", "Firms with female participation in ownership (% of firms)", "Firms with female top manager (% of firms)", "Fuel exports (% of merchandise exports)", "High-technology exports (% of manufactured exports)", "High-technology exports (current US$)", "International tourism, expenditures (% of total imports)", "International tourism, receipts (% of total exports)", "Investment in energy with private participation (current US$)", "Investment in transport with private participation (current US$)", "Investment in water and sanitation with private participation (current US$)", "Lead time to export, median case (days)", "Lead time to import, median case (days)", "Logistics performance index: Overall (1=low to 5=high)", "Medium and high-tech exports (% manufactured exports)", "Merchandise exports (current US$)", "Merchandise imports (current US$)", "Merchandise trade (% of GDP)", "Net barter terms of trade index (2015 = 100)", "New businesses registered (number)", "Ores and metals exports (% of merchandise exports)", "Start-up procedures to register a business (number)", "Start-up procedures to register a business, female (number)", "Start-up procedures to register a business, male (number)", "Strength of legal rights index (0=weak to 12=strong)", "Time required to get electricity (days)", "Time required to start a business (days)", "Time required to start a business, female (days)", "Time required to start a business, male (days)", "Time spent dealing with the requirements of government regulations (% of senior management time)", "Total tax and contribution rate (% of profit)"]}, "2021": {"type": "object", "properties": {"Business extent of disclosure index (0=less disclosure to 10=more disclosure)": {"type": "string"}, "Depth of credit information index (0=low to 8=high)": {"type": "string"}, "Domestic credit to private sector (% of GDP)": {"type": "number"}, "Ease of doing business rank (1=most business-friendly regulations)": {"type": "string"}, "Firms experiencing electrical outages (% of firms)": {"type": "string"}, "Firms experiencing losses due to theft and vandalism (% of firms)": {"type": "string"}, "Firms that spend on R&D (% of firms)": {"type": "string"}, "Firms using banks to finance working capital (% of firms)": {"type": "string"}, "Firms visited or required meetings with tax officials (% of firms)": {"type": "string"}, "Firms with female participation in ownership (% of firms)": {"type": "string"}, "Firms with female top manager (% of firms)": {"type": "string"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "High-technology exports (% of manufactured exports)": {"type": "number"}, "High-technology exports (current US$)": {"type": "integer"}, "International tourism, expenditures (% of total imports)": {"type": "string"}, "International tourism, receipts (% of total exports)": {"type": "string"}, "Investment in energy with private participation (current US$)": {"type": "string"}, "Investment in transport with private participation (current US$)": {"type": "string"}, "Investment in water and sanitation with private participation (current US$)": {"type": "string"}, "Lead time to export, median case (days)": {"type": "string"}, "Lead time to import, median case (days)": {"type": "string"}, "Logistics performance index: Overall (1=low to 5=high)": {"type": "string"}, "Medium and high-tech exports (% manufactured exports)": {"type": "string"}, "Merchandise exports (current US$)": {"type": "integer"}, "Merchandise imports (current US$)": {"type": "integer"}, "Merchandise trade (% of GDP)": {"type": "number"}, "Net barter terms of trade index (2015 = 100)": {"type": "number"}, "New businesses registered (number)": {"type": "string"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}, "Start-up procedures to register a business (number)": {"type": "string"}, "Start-up procedures to register a business, female (number)": {"type": "string"}, "Start-up procedures to register a business, male (number)": {"type": "string"}, "Strength of legal rights index (0=weak to 12=strong)": {"type": "string"}, "Time required to get electricity (days)": {"type": "string"}, "Time required to start a business (days)": {"type": "string"}, "Time required to start a business, female (days)": {"type": "string"}, "Time required to start a business, male (days)": {"type": "string"}, "Time spent dealing with the requirements of government regulations (% of senior management time)": {"type": "string"}, "Total tax and contribution rate (% of profit)": {"type": "string"}}, "required": ["Business extent of disclosure index (0=less disclosure to 10=more disclosure)", "Depth of credit information index (0=low to 8=high)", "Domestic credit to private sector (% of GDP)", "Ease of doing business rank (1=most business-friendly regulations)", "Firms experiencing electrical outages (% of firms)", "Firms experiencing losses due to theft and vandalism (% of firms)", "Firms that spend on R&D (% of firms)", "Firms using banks to finance working capital (% of firms)", "Firms visited or required meetings with tax officials (% of firms)", "Firms with female participation in ownership (% of firms)", "Firms with female top manager (% of firms)", "Fuel exports (% of merchandise exports)", "High-technology exports (% of manufactured exports)", "High-technology exports (current US$)", "International tourism, expenditures (% of total imports)", "International tourism, receipts (% of total exports)", "Investment in energy with private participation (current US$)", "Investment in transport with private participation (current US$)", "Investment in water and sanitation with private participation (current US$)", "Lead time to export, median case (days)", "Lead time to import, median case (days)", "Logistics performance index: Overall (1=low to 5=high)", "Medium and high-tech exports (% manufactured exports)", "Merchandise exports (current US$)", "Merchandise imports (current US$)", "Merchandise trade (% of GDP)", "Net barter terms of trade index (2015 = 100)", "New businesses registered (number)", "Ores and metals exports (% of merchandise exports)", "Start-up procedures to register a business (number)", "Start-up procedures to register a business, female (number)", "Start-up procedures to register a business, male (number)", "Strength of legal rights index (0=weak to 12=strong)", "Time required to get electricity (days)", "Time required to start a business (days)", "Time required to start a business, female (days)", "Time required to start a business, male (days)", "Time spent dealing with the requirements of government regulations (% of senior management time)", "Total tax and contribution rate (% of profit)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/fdc1f8c7-caa0-42e4-84ea-acb731005ce8/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | External Debt | Retrieves the external debt indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The external debt indicators for the specified country. | 200 | null | {"2020": {"Current account balance (BoP, current US$)": 150028926280.73, "External debt stocks (% of GNI)": "null", "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)": "null", "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)": "null", "External debt stocks, short-term (DOD, current US$)": "null", "External debt stocks, total (DOD, current US$)": "null", "Foreign direct investment, net inflows (BoP, current US$)": 62584719398.0912, "Grants, excluding technical cooperation (BoP, current US$)": "null", "IBRD loans and IDA credits (DOD, current US$)": "null", "Net ODA received (% of GNI)": "null", "Net ODA received per capita (current US$)": "null", "Net official development assistance received (current US$)": "null", "Personal remittances, received (current US$)": 4887784631.45566, "Short-term debt (% of total reserves)": "null", "Technical cooperation grants (BoP, current US$)": "null", "Total debt service (% of exports of goods, services and primary income)": "null", "Total reserves (includes gold, current US$)": 1390808939303.37, "Use of IMF credit (DOD, current US$)": "null"}, "2021": {"Current account balance (BoP, current US$)": 197154455955.774, "External debt stocks (% of GNI)": "null", "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)": "null", "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)": "null", "External debt stocks, short-term (DOD, current US$)": "null", "External debt stocks, total (DOD, current US$)": "null", "Foreign direct investment, net inflows (BoP, current US$)": 34669239975.5376, "Grants, excluding technical cooperation (BoP, current US$)": "null", "IBRD loans and IDA credits (DOD, current US$)": "null", "Net ODA received (% of GNI)": "null", "Net ODA received per capita (current US$)": "null", "Net official development assistance received (current US$)": "null", "Personal remittances, received (current US$)": 5293894065.13756, "Short-term debt (% of total reserves)": "null", "Technical cooperation grants (BoP, current US$)": "null", "Total debt service (% of exports of goods, services and primary income)": "null", "Total reserves (includes gold, current US$)": 1405748991418.92, "Use of IMF credit (DOD, current US$)": "null"}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Current account balance (BoP, current US$)": {"type": "number"}, "External debt stocks (% of GNI)": {"type": "string"}, "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)": {"type": "string"}, "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)": {"type": "string"}, "External debt stocks, short-term (DOD, current US$)": {"type": "string"}, "External debt stocks, total (DOD, current US$)": {"type": "string"}, "Foreign direct investment, net inflows (BoP, current US$)": {"type": "number"}, "Grants, excluding technical cooperation (BoP, current US$)": {"type": "string"}, "IBRD loans and IDA credits (DOD, current US$)": {"type": "string"}, "Net ODA received (% of GNI)": {"type": "string"}, "Net ODA received per capita (current US$)": {"type": "string"}, "Net official development assistance received (current US$)": {"type": "string"}, "Personal remittances, received (current US$)": {"type": "number"}, "Short-term debt (% of total reserves)": {"type": "string"}, "Technical cooperation grants (BoP, current US$)": {"type": "string"}, "Total debt service (% of exports of goods, services and primary income)": {"type": "string"}, "Total reserves (includes gold, current US$)": {"type": "number"}, "Use of IMF credit (DOD, current US$)": {"type": "string"}}, "required": ["Current account balance (BoP, current US$)", "External debt stocks (% of GNI)", "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)", "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)", "External debt stocks, short-term (DOD, current US$)", "External debt stocks, total (DOD, current US$)", "Foreign direct investment, net inflows (BoP, current US$)", "Grants, excluding technical cooperation (BoP, current US$)", "IBRD loans and IDA credits (DOD, current US$)", "Net ODA received (% of GNI)", "Net ODA received per capita (current US$)", "Net official development assistance received (current US$)", "Personal remittances, received (current US$)", "Short-term debt (% of total reserves)", "Technical cooperation grants (BoP, current US$)", "Total debt service (% of exports of goods, services and primary income)", "Total reserves (includes gold, current US$)", "Use of IMF credit (DOD, current US$)"]}, "2021": {"type": "object", "properties": {"Current account balance (BoP, current US$)": {"type": "number"}, "External debt stocks (% of GNI)": {"type": "string"}, "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)": {"type": "string"}, "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)": {"type": "string"}, "External debt stocks, short-term (DOD, current US$)": {"type": "string"}, "External debt stocks, total (DOD, current US$)": {"type": "string"}, "Foreign direct investment, net inflows (BoP, current US$)": {"type": "number"}, "Grants, excluding technical cooperation (BoP, current US$)": {"type": "string"}, "IBRD loans and IDA credits (DOD, current US$)": {"type": "string"}, "Net ODA received (% of GNI)": {"type": "string"}, "Net ODA received per capita (current US$)": {"type": "string"}, "Net official development assistance received (current US$)": {"type": "string"}, "Personal remittances, received (current US$)": {"type": "number"}, "Short-term debt (% of total reserves)": {"type": "string"}, "Technical cooperation grants (BoP, current US$)": {"type": "string"}, "Total debt service (% of exports of goods, services and primary income)": {"type": "string"}, "Total reserves (includes gold, current US$)": {"type": "number"}, "Use of IMF credit (DOD, current US$)": {"type": "string"}}, "required": ["Current account balance (BoP, current US$)", "External debt stocks (% of GNI)", "External debt stocks, private nonguaranteed (PNG) (DOD, current US$)", "External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$)", "External debt stocks, short-term (DOD, current US$)", "External debt stocks, total (DOD, current US$)", "Foreign direct investment, net inflows (BoP, current US$)", "Grants, excluding technical cooperation (BoP, current US$)", "IBRD loans and IDA credits (DOD, current US$)", "Net ODA received (% of GNI)", "Net ODA received per capita (current US$)", "Net official development assistance received (current US$)", "Personal remittances, received (current US$)", "Short-term debt (% of total reserves)", "Technical cooperation grants (BoP, current US$)", "Total debt service (% of exports of goods, services and primary income)", "Total reserves (includes gold, current US$)", "Use of IMF credit (DOD, current US$)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/fdc1f8c7-caa0-42e4-84ea-acb731005ce8/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | External Debt | Retrieves the external debt indicators for a specific country.
Args:
country (str): The name of the country.
Returns:
The external debt indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/ff6185c0-ebcb-488e-a932-f35ad33d7537/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Education | Get education indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The education indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/ff6185c0-ebcb-488e-a932-f35ad33d7537/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Education | Get education indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve the indicators.
Returns:
The education indicators for the specified country. | 200 | null | {"2020": {"Children out of school, primary, female": "null", "Children out of school, primary, male": "null", "Government expenditure on education, total (% of GDP)": 3.4200000763, "Government expenditure on education, total (% of government expenditure)": 7.3099999428, "Government expenditure per student, primary (% of GDP per capita)": "null", "Government expenditure per student, secondary (% of GDP per capita)": "null", "Government expenditure per student, tertiary (% of GDP per capita)": "null", "Gross intake ratio in first grade of primary education, female (% of relevant age group)": "null", "Gross intake ratio in first grade of primary education, male (% of relevant age group)": "null", "Labor force, female (% of total labor force)": 44.3999323143, "Labor force, total": 68953988, "Literacy rate, adult female (% of females ages 15 and above)": "null", "Literacy rate, adult male (% of males ages 15 and above)": "null", "Literacy rate, adult total (% of people ages 15 and above)": "null", "Literacy rate, youth female (% of females ages 15-24)": "null", "Literacy rate, youth male (% of males ages 15-24)": "null", "Literacy rate, youth total (% of people ages 15-24)": "null", "Persistence to last grade of primary, female (% of cohort)": "null", "Persistence to last grade of primary, male (% of cohort)": "null", "Population ages 0-14 (% of total population)": 11.9157072443, "Population ages 15-64 (% of total population)": 58.5011143041, "Primary completion rate, female (% of relevant age group)": "null", "Primary completion rate, male (% of relevant age group)": "null", "Primary completion rate, total (% of relevant age group)": "null", "Progression to secondary school, female (%)": "null", "Progression to secondary school, male (%)": "null", "Pupil-teacher ratio, primary": "null", "Repeaters, primary, female (% of female enrollment)": "null", "Repeaters, primary, male (% of male enrollment)": "null", "School enrollment, preprimary (% gross)": "null", "School enrollment, primary (% gross)": "null", "School enrollment, primary (% net)": "null", "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "School enrollment, secondary (% gross)": "null", "School enrollment, secondary (% net)": "null", "School enrollment, tertiary (% gross)": "null", "Trained teachers in primary education (% of total teachers)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.52, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.024, "Unemployment, total (% of total labor force) (modeled ILO estimate)": 2.8}, "2021": {"Children out of school, primary, female": "null", "Children out of school, primary, male": "null", "Government expenditure on education, total (% of GDP)": "null", "Government expenditure on education, total (% of government expenditure)": "null", "Government expenditure per student, primary (% of GDP per capita)": "null", "Government expenditure per student, secondary (% of GDP per capita)": "null", "Government expenditure per student, tertiary (% of GDP per capita)": "null", "Gross intake ratio in first grade of primary education, female (% of relevant age group)": "null", "Gross intake ratio in first grade of primary education, male (% of relevant age group)": "null", "Labor force, female (% of total labor force)": 44.57545149, "Labor force, total": 68858892, "Literacy rate, adult female (% of females ages 15 and above)": "null", "Literacy rate, adult male (% of males ages 15 and above)": "null", "Literacy rate, adult total (% of people ages 15 and above)": "null", "Literacy rate, youth female (% of females ages 15-24)": "null", "Literacy rate, youth male (% of males ages 15-24)": "null", "Literacy rate, youth total (% of people ages 15-24)": "null", "Persistence to last grade of primary, female (% of cohort)": "null", "Persistence to last grade of primary, male (% of cohort)": "null", "Population ages 0-14 (% of total population)": 11.7739664231, "Population ages 15-64 (% of total population)": 58.4389436663, "Primary completion rate, female (% of relevant age group)": "null", "Primary completion rate, male (% of relevant age group)": "null", "Primary completion rate, total (% of relevant age group)": "null", "Progression to secondary school, female (%)": "null", "Progression to secondary school, male (%)": "null", "Pupil-teacher ratio, primary": "null", "Repeaters, primary, female (% of female enrollment)": "null", "Repeaters, primary, male (% of male enrollment)": "null", "School enrollment, preprimary (% gross)": "null", "School enrollment, primary (% gross)": "null", "School enrollment, primary (% net)": "null", "School enrollment, primary (gross), gender parity index (GPI)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "School enrollment, secondary (% gross)": "null", "School enrollment, secondary (% net)": "null", "School enrollment, tertiary (% gross)": "null", "Trained teachers in primary education (% of total teachers)": "null", "Unemployment, female (% of female labor force) (modeled ILO estimate)": 2.471, "Unemployment, male (% of male labor force) (modeled ILO estimate)": 3.064, "Unemployment, total (% of total labor force) (modeled ILO estimate)": 2.8}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Children out of school, primary, female": {"type": "string"}, "Children out of school, primary, male": {"type": "string"}, "Government expenditure on education, total (% of GDP)": {"type": "number"}, "Government expenditure on education, total (% of government expenditure)": {"type": "number"}, "Government expenditure per student, primary (% of GDP per capita)": {"type": "string"}, "Government expenditure per student, secondary (% of GDP per capita)": {"type": "string"}, "Government expenditure per student, tertiary (% of GDP per capita)": {"type": "string"}, "Gross intake ratio in first grade of primary education, female (% of relevant age group)": {"type": "string"}, "Gross intake ratio in first grade of primary education, male (% of relevant age group)": {"type": "string"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Labor force, total": {"type": "integer"}, "Literacy rate, adult female (% of females ages 15 and above)": {"type": "string"}, "Literacy rate, adult male (% of males ages 15 and above)": {"type": "string"}, "Literacy rate, adult total (% of people ages 15 and above)": {"type": "string"}, "Literacy rate, youth female (% of females ages 15-24)": {"type": "string"}, "Literacy rate, youth male (% of males ages 15-24)": {"type": "string"}, "Literacy rate, youth total (% of people ages 15-24)": {"type": "string"}, "Persistence to last grade of primary, female (% of cohort)": {"type": "string"}, "Persistence to last grade of primary, male (% of cohort)": {"type": "string"}, "Population ages 0-14 (% of total population)": {"type": "number"}, "Population ages 15-64 (% of total population)": {"type": "number"}, "Primary completion rate, female (% of relevant age group)": {"type": "string"}, "Primary completion rate, male (% of relevant age group)": {"type": "string"}, "Primary completion rate, total (% of relevant age group)": {"type": "string"}, "Progression to secondary school, female (%)": {"type": "string"}, "Progression to secondary school, male (%)": {"type": "string"}, "Pupil-teacher ratio, primary": {"type": "string"}, "Repeaters, primary, female (% of female enrollment)": {"type": "string"}, "Repeaters, primary, male (% of male enrollment)": {"type": "string"}, "School enrollment, preprimary (% gross)": {"type": "string"}, "School enrollment, primary (% gross)": {"type": "string"}, "School enrollment, primary (% net)": {"type": "string"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, secondary (% gross)": {"type": "string"}, "School enrollment, secondary (% net)": {"type": "string"}, "School enrollment, tertiary (% gross)": {"type": "string"}, "Trained teachers in primary education (% of total teachers)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, total (% of total labor force) (modeled ILO estimate)": {"type": "number"}}, "required": ["Children out of school, primary, female", "Children out of school, primary, male", "Government expenditure on education, total (% of GDP)", "Government expenditure on education, total (% of government expenditure)", "Government expenditure per student, primary (% of GDP per capita)", "Government expenditure per student, secondary (% of GDP per capita)", "Government expenditure per student, tertiary (% of GDP per capita)", "Gross intake ratio in first grade of primary education, female (% of relevant age group)", "Gross intake ratio in first grade of primary education, male (% of relevant age group)", "Labor force, female (% of total labor force)", "Labor force, total", "Literacy rate, adult female (% of females ages 15 and above)", "Literacy rate, adult male (% of males ages 15 and above)", "Literacy rate, adult total (% of people ages 15 and above)", "Literacy rate, youth female (% of females ages 15-24)", "Literacy rate, youth male (% of males ages 15-24)", "Literacy rate, youth total (% of people ages 15-24)", "Persistence to last grade of primary, female (% of cohort)", "Persistence to last grade of primary, male (% of cohort)", "Population ages 0-14 (% of total population)", "Population ages 15-64 (% of total population)", "Primary completion rate, female (% of relevant age group)", "Primary completion rate, male (% of relevant age group)", "Primary completion rate, total (% of relevant age group)", "Progression to secondary school, female (%)", "Progression to secondary school, male (%)", "Pupil-teacher ratio, primary", "Repeaters, primary, female (% of female enrollment)", "Repeaters, primary, male (% of male enrollment)", "School enrollment, preprimary (% gross)", "School enrollment, primary (% gross)", "School enrollment, primary (% net)", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "School enrollment, secondary (% gross)", "School enrollment, secondary (% net)", "School enrollment, tertiary (% gross)", "Trained teachers in primary education (% of total teachers)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, total (% of total labor force) (modeled ILO estimate)"]}, "2021": {"type": "object", "properties": {"Children out of school, primary, female": {"type": "string"}, "Children out of school, primary, male": {"type": "string"}, "Government expenditure on education, total (% of GDP)": {"type": "string"}, "Government expenditure on education, total (% of government expenditure)": {"type": "string"}, "Government expenditure per student, primary (% of GDP per capita)": {"type": "string"}, "Government expenditure per student, secondary (% of GDP per capita)": {"type": "string"}, "Government expenditure per student, tertiary (% of GDP per capita)": {"type": "string"}, "Gross intake ratio in first grade of primary education, female (% of relevant age group)": {"type": "string"}, "Gross intake ratio in first grade of primary education, male (% of relevant age group)": {"type": "string"}, "Labor force, female (% of total labor force)": {"type": "number"}, "Labor force, total": {"type": "integer"}, "Literacy rate, adult female (% of females ages 15 and above)": {"type": "string"}, "Literacy rate, adult male (% of males ages 15 and above)": {"type": "string"}, "Literacy rate, adult total (% of people ages 15 and above)": {"type": "string"}, "Literacy rate, youth female (% of females ages 15-24)": {"type": "string"}, "Literacy rate, youth male (% of males ages 15-24)": {"type": "string"}, "Literacy rate, youth total (% of people ages 15-24)": {"type": "string"}, "Persistence to last grade of primary, female (% of cohort)": {"type": "string"}, "Persistence to last grade of primary, male (% of cohort)": {"type": "string"}, "Population ages 0-14 (% of total population)": {"type": "number"}, "Population ages 15-64 (% of total population)": {"type": "number"}, "Primary completion rate, female (% of relevant age group)": {"type": "string"}, "Primary completion rate, male (% of relevant age group)": {"type": "string"}, "Primary completion rate, total (% of relevant age group)": {"type": "string"}, "Progression to secondary school, female (%)": {"type": "string"}, "Progression to secondary school, male (%)": {"type": "string"}, "Pupil-teacher ratio, primary": {"type": "string"}, "Repeaters, primary, female (% of female enrollment)": {"type": "string"}, "Repeaters, primary, male (% of male enrollment)": {"type": "string"}, "School enrollment, preprimary (% gross)": {"type": "string"}, "School enrollment, primary (% gross)": {"type": "string"}, "School enrollment, primary (% net)": {"type": "string"}, "School enrollment, primary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "School enrollment, secondary (% gross)": {"type": "string"}, "School enrollment, secondary (% net)": {"type": "string"}, "School enrollment, tertiary (% gross)": {"type": "string"}, "Trained teachers in primary education (% of total teachers)": {"type": "string"}, "Unemployment, female (% of female labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, male (% of male labor force) (modeled ILO estimate)": {"type": "number"}, "Unemployment, total (% of total labor force) (modeled ILO estimate)": {"type": "number"}}, "required": ["Children out of school, primary, female", "Children out of school, primary, male", "Government expenditure on education, total (% of GDP)", "Government expenditure on education, total (% of government expenditure)", "Government expenditure per student, primary (% of GDP per capita)", "Government expenditure per student, secondary (% of GDP per capita)", "Government expenditure per student, tertiary (% of GDP per capita)", "Gross intake ratio in first grade of primary education, female (% of relevant age group)", "Gross intake ratio in first grade of primary education, male (% of relevant age group)", "Labor force, female (% of total labor force)", "Labor force, total", "Literacy rate, adult female (% of females ages 15 and above)", "Literacy rate, adult male (% of males ages 15 and above)", "Literacy rate, adult total (% of people ages 15 and above)", "Literacy rate, youth female (% of females ages 15-24)", "Literacy rate, youth male (% of males ages 15-24)", "Literacy rate, youth total (% of people ages 15-24)", "Persistence to last grade of primary, female (% of cohort)", "Persistence to last grade of primary, male (% of cohort)", "Population ages 0-14 (% of total population)", "Population ages 15-64 (% of total population)", "Primary completion rate, female (% of relevant age group)", "Primary completion rate, male (% of relevant age group)", "Primary completion rate, total (% of relevant age group)", "Progression to secondary school, female (%)", "Progression to secondary school, male (%)", "Pupil-teacher ratio, primary", "Repeaters, primary, female (% of female enrollment)", "Repeaters, primary, male (% of male enrollment)", "School enrollment, preprimary (% gross)", "School enrollment, primary (% gross)", "School enrollment, primary (% net)", "School enrollment, primary (gross), gender parity index (GPI)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "School enrollment, secondary (% gross)", "School enrollment, secondary (% net)", "School enrollment, tertiary (% gross)", "Trained teachers in primary education (% of total teachers)", "Unemployment, female (% of female labor force) (modeled ILO estimate)", "Unemployment, male (% of male labor force) (modeled ILO estimate)", "Unemployment, total (% of total labor force) (modeled ILO estimate)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/0a3e20b7-a516-422a-ae90-1c64632a2cba/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Climate Change | Get climate change indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The climate change indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/0a3e20b7-a516-422a-ae90-1c64632a2cba/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Climate Change | Get climate change indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The climate change indicators for the specified country. | 200 | null | {"2020": {"Access to electricity (% of population)": 100, "Agricultural irrigated land (% of total agricultural land)": "null", "Agricultural land (% of land area)": 12.8449931413, "Agriculture, forestry, and fishing, value added (% of GDP)": 1.0280803083, "Annual freshwater withdrawals, total (% of internal resources)": 18.2325581395, "Annual freshwater withdrawals, total (billion cubic meters)": 78.4, "Arable land (% of land area)": 11.2592592593, "Cereal yield (kg per hectare)": 6472.9, "CO2 emissions (kt)": 1014064.7, "CO2 emissions (metric tons per capita)": 8.0314958697, "CPIA public sector management and institutions cluster average (1=low to 6=high)": "null", "Ease of doing business rank (1=most business-friendly regulations)": "null", "Electric power consumption (kWh per capita)": "null", "Energy use (kg of oil equivalent per capita)": "null", "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area where elevation is below 5 meters (% of total land area)": "null", "Methane emissions (kt of CO2 equivalent)": 25783.31233, "Mortality rate, under-5 (per 1,000 live births)": 2.4, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": 18498.40533, "Population growth (annual %)": -0.2941946178, "Population in urban agglomerations of more than 1 million (% of total population)": 64.6611962522, "Population living in areas where elevation is below 5 meters (% of total population)": "null", "Population, total": 126261000, "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)": "null", "Prevalence of underweight, weight for age (% of children under 5)": "null", "Primary completion rate, total (% of relevant age group)": "null", "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": 8.45, "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Terrestrial and marine protected areas (% of total territorial area)": 10.0262020413, "Total greenhouse gas emissions (kt of CO2 equivalent)": 1094556.256, "Urban population": 115884871, "Urban population (% of total population)": 91.782}, "2021": {"Access to electricity (% of population)": 100, "Agricultural irrigated land (% of total agricultural land)": "null", "Agricultural land (% of land area)": 12.7818930041, "Agriculture, forestry, and fishing, value added (% of GDP)": 0.9509095082, "Annual freshwater withdrawals, total (% of internal resources)": "null", "Annual freshwater withdrawals, total (billion cubic meters)": "null", "Arable land (% of land area)": 11.2098765432, "Cereal yield (kg per hectare)": 6787.3, "CO2 emissions (kt)": "null", "CO2 emissions (metric tons per capita)": "null", "CPIA public sector management and institutions cluster average (1=low to 6=high)": "null", "Ease of doing business rank (1=most business-friendly regulations)": "null", "Electric power consumption (kWh per capita)": "null", "Energy use (kg of oil equivalent per capita)": "null", "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area where elevation is below 5 meters (% of total land area)": "null", "Methane emissions (kt of CO2 equivalent)": "null", "Mortality rate, under-5 (per 1,000 live births)": 2.3, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": "null", "Population growth (annual %)": -0.4599524158, "Population in urban agglomerations of more than 1 million (% of total population)": 64.882381782, "Population living in areas where elevation is below 5 meters (% of total population)": "null", "Population, total": 125681593, "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)": "null", "Prevalence of underweight, weight for age (% of children under 5)": "null", "Primary completion rate, total (% of relevant age group)": "null", "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": "null", "School enrollment, primary and secondary (gross), gender parity index (GPI)": "null", "Terrestrial and marine protected areas (% of total territorial area)": 15.2354423763, "Total greenhouse gas emissions (kt of CO2 equivalent)": "null", "Urban population": 115459909, "Urban population (% of total population)": 91.867}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Agricultural irrigated land (% of total agricultural land)": {"type": "string"}, "Agricultural land (% of land area)": {"type": "number"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Annual freshwater withdrawals, total (% of internal resources)": {"type": "number"}, "Annual freshwater withdrawals, total (billion cubic meters)": {"type": "number"}, "Arable land (% of land area)": {"type": "number"}, "Cereal yield (kg per hectare)": {"type": "number"}, "CO2 emissions (kt)": {"type": "number"}, "CO2 emissions (metric tons per capita)": {"type": "number"}, "CPIA public sector management and institutions cluster average (1=low to 6=high)": {"type": "string"}, "Ease of doing business rank (1=most business-friendly regulations)": {"type": "string"}, "Electric power consumption (kWh per capita)": {"type": "string"}, "Energy use (kg of oil equivalent per capita)": {"type": "string"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area where elevation is below 5 meters (% of total land area)": {"type": "string"}, "Methane emissions (kt of CO2 equivalent)": {"type": "number"}, "Mortality rate, under-5 (per 1,000 live births)": {"type": "number"}, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": {"type": "number"}, "Population growth (annual %)": {"type": "number"}, "Population in urban agglomerations of more than 1 million (% of total population)": {"type": "number"}, "Population living in areas where elevation is below 5 meters (% of total population)": {"type": "string"}, "Population, total": {"type": "integer"}, "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)": {"type": "string"}, "Prevalence of underweight, weight for age (% of children under 5)": {"type": "string"}, "Primary completion rate, total (% of relevant age group)": {"type": "string"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "number"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Terrestrial and marine protected areas (% of total territorial area)": {"type": "number"}, "Total greenhouse gas emissions (kt of CO2 equivalent)": {"type": "number"}, "Urban population": {"type": "integer"}, "Urban population (% of total population)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Agricultural irrigated land (% of total agricultural land)", "Agricultural land (% of land area)", "Agriculture, forestry, and fishing, value added (% of GDP)", "Annual freshwater withdrawals, total (% of internal resources)", "Annual freshwater withdrawals, total (billion cubic meters)", "Arable land (% of land area)", "CO2 emissions (kt)", "CO2 emissions (metric tons per capita)", "CPIA public sector management and institutions cluster average (1=low to 6=high)", "Cereal yield (kg per hectare)", "Ease of doing business rank (1=most business-friendly regulations)", "Electric power consumption (kWh per capita)", "Energy use (kg of oil equivalent per capita)", "Forest area (% of land area)", "Forest area (sq. km)", "Land area where elevation is below 5 meters (% of total land area)", "Methane emissions (kt of CO2 equivalent)", "Mortality rate, under-5 (per 1,000 live births)", "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", "Population growth (annual %)", "Population in urban agglomerations of more than 1 million (% of total population)", "Population living in areas where elevation is below 5 meters (% of total population)", "Population, total", "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)", "Prevalence of underweight, weight for age (% of children under 5)", "Primary completion rate, total (% of relevant age group)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Terrestrial and marine protected areas (% of total territorial area)", "Total greenhouse gas emissions (kt of CO2 equivalent)", "Urban population", "Urban population (% of total population)"]}, "2021": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Agricultural irrigated land (% of total agricultural land)": {"type": "string"}, "Agricultural land (% of land area)": {"type": "number"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Annual freshwater withdrawals, total (% of internal resources)": {"type": "string"}, "Annual freshwater withdrawals, total (billion cubic meters)": {"type": "string"}, "Arable land (% of land area)": {"type": "number"}, "Cereal yield (kg per hectare)": {"type": "number"}, "CO2 emissions (kt)": {"type": "string"}, "CO2 emissions (metric tons per capita)": {"type": "string"}, "CPIA public sector management and institutions cluster average (1=low to 6=high)": {"type": "string"}, "Ease of doing business rank (1=most business-friendly regulations)": {"type": "string"}, "Electric power consumption (kWh per capita)": {"type": "string"}, "Energy use (kg of oil equivalent per capita)": {"type": "string"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area where elevation is below 5 meters (% of total land area)": {"type": "string"}, "Methane emissions (kt of CO2 equivalent)": {"type": "string"}, "Mortality rate, under-5 (per 1,000 live births)": {"type": "number"}, "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)": {"type": "string"}, "Population growth (annual %)": {"type": "number"}, "Population in urban agglomerations of more than 1 million (% of total population)": {"type": "number"}, "Population living in areas where elevation is below 5 meters (% of total population)": {"type": "string"}, "Population, total": {"type": "integer"}, "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)": {"type": "string"}, "Prevalence of underweight, weight for age (% of children under 5)": {"type": "string"}, "Primary completion rate, total (% of relevant age group)": {"type": "string"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "string"}, "School enrollment, primary and secondary (gross), gender parity index (GPI)": {"type": "string"}, "Terrestrial and marine protected areas (% of total territorial area)": {"type": "number"}, "Total greenhouse gas emissions (kt of CO2 equivalent)": {"type": "string"}, "Urban population": {"type": "integer"}, "Urban population (% of total population)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Agricultural irrigated land (% of total agricultural land)", "Agricultural land (% of land area)", "Agriculture, forestry, and fishing, value added (% of GDP)", "Annual freshwater withdrawals, total (% of internal resources)", "Annual freshwater withdrawals, total (billion cubic meters)", "Arable land (% of land area)", "CO2 emissions (kt)", "CO2 emissions (metric tons per capita)", "CPIA public sector management and institutions cluster average (1=low to 6=high)", "Cereal yield (kg per hectare)", "Ease of doing business rank (1=most business-friendly regulations)", "Electric power consumption (kWh per capita)", "Energy use (kg of oil equivalent per capita)", "Forest area (% of land area)", "Forest area (sq. km)", "Land area where elevation is below 5 meters (% of total land area)", "Methane emissions (kt of CO2 equivalent)", "Mortality rate, under-5 (per 1,000 live births)", "Nitrous oxide emissions (thousand metric tons of CO2 equivalent)", "Population growth (annual %)", "Population in urban agglomerations of more than 1 million (% of total population)", "Population living in areas where elevation is below 5 meters (% of total population)", "Population, total", "Poverty headcount ratio at $2.15 a day (2017 PPP) (% of population)", "Prevalence of underweight, weight for age (% of children under 5)", "Primary completion rate, total (% of relevant age group)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "School enrollment, primary and secondary (gross), gender parity index (GPI)", "Terrestrial and marine protected areas (% of total territorial area)", "Total greenhouse gas emissions (kt of CO2 equivalent)", "Urban population", "Urban population (% of total population)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/b6f068e3-7e05-43e8-8cea-5424c8e4ace0/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Agriculture | Retrieves agriculture indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve agriculture indicators.
Returns:
The agriculture indicators for the specified country. | 200 | null | {"2020": {"Agricultural irrigated land (% of total agricultural land)": "null", "Agricultural land (% of land area)": 12.8449931413, "Agricultural machinery, tractors per 100 sq. km of arable land": "null", "Agriculture, forestry, and fishing, value added (% of GDP)": 1.0280803083, "Arable land (% of land area)": 11.2592592593, "Arable land (hectares per person)": 0.0325040987, "Cereal yield (kg per hectare)": 6472.9, "Crop production index (2014-2016 = 100)": 95.97, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.808059, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.60372, "Fertilizer consumption (kilograms per hectare of arable land)": 216.0087719298, "Food production index (2014-2016 = 100)": 100.45, "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area (sq. km)": 364500, "Land under cereal production (hectares)": 1805312, "Livestock production index (2014-2016 = 100)": 103.8, "Permanent cropland (% of land area)": 0.7352537723, "Rural population": 10376129, "Rural population (% of total population)": 8.218, "Surface area (sq. km)": 377974}, "2021": {"Agricultural irrigated land (% of total agricultural land)": "null", "Agricultural land (% of land area)": 12.7818930041, "Agricultural machinery, tractors per 100 sq. km of arable land": "null", "Agriculture, forestry, and fishing, value added (% of GDP)": 0.9509095082, "Arable land (% of land area)": 11.2098765432, "Arable land (hectares per person)": 0.0325107273, "Cereal yield (kg per hectare)": 6787.3, "Crop production index (2014-2016 = 100)": 95.93, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": 2.665023, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": 3.578196, "Fertilizer consumption (kilograms per hectare of arable land)": 216.9603524229, "Food production index (2014-2016 = 100)": 101.2, "Forest area (% of land area)": 68.4087791495, "Forest area (sq. km)": 249350, "Land area (sq. km)": 364500, "Land under cereal production (hectares)": 1753108, "Livestock production index (2014-2016 = 100)": 105.28, "Permanent cropland (% of land area)": 0.7215363512, "Rural population": 10221684, "Rural population (% of total population)": 8.133, "Surface area (sq. km)": 377974}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Agricultural irrigated land (% of total agricultural land)": {"type": "string"}, "Agricultural land (% of land area)": {"type": "number"}, "Agricultural machinery, tractors per 100 sq. km of arable land": {"type": "string"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Arable land (% of land area)": {"type": "number"}, "Arable land (hectares per person)": {"type": "number"}, "Cereal yield (kg per hectare)": {"type": "number"}, "Crop production index (2014-2016 = 100)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Fertilizer consumption (kilograms per hectare of arable land)": {"type": "number"}, "Food production index (2014-2016 = 100)": {"type": "number"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area (sq. km)": {"type": "integer"}, "Land under cereal production (hectares)": {"type": "integer"}, "Livestock production index (2014-2016 = 100)": {"type": "number"}, "Permanent cropland (% of land area)": {"type": "number"}, "Rural population": {"type": "integer"}, "Rural population (% of total population)": {"type": "number"}, "Surface area (sq. km)": {"type": "integer"}}, "required": ["Agricultural irrigated land (% of total agricultural land)", "Agricultural land (% of land area)", "Agricultural machinery, tractors per 100 sq. km of arable land", "Agriculture, forestry, and fishing, value added (% of GDP)", "Arable land (% of land area)", "Arable land (hectares per person)", "Cereal yield (kg per hectare)", "Crop production index (2014-2016 = 100)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Fertilizer consumption (kilograms per hectare of arable land)", "Food production index (2014-2016 = 100)", "Forest area (% of land area)", "Forest area (sq. km)", "Land area (sq. km)", "Land under cereal production (hectares)", "Livestock production index (2014-2016 = 100)", "Permanent cropland (% of land area)", "Rural population", "Rural population (% of total population)", "Surface area (sq. km)"]}, "2021": {"type": "object", "properties": {"Agricultural irrigated land (% of total agricultural land)": {"type": "string"}, "Agricultural land (% of land area)": {"type": "number"}, "Agricultural machinery, tractors per 100 sq. km of arable land": {"type": "string"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Arable land (% of land area)": {"type": "number"}, "Arable land (hectares per person)": {"type": "number"}, "Cereal yield (kg per hectare)": {"type": "number"}, "Crop production index (2014-2016 = 100)": {"type": "number"}, "Employment in agriculture, female (% of female employment) (modeled ILO estimate)": {"type": "number"}, "Employment in agriculture, male (% of male employment) (modeled ILO estimate)": {"type": "number"}, "Fertilizer consumption (kilograms per hectare of arable land)": {"type": "number"}, "Food production index (2014-2016 = 100)": {"type": "number"}, "Forest area (% of land area)": {"type": "number"}, "Forest area (sq. km)": {"type": "integer"}, "Land area (sq. km)": {"type": "integer"}, "Land under cereal production (hectares)": {"type": "integer"}, "Livestock production index (2014-2016 = 100)": {"type": "number"}, "Permanent cropland (% of land area)": {"type": "number"}, "Rural population": {"type": "integer"}, "Rural population (% of total population)": {"type": "number"}, "Surface area (sq. km)": {"type": "integer"}}, "required": ["Agricultural irrigated land (% of total agricultural land)", "Agricultural land (% of land area)", "Agricultural machinery, tractors per 100 sq. km of arable land", "Agriculture, forestry, and fishing, value added (% of GDP)", "Arable land (% of land area)", "Arable land (hectares per person)", "Cereal yield (kg per hectare)", "Crop production index (2014-2016 = 100)", "Employment in agriculture, female (% of female employment) (modeled ILO estimate)", "Employment in agriculture, male (% of male employment) (modeled ILO estimate)", "Fertilizer consumption (kilograms per hectare of arable land)", "Food production index (2014-2016 = 100)", "Forest area (% of land area)", "Forest area (sq. km)", "Land area (sq. km)", "Land under cereal production (hectares)", "Livestock production index (2014-2016 = 100)", "Permanent cropland (% of land area)", "Rural population", "Rural population (% of total population)", "Surface area (sq. km)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/b6f068e3-7e05-43e8-8cea-5424c8e4ace0/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Agriculture | Retrieves agriculture indicators for a specific country.
Parameters:
country (str): The name of the country for which to retrieve agriculture indicators.
Returns:
The agriculture indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/baf14311-6716-4899-8924-4700deffa9f8/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Economy | Get country economy indicators.
Args:
country (str): The name of the country.
Returns:
The country economy indicators.
Tags:
country indicators | 200 | null | {"2020": {"Price level ratio of PPP conversion factor (GDP) to market exchange rate": 0.9592891663, "Revenue, excluding grants (% of GDP)": "null", "Short-term debt (% of total reserves)": "null", "Technical cooperation grants (BoP, current US$)": "null", "Total debt service (% of exports of goods, services and primary income)": "null", "Total reserves (includes gold, current US$)": 1390808939303.37, "Adjusted net savings, including particulate emission damage (% of GNI)": 4.7191404248, "Agriculture, forestry, and fishing, value added (% of GDP)": 1.0280803083, "Central government debt, total (% of GDP)": 216.0623496519, "Charges for the use of intellectual property, payments (BoP, current US$)": 28550217207.2916, "Charges for the use of intellectual property, receipts (BoP, current US$)": 43315520409.1622, "Current account balance (BoP, current US$)": 150028926280.73, "Expense (% of GDP)": 23.6249597464, "Exports of goods and services (% of GDP)": 15.5494225002, "External debt stocks (% of GNI)": "null", "External debt stocks, total (DOD, current US$)": "null", "Foreign direct investment, net inflows (BoP, current US$)": 62584719398.0912, "GDP (current US$)": 5048789595589.43, "GDP growth (annual %)": -4.2786036876, "GDP per capita (current US$)": 39986.9286287091, "GDP per capita growth (annual %)": -3.9965818485, "GDP per capita, PPP (current international $)": 41683.9155842443, "GNI per capita, Atlas method (current US$)": 40870, "GNI per capita, PPP (current international $)": 43200, "GNI, Atlas method (current US$)": 5160300224563.11, "GNI, PPP (current international $)": 5454176946275.29, "Grants, excluding technical cooperation (BoP, current US$)": "null", "Gross capital formation (% of GDP)": 25.2633549157, "Gross savings (% of GDP)": 28.1475108508, "Imports of goods and services (% of GDP)": 15.8185464782, "Industry (including construction), value added (% of GDP)": 28.9935453281, "Inflation, consumer prices (annual %)": -0.024995834, "Inflation, GDP deflator (annual %)": 0.9441974361, "Medium and high-tech manufacturing value added (% manufacturing value added)": 56.9058830475, "Net ODA received (% of GNI)": "null", "Net ODA received per capita (current US$)": "null", "Net official development assistance received (current US$)": "null", "Personal remittances, received (current US$)": 4887784631.45566, "PPP conversion factor, GDP (LCU per international $)": 102.4277}, "2021": {"Price level ratio of PPP conversion factor (GDP) to market exchange rate": 0.9298049446, "Revenue, excluding grants (% of GDP)": "null", "Short-term debt (% of total reserves)": "null", "Technical cooperation grants (BoP, current US$)": "null", "Total debt service (% of exports of goods, services and primary income)": "null", "Total reserves (includes gold, current US$)": 1405748991418.92, "Adjusted net savings, including particulate emission damage (% of GNI)": "null", "Agriculture, forestry, and fishing, value added (% of GDP)": 0.9509095082, "Central government debt, total (% of GDP)": 217.6142239069, "Charges for the use of intellectual property, payments (BoP, current US$)": 29653031447.8851, "Charges for the use of intellectual property, receipts (BoP, current US$)": 48310405302.3973, "Current account balance (BoP, current US$)": 197154455955.774, "Expense (% of GDP)": 21.7418275497, "Exports of goods and services (% of GDP)": 18.2015776714, "External debt stocks (% of GNI)": "null", "External debt stocks, total (DOD, current US$)": "null", "Foreign direct investment, net inflows (BoP, current US$)": 34669239975.5376, "GDP (current US$)": 5005536736792.29, "GDP growth (annual %)": 2.142487369, "GDP per capita (current US$)": 39827.1267678179, "GDP per capita growth (annual %)": 2.6133763096, "GDP per capita, PPP (current international $)": 42833.8513340851, "GNI per capita, Atlas method (current US$)": 43450, "GNI per capita, PPP (current international $)": 44910, "GNI, Atlas method (current US$)": 5461340871047.81, "GNI, PPP (current international $)": 5644756120946.17, "Grants, excluding technical cooperation (BoP, current US$)": "null", "Gross capital formation (% of GDP)": 25.5987984986, "Gross savings (% of GDP)": 29.4849364376, "Imports of goods and services (% of GDP)": 18.7389477543, "Industry (including construction), value added (% of GDP)": 28.7958064674, "Inflation, consumer prices (annual %)": -0.2333527794, "Inflation, GDP deflator (annual %)": -0.2275334409, "Medium and high-tech manufacturing value added (% manufacturing value added)": "null", "Net ODA received (% of GNI)": "null", "Net ODA received per capita (current US$)": "null", "Net official development assistance received (current US$)": "null", "Personal remittances, received (current US$)": 5293894065.13756, "PPP conversion factor, GDP (LCU per international $)": 102.050113}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Price level ratio of PPP conversion factor (GDP) to market exchange rate": {"type": "number"}, "Revenue, excluding grants (% of GDP)": {"type": "string"}, "Short-term debt (% of total reserves)": {"type": "string"}, "Technical cooperation grants (BoP, current US$)": {"type": "string"}, "Total debt service (% of exports of goods, services and primary income)": {"type": "string"}, "Total reserves (includes gold, current US$)": {"type": "number"}, "Adjusted net savings, including particulate emission damage (% of GNI)": {"type": "number"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Central government debt, total (% of GDP)": {"type": "number"}, "Charges for the use of intellectual property, payments (BoP, current US$)": {"type": "number"}, "Charges for the use of intellectual property, receipts (BoP, current US$)": {"type": "number"}, "Current account balance (BoP, current US$)": {"type": "number"}, "Expense (% of GDP)": {"type": "number"}, "Exports of goods and services (% of GDP)": {"type": "number"}, "External debt stocks (% of GNI)": {"type": "string"}, "External debt stocks, total (DOD, current US$)": {"type": "string"}, "Foreign direct investment, net inflows (BoP, current US$)": {"type": "number"}, "GDP (current US$)": {"type": "number"}, "GDP growth (annual %)": {"type": "number"}, "GDP per capita (current US$)": {"type": "number"}, "GDP per capita growth (annual %)": {"type": "number"}, "GDP per capita, PPP (current international $)": {"type": "number"}, "GNI per capita, Atlas method (current US$)": {"type": "integer"}, "GNI per capita, PPP (current international $)": {"type": "integer"}, "GNI, Atlas method (current US$)": {"type": "number"}, "GNI, PPP (current international $)": {"type": "number"}, "Grants, excluding technical cooperation (BoP, current US$)": {"type": "string"}, "Gross capital formation (% of GDP)": {"type": "number"}, "Gross savings (% of GDP)": {"type": "number"}, "Imports of goods and services (% of GDP)": {"type": "number"}, "Industry (including construction), value added (% of GDP)": {"type": "number"}, "Inflation, consumer prices (annual %)": {"type": "number"}, "Inflation, GDP deflator (annual %)": {"type": "number"}, "Medium and high-tech manufacturing value added (% manufacturing value added)": {"type": "number"}, "Net ODA received (% of GNI)": {"type": "string"}, "Net ODA received per capita (current US$)": {"type": "string"}, "Net official development assistance received (current US$)": {"type": "string"}, "Personal remittances, received (current US$)": {"type": "number"}, "PPP conversion factor, GDP (LCU per international $)": {"type": "number"}}, "required": ["Adjusted net savings, including particulate emission damage (% of GNI)", "Agriculture, forestry, and fishing, value added (% of GDP)", "Central government debt, total (% of GDP)", "Charges for the use of intellectual property, payments (BoP, current US$)", "Charges for the use of intellectual property, receipts (BoP, current US$)", "Current account balance (BoP, current US$)", "Expense (% of GDP)", "Exports of goods and services (% of GDP)", "External debt stocks (% of GNI)", "External debt stocks, total (DOD, current US$)", "Foreign direct investment, net inflows (BoP, current US$)", "GDP (current US$)", "GDP growth (annual %)", "GDP per capita (current US$)", "GDP per capita growth (annual %)", "GDP per capita, PPP (current international $)", "GNI per capita, Atlas method (current US$)", "GNI per capita, PPP (current international $)", "GNI, Atlas method (current US$)", "GNI, PPP (current international $)", "Grants, excluding technical cooperation (BoP, current US$)", "Gross capital formation (% of GDP)", "Gross savings (% of GDP)", "Imports of goods and services (% of GDP)", "Industry (including construction), value added (% of GDP)", "Inflation, GDP deflator (annual %)", "Inflation, consumer prices (annual %)", "Medium and high-tech manufacturing value added (% manufacturing value added)", "Net ODA received (% of GNI)", "Net ODA received per capita (current US$)", "Net official development assistance received (current US$)", "PPP conversion factor, GDP (LCU per international $)", "Personal remittances, received (current US$)", "Price level ratio of PPP conversion factor (GDP) to market exchange rate", "Revenue, excluding grants (% of GDP)", "Short-term debt (% of total reserves)", "Technical cooperation grants (BoP, current US$)", "Total debt service (% of exports of goods, services and primary income)", "Total reserves (includes gold, current US$)"]}, "2021": {"type": "object", "properties": {"Price level ratio of PPP conversion factor (GDP) to market exchange rate": {"type": "number"}, "Revenue, excluding grants (% of GDP)": {"type": "string"}, "Short-term debt (% of total reserves)": {"type": "string"}, "Technical cooperation grants (BoP, current US$)": {"type": "string"}, "Total debt service (% of exports of goods, services and primary income)": {"type": "string"}, "Total reserves (includes gold, current US$)": {"type": "number"}, "Adjusted net savings, including particulate emission damage (% of GNI)": {"type": "string"}, "Agriculture, forestry, and fishing, value added (% of GDP)": {"type": "number"}, "Central government debt, total (% of GDP)": {"type": "number"}, "Charges for the use of intellectual property, payments (BoP, current US$)": {"type": "number"}, "Charges for the use of intellectual property, receipts (BoP, current US$)": {"type": "number"}, "Current account balance (BoP, current US$)": {"type": "number"}, "Expense (% of GDP)": {"type": "number"}, "Exports of goods and services (% of GDP)": {"type": "number"}, "External debt stocks (% of GNI)": {"type": "string"}, "External debt stocks, total (DOD, current US$)": {"type": "string"}, "Foreign direct investment, net inflows (BoP, current US$)": {"type": "number"}, "GDP (current US$)": {"type": "number"}, "GDP growth (annual %)": {"type": "number"}, "GDP per capita (current US$)": {"type": "number"}, "GDP per capita growth (annual %)": {"type": "number"}, "GDP per capita, PPP (current international $)": {"type": "number"}, "GNI per capita, Atlas method (current US$)": {"type": "integer"}, "GNI per capita, PPP (current international $)": {"type": "integer"}, "GNI, Atlas method (current US$)": {"type": "number"}, "GNI, PPP (current international $)": {"type": "number"}, "Grants, excluding technical cooperation (BoP, current US$)": {"type": "string"}, "Gross capital formation (% of GDP)": {"type": "number"}, "Gross savings (% of GDP)": {"type": "number"}, "Imports of goods and services (% of GDP)": {"type": "number"}, "Industry (including construction), value added (% of GDP)": {"type": "number"}, "Inflation, consumer prices (annual %)": {"type": "number"}, "Inflation, GDP deflator (annual %)": {"type": "number"}, "Medium and high-tech manufacturing value added (% manufacturing value added)": {"type": "string"}, "Net ODA received (% of GNI)": {"type": "string"}, "Net ODA received per capita (current US$)": {"type": "string"}, "Net official development assistance received (current US$)": {"type": "string"}, "Personal remittances, received (current US$)": {"type": "number"}, "PPP conversion factor, GDP (LCU per international $)": {"type": "number"}}, "required": ["Adjusted net savings, including particulate emission damage (% of GNI)", "Agriculture, forestry, and fishing, value added (% of GDP)", "Central government debt, total (% of GDP)", "Charges for the use of intellectual property, payments (BoP, current US$)", "Charges for the use of intellectual property, receipts (BoP, current US$)", "Current account balance (BoP, current US$)", "Expense (% of GDP)", "Exports of goods and services (% of GDP)", "External debt stocks (% of GNI)", "External debt stocks, total (DOD, current US$)", "Foreign direct investment, net inflows (BoP, current US$)", "GDP (current US$)", "GDP growth (annual %)", "GDP per capita (current US$)", "GDP per capita growth (annual %)", "GDP per capita, PPP (current international $)", "GNI per capita, Atlas method (current US$)", "GNI per capita, PPP (current international $)", "GNI, Atlas method (current US$)", "GNI, PPP (current international $)", "Grants, excluding technical cooperation (BoP, current US$)", "Gross capital formation (% of GDP)", "Gross savings (% of GDP)", "Imports of goods and services (% of GDP)", "Industry (including construction), value added (% of GDP)", "Inflation, GDP deflator (annual %)", "Inflation, consumer prices (annual %)", "Medium and high-tech manufacturing value added (% manufacturing value added)", "Net ODA received (% of GNI)", "Net ODA received per capita (current US$)", "Net official development assistance received (current US$)", "PPP conversion factor, GDP (LCU per international $)", "Personal remittances, received (current US$)", "Price level ratio of PPP conversion factor (GDP) to market exchange rate", "Revenue, excluding grants (% of GDP)", "Short-term debt (% of total reserves)", "Technical cooperation grants (BoP, current US$)", "Total debt service (% of exports of goods, services and primary income)", "Total reserves (includes gold, current US$)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/baf14311-6716-4899-8924-4700deffa9f8/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Economy | Get country economy indicators.
Args:
country (str): The name of the country.
Returns:
The country economy indicators.
Tags:
country indicators | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/b8e6ab02-d954-42e0-9ae0-ffae37b0ddab/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Energy and Mining | Get energy and mining indicators for a specific country.
Parameters:
- country (str): The name of the country for which to retrieve the indicators.
Returns:
- The energy and mining indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/b8e6ab02-d954-42e0-9ae0-ffae37b0ddab/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Energy and Mining | Get energy and mining indicators for a specific country.
Parameters:
- country (str): The name of the country for which to retrieve the indicators.
Returns:
- The energy and mining indicators for the specified country. | 200 | null | {"2020": {"Access to electricity (% of population)": 100, "Alternative and nuclear energy (% of total energy use)": "null", "Electric power consumption (kWh per capita)": "null", "Energy imports, net (% of energy use)": "null", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": 3.19, "Energy use (kg of oil equivalent per capita)": "null", "Fossil fuel energy consumption (% of total)": "null", "Fuel exports (% of merchandise exports)": 1.1892879795, "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)": "null", "Investment in energy with private participation (current US$)": "null", "Ores and metals exports (% of merchandise exports)": 3.1273950813, "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": 8.45, "Time required to get electricity (days)": "null", "Total natural resources rents (% of GDP)": 0.0969972012}, "2021": {"Access to electricity (% of population)": 100, "Alternative and nuclear energy (% of total energy use)": "null", "Electric power consumption (kWh per capita)": "null", "Energy imports, net (% of energy use)": "null", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": 3.29, "Energy use (kg of oil equivalent per capita)": "null", "Fossil fuel energy consumption (% of total)": "null", "Fuel exports (% of merchandise exports)": 1.3510588866, "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)": "null", "Investment in energy with private participation (current US$)": "null", "Ores and metals exports (% of merchandise exports)": 3.5042884597, "Renewable electricity output (% of total electricity output)": "null", "Renewable energy consumption (% of total final energy consumption)": "null", "Time required to get electricity (days)": "null", "Total natural resources rents (% of GDP)": 0.0473044628}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Alternative and nuclear energy (% of total energy use)": {"type": "string"}, "Electric power consumption (kWh per capita)": {"type": "string"}, "Energy imports, net (% of energy use)": {"type": "string"}, "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": {"type": "number"}, "Energy use (kg of oil equivalent per capita)": {"type": "string"}, "Fossil fuel energy consumption (% of total)": {"type": "string"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)": {"type": "string"}, "Investment in energy with private participation (current US$)": {"type": "string"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "number"}, "Time required to get electricity (days)": {"type": "string"}, "Total natural resources rents (% of GDP)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Alternative and nuclear energy (% of total energy use)", "Electric power consumption (kWh per capita)", "Energy imports, net (% of energy use)", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", "Energy use (kg of oil equivalent per capita)", "Fossil fuel energy consumption (% of total)", "Fuel exports (% of merchandise exports)", "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", "Investment in energy with private participation (current US$)", "Ores and metals exports (% of merchandise exports)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "Time required to get electricity (days)", "Total natural resources rents (% of GDP)"]}, "2021": {"type": "object", "properties": {"Access to electricity (% of population)": {"type": "integer"}, "Alternative and nuclear energy (% of total energy use)": {"type": "string"}, "Electric power consumption (kWh per capita)": {"type": "string"}, "Energy imports, net (% of energy use)": {"type": "string"}, "Energy intensity level of primary energy (MJ/$2017 PPP GDP)": {"type": "number"}, "Energy use (kg of oil equivalent per capita)": {"type": "string"}, "Fossil fuel energy consumption (% of total)": {"type": "string"}, "Fuel exports (% of merchandise exports)": {"type": "number"}, "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)": {"type": "string"}, "Investment in energy with private participation (current US$)": {"type": "string"}, "Ores and metals exports (% of merchandise exports)": {"type": "number"}, "Renewable electricity output (% of total electricity output)": {"type": "string"}, "Renewable energy consumption (% of total final energy consumption)": {"type": "string"}, "Time required to get electricity (days)": {"type": "string"}, "Total natural resources rents (% of GDP)": {"type": "number"}}, "required": ["Access to electricity (% of population)", "Alternative and nuclear energy (% of total energy use)", "Electric power consumption (kWh per capita)", "Energy imports, net (% of energy use)", "Energy intensity level of primary energy (MJ/$2017 PPP GDP)", "Energy use (kg of oil equivalent per capita)", "Fossil fuel energy consumption (% of total)", "Fuel exports (% of merchandise exports)", "GDP per unit of energy use (constant 2017 PPP $ per kg of oil equivalent)", "Investment in energy with private participation (current US$)", "Ores and metals exports (% of merchandise exports)", "Renewable electricity output (% of total electricity output)", "Renewable energy consumption (% of total final energy consumption)", "Time required to get electricity (days)", "Total natural resources rents (% of GDP)"]}}, "required": ["2020", "2021"]} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/bd5d23b6-c8c6-4b52-8067-c692f861c948/0/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Basic Indicators | Get basic indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The basic indicators for the specified country. | 422 | null | {"detail": [{"loc": [], "msg": "", "type": ""}]} | {"properties": {"detail": {"items": {"properties": {"loc": {"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]}, "type": "array", "title": "Location"}, "msg": {"type": "string", "title": "Message"}, "type": {"type": "string", "title": "Error Type"}}, "type": "object", "required": ["loc", "msg", "type"], "title": "ValidationError"}, "type": "array", "title": "Detail"}}, "type": "object", "title": "HTTPValidationError"} |
53f8bce4-90f1-4c35-83bf-26e4f474164c/bd5d23b6-c8c6-4b52-8067-c692f861c948/1/0 | CountryStats Database | Your Ultimate Source for Global Insights
CountryStats Database API is your one-stop destination for comprehensive country information and indicators, making it the unrivaled choice for developers, businesses, researchers, and policymakers. We aggregate publicly-available data from a diverse range of sources, including national and international statistical institutions, researchers, private companies, World Bank, International Monetary Fund, International Labour Organization, Wikidata, and m... | 7.2 | Basic Indicators | Get basic indicators for a specific country.
Parameters:
country (str): The name of the country.
Returns:
The basic indicators for the specified country. | 200 | null | {"2020": {"Population, total": 126261000, "Population density (people per sq. km of land area)": 346.3950617284, "Surface area (sq. km)": 377974, "GDP (current US$)": 5048789595589.43, "GDP per capita (current US$)": 39986.9286287091}, "2021": {"Population, total": 125681593, "Population density (people per sq. km of land area)": 344.8054677641, "Surface area (sq. km)": 377974, "GDP (current US$)": 5005536736792.29, "GDP per capita (current US$)": 39827.1267678179}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"2020": {"type": "object", "properties": {"Population, total": {"type": "integer"}, "Population density (people per sq. km of land area)": {"type": "number"}, "Surface area (sq. km)": {"type": "integer"}, "GDP (current US$)": {"type": "number"}, "GDP per capita (current US$)": {"type": "number"}}, "required": ["GDP (current US$)", "GDP per capita (current US$)", "Population density (people per sq. km of land area)", "Population, total", "Surface area (sq. km)"]}, "2021": {"type": "object", "properties": {"Population, total": {"type": "integer"}, "Population density (people per sq. km of land area)": {"type": "number"}, "Surface area (sq. km)": {"type": "integer"}, "GDP (current US$)": {"type": "number"}, "GDP per capita (current US$)": {"type": "number"}}, "required": ["GDP (current US$)", "GDP per capita (current US$)", "Population density (people per sq. km of land area)", "Population, total", "Surface area (sq. km)"]}}, "required": ["2020", "2021"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/0c2e283f-12df-4bad-bf78-dee8c6c9dbb5/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Related Articles | Returns a list of article_ids of the related posts. (Length = 4) | 200 | Response | {"related_articles": ["cbcf4f4ddb79", "f393206c6626", "9933fe7c3c26", "ef71f9c8aad8"], "id": "67fa62fc1971"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"related_articles": {"type": "array", "items": {"type": "string"}}, "id": {"type": "string"}}, "required": ["id", "related_articles"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/f94bcca5-ceb8-4678-988c-ae9e48b7ecd6/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User Lists | Returns an array of list_ids created by the user. | 200 | Response | {"user_id": "5142451174a3", "lists": ["95b41261bee0", "321cfd9966ec", "24356f9a9c6e", "e8b1c393bcff", "4ecdbfd97d05"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"user_id": {"type": "string"}, "lists": {"type": "array", "items": {"type": "string"}}}, "required": ["lists", "user_id"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/a4222f9c-81ba-4c8a-b6ea-a6816aedefc0/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article Fans | Returns a list of user_ids of the people who clapped on the article. | 200 | Response | {"voters": ["5902bb648651", "fa40650a485", "bd3401878b93", "8b2442adc5ec", "68c535034b9a", "7f9022b31b2a", "c4439b2e0adc", "1685d4ddfc1e", "c73bff958866", "fe7a0e6b99d2", "e42292d36189", "d1741ab06ac", "3f95d5787eeb", "cc96d264d232", "32f45e308a88", "566705a8f465", "26f699a994a", "a28e6c477cc8", "1fdf1ec260a2", "a1abc575c541", "e6301c035ca", "4c34b41c77d5", "20cd762efc50", "564aefe00a22", "56b05977cee3", "1c12808dd75", "3f3c9d2f3167", "987e42366d19", "efa5d7e55ac6", "88e5a353b305", "fda89fc6b34f", "6daa16423c79", "6b7a7700f275", "9ed58b320a17", "766f5a18d713", "5c2fb7c0ef67", "5d41f0a85642", "97ba3e384e95", "68a325960ce4", "81bd5bfc3cb5", "8e8450c4238d", "405d97254771", "b0d584cfd895", "4da04c1e49df", "55e1042df44a", "293d1559f4c2", "a2b600a0cf25", "d1306f6e6e7d", "f2c4194a6bd1", "def64349b55f", "dfd0edd2cde5", "263f0e59ea39", "fdaa0a92e5b9", "6b775dd37806", "c84d0210fb0b", "e81bfa53049d", "4f739132084f", "202781bfd468", "2da458072ba0", "5295e5515bb1", "c9dfd9bf355", "170f34cd9c76", "48e44d53c5a3", "b1f214c06d3e", "41468b982786", "3c6a7d5d3640", "7ef5ea4c4642", "2dd4cb7d1df7", "4c3954a88def", "79d284c98f9a", "acf3c4d1ad06", "15b79834fe55", "e958d1a7c76c", "d78d26e6630f", "432d8922b002", "351bd46efa5c", "71e08507722e", "f01ece0450e3", "c11cb2a0e051", "828087edc033", "86eb22563ca3", "21c4baa8c1ac", "f03c49c7beb9", "2051cb73feed", "5619f5c59a30", "13e2aec52631", "f499bb1a9b85", "f55824d5f4b0", "f94aaf19e604", "98c59b89761a", "2507681fa0e5", "38942ca849eb", "f36d3e69749d", "ef360debf367", "1b6c2f8cc629", "a3238b24a334", "3551c3b1112d", "2634634a3505", "b2676483d419", "7247e813cc", "bdf387d7e3b5", "94bdb2bd9151", "f9158ca11a43", "be8df91e8092", "5f1cddaf4a3a", "6f275e28f9b9", "8e7c3acdd20e", "eb6468a3f25", "49c4da4fab6", "2de89915a7c3", "711db9270a71", "163681304c23", "4e8f96934251", "c05e2d297aa3", "22a48db32183", "4a12f3ad7ef7", "22ebbfb9c843", "9671b8342127", "44bc27317e6b", "db5332d5ab7a", "182ce0332a4f", "daf2d88f374", "5e5afc60edd1", "ebcc68e34d9d", "732c2471cfae", "40714a152657", "105e6602fb79", "9049a2aeeed7", "5c868c40acb6", "5b49ff83b7a4", "ee94677f7a21", "9596c3d9ab78", "f03883fbae56", "25d767561932", "aea8a19ea239", "4c57bfa51916", "e311695b2fa", "f95068eb3038", "b3d8bd3e61ba", "2739e3c67d12", "2e76f0c4e439", "a5152258f92d", "f5bf6fcc498b", "435022203ae9", "f508bc528258"], "article_id": "67fa62fc1971", "count": 145} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"voters": {"type": "array", "items": {"type": "string"}}, "article_id": {"type": "string"}, "count": {"type": "integer"}}, "required": ["article_id", "count", "voters"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/dd38db75-9e6d-4285-ba25-36eaa4934561/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article's HTML | Returns the plain HTML of a Medium Article, for the corresponding article_id | 200 | Response | {"html": "<html lang=\"en\"><head><title>4 Types of Luck \ud83c\udf40</title><meta charset=\"UTF-8\"><meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\"><meta name=\"viewport\" content=\"width=device-width initial-scale=1.0\"><meta name=\"description\" content=\"Blind Luck\u200a\u2014\u200aTotally random, where you\u2019ve absolutely no control over it.\"><meta name=\"keywords\" content=\"psychology, life-lessons, philosophy, self, self-improvement\"><meta name=\"author\" content=\"Nishu Jain\"><meta property=\"og:type\" content=\"website\"><meta property=\"og:title\" content=\"4 Types of Luck \ud83c\udf40\"><meta property=\"og:description\" content=\"Blind Luck\u200a\u2014\u200aTotally random, where you\u2019ve absolutely no control over it.\"><meta property=\"og:image\" content=\"\"><meta property=\"twitter:card\" content=\"summary\"><meta property=\"twitter:title\" content=\"4 Types of Luck \ud83c\udf40\"><meta property=\"twitter:description\" content=\"Blind Luck\u200a\u2014\u200aTotally random, where you\u2019ve absolutely no control over it.\"><meta property=\"twitter:image\" content=\"\"></head><body><div class=\"blog\"><p><b>4 Types of Luck \ud83c\udf40</b></p><ul><li><b>Blind Luck</b> - Totally random, where you've absolutely no control over it.</li><li><b>Hustle Luck</b> - This is where you put too much energy into the world, make some noise and shake things a bit, consistently. In turn, things start to happen around you.</li><li><b>Spotted Luck</b> - You become so good in your field, with a rock solid knowledge base, that you become sensitive to luck. Either consciously or subconsciously, <b>you find luck,</b> or go to places where you've high probability of being lucky.</li><li><b>Magnetic Luck -</b> Here, you become the best in your field and <b>luck finds you</b>. Example\u2014 <i>Someone finds the location of a treasure chest deep into the ocean, and you happen to be a world-class scuba diver. Since they cannot extract it by themselves, they ask for your help in exchange for some percentage of treasure. <b>So their luck becomes your luck.</b></i></li></ul></div></body></html>"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"html": {"type": "string"}}, "required": ["html"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/97467459-eb07-487d-9c87-0883cbf027a9/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get List Responses | Returns an array of response_ids (same as article_ids) on the given Medium List. | 200 | Response | {"responses": [], "id": "3d8f744f5370"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"responses": {"type": "array"}, "id": {"type": "string"}}, "required": ["id", "responses"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/3644f6f0-7b4d-4094-a2e2-4e9aad950fbd/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get List Articles | Returns an array of articles_ids present in the given List (Medium List). | 200 | Response | {"id": "3d8f744f5370", "list_articles": ["9f6916bcf57e", "a0df80914f05", "bdf1e20e56f9", "2a6d0f12589b", "452479123e3c", "1ca605731de4", "37dff617306f", "b5775c7e410d", "a3bdee0fbe49", "609ff4379c86", "d43d18001abb", "3b79ff436b63", "f0f9426ef797", "9f3b2f78c22e", "e97abf340c7f", "8175482697da", "2b14ba3fb608", "4d709772bc00", "dafc775d45f9", "f96b6e8c40e5", "c6af249a694b", "91193f476bd", "879869cc370b", "efc562bb326a", "225ed2c33c3d", "67b840f6fd86", "bb7d1c7320e2", "76630da262a3", "e07a231cd976", "af1e06466037", "1c6b5586675e", "ee3ad0389040", "cbc4754a0700", "eaacac92d3ed", "aa6e5e1c5c4", "7783d6d2b859", "b2c03484cf27", "bc89cf35c80f", "d653d71c6737", "b15c9f591c9d", "1f72efdcc72c", "f005fc2685ca", "5be23f859b4c", "92d67cee5369", "d3461cb651d", "ec5ff404dae9", "fb58594de8e6", "74f3f31ba84a", "f4e7d8580791", "36394c97bb97", "840e90a2ae97", "942c162cf1a8", "122df6976dfa", "fe1ec8d59c42", "d7a20ae4cf36", "715dda13f564", "cc10653e8196", "58c93e6ae03f", "26bc66d4be8b", "42444192a99c", "c3ff064ad8cd", "9ab57c29527e", "edfe9d45475", "aa96ecccc9b7", "b88b63c43fc2", "2e1cde8be608", "1a0f95c138da", "ae7a14de2ef9", "24627e66ea7c", "647ff025c2b1", "dbcf29eb0b7c", "7f931db3d0", "575b78545719", "d5d602ad21aa", "b62d5ecfc84", "7974c7322540", "7dc3edeb0742", "866aeea6b01e", "41419e87bbdb"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "string"}, "list_articles": {"type": "array", "items": {"type": "string"}}}, "required": ["id", "list_articles"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/104dfdd0-9703-410a-b034-3716033f5ac5/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get List Info | Returns the list-related information such as Id, Name, Author, Description, Thumbnail Image URL, Creation Datetime, Last Modified Datetime, number of articles in the list, claps, voters, and comments. | 200 | Response | {"created_at": "2023-04-04 18:06:15", "count": 87, "id": "3d8f744f5370", "name": "Startup", "claps": 3, "responses_count": 0, "description": "None", "voters": 1, "thumbnail": "https://miro.medium.com/0*24285f5b8ea5d9f52d5c94421d68ddf5dc40ad22.jpeg", "last_item_inserted_at": "2023-06-13 17:36:10", "author": "771b2784ce6a"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"created_at": {"type": "string"}, "count": {"type": "integer"}, "id": {"type": "string"}, "name": {"type": "string"}, "claps": {"type": "integer"}, "responses_count": {"type": "integer"}, "description": {"type": "string"}, "voters": {"type": "integer"}, "thumbnail": {"type": "string"}, "last_item_inserted_at": {"type": "string"}, "author": {"type": "string"}}, "required": ["author", "claps", "count", "created_at", "description", "id", "last_item_inserted_at", "name", "responses_count", "thumbnail", "voters"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/51fb9de2-bcd1-457f-997c-f526a0ec7ad1/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article's Content | Returns the content of an article/story from Medium, for the corresponding article_id | 200 | Response | {"content": "About Me :) - Nishu Jain\n\nWho am I and what do I do \u2026\n\nNishu Jain\n\nHey there!\n\nI\u2019m Nishu Jain: A geek, cursed with little creativity.\n\nProfessionally, I\u2019m a Software Engineer who likes to play with data, algorithms, and especially, Artificial Intelligence/Deep Learning.\n\nI speak mostly Python but, have polyglottic tendencies. I believe in developing real-world products for people like you and me.\n\nAnd apart from being a full-fledged Tech-Geek, I\u2019ve got a few real hobbies \u2026 like -\n\n~ Reading & Writing\n\nAs you can see, I\u2019m writing on Medium \u2026 da?\n\nSometimes, I do freelancing as well. So if you\u2019ve something interesting for me, ping me on Fiverr. I\u2019ll be happy to talk to you.\n\nOn Medium: I like to write about Technology, Business, Psychology, Philosophy, etc\u2026 And from time to time, I tell short stories too and talk about art and stuff.\n\nSpeaking of which, I also do \u2026\n\n~ Sketching\n\nYeah! I love the world of Art and I make it too - Wanna see my artwork?\n\nhttps://www.instagram.com/sketchscrolls\n\nLiked my work? \ud83d\ude2e\n\nConnect with me on Instagram. (username: sketchscrolls)\n\n~ Playing Piano\n\nIt\u2019s kind of a new thing for me and I recently picked it up.\n\nI\u2019ve uploaded a few pieces on my personal Instagram account (username: one_anachronism).\n\nCurrently, I\u2019m trying my hands with western classical music and few anime openings (don\u2019t call me Otaku yet). I\u2019ll soon upload some serious performance as well \u2026. so till then, stay connected! ^_^\n\nTopics that interest me -\n\nTechnology, Programming, Designing, Investing, Business, Economics, Art, Psychology, Mathematics, Physics, Music, Mythology, Linguistics, Philosophy, Etymology, etc\u2026\n\nAll in all \u2026\n\nI\u2019m kind of a jack of all trades but, master of some - And I\u2019m proud of it.\n\nInstead of spending my life doing some sort of specialization, I would rather learn different domains, and try to fuse them together.\n\nI would rather add more dimensions to my personality, acquire more skills in my arsenal, and mix a little flavor in my life - than be living in a monochromatic world.\n\nAnd don\u2019t confuse my polymathic trait with a lack of dedication. Because, when I\u2019m in my \"research mode\", you\u2019ll have a pretty hard time surpassing me. I consume information like a sponge, process it like a machine, and try to see the bigger picture like a sage.\n\nThat\u2019s who I am. (Hope I piqued your interest)\n\nEnough about me! Let\u2019s get in touch\n\nGive ME a chance to know you. Shoot me an email\u2014\n\[email protected]\n\nOr directly message me on Twitter \u2026 Or LinkedIn or whatever\n\nLinkedIn: https://www.linkedin.com/in/supersanskar\n\nTwitter: https://twitter.com/one_anachronism\n\nInstagram: https://www.instagram.com/sketchscrolls\n\nGitHub: https://github.com/weeping-angel\n\nFiverr: https://fiverr.com/nishu_jain\n\nHopefully, we can do something awesome together!\n\nHave a nice day.\n\nPS: I go by the name Sanskar Jain as well. Nishu is just my pen name!\n\nIf you enjoy reading stories, then I\u2019m sure you would love to be a Medium paying member. It\u2019s only $5 per month, and you\u2019ll get unlimited access to thousands and thousands of stories and writers. You can support me by signing up using this link, and I\u2019ll earn a small commission that will help me grow and publish more stories."} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"content": {"type": "string"}}, "required": ["content"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/54e5e57a-aa68-4cf3-859f-4667c1b6a03a/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Related Tags | Returns a list of related tags for any given tag.
Example: For tag blockchain, it will return 'cryptocurrency', 'bitcoin', 'ethereum', 'crypto', 'ico', 'technology', 'defi', 'nft', 'fintech'. | 200 | Response | {"given_tag": "blockchain", "related_tags": ["cryptocurrency", "bitcoin", "ethereum", "crypto", "ico", "technology", "defi", "nft", "fintech"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"given_tag": {"type": "string"}, "related_tags": {"type": "array", "items": {"type": "string"}}}, "required": ["given_tag", "related_tags"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/172286ab-a2f8-4420-9ebf-0c702b6f7d77/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Tag Info | Returns tag-related information.
Name
Followers Count
Number of stories
Number of writers
Number of latest stories
Number of latest writers
| 200 | Response | {"tag": "artificial-intelligence", "latest_authors_count": 320, "latest_articles_count": 480, "articles_count": 234677, "authors_count": 88177, "name": "Artificial Intelligence", "followers": 1581563} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"tag": {"type": "string"}, "latest_authors_count": {"type": "integer"}, "latest_articles_count": {"type": "integer"}, "articles_count": {"type": "integer"}, "authors_count": {"type": "integer"}, "name": {"type": "string"}, "followers": {"type": "integer"}}, "required": ["articles_count", "authors_count", "followers", "latest_articles_count", "latest_authors_count", "name", "tag"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/f1ba5fe4-5279-4e4e-9789-c5cf33058e23/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Latest Posts | Returns a list of latest "curated/distributed" posts (article_ids) for a topic/niche (as classified by the Medium platform). Example of a topic/niche can be:
- "blockchain"
- "relationships"
- "mental-health", etc ...
These are known as topic-slugs. At any given moment, this endpoint will return a list of 25 articles (article_ids). | 200 | Response | {"latestposts": ["741fba1e71a6", "8ddf02b1f8b9", "299a8051cb30", "e0ae5071bcbe", "9a36511c832", "76453e16cbd7", "e35e3f2f9122", "d44ce898dc0f", "a9376dac046f", "656551b58c5", "5196bb1f3e24", "b2568ebdec40", "aacd9829d1d", "f689af210794", "ef39ecc74e27", "6eebdee2b069", "cdc85bc1c176", "d513d63ec0e", "5d75a0c76c9c", "2ee4d99c52f3", "e8d162b08da8", "a6659a376185", "c5b4e30a9160", "7b073b30fb95", "7b854dc04c45"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"latestposts": {"type": "array", "items": {"type": "string"}}}, "required": ["latestposts"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/f7b5ea6f-a06a-4f06-ac27-5ae3c786a416/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Top Writers | Returns a list of top writers (user_ids) within a particular topic/niche (e.g. "blockchain", "relationships", "artificial-intelligence").
Note: You can use count query string parameter to limit the number of results. The maximum number of top writers within a topic/niche will be 250. | 200 | Response | {"top_writers": ["e43895122f94", "819323b399ac", "5d33decdf4c4", "39db050c2ac2", "7ba6be8a3022", "2cf6b549448", "76398be9016", "aff72a0c1243", "fba05660b60f", "3d8bf96a415f", "347f98a33904", "aea8a19ea239", "948cf3f4f36c", "56f43ec01c1e", "b856005e5ecd", "86f03cf61226", "6a8c6841e521", "2b9d62538208", "564d903af5a2", "593908e0206", "b0fbe613be9d", "960feca52112", "46674a2c9422", "484e02c96aa7", "d4ec90760d5b", "f90a3bb1d400", "be743a65b006", "d3c270f2cefd", "7cc87df5b1", "96695e08553b", "db7e3098d593", "5ae81fea7851", "8022b1c716d6", "24f5f16be697", "adb0e108a94b", "f34bfe2bbaec", "159cf1feb0b7", "b020b149fc2d", "a626bcbe69f9", "d2e6816bf92a", "5244b970029b", "3a38da70d8dc", "502d63083812", "1091fd850a2e", "6d3244e0bdcd", "5372db97c9da", "cc9b2dac6f8b", "42bbe707824c", "76f234261155", "f1a08d9452cd", "e08b7bd233d8", "1cac491223b2", "59564831d1eb", "218fd2fbdd9", "2415c881fd51", "48468ad334bd", "31b07253bc35", "d28939b5ab78", "ae1ea379dbce", "c53baddd7eb7", "6839bfdfd8e2", "63722c42557f", "1038cf2d79d", "b1f214c06d3e", "589bfe5a62ed", "5f65fbd0c6d", "ec7aed1f3ef1", "81602538a642", "42c027aeeeb1", "c821ffaf8c99", "12122c89a280", "ca03ad7acee3", "6202cb40e768", "b5cbb779640e", "a4ca97286fc7", "7e70272caaf0", "b8c444326428", "19c8a8dc5151", "2a74f90399ae", "6921e0d978a2", "3a937eca6ac2", "73a28d919b77", "e73493c985f8", "80500e7b35a1", "4b754073b351", "a860473e9b0e", "a55fe9f18283", "6ce09626f2c0", "af8dcba4ae31", "d6a780e953ea", "19bc376db93c", "975cce2b2ca4", "1a02447fe0ee", "7efc34e7115d", "4fa09a8333b2", "bd71e51a1f57", "b109addee8b7", "1c14b0a0fb8d", "5a206a1caae6", "5ea5fc6a4cea"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"top_writers": {"type": "array", "items": {"type": "string"}}}, "required": ["top_writers"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/5386ef92-91fd-4e9c-bb65-a10394c65052/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Search Publications | Returns the list of publication_ids for the given search query results. (Max Length = 1000) | 200 | Response | {"search_query": "mental health", "publications": ["8d6b8a439e32", "b224b324ef5", "efea2976ffad", "de4b53c10bc7", "2dedf1e9c066", "d1c54e7b78e2", "14b51ced1b92", "4479ee3a8306", "6b598c326afa", "f1cb0af385f", "203d841eb0fe", "135a6fdcc5a9", "e67b0daf66fa", "d2129120c4", "7debdac7d2c2", "654e8d1cfc3f", "6d6cd0c2b084", "37ca5cf3ffea", "919a90e8691c", "55e558641533", "302a70d19ba1", "90af17045a78", "5274cf23cf70", "e0f1c3edffa2", "76004fa915cb", "fb88fca3cc6c", "7097752c9303", "8627fe69a23d", "31deeb5ca8d1", "6e6512ca1e3", "6dc67c4ce961", "6c254f8c31d9", "45748ed3c0fe", "b6d1f037bcbe", "ce9902f179c9", "bdd04a66820c", "4574e769e72d", "c9250fe1c62a", "2c630353c2b3", "9239ba451cbb", "c976f72ef156", "5de216d9c20", "2106093274eb", "923ce0fa42e0", "4ad1cec225fa", "94590ffebbc3", "276e8a7e2db9", "b1452147f73b", "14df43e9a65c", "d1741188eafe", "111efccbc81e", "f77fb55840d8", "477f6906cb7e", "761a188061fa", "2caf646cae88", "cd43d809faf0", "4825d1313f2f", "a8d0e44d38b6", "80cbd8170d8f", "d9fc03f8d6fd", "f1fc94d317b9", "a36bbc173bc3", "91c429900a54", "510c9ec814e", "d423878a9b29", "fbeb8faa40a", "f0b3b080a72c", "a0af201841da", "76dddbf79e28", "b733eb7047c8", "4e2d7c59db0a", "3a9e883e614a", "d97a87b888f0", "64f732a36d0d", "a4ae23e394a4", "147fb596be10", "94bb107ead96", "c6bf7a99864a", "9802e138aa02", "aa0677822428", "ef002b7468d0", "ee6da26d3f15", "92124e60411", "93e0e2c4d5f6", "e3d3ff24f821", "530f874044b1", "ba343ede4261", "f8aec01e7cd", "1f237e366c0a", "57df22bdd3b4", "6c29d5818ec6", "a6d76747ace7", "1c1fdf3c2743", "77bb17711f67", "fdcf0b845461", "24fa1e165370", "572eaaa95e6c", "dbf255faa7bc", "5bc82795fb87", "e338f3ebc6ee", "70306567a670", "a029be1d1ba0", "b74302f703f2", "fdf841a983f4", "7f5e7ec0e784", "cda4f6a01cbf", "cbdeaeb25627", "528f172895c1", "4629033aa105", "f4d3557c65de", "a2b5ffc4cd0f", "a11718c6b53e", "aa41163e93d3", "3ba9df1926ae", "e2bf159f08c2", "a5b502e848b8", "5b08463cf03b", "fd9e5f302d1", "b35f90dc1e3b", "257816cc8434", "540a0cb6d285", "caf01c943116", "ccda03a180a3", "7bc7a0b84a75", "3d5d1a3bd6b1", "9ac25b5626d4", "49fa0d837956", "db517d2813ca", "40f6ef4435b2", "92fe4d5e59be", "f40866f7411d", "821af239de", "263c43aee6db", "165c0cf72b59", "488385ae4d79", "8d0150ef3556", "2ed3dc79ff23", "fdf7f9d5fca9", "e2da4726550f", "b081f1452044", "5e2191caf4fe", "4acd5d614a5e", "e57eafcce9da", "6b744d240a55", "55f493a37f86", "a32fdab526f1", "dd9d5bac9648", "7076eaf5ca9c", "b50d47f007d9", "8364e6462767", "1867f6887c31", "bbb57468ec8b", "b0bfde49c540", "d728e7fbc59d", "72063cc81b82", "4bacab10730", "7b6d3fe3942a", "75b4e4a8ed3e", "c368e888c5cd", "dd24ecac7717", "6227d28e140f", "8ebc1d799387", "68bd4ba2c321", "4da12b1cf57d", "6d2bf1bbf6b9", "a38e2fee7d94", "5e8e74191cfe", "33f62d3bdcac", "f6df3e83cdee", "3e608be3ce8a", "e21b8a86318e", "4f61dafd8be", "6f1752aa4723", "59d040df2dd8", "5f42a0f1357a", "35a5fb1b5589", "426280c99b48", "426cba49c030", "e873e5b82513", "beee9e9d2fd3", "30035d083b17", "c3044e426132", "7c7c10e1ca20", "e5b4e81f3020", "5452f8818f36", "e1111b0a6ee9", "6578cc8aac38", "1e00462646ea", "1bd7ba7dd67c", "91778fd385a", "3f9349f6393d", "521731fb3295", "6740f3f6cf27", "b379c96a3df4", "4b54b3287123", "a1da6e4bd2b8", "209d04bece95", "8cd62c4f72e6", "f7028ff19a53", "f3a6c4ac913b", "5a35082f8d74", "2f93b6c42432", "9a6f49cc35c4", "b638dfc6e553", "fb901bb9eb3e", "5dad122e30b1", "dc4162e07b7c", "3324d4b272b7", "ddeba8b80671", "be132bc7e578", "d0f4a80d8268", "78fdf3647417", "ae564d138af4", "28e4b1d58919", "5b32100734c9", "d3fc7ecdee18", "9b8478d59bbc", "50d4ebbc22a0", "df967285756b", "8ff401c2f199", "d8a1d2be9a65", "d83bb4f65e46", "5bf3da4930d9", "5435f9df326c", "6df9d7209c3c", "2f30d0785298", "3c202184b642", "5a59bad48d4f", "71c81d62cda9", "7566337cb130", "7a87ceb2cfb7", "2a6d336d7235", "ad9bc3e64b90", "1820cb1f8bc2", "34ec000aff80", "50339b8a8bfc", "680e87beebbd", "4e58a10b45c", "2c9b720bc45b", "e20caef325a9", "3a966fb32f8d", "713d878c706f", "4f8b8ecd6bf4", "e1b38f47fc1c", "1236f92401a", "abc5a441faed", "76796ea18fcd", "3004160c3650", "97adcf71b7bf", "e20f77b5d8a6", "d9329ae1f74b", "dbe9acfe2e2b", "9473db4e9039", "3a5efd35eacc", "65b90c06d25c", "f146490016ad", "e37b2634f611", "af8f9c5821da", "2a4a120f28b2", "696b1930a4ce", "da3c7a3494a1", "e1c330ab796", "3fed654797d", "6eef1acc82b", "8207ae77cbc6", "98f9969fa2fe", "1c2cbdbb5574", "371ab2e706f1", "9e79d2304083", "a369608e5d64", "7b637b4e599f", "e6e3816d3328", "d720e45e1d56", "130ce2483891", "fffc7a29d726", "175dd75198e7", "7733cf791552", "d63366e31f37", "2a37a7247da2", "8d38af982755", "14f438dccad3", "3b589f5ffd7", "cf4282cf1eb8", "1e8da44cb0ff", "773d026d79b6", "5f0d34770481", "fcfb15ef4fad", "b1f892b83986", "f6f7b8e7a20d", "bd8ae5301a13", "ebf04dbcb6c8", "af45e1dbf500", "2273e644b148", "f8a09429fbed", "e7b7eea9b915", "67f4db3f8598", "ff0bf3edd3cc", "6d388fb015d3", "40f5b74613b8", "542aa78168ab", "ece96e8f2bab", "bc943d1663df", "ffa294a2af67", "fa8c607ea05e", "ae09cb474382", "6c00909ff7c6", "4d7dd07c5ea0", "81aae4ee735b", "9865cf3de3d", "3685ccb214df", "b6599ffffee3", "ae945ab20726", "efcb6c7ad25b", "2aaf583d8760", "a2c78e8a4784", "c9375580ec16", "fb3e7d553288", "d2e9c2195951", "78233dfc7519", "1cac940e304f", "dd82d7d5cd87", "a4d7dfd1e3af", "a19968886eda", "6b07560c2dfb", "e475821fa4a1", "d665af0794b", "6e2031b1481e", "f12dd1f3a2e5", "e50b74e9b75d", "6b45c3996aea", "8e3de3539d04", "d9dac691f3ed", "d739ca48500a", "e463cf77be46", "ff9434559cca", "92e3008d3565", "7210f36f4253", "5e8e597f94a2", "91df96b225ec", "534ff3f7202e", "937013d69be4", "596d37e885ac", "c28c671772c2", "408b21af208e", "6bc86cd77a62", "d9692a4efb8b", "f3d962612d3b", "dfd1fa86c65f", "3e4ce933c33d", "8f4219e82e3c", "d6354d1ca74", "33a6ea5ab6ed", "b7d4f5dd6bcb", "917d540820d0", "82615ff10f56", "cdc075c49b53", "da77afb7f3ce", "8169ea8763ab", "410be4c1e615", "66dc43103422", "7a56a6416f10", "222b2904380b", "b343e0ece0f3", "bafc647eb76d", "bfc9bb2f5c00", "4b8cf010f186", "3c6feeb6dbc2", "ac7659ece7c7", "5477839d1b8e", "3a42fc7b5a72", "6c162be05a8f", "6d051cc05e34", "40823f57c238", "d178e79a8eb3", "9cebdff1f7", "490f469843ba", "a377ecd0033", "2d1a9e8c1227", "6beb4779712e", "1e8936506de3", "9c5c19b351ca", "bfc261f77f9f", "77ced74a9ac3", "af9f4c344033", "8532c16663ec", "b3d8653b8b2b", "5196beef8131", "201ea6153092", "5c5a4e266cde", "2f95d3d4d128", "45c151944c47", "5c79084f4ccb", "e122710f88f3", "445b09e7b7b1", "35e90a5843aa", "3270ce18385", "a697f270045a", "e067e3d4b2e", "58b9539898be", "7fd81b65c592", "d58b8d24cb84", "cbfee026e9a1", "d35c401406f", "1176e7221e33", "c498bbb75be3", "306d256485e7", "99411ace2309", "3471705b7ae2", "724ebee21c10", "6f4387890547", "5cbcbe060028", "664a92fe36dd", "d61197082833", "183fc0923356", "cd3d1afd80d5", "273bb861c694", "b32af652af0a", "910c61ba5245", "c53cd6ef80d7", "67c2007d8482", "bb557e049a67", "dc908d351d78", "9ab26dfbd330", "7efda612a785", "6578aa219cb1", "f8a2df211944", "d8f56b98f736", "edf9c43d1caa", "e7e87efea14b", "5ea04f853efc", "97b35713652f", "c283b5cd5163", "5c8c9a82fca", "6a4df660c415", "845bf4be8b4b", "f11fc92ebef2", "99ad71b115b3", "687f8bbc7379", "6e83112797a4", "1639f070ba58", "60de86aa3cf0", "2f1c416a90d3", "4cb9e2ce57a4", "f9be5d7cd91a", "f2005fec3af1", "ebd094460aae", "20d96defe010", "3ce111c39b7d", "f126f1eb1918", "70c3458c3aff", "ea8a7cd3437a", "dc434731225b", "23f60317c6d9", "9bcfdf63c3fe", "14f754d7ba17", "3a8d751045b5", "eca0508689d0", "a7e63a99f26a", "9dd794e94cc8", "6329f59af0e1", "cd520467bc84", "39a3454e74b4", "be44c6dedb2f", "b7cfb091ea9a", "a0eceee03545", "961d6fcb7d3c", "8a733a219998", "6de765ea59b1", "4be81fc556c0", "e91508340291", "bbdb5457bc3d", "ba241626ebb6", "5ed75385cb9a", "65087ad00643", "da1a1197965d", "c6cc78fc4b66", "ec02ab420dc6", "6f2c0471ee3f", "6b0786726c21", "66db21a3f9aa", "80ce423d8ba1", "88e40f46cde0", "561834565f29", "78a0ae331871", "26dcbcff04a6", "711c55e4b9fb", "1a033b53981c", "a61df9e084b", "2d2218e0ce5a", "cc01b3dd9be2", "9ac705af095d", "8ceb9ad36aa8", "5d645cd05e48", "14ff54d2871a", "2cc45eb7519e", "1dcc75d73789", "37cc5b9b367b", "59d8e11b1586", "76672b530db2", "2234e67eeb0b", "bc5548d6db32", "960ee19a696c", "ffe629a31a74", "8142898a20a7", "57c9df0759b4", "b4e042250f1e", "c7b9b89c0c9f", "9677ce880757", "7f6270307f7d", "7aad32d12a17", "53e1c7349039", "a2d7caaf7f64", "3ef42ec6c681", "e560678316c1", "8dd063589094", "b6bb09ce6619", "df1326763ca0", "b755694e9d1c", "994e150392cd", "b8ed83835104", "bdfe27ea924", "93712d713820", "7e98a32dfedc", "aa8b64a02da2", "9045e800525a", "2f6648d0744d", "fda966af258f", "f097979f9822", "96e9d4ae628e", "196c51f4d7c5", "1d2828cc21cd", "9c3fe00c7ea1", "4a32337a994a", "1d900bdf80f4", "bc9a3dd64df8", "3365a415766", "5cb2c23a480b", "ea896adf9b1", "3987fa9fdb37", "a106f146abfc", "d781622953a4", "ba97b7c09ad3", "cfa9dea7041a", "620f6b10c2", "ecf1d9dc6a80", "f4529007a27d", "bdd03f5547a0", "6d7198a4ffec", "6517a83a236f", "abf80724ae13", "e7bfe4b89e40", "2f9af3e0751e", "c1eb92cbfdf4", "2da4f6b800f0", "cc509fc8f900", "17b19f82fa43", "efb83049e441", "cfeb750e58a9", "b25b966c4997", "2b2fee3819f4", "8e704ba2e59e", "bcd73ecf4e81", "b3c0b2d33626", "953dcf7e4816", "349da642c6d", "83b81d869de1", "6b2ec1d322c9", "c867b62173cd", "d37431d2cbf6", "293bd27a657f", "444a95e924d", "b32aaa7afb58", "df1f2fcd0d14", "c1cbd56b8fa2", "b4f8236ead14", "f7850ba1ae80", "9ca11b5700b7", "d94f3bae1abc", "31a61312e9ad", "77150b6a8222", "257171f80ad2", "ebb202da91f4", "614691dd2f91", "5477da57d88d", "41162a1310d9", "48f6949a4207", "25d9a3a8605d", "de2a25785254", "b155b8eb2862", "d4b2836e6e21", "b4905a78f612", "9b9315986ca", "4c6095deab8e", "e604c5be7e84", "f9b180eec565", "4023ec7e64cd", "7e89591fe26", "71ff69e70128", "1437ea3bb414", "baaed5d2b3ae", "c9caf1e2df9d", "d9373b365ed8", "efdd44ee5d6a", "aca00ea2a266", "70eeba43ee36", "ae93774d0580", "70129dcb2100", "f86f9bd7430f", "41ee5e599dc9", "c5e724e2919e", "d07dbe5caa4c", "54eea887de1c", "e6eceaf70aec", "c484159d0c6", "f2fb30c35e68", "a9e532ba2b2e", "2e2c9d2e3054", "fb90a3f3880b", "1474ac667422", "e7a7f617e793", "72d4bb236e26", "d7eb7cd51a26", "848f8efa405c", "2e6c7942e16b", "5f861bbcd38e", "78e8f4be88cc", "fd18a9eeea99", "19531bfbfd56", "c77b4f9e0b5b", "6dc6bc1c6481", "1ff26e9ef1e7", "1ac8e26dc306", "969ebbada41f", "bd0b768c2319", "96b3f9fe5769", "c4830b0f2a14", "965cec87bde4", "7d813d7d222f", "358f442177f6", "ab5545fb996", "f00b98a0745c", "917a93d15953", "1a1c50fe4cf8", "d76f514b10fd", "9bbca2408808", "6955e04d9010", "d4e1755637be", "72abddfa7b4b", "df2e21423ed1", "24cf2ce04145", "5792681bd5fb", "2f0d3bf5a4db", "d1d8d5166b0f", "ddfab8ffd1f0", "fdd75c6e9dd6", "d2aba0f31f15", "8bff9a8622", "367db44b13d5", "91875fab1eed", "8ce9d02acae6", "cd153ce48222", "8053551d9f4d", "719dc265f1a8", "80e20a38f2d0", "6aafd73e0f09", "4705a0142d1f", "5c7f6c43ae90", "b6c7993234f4", "a2b816f18d32", "1e9cf4d3a3f1", "76abe8884bec", "dc9888ac3a70", "9e8f4459e9db", "373ac4dd2e98", "13fe03386420", "c568ff128555", "2a0413de0035", "7efe7343c297", "65175db8f1bb", "1bb27e91011e", "90731eea76a0", "772e241df605", "3b0303d906a1", "f65d882b467d", "60b5167879f3", "8d298973aa7e", "fb36f70d27be", "4e2c8c79f9c8", "62ef8eecafba", "35db03101e9e", "834c1e92293e", "1ee8db5f8a32", "b3df5dd35774", "3daa98adc651", "4ae55a4e83c4", "847ffd4c7bd5", "e5f9ed86774a", "51f0a1f65bc2", "7c1fea9983aa", "379dcacf53b", "777870268973", "a383878b1c4e", "ad7c989775de", "be9a2e078828", "374001e61236", "6ff12e66d467", "9a4088dca8d3", "b49fbc815029", "c21312a57546", "fa83308cdd8c", "afc0e07ecfc7", "157a4d6c6f5b", "307622e7e9f7", "6a00da2ce8a0", "93d2fd627ee1", "e4206078f7ab", "cc4f015e131f", "5e9ec3eb9237", "ca47ea0dbd6a", "3e987d6b1c0e", "433a3c57c004", "9085d0543f87", "ab909d1d515f", "7d0a56673dad", "873e030344a4", "52ed5ac9461", "ca89682a2d26", "7bab1c8d5140", "c81180c2b0eb", "2ea925777f45", "ff3e6c49a2ce", "b4e8d706d213", "dcb40ef7862e", "a4bd037f4cac", "55eb01521857", "4d3566fbc2f2", "f65d082848b9", "ca7b42c03d2f", "4a150ff8bbdf", "7f14b2327e93", "6d2682fd91c9", "518690305fb6", "1b3c0c872c85", "2f419d4a7b03", "76b9c863da58", "fed1177c95c4", "e4827add457a", "e3a4de6013b3", "bdc6a86a9703", "b2a82125f563", "7e26a843b961", "49171ebe4bd1", "dbea623daf32", "5277a54613f", "45df7bf34314", "ee8e0adcde3d", "41bc9752e1db", "70c1238cd695", "6837c84e4643", "7d9f08e3c1be", "811794297dcd", "fe15640b9a2a", "64dc31c86314", "3f50232199fb", "7c47dfb70e70", "1c43e4a95270", "b44a3b8be6d0", "9af51427435e", "800ee80d71b8", "fa8baf6a42b1", "3ee67f9dc13", "8a16a9621e7e", "c3f3ced46a86", "3a8f61e36b76", "56b225baafd8", "f5ba95fc859b", "348634f537c9", "d581f265059b", "f19c9310e998", "34b78df9b9ec", "d0845d947ece", "a0bcbf7df081", "d0d0ccf66efd", "e20e0843f6fa", "2c1e7ff913e5", "aefee28bb21a", "6fcb89315589", "821b36f0ba07", "e3a4b71e2c12", "21b4798746ae", "2ed292c11970", "8f6b423a7a1e", "201868ccdfea", "99e7f83dec51", "961c13914af7", "17db4a012ae2", "54c5f9794ba5", "6db190a70ea8", "41c8068d74af", "245be9850694", "98b616a70ae2", "bc1c2ec41230", "f3bfc795bb8a", "122fa164f068", "a976d92d14fb", "2623bd72e939", "dd8b887e42b0", "989bc8fbeecb", "eadd6c118472", "3afab15e88d9", "f528abb41910", "233897df591d", "f80fb36139b0", "8a47960740b7", "5e25c85515f6", "b7ed3e076d43", "910277a9a328", "33de0938791f", "3d99ce872012", "2d4fbdc68cdd", "c2eafa266cd7", "6ebfd80d500e", "d7e1f7d3a45", "26e2595c2366", "84977374cc3a", "a49cf92a8f05", "72ef434af6bb", "cc92c9729241", "7f1b6feaae6d", "6cb008d3521a", "206e20175d01", "5e1fa62cf999", "a2708d7ae09e", "14f86994b9ef", "7f27f8f6001", "5594a235fd71", "6c7d31d98bcf", "7ba6ef4044d0", "b5d1a159d176", "ef8756bb597f", "36ca46d8bb92", "90b27718d3", "e8dc4a986e80", "35b33df15995", "2ff42b423755", "f17b229d0021", "95c7216377d7", "767d9950a418", "9d794c2c29fd", "76487b46b7dc", "11ffab2b0273", "89cef1123e9a", "f33204b51e8f", "afa1e224e519", "b8b888bbe770", "74e7bc0fa069", "3ab713671711", "9b5bccb55095", "438b8565ed48", "dd9c8041af7f", "4f7f3faa6fb7", "f776817f1225", "2e97f725a5b8", "e514c9c1dc56", "95c88042bd68", "b3711c7cdbc2", "4dec169e76a2", "df7f06f1df13", "b1dd1ae5bbf5", "36602c4022f7", "7abc5525bab1", "9ec11b158c84", "9dee24ec2a6", "dbbabf399692", "7aeac2c40b86", "f0f15b5003bc", "8044128c1737", "4b77df15bde1", "89d0a2dd49af", "fde03ef0d9ac", "fc763d2dcc52", "f3f9e5143c55", "78a179ebac9d", "1c997ca5c862", "1adcf5d30ec2", "58387fe967b0", "8386e2cdcdb", "5bb597b0e5f2", "dc16a2730e28", "c3ad15a8b785", "1641172076bf", "450ac243fc75", "888b61865c8e", "35da36b94988", "3de0fa7c9c3f", "a1d28df966f0", "e590d27c6baa", "b30a5d682eab", "9dc5097dca3d", "7292f2e650b", "5bfc488897d7", "3e29b4d5a468", "a11b9138f37d", "c315f015e6c2", "482699237cea", "4eadc59324e1", "775365e96f6c", "caeafe46cf7b", "12f7df20e096", "311126f788e2", "ea5b31b433f5", "83418393ba47", "ce9a9a6ee313", "329238bec7c6", "8f66e9119b2d", "40235fabab57", "cd9ff455a58c", "3939555379ef", "57cf66c12e7c", "e4e749348583", "93feaf6f3ddd", "588438e4f978", "90fbf41f92ce", "bed169b1f61b", "66b62e6aba61", "987cf746cc0f", "9e8d0408dc43", "b42db4765bc9", "c98738f6dd20", "b1597d96d9aa", "a01bbd14042a", "abebf0e20f5b", "6deecbb488f5", "b8c7cdfb6c50", "cde0e677b9bf", "f3378725aae7", "4946d2fb27f0", "6fd055e8f7a", "672838ca0dad", "11561f54cab1", "e0d56b10987", "8ef2f4fc5c0d", "732f684f947c", "738769de461f", "fa8f85516984", "18305e2776bb", "838189e7f960", "d64f0e2292e5", "7c6e73f981f9", "845a04e28b23", "99f921f027c1", "14c8b50e538d", "1152c03dd5dc", "c3118704317b", "3b7866a2e989", "3e043729f46", "72fb4826770b", "186a533ed8f3", "c6de72275a0f", "caa5bfb3d729", "fc4e8d115fb6", "3d3b338b64d1", "b48a8fe273e9", "a87490cdce03", "7a5a13f4fcd8", "b9613faf1397", "902fecc37489", "2db6e3c34e31", "bb8bcd308aac", "b08522e6d62a", "4615a781482e", "e3664a1e243b", "2fe5ff8e1e39", "3137ef384404", "fdecab69ba69", "156b588f1155", "fffc8135c57a", "452be4ea404a", "dc6725cbbce8", "28c8c1286ec9", "83284cb09c92", "baea3d3b4244", "9d2a05cc7f54", "9141c1d7441a", "93ca2a9fbbf6", "d876e961086d", "8c5756e16a5e", "b9ab68f2bcb0", "79278f787959", "583f572c9aba", "6e3e880b282b", "ed4a26019c88", "9bad29def407", "10bdb59e2123"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"search_query": {"type": "string"}, "publications": {"type": "array", "items": {"type": "string"}}}, "required": ["publications", "search_query"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/c789f177-9978-4f5e-9d2c-2519ccda50a9/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Search Lists | Returns an array of list_ids for the given search query results. (Max Length = 1000) | 200 | Response | {"search_query": "artificial intelligence", "lists": ["ca47653cfbb1", "a8266c175cda", "a9c19f67e097", "69baa907e43d", "d64466848fd6", "9f3dfea21386", "c13231423d05", "43ec2f18886e", "aa7010a5e263", "f5698fad8049", "be18bcac2b0b", "c0cbeacc78a6", "05546d1edb4a", "63cfebf2b10d", "8d83e153f1d0", "eaa8983d1ed2", "b451a3eb6eec", "76db9b10d7a4", "5c065d936549", "33b5ec41cbb5", "a77a9df603c5", "3c64915e1f56", "e83509cd962d", "1aab5ce59766", "e7d13679e7ad", "525ee5d04650", "9cdaabdf36e9", "3df144749aab", "361fc6fdf451", "8593d5010e9c", "93b4651a18ed", "d9b0f3dee905", "9c12db485183", "f02ac871a301", "ff79bfa6ace5", "3f327ddd19d9", "147cb1f8d28c", "9fe7a4a04171", "cb8c39b51b01", "7ad319868f94", "a16b1b639c18", "60864fc0dc7f", "0f2998cf0d05", "b31e7556d6e4", "d316b279a15f", "58156ffb87d4", "9df3e3ceafbe", "15b0e6a379c2", "3b4b4f5d416d", "3a86bea879f6", "8bd23a556fef", "8ee6fca9ead8", "b5655290207c", "0f415ff156b8", "dc9556c52218", "7c7f7b3e462d", "769a454744a8", "8efffdb855cf", "394a9efdb7ef", "8d5a4da9c736", "a6fda516e19d", "a3eee5242f81", "6a9d60b78bcc", "e7cad4c989b4", "589a282387fb", "7eb791811f45", "5f50343dc373", "947243e23f5b", "f37e38231da6", "5f86b1e99679", "54f8f5034308", "d2e77699d60c", "50380e42cfdd", "c14806d019e5", "0c931a6bb1d8", "6e8555e6a180", "6aabbe130620", "c558abaa5cc5", "b1bde57fdde2", "4cb43d0b1110", "d11935f66d5e", "3e0c793f5006", "236707200f11", "784f7def0164", "43879e802319", "b984e4dcf025", "65c14b20efe2", "cbe437ad9064", "2b1c3baff9c8", "d7ea0e56b3fd", "b5d60af2b20e", "6b4207ae37cd", "1d8651667f05", "f3baa13cf920", "23954683b4e4", "4762f3976e41", "3a12cfd78946", "bde66f535654", "73541872fb46", "80927bb67d54", "447658009611", "5e27e2d314c5", "56da4a327302", "4a5855087ab4", "278ff3a98333", "1ff34595bd48", "9a1899c46a0d", "29398b313331", "2eda24316e8a", "b66d29a5444e", "91e83a5c7513", "f6cd3eff7e47", "bf0ba133257e", "7a2426b7e31b", "846e1a43a35d", "603d080b3617", "058a0f812404", "1ed08e7a4901", "0c9189178a2f", "05fa5207e35b", "dd2eaad28139", "3fe468f228f8", "b9a4f5d93b98", "27afdedeab8f", "47a21e27a6cc", "fa30faa6a23c", "a7e70ab21f95", "85ebe802f197", "709a2883453b", "a40abf3fd225", "977b77aa3b49", "deb0bca4cd80", "5bde540cad5c", "adbe12855ce9", "3f7f034b2c69", "8a6506ae6c0f", "3cb7ada4db56", "5c6c631dd559", "bb9ee457791b", "e71e0ba9d75b", "4e3f3c474a80", "06becf5c9c86", "9d4b8e82e941", "df7c4995ef34", "01bf61908fcb", "219e0111a4fc", "c09b1f03a927", "36205fe8fe1f", "a2bc9aac13fb", "3886fb49c8d1", "e0200acd536f", "5195818386e2", "670f3614c3ad", "7c44682c5c24", "0ff666d3ab96", "bb04d3ba3774", "7eb0a53c9c9e", "24524349ded4", "9c9fe7e78bf7", "3987c4e7f792", "5b7ce2cff68a", "bae276fbdb76", "f20abd81c5a1", "a144cc369d89", "f2b16abf51d6", "3b6469d1069e", "b96e1dbf3cb9", "2ffdce3a2b59", "cca3371a7ada", "e34776a9f5ff", "3d0e15939fb1", "202f92efc292", "3441920a0989", "22a61af115f3", "141fa4206621", "dc2446c9f18c", "db3866d9c47d", "ffa7ece82c2e", "37f9c467c78d", "783f9b352bcf", "385682bf7f1a", "5fd2254e9537", "b07c85d4d69c", "04a685288598", "11129b50d64c", "d043ad27a2c3", "324a84c0276f", "9c65250d3ab1", "75fc11e12998", "3a42a0d5a7dc", "56147294609e", "ae36207b2d28", "ff72c94f17a3", "34219563004c", "8acf04e54a56", "fdbd8f1f8d91", "5e16b7640004", "d2a014a0d2c3", "99e79a11e5c1", "25d4a11281e9", "df7dbaa041ba", "7542ff5755b3", "ed64275b969e", "b81d5b2405ff", "4fe8a6b09213", "b9635a63b35b", "282076d6cebf", "d515d0166792", "4f6134930b9a", "fca57e2fbdc1", "7209b014286e", "525011f42e26", "e4e8df9b7747", "81c8661a7686", "22d251f61222", "2f104b30b017", "0ff19791e26b", "3b1cd9be4a08", "446ea3fbfcb5", "0a46c811c8a4", "8c5afaf12c15", "5ba162363e29", "33e9802ab1ee", "b9e123a25e89", "b8f9de42a8f9", "1b8dd499be14", "6bb15c6a23aa", "e01c0d5fc7f8", "f6c71394fbdc", "3980baa4c9d7", "5fca0efc3fd6", "ce030420560b", "dacd56a85f03", "3e4eff3ba420", "df5dc2a88825", "78784284de9d", "8c0479206c2b", "3a0fe25d19e3", "87d24ba6841c", "70b0eaedeb90", "b1cd6f489bc1", "14f1129cdfca", "67f5857c40f0", "dbb6f5aa8699", "96cbf71e5238", "2d1e41992cda", "1e8a06ef9b57", "d2f174c91020", "3ae467a3ddae", "9a272d7f1e26", "1da6c57eee00", "d5e814cb73ca", "81f7ae561737", "a20c427a2f68", "b39cdbd5ec72", "ea602774000e", "45e06a7e5762", "0c2f55d02b20", "05a724a478dd", "39bf29b8f145", "3f5127255a8f", "35e3f34ec1e3", "708b5935d8a9", "1dbaa7fcb7e6", "11b0cfddb43e", "ceee02b8a725", "d51d3f87ffdf", "e754fb508c01", "b22758f2fe52", "7fc8bbcf47e0", "9c87c965d7e9", "357f983b951e", "933502a8badd", "c56b925d668c", "94e11083312b", "f955d07fe8da", "8edab494c480", "3fb4141eef99", "f03150b98d87", "3a97e02c95a3", "8a9721b7e258", "19f43cd8becc", "9f2a19f0536d", "645ac843cbca", "43dc8f48d00c", "ecb00cb11c02", "ea2bac5a01ba", "5df8f1cfc26d", "b9e2adea4a42", "9cba5a64571a", "5f29b057ada1", "473052550bd7", "bd74ae5805ca", "281cd67b9229", "2005aadd5ef7", "5d21dc3f0419", "4a2d78461da5", "e81a57da2d11", "a103522fc131", "057c84ada22e", "130b5ad78a99", "a52bab00e644", "d8b6a7c6bed0", "7f14766ae715", "85982c2cf621", "b3f93a768213", "a8252518384f", "b5f05dd8354b", "5c2d6bd6b5a4", "5f55db3a3329", "9cf1fab53804", "de11ff92381e", "45463782fe25", "8eab5c3f34c5", "726323309401", "12ea991fbd68", "c2bd1a3e3635", "69efc9aa6b2c", "150140ad92d3", "0698b7ee227b", "3309f7047628", "0e49fa7ae7dd", "bf6f6937453b", "ea3070b9a13f", "ff2bcd713320", "800ad8a80f21", "87a51d7431ac", "1533f586dbd4", "3244b2cb6c34", "10f5dd109a2f", "a54db5658d46", "4d5cf4991c74", "24dc4a4faf64", "d706a8b62077", "0077c7cd9eac", "ab4cd971cb85", "4fc16870e3d7", "55b04902d07a", "eb59021b50ad", "d42ee2c4488e", "7129de0673b7", "161ba0728a62", "27aa9b7e0db5", "e466ffc8ba13", "db339050f488", "23c9dfbfa475", "dbe8199c547b", "03790248fc84", "b5399b7948c8", "48b7db96e028", "c70f3eacb7a7", "7597e92cea20", "7c09b32323f9", "42a4f5836093", "121fffd1c023", "4450078b0d84", "1b97f790e7c3", "c17c740cf712", "b2079dcefc61", "34592d870cc8", "ff4ea173c0d0", "24fe2669a4b8", "b797c400bf13", "fb40907934bf", "f69cf97da010", "9af0867844e4", "9c709623320d", "cc22425281a7", "df485010b687", "94a7f711c082", "83f95591d561", "6e329bdbd37e", "fd93dd6441f5", "da51c34e9181", "e3909b5a0b7a", "73bf59879ded", "9c17cc552076", "acf3320c1481", "5a94c9687a42", "978b62ee919f", "dd9e2619b235", "7b3718b6e3d7", "c3e820f3cc4f", "c5d46d4c0235", "55fee3688d1f", "8c55f6f21f5f", "7fe0818669a1", "8c0877f42e7f", "ade61fffe8b4", "0696039ea5e5", "41b54c4098d8", "c8608fd105db", "2a8ca8864363", "dc869dc77878", "3433edff94f6", "f6cc20c0b931", "253a20470826", "68a702336820", "d0528952c6cb", "cc06939c78ee", "7dfa3076ca69", "6dbfba1debff", "bf32ade66809", "4d0e7fb77620", "914027ff94f1", "3e8721cf3cdf", "594b69c84273", "1ab4a32fba00", "2800fe047fba", "cee99191780f", "1731f56ab0af", "914cbed55bfa", "5fac62029917", "1b8e896e58ae", "34a409828a78", "64b6fa7be241", "d7ee42f6a4f0", "c172c05b5322", "c9b3d646a2e4", "68039081a51d", "70efd017666b", "511a1b44742b", "b2cf14b2fa83", "9d233c65795e", "1f6fb6ce3d3c", "1904ea2315f1", "a5b2b3c19781", "fc89319ac409", "2f611fa3d1ea", "2d2352a2fc1c", "5c58fd99ad91", "d12b23edd893", "bcebb2aff447", "52fc6b98f839", "51dd85e172d1", "a4e105b38489", "130642339822", "7f2f01016bae", "365841a9485c", "d695ef619ab3", "61c86a4e4084", "36f487aa554e", "6ff98011bded", "a5906e68d5bb", "f1dae41c03bd", "87dcbe23b491", "e1e7cecb895f", "bb1ace07feab", "e003bb9188b0", "5b94394e8d4e", "2740e50cc9c1", "5e89894193ea", "b88811fdc3a2", "fb455ba3fdb9", "2a03f8f0a5fa", "0168a00678e6", "8a8b178ea37c", "593fe28cadc6", "9bd233ea3145", "5ea89fd42c4c", "1461ad667a99", "2e5e63c13466", "93d40098708d", "8e64f3aa50d7", "7fa1a97fbdf5", "bdb54a345f17", "e674f8a1f8e6", "4750320d9991", "d53685821f4a", "e3deb2c82ef9", "38fd83265647", "5c5017e581d6", "41d988fde954", "317d90d61cbe", "47de1154b51f", "1e7ec3bee9d5", "9ff60cc92b9e", "61bde4bbdd32", "172c5aaa8bce", "8627c06cef7d", "283f97acde55", "262025707fdd", "b762f2d94cd9", "6052c23ad7f4", "577822892d82", "10725d748e9d", "4b7e1c5fc0b2", "2ffedc760951", "3d1bcef0e077", "f8008467d4d0", "fc2d21feff67", "a8bdcf63312a", "a58ed4775dde", "7d09d4c36d60", "3f4575415bcf", "a0f8ace14e8b", "42021d3c92a3", "117df8c66873", "c7869eeebd30", "0029bf617f3d", "d81a90b26976", "0c5191befb41", "23113d4836ea", "03a4bc948a77", "88c10ba6357e", "cfd7f0ccd060", "06eb00406389", "5531d4083e06", "5cfe49191e69", "947c01d9d2b9", "a6e27d938416", "dfb719ed938a", "3c84046aaa1f", "626c39d8ca86", "4f5ec67f8d9c", "835653d5affc", "d12d69fb3223", "22f401363442", "598bc67279f2", "e3887c61754f", "989827b68a8c", "997a7afe41d6", "a4dcdc2f9282", "5c5071081a3c", "c7abaf861a43", "d857e0c645d1", "dc831508c279", "bef205bdc725", "c8dfba0de6b2", "37768a9831e1", "b26108c5fc18", "a95ce1e5d3e4", "ef1291e3ecad", "d8aa29ac24df", "86ebae0cfc14", "3a1e2c074aa0", "e9da3d5a335d", "c7a293d97afc", "547ce45d0a4b", "4c375adc3ecb", "a3b14b22d797", "48a287885856", "5f5c18672481", "f4b631980888", "42f215a8c765", "a6aac61c9f94", "cd60256f208b", "38fb09bdbf98", "193fbea4dc19", "b67ee3bf1557", "66fea00db00e", "03a9f6a0c6d0", "f7d49c7c3bc7", "456904ecd0ec", "f2c4bf6889f1", "ba936075ef71", "d6028f68670f", "46998d660c8e", "dc368b178ae5", "9db2b0f1aff7", "dad772642a8b", "c836687c1322", "a3d0465ab5ac", "cb1449c8aeeb", "6bf882933b58", "15912b48d40b", "edb8ac38e184", "802d61a0689e", "8b8e667b750e", "43291d3ed6e3", "61cc8f14fbd0", "f03113c79cb1", "37ade0493afb", "a998d04b5916", "a78d3d198b2f", "ccc7c79fffd3", "664809ee3b0c", "914a70d2197f", "7d3722704722", "cbc49223989e", "6d21d06e6430", "7a5842d1c2c0", "7c36bfc18e67", "320010d49cdc", "5d3898d14618", "7cb9b0feb55e", "9993423d0e5d", "b6b45d0eb8b7", "c78ae6876a9a", "452aa8827cde", "d3f9386c7e82", "d02bab6633e5", "ca0fce97a351", "24ed7f608d89", "37062dba0e87", "1ca7093c73c1", "346063b53611", "a7c426a95a5d", "98630a52d87a", "a078d49f5677", "7733566fd115", "41e9e1a45632", "a53f0e131230", "d13d83126892", "96c21d8cd786", "5bd173311583", "afff30e6b5cf", "4652773a29f6", "e30eeb17967a", "d4b403ebfe95", "d29f435a30a6", "f5e50deb29fd", "f86caa49858d", "ebe6ca6b840e", "1529134e958f", "7fb27b7eb701", "c0959f5104ec", "cb8a3d8c35d5", "ca72d45b77a6", "9434882513e1", "1d22eba2b2af", "3a7a9852fcee", "eb712c787150", "c8e4f5e4751d", "f886cfe73abe", "947c760cd3d6", "5859df87c19e", "48d158028cba", "cc20a607e03f", "72701d14790c", "c3d08e52e39e", "131d281ff81e", "21548c1bf805", "43939151436c", "d5f06f97bbcc", "37b4b4011cec", "f7f0b58b6f4d", "7e5a06c1e392", "c3509f565dd6", "a8a6cf42e45f", "5b5f990d3f34", "b08eab697eb8", "058b0b5ed32a", "0e8b6988e8dc", "c87a4cae81ff", "a3dcb26d966f", "411d83716be2", "e7ec9969de4b", "3db367919af8", "21051311727a", "b92b9875a9d1", "a5db7a67e622", "7b31e078d893", "5c1e3f5a0ed2", "47e2f01206c6", "1d953a39a9b8", "9339c650c1ee", "a2045b5bc973", "a34ac49b06cf", "303466bcc225", "e909fedabefd", "19ee8e0aac58", "16ddf1b3433c", "dab961450bc5", "95876e3c9976", "6db3225bf452", "f3dcc5249287", "b9d06a880777", "19ec22935486", "259628616a20", "a56140c056e9", "12337078bcdb", "687d830f6fef", "ba6a3f49a699", "1e73d93b38d3", "8cc22e31129e", "4ad640257164", "cd9d63925e62", "f514623aa27d", "2ca261a37e61", "94eba4f30024", "3ec19f503560", "48680e4828f3", "dfaa9f0db70d", "aedc154653e8", "d057b20b6eac", "d13ada714328", "8195ad6a8b6c", "f5ba88ebb2cc", "d83e6cd30eb6", "5f6e194d595c", "16bc2a3ea771", "23643c33505b", "74e47e870c87", "22653912cbe9", "1839170c7a5d", "c8901def28f8", "0bfde782cffe", "2051a60b96ea", "3445498b25f7", "8c67f8ce2732", "b8bd05e8fc13", "7752cf4ea220", "403c6132c3d7", "7f170120be43", "39ea23f73e7d", "2337aee5ab40", "072ab50b06fd", "bbfebe8cd036", "5801c857087b", "f5812a27ed82", "325ed420f6da", "ae09a3237ca1", "ef209b8ad191", "ded4989f62d4", "f42eaf859fd7", "96836b28591e", "70896535ba47", "e45373e1b7ce", "29ed402612ec", "79c5a0c94446", "62dd4e4be3a0", "ed332c4afc53", "3e18634953ef", "d1948133857a", "06cba16e1353", "e9a9719cc432", "9fd9d3082726", "547845acbac8", "04b0afab2783", "a17e2dc39768", "8f81873aa4b8", "348e9c8f8604", "c8555d4fbe1b", "02f7982fda71", "8a26a5163cd8", "d53c550bb707", "b115745f7228", "729d1e30656e", "489cda3db76d", "b80ef3b8a63f", "3a140f7b78a7", "5439cb22c1ea", "b8c325d99d26", "d5341fea73ec", "d5c33b83f2e4", "45c957553709", "52dfb6713db9", "17a646b8e283", "cf44d69e177a", "5387936e8fdd", "f45173f4c87d", "7c20412dd63d", "330c96e69582", "95f44a678883", "098e0dc8685b", "e5fb4805b615", "61e7e1f92e40", "5511aead9e4f", "a0c202e05ad0", "d593000776ee", "c001231813e4", "0ddcd3520961", "6cabc0394d80", "b9f6afdefea0", "d5db0822f7c6", "1a034c3d4eb1", "e8de5f1d9647", "ed798ec6d267", "4c6921b3e787", "bfe3adcb5ca5", "bf297bf42562", "b95629187b29", "5aeeb61e44b1", "2e3bb755f449", "80c0b560948c", "5755db56cbea", "4cc6b0f8b91d", "2128c20d42dd", "68d09403e37c", "813477a138f0", "a52aa96ee0e9", "324f05b37eaa", "6f2e6bca525d", "042d9b3fa3ef", "450390386e01", "ff47b0501979", "c485b33f28f2", "83e7a5261148", "2c27e0145c7c", "7548f72aa769", "a81f5e554d53", "a908678b92fb", "5dcc0ec52313", "6bb5f06e856a", "be3436e4d606", "6a80d7baa4c1", "4399e1ff82cf", "7fcee4020a14", "01f7835a67b1", "61cf4bccff51", "da9cdc32bb45", "5adba4970a00", "038fabd123b7", "59296bff0138", "1089719c9700", "9b38cf15d76a", "80184bce6dbb", "b788e9676cd5", "7d39602a18bc", "56b22f1ce705", "08e9bd118032", "93f80c45b6b3", "2ec6665e1c8f", "55fa57275c9e", "7756b499475c", "e145a3f0128e", "30d0df588339", "2bec68af10e8", "419ac3387db7", "719c12ff536e", "8f4b347f05b8", "7cb5ce28c3f6", "5eb92fe8a5ca", "d147e2dc671d", "e0f6a8d83940", "2c9cabc29487", "d341a8bf3060", "5c69b92891b5", "d2e175ac0ec0", "00aa5b4e57d2", "03f7abc19ef8", "dca46755e506", "b8a1cd721a9a", "0e781fc39f0b", "f962b26c1305", "a2c5a77c5cce", "4309d6aebedd", "4eea3c386be2", "3d718bea322c", "8ac22ec5a7f3", "eba307fe231d", "00fb30fefe6e", "0ab2bb1e326d", "3ee8cb082b35", "cf065c4b178b", "4b958ae0b99d", "ad920914bba5", "5cf54fe8ca45", "c307c066199c", "ab54de01407d", "44dd27800867", "ce8a86f5f355", "3515d3b0e041", "959cbd181e89", "7f8919c5a990", "71ec4916fbc9", "5c840aaca4d1", "34b2150a9c28", "0f93d56bae4b", "d9133574495e", "c121d3005db5", "b313a5f94d17", "1d2394c9a59e", "d9aa41c22086", "5e8ad7843c9f", "85c8b2468447", "e9eab3cd8813", "2fc877ad0f3a", "77f41376a204", "d68653c6385c", "bc87796b0772", "aaa39e1168e5", "8f20fc2bb1e6", "89a2f0bcb9ef", "e080fa15e3ab", "e06d8c6daac2", "b99b990f3519", "3c75b0f3667b", "d747f242a114", "34edb67c8213", "cbe52a7b007c", "6335c7914d0f", "865484f08e79", "ebad471a21fc", "f86da6ca3551", "87e1e7f05dfd", "e25fee7e12b9", "deebe3b651ba", "df98ed8fe64e", "ea1caf043510", "0e1d958ca3be", "841244407330", "61102de2a61c", "68a4be5feb4b", "1326faee0346", "86141e944058", "73873f9bc53e", "9ad209d4a87a", "a9a508a38505", "8eef93ab39cd", "1d4eed9b1ee7", "9d4884a9cbcb", "154c02db665f", "26acc0c5d850", "26b6b61cbd85", "50ae5bbdc864", "1f4b0d62df55", "0b03fae47b3e", "f3cec83ceb5b", "9f27bb44d8e9", "2629e7e49c1b", "14a48d21b318", "d49c47f558ed", "02e3815d2dd1", "d34bd09e3452", "0422fe847c5b", "d0df707ee0ff", "e75037c55d4e", "5614c612ea8f", "adf2f5b19cc6", "61972ce54c82", "988144f0e6f7", "3f265145f581", "d3cd632d9a99", "06a3aa905bd8", "efc26e0db3fd", "26261c781665", "50ffd4a5232c", "230b2b59c19e", "275d05cbec4b", "6d130396988a", "417e6b6aba43", "4cfb912ee222", "879bff5abc11", "641004d050f1", "8759250d2b8a", "4de301448ce6", "e3065ace54c8", "dc6a4ede1e19", "3c58394e20d9", "edbe2eba110c", "d5d159d6d1d9", "a09bbb6215aa", "ef8531591c17", "cbd75e545be3", "94a1f0bbdd23", "4f42c3a8bf66", "a49e95361438", "1bc127e0f420", "dc7a99f5065e", "6597bfda6cd1", "ce9c99b49623", "f33b8b4c4d77", "97cd315c7ae2", "7dbcbac56bd3", "21397ae3099b", "f0931483e454", "74df6a85e7e2", "e9bfb7748de9", "5ff070373cd1", "038056facf0f", "f1dcdb3f85db", "748c7f877435", "f4056ebca66e", "7bf40b529993", "cc1171a45038", "a316b089476a", "4c8934afc0e4", "8435abf40535", "6ac48cb5a805", "272af5f8708f", "7c3d7c012a90", "5947b26340ee", "0952f3529e60", "b46a21ad6ee6", "96ae88f736ca", "a83a711af0ce", "b3494e3e4b97", "e4a6d64d8e0a", "52c1179b8335", "1336fc694c37", "032d2a3da71d", "434c8e3c78f0", "83bec29d7889", "f1229871cf87", "a7bf63175f20", "911bdf0ba27d", "e2ef89fcd154", "1f69057f1897", "ad079599c359", "be85078ecf83", "0ed0e2dd40c8", "cae8075beda1", "20396dde226f", "abaaa1e21d43", "1648a0dd4896", "14459cf1a979", "9d7c62ef389a", "075f95c65a22"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"search_query": {"type": "string"}, "lists": {"type": "array", "items": {"type": "string"}}}, "required": ["lists", "search_query"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/503b6ee0-475d-4b7b-b473-787c571c0445/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Search Users | Returns a list of user_ids for the given search query results. (Max Length = 1000) | 200 | Response | {"search_query": "data engineer", "users": ["41cd8f154e82", "b8176fabf308", "4364d136bdda", "5bdf5a3385cd", "3ed0ce2dcf93", "13d513db037", "1f0eea450659", "fe6e329e82b3", "49882670bc7f", "c4539c5f517b", "f28a432ce853", "b7f216c64e33", "6857a4254ad8", "e06a48b3dd48", "2d93b58a0f8a", "6ab1ede31d8e", "6e5ecbcfd388", "2c9d8b2edb6e", "279fe54c149a", "52aa38cb8e25", "2818bac48708", "2adc5a07e772", "76c21e75463a", "38a5ef6ab673", "777702680128", "c7c686fcd4b", "825fa70f9e24", "32def722c919", "99570b11f453", "85e0720e39a2", "b935c6f80f22", "62925548a091", "2696f801a31a", "2e80f3b411a5", "dcd08e36f2d0", "c05fafadc01d", "97abd6c0aad1", "7b169ef2b4c1", "d2e6816bf92a", "3de081787159", "b4a519a99dfd", "a7d714669aa6", "cd08464b29cc", "c919c8b77e17", "3374696235f7", "4fae13346549", "9105233d0eff", "d810baa7423b", "1eddac375cb9", "3631074637a9", "a0fef66b3c1f", "f8033004ca49", "a63ca22cb64b", "e99b58f29b15", "948cf3f4f36c", "c6af1eb2c940", "112cc0c4e2ce", "d73cc34e8ee", "958a1ed9277c", "231920afefb1", "e48b87d15c20", "61418d489e25", "447820e29638", "b7a71d4661e7", "2054724740ed", "157101b88a07", "8d4e2c520037", "163113c6fbf8", "f94e8b97c7aa", "5bebc59e793b", "28d58264a2d2", "65bf87989145", "c078747a2b73", "2a96504dea7a", "a023a229ec8d", "d713f617a13d", "6f6af3cc17e7", "ab151766cbe6", "c90e7698464c", "5015c1b2b3a", "654ed03ca126", "c5f0ad9001fd", "6db2ad10ccdb", "763008f53ee9", "c830ac005083", "d7c7ddf5c65d", "3cda284a55e1", "c58320fab2a8", "f7948aefa758", "135ffac3983f", "1a9371055208", "410e9ddcf6f2", "10cf0dba197a", "25f4ace247b", "69f6dde768a1", "3629b42c0776", "7295a2a90b58", "7e6956110712", "2cf3f5ae1150", "631ee5e6343e", "4919d1e55650", "1e77e054ef75", "8e14c28fb667", "750fab6e9871", "d68a2ae83525", "72811222f4fd", "ebe93072cafd", "5f3569495efc", "ba1be14b3707", "136663019227", "798242488b19", "c6f2edf35eb5", "fee8693930fb", "702eeb326298", "1907e513ff6e", "bfe536b1c267", "9273f4759898", "ee4b4fbf965c", "c11688ad85c0", "ec0e018f30da", "ae592466d35f", "a2e3500fa1bc", "8859b1d1dade", "e8ec6fa4d7d4", "b17ebd108358", "151af177574d", "951ea6042cf5", "836b382d20fa", "3d4826ca4d12", "ee86e6752cb4", "37240f6b6698", "824bf28da451", "1c03a68d67fc", "ef81ef829bcb", "a4c6efa67fe0", "401f3b3c958f", "455dcbf38426", "52c59dd57d8a", "97dedb58f477", "36d1e4174a1e", "d2cb9c480c2", "7cc87df5b1", "1d8994ad0efc", "c308c421ca8d", "b9d77a4ca1d1", "372363c767a9", "88797ba3f2f6", "287aa3cfe747", "4cbd6b36e62a", "bb10e3af0759", "183948106f98", "ab8db76f5314", "11b65705ec0", "779a057b9af0", "a08b1e531f9c", "9d91b858f6e4", "180dbaaffa4e", "f392dd76f846", "a84d0e60277a", "bc670b9a1aca", "2f052b054cee", "76f234261155", "c16867ccea73", "10df94b13417", "a7cc4f201fb5", "6db35fa87ba2", "3bc9ba5e9390", "b6da92126145", "51ff4b76ebf4", "a9aa135101f4", "77fd145c8783", "7fe94d3af4e6", "7b40806ab7c7", "bb0f26d52754", "b3c7769e3e2f", "c2958659896a", "505ba290f8ba", "4d64788e422f", "136d3baa0212", "2d5006cc1b63", "9b027728aceb", "98cbd966a4c9", "1570cd236e2d", "e73493c985f8", "8b84a0668c0c", "1bd9d6f5a0c4", "a956404f0bdf", "3c66a8bcc1f0", "104c7f23bfc6", "c0101388583", "3d860626bbc7", "4d3a2d851128", "ec9cefb72e16", "30bef13bba71", "c97e6c73c13c", "131b2be7cddd", "549453f1997f", "1d6ecf706047", "7a2fdf88eacf", "a4d3e7fca7af", "5465d371d7ca", "441d0ace1011", "f6e53c80bef9", "ba6785b6a9a6", "c99f1d74f108", "c097181fc8f9", "1ede83301f25", "ff7141087b94", "3281b27292bd", "264e4c28977e", "895244dd2f5f", "33e01bc3ecc8", "677f03e54270", "8e7513138547", "e74ca8a4c2f4", "9ecf0d09246c", "c3aeaf49d8a4", "fb44e21903f3", "39db050c2ac2", "6945c197731e", "6278d12b0682", "71154650ecd4", "d67bf018ae6d", "75a694a5b6db", "24f5f16be697", "f1cb98e196bc", "5f4d2b8b896d", "593908e0206", "88ff1e2545d0", "b9e3e12f9963", "ddb138128876", "71fc9067d606", "120b86134681", "76398be9016", "b7bdb0fad1c4", "114c2684cfef", "6eabb71af0f1", "26a3909adc91", "247991304a87", "3a73dfaa1c06", "b1fb0cb8c8e", "46b6f430560f", "722bf1348ae3", "15d64a735e3e", "37b12820ee51", "b031287fdf11", "a87faeb8b9d", "1a2df7c24f4f", "460980aab192", "bd9671589b55", "d86ea18aa4ce", "8be2214ca52f", "4bf0659f5238", "a19804ea02f3", "ddf633dcad17", "254e653181d2", "a927ff67ee5", "ed439713ea9e", "60b5bb4c868d", "893d6b8a519f", "c0ea81db35fb", "83470b348bae", "6fff8a84be27", "161d05f13762", "b521dbe3ffdc", "5ca7329adb2b", "378ca677f7b9", "7cd59d41e4d7", "a8924e7df8cb", "6bee41715a0e", "2f0bde72fd78", "864fda338dba", "7255c032b8e9", "752f51dc9d1f", "37a1bdd9a460", "190d4059eef6", "b1f214c06d3e", "793a6802a3a6", "ce9e64a477a7", "959a893f35ce", "f7cc596dfe41", "de8066f95111", "b7cccbc44168", "c926b30d60e8", "53473ad0a798", "5fc200fdaa8c", "8ba7bf4ad784", "cc6439f5a070", "b2c7a99cea6d", "14658ad62c44", "99bbe0d3ab55", "70c16547a418", "1cdedc00c37b", "de7c5a1b117c", "589e227843c0", "9e9176bf9645", "3489e9c7ed41", "cdd580881e77", "3f8d8e8513fa", "9e2a7336d2b0", "c56f79e18243", "7650c04bfa9e", "43d9ae7470e9", "777ed62d0aee", "80f3cc220e29", "f549686a8169", "f2a58b0ec51f", "80757197a8a5", "7e99578fe224", "769867c3e730", "6cd87ab0ac20", "4da0749d6977", "3473b7ab284d", "2ea9bc15f814", "24e4a6d7448", "7be322ce2bfa", "d121fd7ffa5a", "ca7fce95fd96", "d77743c4411e", "bea97eda7603", "be7bc194ff8a", "b7957f93922f", "a2b784b04d2e", "9378ffe92767", "8762d93b7d84", "7b773f0c3e32", "7b616de47392", "6fbd832c5c8d", "6661fac10e48", "2f0731c4d0bc", "1ad3f37ddc98", "c7e98f658a8d", "b76984ab09d3", "c221ac902e6b", "7c5cdf52424f", "b463cbb0c58c", "89ff01fccf30", "c84d28b84f4c", "5dc47af8639e", "3bd59c958f80", "e8514fc0a52b", "19e0f9e7e45c", "ef73f2f03e78", "110546e0aeac", "fdbe49b49c27", "39932f12b0ce", "88faafef9b85", "f26bf778dfd0", "e18f95c1136", "bea0a9d484f1", "bcee776e278e", "987d37cd4ddd", "8d6d65801a22", "635699764277", "40e5c0aa5324", "373dcba45dec", "34179656e2c", "315d78320cd2", "269214bb6c7c", "b4dfd32a8d90", "aa5b711111c5", "fa3b5f3f4442", "ef9df5e46bae", "d745c8a4896", "ccb4bfa3b05f", "c1ad4f0d796", "b702b8c35b2a", "a2a8e0e14913", "7d3e5a0b3928", "7067031d3bd3", "6c44f7673428", "2c9b24e8dfbc", "291db01a4aaf", "21f72e3083b9", "203d49f22393", "200644a3ea6c", "112616b073ad", "10d7c9237ff4", "10203d26219b", "fb424f7d6ce", "5eb7d9bdec50", "fc1202e093fb", "cf5862ae3d0a", "c3e98e05a9ef", "c15f5aa1d6c", "b823719776b3", "b38bc923db1", "b0c71f78e542", "ae4b00a2cdfe", "ab0212a39645", "a84612d7f6b7", "a62f28fa3c6b", "9a9cec915e9f", "9896cefcda04", "987d4a92e704", "95db317006d2", "926c4b4e6957", "8e73514ccb6e", "8821d9267cc2", "7f373ee928a4", "7e6f20e3a05b", "7d314bf43510", "741b08991b0a", "7297d35d6fa7", "6e66de8eb19", "62f85dff8", "5bf29a8a3380", "4df963d65189", "4c8312e173ec", "3b95f699f8dc", "37e61fde7585", "2b5307873e01", "26dba5cea91d", "1734fdd940f", "e038f19de4", "7c1828a866e9", "d9259b41277a", "27ed83189c91", "741b42218185", "e4c8fc17bd10", "1f63176e7c59", "ff5dbd5e34b8", "cfe579f14572", "16d62f443877", "a30c40c27b92", "4b47aa84fc4", "d425a7bf7e17", "bde6a477a8fe", "f956c63a9571", "1730896c83eb", "b23829578582", "8c38262e7804", "5cd62e752328", "2463b03e4fec", "2fa68a257a2", "9b9b5a558522", "3b4cab6af83e", "148acfe082b4", "1ad19b8961a6", "1849205b26d7", "c999520d1aad", "26bbf8ac413a", "f43b7f8ab294", "1ce7e64b601", "988ae1b5eb22", "9cb3959bfc62", "9e87a4b7430e", "1f143ca0492c", "3162e66330d1", "d215c0b84e88", "be45d1ab9198", "755512a464bb", "dd2c91dd1a88", "ab36f74296ff", "c8e994404e6f", "959b8306437", "959b8306437", "503e79922f1b", "2a27b76df6f9", "15459b7734f5", "25dc4900b269", "39b6e988e15a", "2986a6b47920", "dbfbd40186a6", "d932fa11358a", "e77f5aa3bbdc", "37509c1db875", "6ae7170eab9c", "a0e886db88a4", "8d3085faf01e", "37554c2b2f4", "2ba8ec9228d2", "ef6b656fc83a", "aa209fab00c2", "d0acde64adc2", "84580815f9d2", "738277c66b59", "591777a51a0b", "6d2359290ac7", "7a49aca65b85", "42e0902ac2c0", "5e094441af2e", "4da2320f7b01", "f4b00528d8c4", "cb5963863d9a", "1163a268bbf8", "3105f572a7ec", "351f12843f28", "4d9c0f2c17a0", "119ec0c9b3a8", "f4908e3ad320", "410db4f5a0dd", "842cfb44377", "a8acd0dc25b5", "c8f23609e7fd", "aec09b3f2c57", "7101e473d9b2", "65d366a308c6", "5bf4882d9b72", "c90d0cf5596", "3cff5f78d221", "53cae0db4aa6", "4c2e48a955c", "7e202ec9a7fe", "e1dde29db640", "11da16cca3e5", "571f068e22d2", "bdbd0b2a8022", "d3f57eafc847", "af23b0dc5634", "43bb130b236c", "350d30f511c7", "eff870d7210e", "68fa3b788e2", "e1ccdf545dbf", "67b54649234e", "b33754c9e165", "18f731ef6bf5", "c60bb6f7823a", "b69755d413a2", "5161d83115ae", "3398471a04aa", "42c25ef1c312", "6324ac13ab17", "baa703fdb3a9", "dcb576e99553", "b1b775613ce7", "a2c11dc80c68", "68edbcf4fc7a", "3ed469f03ece", "7ee72377ea9e", "a60a4246b015", "a3c5d5238a92", "de631b24e202", "474b5f52f8fb", "de09418207f8", "1a88acf2ef9", "8c80f37c6803", "33e800589565", "9ba11025fb37", "639131d2ce59", "ffaf04ef72e0", "1efbf285dc8c", "aebb3b89a71b", "db361444a5ad", "28c19543a1e0", "5360bdde4566", "d6b2235bb6f5", "4010f38d8d5d", "5ab3898edc74", "93c0d4b791b8", "7236d4aaabb7", "f4a20052cc56", "bed5cc4fc2cd", "28fec8c4af30", "145ccb561b93", "b70a05dceeca", "85ddd2e15ae9", "fbba8cbca847", "d9f433b1b270", "49e87e2cc65d", "9a342be43b4f", "29bb89a2d974", "59468a79983c", "8de99e0da8f2", "aa9dfc451e8", "2b0136e9ece8", "b53192bc26a5", "4e93c4cff640", "df7156674ed3", "8cdce824db56", "8c7ba0bc444e", "f28b460a04a", "e8dd8254bb1e", "bcc6e672745a", "1004e26d5321", "bfe136a283ce", "c6efe0bfbf56", "d199eb0037bf", "c3c41f46480c", "e5467fb7ca49", "f15b820fdc39", "833b5c307d23", "c30a73ef2bb7", "289bc9346bcd", "65edd67cfeb1", "607ba81d6252", "58380852ed16", "38042159076f", "f29c836df6bd", "860304171052", "1e72839d5999", "2d5a6ff13bed", "7cda12823b7a", "13e90cdd89e6", "20163019d0c1", "98fc88ebab7e", "4474de92b8fc", "8c7e9fc61958", "133f719fd47b", "bf5ea8e11f80", "62ad6ad8b15f", "11e5e7fb3771", "8f7354da9ac", "7913527fa2dc", "a2b0e26e9b8e", "312cd696706c", "7b965a981ce", "74eec53531c0", "6c9d5b577198", "484e02c96aa7", "8dfaf9ba5fd9", "8c62ef45570e", "6048af210e26", "a5d35fbaadc8", "f5a92cac16d6", "953ee567841d", "735b72b72e6c", "356ac6e16fe7", "347ab239337c", "fc1ff89d292b", "a2d48cfbbca3", "f4056db8823e", "467270b83111", "d38873cbc5aa", "9afbc5f0c340", "a833ce2e841e", "b7c3862d5333", "2add706706d1", "4487b764337a", "ac89f5052196", "bc156c8a41f4", "93e61a768b32", "90b9267a0600", "61d69ce65a1d", "6bd0a8d7aa96", "11f93f9d3bca", "70e27c29b343", "14c6e677f21e", "fb5a922b0650", "1aa0dfe48f30", "2cce0d27a17a", "e713e1f31a", "835ac5f0a899", "2b8f73675154", "d50b52a6aabd", "453670a3845f", "7c1e0db25119", "b48e50852cf5", "9549a5a87bd9", "34b85185f6a0", "44fb321083c7", "93659354cda0", "6edbaee01d5d", "7356c6cedd59", "af81e4a7ea8c", "d08104e2c206", "813c62e4d4c1", "5a425beaf13", "c56e6ef5af39", "2420a254aa98", "5806c6c99cdc", "77ff4e1bba2a", "3598416a19f9", "304e2872051", "2dfec8f2f0b0", "80a843e0fa6b", "b9b2cde34283", "c9d854a763cd", "29ef383ae5bf", "c980e8a2c527", "8346b8c62f29", "96d6ee505787", "62cc8fab793d", "851bc601b13c", "a57c2f55696", "a586bc473bbf", "7553b62f852e", "e953d7ecf989", "7729d3fcdacc", "97435a21fe67", "97bb0837f08f", "62efc3455ac0", "b49794f0c7a9", "b49794f0c7a9", "82bb8547197f", "c8e4a2027abf", "c4d12545832c", "36ff4286fe82", "70b4a6aa5aa7", "a1b1c406b9d0", "1565505e16", "c9b46d899b9e", "a7ae4785ba19", "df3997c527b4", "11b9a2e1a52d", "2a675ca66f5d", "f19c56481579", "39213a034ff0", "df820d26393e", "3cca97f294a3", "18568b4d786e", "e744b520732c", "1198bdc4b2e6", "3d58a1f4c539", "97b690706cea", "f8e65fb54556", "8a9dc64b7cb4", "a9bd17fe408b", "dfe5141278bc", "d5b24517a0ed", "28ce883c92fd", "5fbdc0d7a834", "b111eee95c", "76c303c51d34", "a10f780c95e6", "4352b1429f1c", "f5493cfbcf87", "1f7723ee7a3e", "f23a26bfe566", "447d494cb865", "5f41e82a2ff7", "e29e99a9aba7", "9c130effca94", "17fad401feaa", "5bcf310bded7", "77e245f71b5c", "1cd826743dc0", "7cf711dc17ec", "c59900360bdc", "1578151e227b", "af5dd753a801", "1444731888f7", "ddebaf5df39a", "73deec30c007", "6acd44090d62", "1c4b6493f388", "f41504f8784a", "ba45ca3d0a1c", "c1227b509002", "e6634241cbc4", "29fc96982cc8", "a55c10b17508", "8a6a0dc508d6", "5789b37189ac", "5e4204f97718", "89af8666eb53", "9360d8a8eb66", "890b9c5fd09a", "3c4fecc796de", "f7d668dcb419", "2a64ff880000", "a5c61bf2dc2b", "9f64d4afd018", "89051b7c318f", "4c85d3dc978b", "f03f9d9d9024", "8f71b95a613e", "193628e26f00", "11885125cf06", "94f1dd0e45e3", "269d818141fd", "4b7f7b47376b", "4e34ad3a671f", "92c51bb495e2", "9315af5d9c78", "631fdd92affd", "f44a37f05ca", "9cf248773317", "ec310f88b5d1", "fe7ca75d6886", "cca2029cc74e", "9e3b3ba1c282", "e2bb64db69dc", "e70feb8449b4", "780f7e26f132", "8a6a22744c8f", "2340c618cb77", "47b8b70a9579", "e61f97c76ec5", "e4925c2c123a", "4f8a14736b47", "2293b0945f1e", "e216d5295d31", "ab3997a2517d", "fcb4843df970", "15bcac37f621", "240283b68029", "ee4b4154f273", "e7e0c20897be", "464f2164bfee", "5ebdc01142d6", "f9d6d3f0a2cf", "42a3b83ad875", "23eb03157cbb", "f78b575ee6b9", "1c10ef17a181", "93ea35cd8320", "73e818cde5d3", "b9cd15a50188", "e1d3aff938e8", "4bcf049b8769", "8d4452b9f932", "d22b6f2bc363", "73d0fa760da7", "5128c10d3429", "b22dc9a63c40", "9b754083e5bf", "840deee967c", "ceb68d4fc169", "138fde5766c6", "f1198d8d9950", "b59771da48c8", "ec9f9723a18f", "c0dacd2be4c", "eddcd51fad78", "5eecfa17369d", "85cfa0bb93fc", "fc544437b8b7", "763eefb8562e", "41040b69669b", "7340c2b74379", "c131d3fbb644", "16d7c261b82c", "3cbe6ac3892f", "8f4ab8e831b8", "39b86c0523a3", "f01c05009e9f", "cbc872a7226", "6248afeb5d6b", "5153fde22cfd", "b46ed0d1054", "d35e957873ee", "e6d20ba43b03", "f7e1135beede", "4ad574edcc6f", "273c69a70a68", "5d2dec86f693", "b1a64eb107f0", "308952f71ae4", "49defdb86c72", "ec5d0a7cabd4", "a9058ad894b0", "6f3bdd6fd30e", "3d3d9a802134", "e5a97434708d", "ba0fa6107327", "4c22f4a19725", "51a646c6e3d3", "d0ab51acdf0a", "e0e853668345", "a6ce623152c4", "1a2e02d42d56", "ff700712180c", "8bd52d3628a9", "986718493c0c", "9b6937a8d61f", "41a8594f7ac2", "81cc2fe9724c", "18402a6b874", "8a7c05dbb6f8", "a2f43436659", "e790d4d1bbf7", "fab9538ae185", "f201a1e4d64", "4fe2388d8667", "4db925846be1", "354b2c35b902", "cc428ab18c9a", "ecb4628d2f9", "68ede7fc6c94", "9a2ed28cce6d", "4ca57b6a6dd3", "c35378387647", "32a558a0236", "ec5cfb83ecb", "9ee0c0d340d3", "a50db52bf0af", "9b295e137bc8", "5c121df40596", "e42be97ba2b0", "588185bed70", "4a2da724f329", "916252287586", "d62574a9c178", "c8531bf810d6", "cc87feedf251", "d624e9d9bad7", "d416b58db29", "e6a59fbd192d", "28384e27691f", "961d03fae4dd", "4f0e07e0cd4", "45a7055e0f6c", "6b750069b897", "794de251abe8", "8b3faf6ffac9", "ee3ebd19ea27", "eaa11bd99e4f", "6ca4c723635", "aceae91c271", "46217d2e5f5f", "ecab6820c049", "e22cab0fccac", "ccd4d181165b", "996d440aad63", "871e9b41bd7b", "54a277eaa03f", "45b9d51632a8", "e4569fc6667", "b1d022f73b09", "349726d0865f", "ddad8d2cacb9", "27098dfa58c0", "114a44c68324", "5792c8594783", "cefea92fdd20", "647d21429d01", "127426a1985c", "69beda1c49ef", "d06730236db8", "1a7661f07732", "4fa507dc4a5c", "277515b9102", "9ced52dfa62f", "7415c6de9463", "11c675ef5930", "1009e5d27ff2", "28d0c7765c4e", "17f94804c3d5", "1093d578d4f4", "b80df8b256a3", "23cef7e43020", "91504c797aa4", "7cf5e6b628ff", "25914e89f93f", "f0ef043c3559", "9e8133fcb4ee", "780866762df", "a4cc2ff6ceb5", "992085c0dce0", "8d94045a0953", "109c8dc1386f", "5de73fb562cb", "4555d4aeba04", "a39421edd8c2", "876e51f978bd", "14fbaf857bcb", "92eacf7f7e", "3cb46c309812", "a493e411f5bc", "1ef5df9d00b0", "103ec39b1df1", "80c14384da34", "64a73766ac17", "27ca1e213060", "ce1aa9496792", "fce1159c0748", "20f4cf8437c", "ec5592c72c4a", "37215e6ba6fd", "df69bf163ae", "8387012046d8", "150939c3c652", "28e82aff05de", "5ad5ce9cd2", "678c4eac7023", "651a72e6ed15", "7b6b8b3cae63", "5722e3152ce5", "e225f3656e6c", "65f49efe3c3d", "80e8f2faf4bc", "5fcb115bffda", "6d91dacdb2f0", "b6e3eb1e31d0", "ac1c5199a468", "d8ff26cd1a70", "d3ccece0d610", "76c320eaa5d4", "8259c215b23a", "d05534a63f59", "8f11e286f3ac", "c0ba420807e5", "11fc2135da23", "68799d14abf", "dd1059ef5a3", "7863c6527241", "2095dc5036aa", "759a0c777b02", "f39f5066c534", "a3a54ba3a5dc", "c6d555bf0a73", "a8aa5d9f1023", "d23c233c3b47", "e83e0283bff", "fc9e7c7ca6ff", "b94013eb7870", "11dbaebe8445", "aefe58b8f16b"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"search_query": {"type": "string"}, "users": {"type": "array", "items": {"type": "string"}}}, "required": ["search_query", "users"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/72bcb6b5-0c8e-49a1-b71f-45152412528e/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Search Tags | Returns a list of tags for the given search query results. (Max Length = 1000) | 200 | Response | {"tags": ["blockchain", "blockchai\u0307n", "blockchain-technology", "blockchain-development", "blockchain-startup", "blockchain-game", "blockchain-gaming", "blockchain-application", "blockchain-news", "blockchain-security", "blockchain-oracle", "blockchain-developer", "blockchain-education", "blockchain-wallet", "blockchain-solution", "blockchain-space", "blockchain-platforms", "blockchain-governance", "blockchain-marketing", "blockchain-training", "blockchainservice", "blockchain-course", "blockchain-adoption", "blockchain-certification", "blockchain-bridges", "blockchain-experts", "blockchain-art", "blockchain-network", "blockchain-consulting", "blockchain-companies", "blockchain-use-cases", "blockchaingamedevelopment", "blockchain-event", "blockchain-conference", "blockchaincouncil", "blockchain-tech", "blockchain-infrastructure", "blockchain-as-a-service", "blockchain-project", "blockchainappdevelopment", "blockchain-dapp", "blockchain-summit", "blockchain-simplified", "blockchainprofessional", "blockchain-jobs", "blockchain-today", "blockchain-investment", "blockchain-trilemma", "blockchain-in-healthcare", "blockchain-explorer", "blockchain-communities", "blockchain-ecosystems", "blockchain-for-business", "blockchain-scalability", "blockchain-protocols", "blockchain-business", "blockchain-real-estate", "blockchain-app-developers", "blockchain-nft", "blockchain-sharding", "blockchain-analytics", "blockchain-healthcare", "blockchain-node", "blockchain-week", "blockchain-law", "blockchain-for-good", "blockchain-supply-chain", "blockchain-layer-2", "blockchain-market", "blockchain-india", "blockchain-regulation", "blockchain-cryptocurrency", "blockchaindevelopcompany", "blockchain-voting", "blockchain-os", "blockchain-basics", "blockchain-analysis", "blockchain-hat", "blockchain-domain", "blockchain-api", "blockchain-101", "blockchain-hustle", "blockchain-support", "blockchain-economics", "blockchain-course-online", "blockchain4good", "blockchaintechnologie", "blockchain-software", "blockchain-game-dev", "blockchainapps", "blockchain-poker", "blockchainrevolution", "blockchain-usecases", "blockchain-tutorial", "blockchain-mining", "blockchain-casino", "blockchain-career", "blockchain-cuties", "blockchain-scaling", "blockchain-research", "blockchain-engineer", "blockchain-privacy", "blockchain-in-banking", "blockchain-audit", "blockchain-trend", "blockchain-industries", "blockchain-expo", "blockchain-waves", "blockchain-learning", "blockchain-in-supplychain", "blockchain-economy", "blockchaindevelopmentfirm", "blockchain-payment", "blockchain-explained", "blockchain-espa\u00f1ol", "blockchain-database", "blockchain-architecture", "blockchain-transactions", "blockchain-phone", "blockchain-hindi", "blockchain-exchange", "blockchain-briefing", "blockchain-benefits", "blockchain-iot", "blockchain-in-finance", "blockchain-phone-number", "blockchain-ux", "blockchain-travel", "blockchain-programming", "blockchain-identity", "blockchain-defi", "blockchain-whitepaper", "blockchain-life", "blockchain-in-real-estate", "blockchain-investing", "blockchain-entertainment", "blockchain-africa", "blockchain-writer", "blockchain-innovation", "blockchain-guide", "blockchain-game-developer", "blockchain-finance", "blockchain-data-analytics", "blockchain-banking", "blockchain-testing", "blockchain-teknolojisi", "blockchain-academy", "blockchain-trading", "blockchain-survey", "blockchain-metaverse", "blockchain-island", "blockchain-consultant", "blockchain-ai", "blockchain-government", "blockchain-center", "blockchain-monster-hunt", "blockchain-in-agriculture", "blockchain-city", "blockchain-insurance", "blockchain-dev-company", "blockchain-support-number", "blockchain-social-network", "blockchain-fork", "blockchain-consensus", "blockchainvibes", "blockchainhelp", "blockchainfuture", "blockchain-uses", "blockchain-forensics", "blockchainnigeria", "blockchain-traceability", "blockchain-team", "blockchain-in-energy", "blockchain-storage", "blockchain-partnership", "blockchain-meetup", "blockchain-media", "blockchain-leadership", "blockchain-italia", "blockchain-interview", "blockchain-ico", "blockchain-degree", "blockchain-based", "blockchainwevest", "blockchaindaily", "blockchain-token", "blockchain-stellar", "blockchain-start-ups", "blockchain-in-education", "blockchain-grants", "blockchain-for-dummies", "blockchain-developement", "blockchain-contract", "blockchain-blog", "blockchain-app-company", "blockchaingamecompany", "blockchain-tools", "blockchain-pr-agency", "blockchain-mass-adoption", "blockchain-lottery", "blockchain-layer", "blockchain-introduction", "blockchain-in-insurance", "blockchain-game-alliance", "blockchain-fiatexchanger", "blockchain-festival", "blockchain-etf", "blockchain-capital", "blockchain-assets", "blockchain4impact", "blockchain-stocks", "blockchain-podcast", "blockchain-number", "blockchain-lab", "blockchain-institute", "blockchain-dev", "blockchain-cardano", "blockchain-agency", "blockchaindevelopservices", "blockchain-t\u00fcrkiye", "blockchain-system", "blockchain-marketplace", "blockchain-investor", "blockchain-integration", "blockchain-hyperledger", "blockchain-forum", "blockchain-food-safety", "blockchain-certified", "blockchaincybersecurity", "blockchain-week-nyc", "blockchain-nedir", "blockchain-info", "blockchain-in-africa", "blockchain-impact", "blockchain-health-care", "blockchain-hackathon", "blockchain-classes", "blockchain-challenges", "blockchain-beginner", "blockchain-award", "blockchain-act", "blockchainerz", "blockchain-wifi", "blockchain-updates", "blockchain-seoul", "blockchain-pr", "blockchain-mobile-app", "blockchain-loyalty", "blockchain-logistics", "blockchain-javascript", "blockchain-game-nft", "blockchain-foundry", "blockchain-economic-forum", "blockchain-devops", "blockchain-design", "blockchain-ama", "blockchaincommunityindia", "blockchaincom", "blockchain4cars", "blockchain-ventures", "blockchain-the-power", "blockchain-term", "blockchain-techenology", "blockchain-strategy", "blockchain-story", "blockchain-software-mlm", "blockchain-scam", "blockchain-opportunities", "blockchain-myth", "blockchain-indonesia", "blockchain-in-india", "blockchain-hotels", "blockchain-hacking", "blockchain-fintech", "blockchain-features", "blockchain-certificates", "blockchain-association", "blockchain-advisor", "blockchain-ad-network", "blockchainukraine", "blockchainhlce", "blockchain-patent", "blockchain-login", "blockchain-in-retail", "blockchain-in-business", "blockchain-history", "blockchain-gambling", "blockchain-fund", "blockchain-current-events", "blockchain-bank", "blockchain-at-berkeley", "blockchain-advertising", "blockchain-advantages", "blockchaintechnolog", "blockchainio", "blockchain-wallet-app", "blockchain-video", "blockchain-smartphone", "blockchain-product", "blockchain-medical", "blockchain-market-size", "blockchain-ledger", "blockchain-invoicing", "blockchain-hub", "blockchain-fundamental", "blockchain-esports", "blockchain-energy-market", "blockchain-ecommerce", "blockchain-book", "blockchain-agnostic", "blockchaintrchnology", "blockchaintradefinance", "blockchainpost", "blockchaine", "blockchain-week-paris", "blockchain-supplychain", "blockchain-reward", "blockchain-prediction", "blockchain-monitoring", "blockchain-live", "blockchain-influencer", "blockchain-index", "blockchain-in-food", "blockchain-guild", "blockchain-funding", "blockchain-for-government", "blockchain-content-writer", "blockchain-charity", "blockchain-business-ideas", "blockchain-web3", "blockchain-types", "blockchain-roadmap", "blockchain-problems", "blockchain-password", "blockchain-maroc", "blockchain-lock", "blockchain-life-2020", "blockchain-indexing", "blockchain-incubator", "blockchain-in-government", "blockchain-in-fintech", "blockchain-game-design", "blockchain-financial", "blockchain-disruption", "blockchain-definition", "blockchain-business-model", "blockchain-app-factory", "blockchain-and-healthcare", "blockchain-3-0", "blockchainua", "blockchain-webdevelopment", "blockchain-video-games", "blockchain-university", "blockchain-seo", "blockchain-secret", "blockchain-restaurants", "blockchain-report", "blockchain-quotes", "blockchain-policy", "blockchain-news-today", "blockchain-mainnet", "blockchain-l\u00e0-g\u00ec", "blockchain-limitation", "blockchain-kenya", "blockchain-issues", "blockchain-incentives", "blockchain-in-kenya", "blockchain-immutability", "blockchain-hiring", "blockchain-gamin", "blockchain-gam", "blockchain-freelancers", "blockchain-firms", "blockchain-fashion", "blockchain-executive", "blockchain-digital-id", "blockchain-demo", "blockchain-degree-online", "blockchain-cruise", "blockchain-connect", "blockchain-coaching", "blockchain-brasil", "blockchain-betting", "blockchain-audit-service", "blockchain-attack", "blockchain-asia", "blockchain-app-services", "blockchain-accelerator", "blockchain-3", "blockchainlifestyle", "blockchaingers", "blockchainexpokorea", "blockchain5", "blockchain-value", "blockchain-users", "blockchain-usa", "blockchain-tycoon", "blockchain-trends-2019", "blockchain-token-platform", "blockchain-testnet", "blockchain-talk", "blockchain-security-audit", "blockchain-salaries", "blockchain-review", "blockchain-resources", "blockchain-questions", "blockchain-polkadot", "blockchain-overview", "blockchain-newsletter", "blockchain-mortgage", "blockchain-misconceptions", "blockchain-middleware", "blockchain-messenger", "blockchain-market-share", "blockchain-lending", "blockchain-internet", "blockchain-in-telecom", "blockchain-in-media", "blockchain-in-ecommerce", "blockchain-in-automotive", "blockchain-hype", "blockchain-health", "blockchain-hack", "blockchain-haberleri", "blockchain-games-empire", "blockchain-for-enterprise", "blockchain-dubai", "blockchain-club", "blockchain-based-solution", "blockchain-4", "blockchainwhispher", "blockchainverification", "blockchains-llc", "blockchaininpharma", "blockchaineurope", "blockchainer", "blockchaindefender", "blockchainagentur", "blockchain-world", "blockchain-workbench", "blockchain-white-paper", "blockchain-week-toronto", "blockchain-wallet-login", "blockchain-vs-database", "blockchain-unchained", "blockchain-ticketing", "blockchain-terminal", "blockchain-technolgy", "blockchain-structure", "blockchain-singapore", "blockchain-security-token", "blockchain-reputation", "blockchain-politics", "blockchain-paris", "blockchain-online-casino", "blockchain-of-things", "blockchain-mobiles", "blockchain-management", "blockchain-legal-firm-uae", "blockchain-is-the-future", "blockchain-in-logistics", "blockchain-in-health", "blockchain-in-food-supply", "blockchain-in-commerce", "blockchain-in-aviation", "blockchain-id", "blockchain-heroes", "blockchain-freelance", "blockchain-framework", "blockchain-for-impact", "blockchain-for-healthcare", "blockchain-for-beginners", "blockchain-enthusiasts", "blockchain-ecology", "blockchain-distributed", "blockchain-deployment", "blockchain-data-storage", "blockchain-customer", "blockchain-credit", "blockchain-courses-online", "blockchain-consultancy", "blockchain-concept", "blockchain-compliance", "blockchain-code", "blockchain-browser", "blockchain-blockchain", "blockchain-based-game", "blockchain-bandits", "blockchain-auction", "blockchain-and-gdpr", "blockchain-alliance", "blockchain-accountant", "blockchainwill", "blockchainusecase", "blockchainreporter", "blockchainonline-training", "blockchainn", "blockchainmir", "blockchained-india", "blockchaincore", "blockchainboost", "blockchain4armenia", "blockchain-wallet-develop", "blockchain-vietnam", "blockchain-videogames", "blockchain-valuation", "blockchain-time", "blockchain-th\u1ef1c-d\u1ee5ng", "blockchain-tc", "blockchain-talent", "blockchain-summit-dubai", "blockchain-summer-school", "blockchain-skills", "blockchain-sector", "blockchain-search-engine", "blockchain-search", "blockchain-school", "blockchain-reward-system", "blockchain-pharma", "blockchain-performance", "blockchain-meme-yooshi", "blockchain-life-2018", "blockchain-lawyer", "blockchain-land", "blockchain-is", "blockchain-intro", "blockchain-infra", "blockchain-information", "blockchain-in-sports", "blockchain-in-digital", "blockchain-ideas", "blockchain-home", "blockchain-hash", "blockchain-gossip", "blockchain-global-news", "blockchain-for-smbs", "blockchain-for-insurance", "blockchain-for-education", "blockchain-for-banks", "blockchain-encyclopedia", "blockchain-encryption", "blockchain-elections", "blockchain-democracy", "blockchain-dating", "blockchain-customer-care", "blockchain-competition", "blockchain-collectibles", "blockchain-bubble", "blockchain-bond", "blockchain-auditing", "blockchain-architect", "blockchain-and-education", "blockchain-analyst", "blockchain-ambassador", "blockchain-ai-market", "blockchain-activities", "blockchainweb", "blockchaintoafrica", "blockchaintechsupport", "blockchainsummit2018", "blockchainseoul2018", "blockchainreallabor", "blockchainpublishing", "blockchainpowered", "blockchainonline", "blockchainmodules", "blockchainmadesustainable", "blockchainit", "blockchainf", "blockchaindeposit", "blockchainchat", "blockchainbrad", "blockchainassociation", "blockchain-writing", "blockchain-web3-project", "blockchain-vakaxa", "blockchain-universe", "blockchain-trends-2022", "blockchain-trends-2020", "blockchain-trend-2022", "blockchain-transformation", "blockchain-taxation", "blockchain-supply", "blockchain-summit-london", "blockchain-summit-latam", "blockchain-stars", "blockchain-staking", "blockchain-stack", "blockchain-solutioons", "blockchain-solidity", "blockchain-smart-city", "blockchain-small-business", "blockchain-rpg", "blockchain-ravencoin", "blockchain-radio", "blockchain-provider", "blockchain-poverty", "blockchain-poland", "blockchain-pilot", "blockchain-organization", "blockchain-offload-engine", "blockchain-nft-italia", "blockchain-nation", "blockchain-minting", "blockchain-mining-attack", "blockchain-migration", "blockchain-messaging", "blockchain-magazine", "blockchain-land-registry", "blockchain-labs-asia", "blockchain-keystore", "blockchain-journalism", "blockchain-japan", "blockchain-iot-market", "blockchain-iot-companies", "blockchain-initiative", "blockchain-infographic", "blockchain-in-ukraine", "blockchain-in-security", "blockchain-in-recruitment", "blockchain-in-nepal", "blockchain-in-meat", "blockchain-in-marketing", "blockchain-in-financial", "blockchain-in-fashion", "blockchain-in-aerospace", "blockchain-hospitality", "blockchain-growth", "blockchain-genomic-data", "blockchain-full-node", "blockchain-fraud", "blockchain-founder", "blockchain-for-iot", "blockchain-faqs", "blockchain-explanation", "blockchain-evolution", "blockchain-evaluation", "blockchain-escrow", "blockchain-elementary", "blockchain-economy-summit", "blockchain-domain-name", "blockchain-disputes", "blockchain-devices-market", "blockchain-developmen", "blockchain-data-science", "blockchain-culture", "blockchain-conference-ca", "blockchain-coding", "blockchain-chip", "blockchain-chain", "blockchain-centre", "blockchain-canada", "blockchain-brawlers", "blockchain-bean-asset", "blockchain-based-payment", "blockchain-backed-lending", "blockchain-audit-company", "blockchain-atlanta", "blockchain-app-testing", "blockchain-and-metaverse", "blockchain-and-marketing", "blockchain-and-insurance", "blockchain-altexchanger", "blockchain-affiliate", "blockchain-2017", "blockchainzumcatwalk", "blockchainweek-2018london", "blockchainwarehouse", "blockchaintrucking", "blockchaintransportation", "blockchaintokyo", "blockchaintechnical", "blockchaint", "blockchainsymposium", "blockchainspielen", "blockchainspecialzone", "blockchainsocial", "blockchainshipping", "blockchains-use", "blockchains-next-split", "blockchainrio", "blockchainrelatedprojects", "blockchainprbuzz", "blockchainphone-number", "blockchainpartnerssummit", "blockchainofcustody", "blockchainmisconceptions", "blockchainlife2021", "blockchainlife2019asia", "blockchainless", "blockchainknowledgeforum", "blockchainization", "blockchaininvest", "blockchaininternetservice", "blockchaininsouthkorea", "blockchainininfo", "blockchainhowtochoose", "blockchaingaming-industry", "blockchaing", "blockchainfakenews", "blockchainexpoeurope", "blockchainerz-blogs", "blockchainerp", "blockchaine-tron", "blockchaincreativelabs", "blockchainconnect2018", "blockchaincoalition", "blockchainbtc", "blockchainatsnu", "blockchainappguide", "blockchainappdeveloperuae", "blockchainapac2018", "blockchainagainstracism", "blockchain4insurance", "blockchain4eu", "blockchain2016", "blockchain1", "blockchain-\u1edf-vi\u1ec7t-nam", "blockchain-zoo", "blockchain-workspace", "blockchain-wine", "blockchain-week-osaka", "blockchain-week-ny", "blockchain-walle", "blockchain-vs-dapp", "blockchain-vpn", "blockchain-vi\u1ec7t-nam", "blockchain-vilnius", "blockchain-viet-nam", "blockchain-venture-summit", "blockchain-utility", "blockchain-united", "blockchain-uganda", "blockchain-twitter", "blockchain-twincity", "blockchain-tweets", "blockchain-trailblazers", "blockchain-theory", "blockchain-terminologies", "blockchain-telecoms", "blockchain-techtalk", "blockchain-techews", "blockchain-tech-update", "blockchain-te", "blockchain-taxi", "blockchain-system-updates", "blockchain-suport", "blockchain-summit2018", "blockchain-summit-uae", "blockchain-summit-2019", "blockchain-study", "blockchain-strategist", "blockchain-stats-2019", "blockchain-startups-2018", "blockchain-startup-ideas", "blockchain-start", "blockchain-standards", "blockchain-speed", "blockchain-specialist", "blockchain-speakers", "blockchain-slang", "blockchain-show", "blockchain-security-audi", "blockchain-sap", "blockchain-san-marino", "blockchain-safety", "blockchain-robot", "blockchain-roadshow-china", "blockchain-rewind", "blockchain-revolutionize", "blockchain-retirement", "blockchain-retail", "blockchain-reorganization", "blockchain-relay-network", "blockchain-recovery", "blockchain-pune", "blockchain-puerto-rico", "blockchain-proof-concept", "blockchain-potential", "blockchain-philosophy", "blockchain-paypal", "blockchain-party", "blockchain-partners-korea", "blockchain-paradox", "blockchain-ownership", "blockchain-outsourcing", "blockchain-open-forum", "blockchain-october-2018", "blockchain-object-model", "blockchain-numb", "blockchain-now", "blockchain-november", "blockchain-notification", "blockchain-ng\u00e2n-h\u00e0ng", "blockchain-new-delhi", "blockchain-network-effect", "blockchain-nation-miami", "blockchain-monetization", "blockchain-momentum", "blockchain-mobile-game", "blockchain-moac", "blockchain-military-use", "blockchain-messanger", "blockchain-meme", "blockchain-melbourne", "blockchain-meaning", "blockchain-malta", "blockchain-l\u00e0-g", "blockchain-london", "blockchain-lithuania", "blockchain-league", "blockchain-leader", "blockchain-launchpad", "blockchain-landscape", "blockchain-la-g\u00ec", "blockchain-kicks", "blockchain-jury", "blockchain-it-enterprise", "blockchain-ireland", "blockchain-ipfs", "blockchain-intelligence", "blockchain-institiute", "blockchain-insider", "blockchain-infografics", "blockchain-indicator", "blockchain-in-workflow", "blockchain-in-uzbekistan", "blockchain-in-use", "blockchain-in-transport", "blockchain-in-tourism", "blockchain-in-restaurant", "blockchain-in-metal", "blockchain-in-medical", "blockchain-in-kukatpally", "blockchain-in-industries", "blockchain-in-indonesia", "blockchain-in-hyderabad", "blockchain-in-hr", "blockchain-in-healtcare", "blockchain-in-gaming", "blockchain-in-future", "blockchain-in-farming", "blockchain-in-europe", "blockchain-in-energy-mart", "blockchain-in-digital-art", "blockchain-in-china", "blockchain-in-asean", "blockchain-immortality", "blockchain-hong-kong", "blockchain-hesab\u0131", "blockchain-helium", "blockchain-health-records", "blockchain-h20", "blockchain-greece", "blockchain-golang", "blockchain-glossary", "blockchain-github", "blockchain-ga", "blockchain-g20", "blockchain-fstival", "blockchain-frankfurt", "blockchain-france", "blockchain-foundation", "blockchain-forum-beijing", "blockchain-forum-2018", "blockchain-for-ticketing", "blockchain-for-shipping", "blockchain-for-scm", "blockchain-for-kids", "blockchain-for-fantasy", "blockchain-for-creators", "blockchain-for-brands", "blockchain-for-beef", "blockchain-for-artists", "blockchain-fitness", "blockchain-farming", "blockchain-fantasy", "blockchain-family", "blockchain-fair-asia", "blockchain-fabric", "blockchain-expo-london", "blockchain-exploration", "blockchain-exhibition-nov", "blockchain-exhibition-ca", "blockchain-exance", "blockchain-event-thailand", "blockchain-event-india", "blockchain-event-2018", "blockchain-eu", "blockchain-epr", "blockchain-eplained", "blockchain-enlightenment", "blockchain-drk", "blockchain-dns", "blockchain-dispute", "blockchain-devices", "blockchain-developer-list", "blockchain-deutschland", "blockchain-death", "blockchain-day-2019", "blockchain-dating-app", "blockchain-dat", "blockchain-custody", "blockchain-csino", "blockchain-cryptography", "blockchain-crowdfunding", "blockchain-credentials", "blockchain-costa-rica", "blockchain-convention", "blockchain-control", "blockchain-contact-numb", "blockchain-consortia", "blockchain-consilium", "blockchain-conferences-la", "blockchain-conference-ga", "blockchain-comparison", "blockchain-communication", "blockchain-commons", "blockchain-comic", "blockchain-combination", "blockchain-christmas", "blockchain-cho-du-l\u1ecbch", "blockchain-center-vilnius", "blockchain-casino-top-ten", "blockchain-casino-game", "blockchain-carbon-neutral", "blockchain-camera", "blockchain-caisno", "blockchain-cafe", "blockchain-business-plan", "blockchain-business-forum", "blockchain-buisness", "blockchain-bug-bounty", "blockchain-bitcoin-gold", "blockchain-bft", "blockchain-besttrading", "blockchain-beneficiary", "blockchain-beef", "blockchain-based-shop", "blockchain-backer", "blockchain-backed-bond", "blockchain-backed", "blockchain-awareness", "blockchain-at-india", "blockchain-asset-weekly", "blockchain-asset-market", "blockchain-as-service", "blockchain-as", "blockchain-article", "blockchain-art-hackathon", "blockchain-arbitration", "blockchain-apple", "blockchain-api-pay", "blockchain-and-water", "blockchain-and-me", "blockchain-and-energy", "blockchain-am\u00e9rica-latina", "blockchain-algoritmas\u0131", "blockchain-alert", "blockchain-aggregator", "blockchain-agenda", "blockchain-ad-auction", "blockchain-ad", "blockchain-abstraction", "blockchain-2fa", "blockchain-2019", "blockchain-2", "blockchain\uff53upport-\uff4eumber", "blockchain\u0e04\u0e37\u0e2d\u0e2d\u0e30\u0e44\u0e23", "blockchain\u01b0", "blockchain\u00f6kosystem", "blockchain\u00f6demesistemi", "blockchain\u00b5", "blockchainzooindonesia", "blockchainzcoin", "blockchainyusra", "blockchainy", "blockchainworldwire", "blockchainworks", "blockchainworkforce", "blockchainwithtraval", "blockchainwithinpeople", "blockchainwiselycom", "blockchainwire", "blockchainwet", "blockchainweekpuertorico", "blockchainweekend", "blockchainweekbusan", "blockchainweek-nyc", "blockchainwashing", "blockchainwalletissue", "blockchainwalle", "blockchainvizag", "blockchainvirgin", "blockchainvesting", "blockchainvalley", "blockchainv", "blockchainutilitymarket", "blockchainuseecosysytem", "blockchainupgrade"], "search_query": "blockchain"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"tags": {"type": "array", "items": {"type": "string"}}, "search_query": {"type": "string"}}, "required": ["search_query", "tags"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/0de996cc-623b-4a3a-b913-fc0b0f472756/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Search Articles | Returns the list of articles_ids for the given search query results. (Max Length = 1000) | 200 | Response | {"search_query": "startup", "articles": ["3b6b3e29b318", "ab6cc72fad0e", "e07b3cd5fd5b", "40ca3be4fa0f", "6df13d23689", "b07ba29309e", "b049d4a67dd2", "182bf2e6a53a", "7e1cff3a7f3f", "15c31213168", "f0ec3a92bc3c", "2c81556edce5", "3859b14f4560", "1fb5c498391d", "b03a9cb05cb9", "f31ac6f74308", "addc4d8fa7c2", "604143b21a61", "574ced8acdff", "51a170dacc86", "72c6f8bec7df", "45390f460002", "ca1593b2ca7f", "cc0abac4de2c", "dcfc2b7f00d0", "1eed3594b121", "ff96ac1dd967", "ab20f75941a4", "4d834e1df8c1", "dcf8aa06e0fb", "80d022a18aec", "b3a29748d61f", "424d5cb75473", "44658a116464", "66312ac70fba", "7d5383997bbd", "e5ff64c933d0", "2645c4ca1354", "bbb4b1122e8e", "1d2176f20ac1", "1eead038c372", "e9f9b6662afa", "9fbba4f1fa15", "9f5bbf7a1a2b", "defb0590e049", "5b19dcbb3c29", "f4695d2f4b7f", "ecff2a4e701f", "e5dc06e72549", "53f2f63ded49", "3dc8433162be", "51b151724a01", "53a9597c4d61", "be120dc390cb", "15c3724038b4", "6b4df48e1744", "2a57c0e98090", "1edb39ade018", "7b6b60e9e8ff", "e36143e4c3ca", "c6323d9ef19c", "56674e7e08ba", "af45eec09406", "7d3ddff33bdc", "edc824417878", "b25084ac55aa", "66a5a0ca3055", "2db31984867a", "cc458b6d821f", "e87c5b344909", "3973894d47dd", "602f7ac97ace", "a36831da4102", "4394130cfa49", "c6fc061fc30e", "831e74d5c6f8", "964d434ddd40", "e06135e62254", "4c0f6737fdfb", "635e7ed00fa3", "f8354f76bfa1", "8ba2f1774789", "9c6e9f935865", "786f6746a59a", "bd4d6c0872ef", "917c30103ecb", "97279b532b25", "7e8c09c8de1b", "4ff6539868e6", "d7a7d1780ddc", "aad02b2354c", "ecf17c642534", "5c4adddb7b04", "d275c15ff702", "5bebe0f89e14", "cc97252e644d", "5d3a4bd8ccc7", "c5d64b3ae96b", "b79c57318113", "4c378f961847", "e9be14a1f662", "1f82a00ade34", "db626d11b6d4", "a8ed3eca91ce", "92f59e22bd8c", "1214d572044", "ab019177aee4", "448ab22aadf7", "8561bf7eebde", "520d37c5c1dd", "4c88d3884f73", "8302ea640f6f", "41e5785e0b4e", "e8cb800c28b8", "29ab85d3a3e1", "2db5049f2c86", "f7997588132", "e91d4082994b", "54ba55abf1e6", "e782380c2b55", "6ea7a7d8c7ec", "b825d5517b92", "5332a1f9085a", "81153cf5e7a", "53771c86590e", "b085e8885d93", "c078161e5a8e", "e158068b36f1", "a393f6fadc6f", "d7de540c9bc4", "ab6df6b3e775", "26d18a2077bf", "6d3817933f8e", "80d5e710c2b2", "97a02cfa5e7", "30d746d73506", "cd2f7a38e939", "5531d8cb770d", "13895d07b2be", "abaec235c2eb", "71e0517294a0", "b0dd7678ce7a", "97e3f6adf39c", "def60d1c0402", "fa288f30010e", "3c95a96ba836", "b40a543733a4", "500677f45024", "d26b0ec05c94", "c166d1cfb8b8", "76a71edc4af8", "e932bc33f866", "4739ba0374cd", "f9a4b631de61", "484ab6fad6b5", "436aa8099e8", "7acd397f5df6", "b0a2b9d43795", "daeff633fe7c", "21834f46740b", "5219623a197a", "554e44675f60", "94ef449a058c", "dc17badcb351", "85ada592bfd7", "954f81ca6a18", "1c878599baeb", "7213650e5d8d", "24a3eef619c1", "25c5e0c877ed", "490d9ac04041", "b21496b0ec44", "9bebdd328bfd", "ea41ed0a2f8c", "c61913df3bb5", "2d5fe294ec56", "42f5df423b59", "25b830afbd84", "122bdadf5775", "e1582c99bef5", "7a8a529b4ee4", "c030016398d2", "3575332f2955", "a9aff88bee7e", "d8b57db375fd", "14726f22c5d1", "b3cb73fc99ab", "b0af17b65059", "65bd37a86ae9", "32167cbef213", "1f70776193e1", "882b2bd20f02", "e64ee610511b", "352923a53dcb", "28b288391f07", "2f133f2c6741", "cae616a44b99", "41b6563f946b", "18e9c3b4e796", "4fdf08b1e2fa", "43f87fd3b620", "828250a34a7d", "3eecf764e8e6", "bc7040667f2", "cb434f47e502", "b4a123c962bb", "1b099e635f6a", "3fad6fb01215", "45b1854cbf99", "1df4de6221ac", "7b6ef70ba0cd", "a6680ab178a6", "dc849621262f", "7c50d13e1516", "1da10d7c8a72", "fd01bd96f908", "bbeb0f8648ee", "ddb6f378f260", "4b5e0221d58b", "921f2c60226e", "29dc33f52c6c", "a7afd8c3e708", "8728bdad3e8a", "20349ab07ab8", "97092bb37344", "b6af294793dd", "7d5ec4b8c81b", "e2aefab8a0d4", "5a56f3695732", "5adc112e1259", "7ab215c378bc", "a5c9e9c558f6", "417cc0d9f570", "9bf66d3f5ba7", "91636119ffb", "e0cfd1ad11a8", "569146213c0f", "1d4299e5163f", "8b41d83edb84", "523a4a906fe9", "ae47bf218c0e", "d1de2ecf6f06", "110432adf199", "facef8f4a5a9", "8569114c27fb", "e886c3dc9006", "4a8ae903f08c", "1beab92e3c45", "94fb70683834", "6fa57bfb1f0e", "9a2840d78525", "8776f0cb0ea7", "db6bbf954273", "8f02d7eb07a", "f5b75be7c5b", "f4badcd915fb", "435838365814", "5f034e6cc830", "835f6a3c9a2d", "7d33811da15", "6755936efc88", "9d7d1854937a", "3e99f277df51", "64e2bc8ed1a8", "f10657724b2a", "f051116ddf83", "97e6d98e963a", "da07723ff545", "5d6a32c3699f", "5d6dd66b177d", "b6f4d68d7da9", "8cc371be772c", "654b0b7cebf7", "6e1b8bacb7d1", "e4f002ff3ee1", "40d083e5dbdf", "85d010a9f10c", "973c3d5b1ce5", "ad1ac77b7b75", "cfef07957d89", "f8e3f41f65ef", "97e64583fd71", "985fd9b91cec", "5d5704dc7e84", "37f7a4b9b22e", "5ba47ad35d0b", "74e945869ca4", "527a04e67d6d", "dbb58816c9d9", "5454c952540", "b192f52fc45f", "e92f3016c4d9", "acdff869fec5", "9db6aa524f5d", "fc457e48886f", "4aa9a17b9afc", "f9577c5e3798", "207fea92a8d5", "9b2fa0bf1c91", "3d67925b77f7", "d81e0b7cffcc", "a977d69ff073", "64207fb260c2", "7241e15ffeb1", "1cec58faba1c", "c825f89ede12", "6e8835342796", "53d480535916", "5c45a07ee7d3", "6038bcb0b7cb", "ae89673d4bbf", "642429badc28", "3c3ccf6d634f", "33989e2be3d3", "489db6e48f2a", "40a50274eb60", "2d62a5b10f9e", "4a37e07de3c7", "46a7a4fca5cf", "df5830867dae", "6b5d5856e6de", "e007e62c8cb7", "6f0dd86ddf95", "74ced4f9e86c", "2af0c71ddc10", "5358561b55dc", "31551809710d", "196df41742", "ddf466ba0794", "2ca2cd149c5c", "c85384e8f7a0", "e5ea89b4d2a1", "921f5742172", "2875a1b51d4e", "afe675c64340", "edb7d0d171da", "2a6344055f7", "a9aef6987031", "efec21e0aaf9", "7264ce58e988", "7c2ecffe66ea", "dc6c33e09d99", "2440b61f6d36", "62be1cf086b", "47a8b0955e78", "ad1e44b8d3d1", "6aac8cfa51dd", "47166580ee48", "a19501560e63", "d4f7f844c53e", "5d16bd1fdb3d", "7ccd7bef52a9", "2434c210f537", "ddad309baa23", "6f83ad3836fc", "802c1da00ca5", "51e6aa45a82a", "5f205e4d26fe", "526a8bc33c2b", "6c54bd68c654", "26bc66d4be8b", "aa56d6e79f92", "a3441c860c75", "b35cb65f8774", "f3262fd62e24", "ee38a3f44ecd", "91bee1540e66", "f9ca0799b026", "78dc6a906aa6", "9cb278bb7d4d", "e38ea2df26f", "feb75b679885", "ccb0af91f05a", "2723e7a169d3", "6a7a9187023c", "6864bba5a6ec", "a60dbac2d060", "b730b22759e9", "7a89b9d7cf4b", "1234d5c4145b", "677a8e6c665b", "bdd5628467dc", "e43cf7fd9fcc", "3db1cb6c7089", "296d15521d3", "360f1e6ab1e2", "c04499002801", "a0f0b5efe2f3", "452f6ea28339", "5294dd05e5c2", "bc1f9888de39", "f1941dee63bf", "cba75583365e", "cd8aa8a4593f", "95de44af4c31", "8a99b85baecc", "c5d0570033b2", "4d90b58323a3", "4f64b81db796", "93635feb5ace", "de2c86d2fce1", "91b172de8d0a", "bb41764de17a", "c24d5408256e", "f65152dd3e5c", "c6af249a694b", "b20b463e0058", "792e3b4c7914", "93dd2814a279", "ce4880498257", "770edc55f175", "7411c28e6174", "44dabe155e51", "aee45e8c87bd", "55ba43214ba3", "877943fb3b34", "42ab823d9454", "5b78e0fe0e52", "9446ff9bbc87", "501ae81d28aa", "d5d602ad21aa", "fc1e5c60c6ee", "9d680e1198f1", "aedf4bd4393c", "9c6f286b4f7b", "8604a1768a89", "377e9f27dc45", "c0baf9f4d9ad", "7d73c474b98d", "822d65f9a19", "94953fdaf27a", "657a1a3332e2", "a2e1b9f908b8", "628627abfc42", "9952226580b", "f4a41aebcb31", "f34686e672de", "ae9bb52fb128", "c0107fa33b17", "f4a2ba728e75", "7554fe2a71d5", "e40c0b060de8", "5216ca0e8d5", "9c4bed51c969", "c702fdc0feab", "c89bdb1cc827", "248083eb0c34", "9be6ea5da8ab", "88161dc707a0", "cc52fdce562e", "d048dc080259", "d651cfe0da8", "250b5fdcd1e6", "7f23d06eb1f3", "8412e1a18dcc", "8fa4bbebbdae", "cd45ff80e6be", "19c5537e61e1", "7b0272f74c23", "b6fac26f7999", "29b01cce46d2", "a582cbd49286", "f751e27ba352", "e9f2f7b31b0e", "9b5e804bf319", "ed76cbf694d2", "e520e11263d4", "fbeebb9059ce", "a268799325d7", "f3b3540f8545", "2864211f4f66", "a95f936e8b85", "87afbc3138ad", "8097b5fb5dfc", "5320cdf6f820", "fd34591c1b28", "f68efc61c599", "fdbfec156297", "9819b6192918", "a6e58bc21dbb", "39b032f4536b", "217f4b980738", "648fcdbc4e87", "5228111b275f", "526915751b0e", "f56d99bb9f1", "9290a5183ee9", "dad55578062c", "b8783d6b0f1", "2ed31173610d", "36cc54b53b5", "32305d628928", "cc79630a0e42", "5cb4db031b54", "4087b66952a1", "10738255d1e0", "f1c76cad4b0", "b2565a5144a5", "fce8c1867828", "e52b12cd7f77", "9c6aa9660941", "86651962bc99", "391e69ae42ba", "dd724f2ac43a", "3a526ffb040b", "121d72baa573", "6c9e5fb0f9e2", "de759d90cc8e", "60a96555abc3", "427532605f46", "69443af1f246", "913a91353eeb", "ea8c0e1ce86d", "cbbab1b6c53e", "3471cf5cd396", "7b8daa6c209", "30a3752b09b9", "1f45534e38a2", "89b9dcada75a", "e308112d8d3a", "7f732b706c9", "3a00145062d5", "e5abef5a0e50", "5a33dc8acf2f", "b9d76027468e", "d393a6464e6e", "cbd3a137f285", "53c0d62fb6f7", "6dfe08a9f37e", "759fd0f9130", "c4f172d5f7c9", "2d2aa1f1f56f", "796f6ea2629e", "c13c9d18696e", "de662293e999", "35195cf45c77", "92e107a8b2b3", "9ba10a087cd8", "1b01111ab40f", "9bcd4a79ccc0", "25ea970f0b0f", "c3003615f3bc", "97f68ea14c28", "d96888ba956d", "79aa380a0a2d", "eab06161f6b3", "23a55207ac5c", "3f3d9d491caf", "314fee314391", "d15df45cfcf5", "34d7fb757317", "408ecd28bbb7", "667529a297f6", "6dcaf0cf8a7", "145836593704", "a7b3f7176fe5", "2913d1b76583", "141e405e9447", "6e1d18a4f7ab", "6eade3bfafcb", "b274f012e1a2", "79790e2d93ff", "f185d6642efe", "34bdd3cbec4b", "d0571c855a0", "f5e7f7012ee6", "ae93fab80cad", "a83a80f3b3ae", "194a2ff0cb78", "4473e2a909f7", "1dededaf18bb", "306ff3856e0d", "d5779ccb9b00", "f4b719125e63", "9b1e144204af", "d6a65820728", "94a7d8a037c1", "43592a4414d", "eac0c59f804d", "463b09efff68", "22687050ee91", "1c2cfb6674d2", "c9b662aafa74", "ceacc107a30e", "f445f9a7ff46", "698855342f80", "d9e262c5cc8d", "e74b27618fc3", "420629989566", "286afd94a29c", "b14a29b2f920", "6a520beb6c32", "ce2c4f6456e6", "28c73f87e21c", "ab45f3f4af96", "91c8a8ec9fca", "4dffa15ef415", "57958df553de", "1f4c041e8715", "cf0fbb2a39f2", "c5f21e255e74", "40d4d8af8009", "25afc92c6531", "e505c798ce77", "9bee32fd47dc", "34bb70354a36", "1d20f1560ea", "98a1925d7ca9", "a0aa23dd8fa9", "9836f4a120db", "2fbacd157df9", "f8fca6c4f943", "c12b279814aa", "e9851151364a", "4209154ff319", "11415a81ed23", "9a0d4efe69e9", "70b9551f3e4c", "26354b13ffe4", "9e20d945c712", "f2ed946c43ad", "859a42e21394", "34cb8bb7ef56", "581eafe8c27d", "dc132fd21a40", "41363df2e2dc", "6d18e80ccc9c", "e86d4f7c483b", "4ff376b4ebe5", "40df8c2ddd19", "ba8684000128", "a1d24200e4c7", "6c3081649ebd", "970d728059d", "80c628c4fad8", "eb45dd7f3dce", "ac1d28b392ec", "e1dc0f91394e", "d63b83da07cf", "4b868a2b60fc", "2cb965e6b888", "862c01d07f30", "46ace259777f", "90274c91f5c9", "ab3196d70568", "9265c45eef38", "2facf2dde81d", "716118cd5c1e", "5dc466af375e", "96f472bb1666", "d803992a39c6", "98e8ecf64ef3", "fce174a67a9d", "c5be94a4f15b", "f39fb4221053", "7497da92e38e", "51d5b668457b", "5cf07b117562", "1eba03df071f", "bc413a620896", "908d76d03716", "8857c70832e4", "4dc8faecd305", "66e3aded56c8", "a2754d362e8e", "b76b0359b933", "ad796b79502d", "fd972380d433", "bf53f86ca4d5", "9ee29bcb8a89", "cf86934c3e73", "3b563251c752", "93bf13dec289", "e8b5fbd81724", "7f2a81509036", "c9070d74ce49", "8429ba553627", "6e4624bdfe20", "8a0322b88a55", "add8b1c65716", "d84f7ec300c1", "2fc54ef5b571", "7ff1e91f6d71", "a174d76e282f", "b13510506d99", "b454be3ed5e2", "f3516eda4409", "ec6a32ce19b1", "773b62cced65", "7b6765e07c4b", "6bda3a979b84", "27ed506f738c", "2b7c99580992", "3e08b0723d8f", "51173a0ffcf9", "b1c206da808f", "330047e97566", "dfd83e8fe687", "cacc699f1bfb", "335dde15b0aa", "93f3237365c6", "60d6463bcc56", "308924cb5324", "38e5962e2d9b", "e5c3fad1cdd4", "4eb6be23c941", "bd958f5e57b1", "98c9fe4261f8", "1f854b6f494f", "5f8e41724f9f", "375e3ffd842", "8c15c2b32ed", "1104b0ac58f9", "1dbb6bc66874", "1226fdcec828", "778b55b71706", "37278610026c", "ec4aae9de5a8", "b6be1fa407bc", "f19cd71d3f31", "6f392d67deca", "e577cdbca479", "96bcf5ee6066", "9c7e0f917712", "25b056f5f80c", "bb953d6a2802", "cabf02c54060", "f84216fad869", "922559317f94", "23710436143", "5b695cab5707", "3b912fe95f32", "61cd3592de01", "56caf1b873fd", "32222636b654", "4fa62de31e8d", "53905b429bf1", "a9e109a2f254", "36169c27ee55", "97b9ac737597", "5a216051a39c", "c488dafdef27", "ee3ad0389040", "c890aa6af15e", "4f42d4d7a076", "d991d559e9d1", "b85f7586353d", "d393218e3745", "2920eaa201e6", "d7f589d49101", "4b4520fb5db1", "6030c0db5f2d", "eb44d346c838", "6e5342559bf6", "206daa9c912d", "b63bc383e1d0", "c44575a87fd7", "626d484e2e5a", "5e711d9819b7", "f2e3bc59cbcc", "b3a96db3519d", "dda457e1dbce", "2baa5d5800e9", "45db2aa3aec8", "e0c28f47d8c0", "13194b7346b5", "7ed47431ec8c", "9121a887a2e8", "68b95b8dd92b", "af42e8631b0e", "9d456b0c3278", "5ea7e957e90", "16ad94f090f9", "ffe63bb3f892", "8a9976dc62b0", "f1365a7e7254", "c87438a192ad", "446d8b1239fe", "d3a846544937", "979c155b2b20", "a4875f22974d", "835128b18816", "15ab0109c16e", "9b3d337c08c7", "3fb1ed92bc94", "12a960d97163", "af1e8d76c39a", "20acb7eeb7ac", "6ec7369d94f9", "f37080944280", "e0555de6ea7c", "cf5fc42a8454", "be3f60bc4690", "e68063d0742f", "c95a04cfd9d5", "551a42399400", "434a644a9b91", "8b7dd05806f0", "5d5c43cf3376", "f175c12ebc68", "1ccf395d1107", "3023a65c4160", "98fae5eb361f", "b88c17937d54", "7d568c736d90", "3b01db1405f9", "c75417a8d5be", "569ae7f6ac0", "e7481dc2c475", "2d791bbcb577", "f6647156e28b", "ca0a186e0bd4", "d900613b2715", "3e5ae3e8971b", "4913c05e7820", "c099daa7178e", "3a116329cf2c", "2f2e8848e6b7", "d01cab289102", "48551e108b99", "9a0b29e711bb", "1dfe8bba52ec", "c1d33d153427", "356d74ad3ec0", "73dad231c71f", "2fb10201241a", "3c5194fb7ee8", "6861134d39b2", "7dc6ae20088", "b6694ecbbb6c", "ba53330e857a", "16aee311e794", "193e2a0ef824", "65a1de972cd8", "3d17ce9fea59", "65ca6edb3dbf", "7e0d71810aac", "1bf35b996808", "1023cece510", "d9f674363d5b", "43267ffa2be9", "599411bdfb32", "a4e63f4e62fe", "f8b02dc34020", "704628329a06", "e4cc239fde99", "7574194735a", "b633c6a721d9", "783f6a3d0831", "a5279753324e", "b123a9e0bf68", "22efb3e31bef", "1426c6c7e2b7", "455b034e93e8", "417be62890f1", "790483408240", "291da5ab1238", "23b6fc639854", "a4efdd6eb1b2", "99b5fd341aa3", "5e55f9fedbf2", "eb3fbdc4e732", "42f06f2a7075", "6f4f7f1808dd", "a5bb6d322dc6", "41ea2993b02b", "90690d7d6109", "2f538e80c3da", "f107fc3cea39", "f07869bfb18b", "4354dbeb8c33", "ca7fca624da5", "1543ce25b208", "d177dbff536c", "bb0f17ccaf0b", "877cdff143d3", "de456c498cae", "6a12b48f3b97", "469793baad1e", "ec88ba8350e9", "84c0bc708da", "524964f3e366", "34cdb5b729d5", "ba22d24e7a2f", "e4d764e50e66", "833b53387936", "70a276e5bc74", "bf1bdcf675b8", "5d2e7d436a0", "1e870ec3089b", "a6f1415047a0", "72f44f6fbf79", "76ca44665ff5", "7f74d5a3a14d", "4ff70b72331a", "374c80a06862", "e785018482f2", "a9a397af9221", "dbcc83aa5495", "4a3e3a36b950", "2cc95cc9d62f", "8904ca300794", "543ae2d339b2", "85669bcbf5b8", "fab2b76b6420", "19c9a2f444b", "eca5a61224fb", "1179bb531de0", "6ab2231d86e6", "1a52111da78a", "c2778fa0689", "130a758692e3", "9d5bb83510a5", "aaec443bc396", "d9a2c5911d82", "1f4dc01a44b8", "3be334715784", "fb5389982348", "bfb650e9afaa", "9e81c7a182af", "6ebe9b5d832b", "d82d95a22546", "1b4204bffef6", "92cff1185780", "a2caea591f73", "56dddc17fa42", "d344c822f757", "ab08bf839882", "e787ba4c4c06", "409e959a150", "10c0fbfe9df", "6960005a588", "65917076aa51", "512ee0654fc5", "e73e16cd4c5b", "2405ea1178e7", "bdc25ea7f39a", "4feb328b821f", "8a05e2370c3f", "a8dedede4e34", "cca5373a903b", "33b29893e034", "3ba50a95c616", "2b884e71ba3a", "7dcaf7da9fb6", "2294a038f02c", "a22b81aa7622", "4aa211416546", "e18dace0cfa7", "f82bf142261f", "24ef10da0534", "6bccebd17d84", "6ed9fca1ba88", "31e6773bf807", "626979ef2951", "1cffd6626edb", "584d45e62359", "70cf71e08024", "edeced0a387c", "ed6f14ff7692", "15fb66e0f3f0", "19836848b6c5", "bd6ae0a32a56", "a8734fe19589", "dcbffe5c004c", "4180b792d7ca", "765270871ee4", "d9f10b46770f", "c6a1d2ff4820", "355cb5944f9c"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"search_query": {"type": "string"}, "articles": {"type": "array", "items": {"type": "string"}}}, "required": ["articles", "search_query"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/7e5fd7d4-4942-438d-bf37-92ece53d82eb/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article Responses | Returns a list of responses (response_ids, same as article_ids) for a given article (article_id)
Note: To see the content of the response, use the "Get Article's Content" endpoint | 200 | Response | {"responses": ["a9bbc22aa1e6", "3308e927204a", "77c3ddcfebc6", "b1fcf9f36d87", "295b0938fd49", "cc14e813995a", "649b48584efb"], "id": "67fa62fc1971"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"responses": {"type": "array", "items": {"type": "string"}}, "id": {"type": "string"}}, "required": ["id", "responses"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/9d1b5b85-7242-4f97-ab34-4fe0d27fe7fb/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article's Markdown | Returns the markdown of an article/story from Medium, for the corresponding article_id | 200 | Response | {"markdown": "### [Careers](https://towardsai.net/p/category/careers), [Data Science](https://towardsai.net/p/category/careers), [Machine Learning](https://towardsai.net/p/category/machine-learning)\n\n# Why it\u2019s Super Hard to be an ML Researcher or Developer?\n\n### A Realization that Literally Changed my Life\n\n\n\n---\n\n<iframe src=\"https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fanchor.fm%2Fnishu-talks%2Fembed%2Fepisodes%2FWhy-its-Super-Hard-to-be-an-ML-Researcher-or-Developer-emsrpv&display_name=Anchor+FM+Inc.&url=https%3A%2F%2Fanchor.fm%2Fnishu-talks%2Fepisodes%2FWhy-its-Super-Hard-to-be-an-ML-Researcher-or-Developer-emsrpv&image=https%3A%2F%2Fd3t3ozftmdmh3i.cloudfront.net%2Fproduction%2Fpodcast_uploaded_nologo400%2F10759800%2F10759800-1606157708107-a5012566fbed8.jpg&key=a19fcc184b9711e1b4764040d3dc5c07&type=text%2Fhtml&schema=anchor\" title=\"Listen and Read\" height=\"102\" width=\"400\"></iframe>\n\nAccording to the [stats](https://data-mining.philippe-fournier-viger.com/too-many-machine-learning-papers/), currently, 33,000 ML Research papers are being published per year. That means, around 90+ papers per day! And almost every single paper introduces something new, without any exception.\n\n\n\nAs an \"AI enthusiast\", I try to get a brief (or a rough idea) of as many papers as possible to keep myself updated in the industry. But to be honest, it feels a bit overwhelming.\n\nTo make things much worse, I recently heard a \"story\" that literally changed my life as an ML/DL developer.\n\n**Warning:**What I\u2019m about to share with you may disturb your career as an ML researcher/developer or make you deeply anxious. So, hear my reasoning until the end.\n\n> You may love it or hate it, but you can\u2019t ignore it\n\nAfter realizing what I mentioned above, I was already feeling like, \"Have I wasted a good amount of my life with ML research? Could I do something more useful with my life?\". And then \u2026\n\n---\n\n## The Story that changed my life\n\nA few months ago, I came across this **true story** of a Harvard professor of political science, Gary King, who started working on the document clustering problem to give a Festschrift (_a collection of writings published in honor of a scholar_) to one of his colleagues, as the retirement gift.\n\nTo do so, he asked his grad students to utilize every clustering algorithm ever invented. For those who know about this, clustering is a very old problem in the field of machine learning and statistics. Hence, there were plenty of methods available to apply in the literature, and they found around 250 algorithms.\n\nTo compare the efficiency of all the algorithms, they coded an R package and what did they found? Was there any absolute \"best\" algorithm?\n\nNope. Obviously not.\n\nAs expected, each method worked differently. They could not decide which algorithm was best, and at last, they let their users pick the results that they themselves found useful.\n\nSo what did I learn?\n\n---\n\n## Listen Carefully\n\nHere, I described the situation using clustering, but the same argument can be given to any problem - may that be reinforcement learning, deep learning, supervised learning, unsupervised learning, or anything else.\n\nRight now, I am pretty sure that there are more than a hundred variants of SGD (Stochastic Gradient Descent) alone, which is an integral part of deep learning.\n\nAnd that is scary to me (even with some experience in this field).\n\nIt made me ask this question: _Should I spend my time inventing the 251st clustering algorithm?_\n\nWe all know that **_glory comes to the trailblazers_**. Every next version of something gets lesser and lesser credit (like a [submodular set function](https://en.wikipedia.org/wiki/Submodular_set_function)); the law of diminishing returns applies.\n\nAfter Ian Goodfellow invented [GANs](https://en.wikipedia.org/wiki/Generative_adversarial_network) (Generative Adversarial Networks), there were more than a hundred types of GAN variants out there. Everyone was attracted to them and contributed, but unfortunately, only a few got some recognition. Ian Goodfellow will always be at the center of the GAN universe.\n\nSo let me ask you this again, _Is it really worth it to invent the 251st clustering algorithm or a 101st SGD variant?_\n\n---\n\n## The ML Tragedy\n\n\n\nI told you, there is no happily ever after.\n\nThere is a set of theorems in search and optimization called, \"[**No Free Lunch Theorems**](https://en.wikipedia.org/wiki/No_free_lunch_in_search_and_optimization)\" (seriously, no kidding) which accurately depicts our situation. Let me quote this from Wikipedia:\n\n> In computational complexity and optimization the **no free lunch theorem** is a result that states that for certain types of mathematical problems, the computational cost of finding a solution, averaged over all problems in the class, is the same for any solution method. **No solution therefore offers a \"short cut\".** This is under the assumption that the search space is a probability density function. It does not apply to the case where the search space has underlying structure that can be exploited more efficiently than random search or even has closed-form solutions that can be determined without search at all. **For such probabilistic assumptions, the outputs of all procedures solving a particular type of problem are statistically identical**. A colourful way of describing such a circumstance, introduced by David Wolpert and William G. Macready in connection with the problems of search and optimization, is to say that **there is no free lunch**. Wolpert had previously derived **no free lunch theorem**s for machine learning (statistical inference). Before Wolpert\u2019s article was published, Cullen Schaffer independently proved a restricted version of one of Wolpert\u2019s theorems and used it to critique the current state of machine learning research on the problem of induction [[1](https://wikimili.com/en/No_free_lunch_in_search_and_optimization)].\n\nIn short, the theorem says, there isn\u2019t gonna be any \"best\" approach (or algorithm) that can fit all problem space.\n\nAfter averaging over a large input distribution, every algorithm performs the same, more or less. Hence, no best clustering algorithm, no best RL (reinforcement learning) method, no best regressor, etc\u2026 It\u2019s all hokum.\n\n---\n\n## What\u2019s Next?\n\nSince now I have put you in my shoes, you must be wondering why you read all this?\n\nBecause there **is**something that you can do! And that is, to **change your approach.**\n\nAs an ML developer, the best advice that I can give to you is: Instead of concentrating on ML algorithms, focus on the problem - **Problem Formulation must be your main priority**.\n\n> Give me six hours to chop down a tree and I will spend the first four sharpening the axe - Abraham Lincoln\n\nDon\u2019t approach the problem from the opposite direction. I learned that the hard way, but once I did, it changed everything.\n\n> [**How I Won a National Level ML Competition with my Unique \"Informal Approach\"**](https://towardsdatascience.com/how-i-won-a-national-level-ml-competition-with-my-unique-informal-approach-e86fd95532fd)\n\nKeep that in mind and I\u2019m sure you\u2019ll **not** get lost (into this algorithm jungle). I hope you\u2019ll spend your time more wisely from this point forward.\n\n---\n\nIf you enjoy reading these stories, then I\u2019m sure you would love to be a [Medium paying member](https://nishu-jain.medium.com/membership). It\u2019s only $5 per month, and you\u2019ll get unlimited access to thousands and thousands of stories and writers. You can support me by [**signing up using this link**](https://nishu-jain.medium.com/membership),_and I\u2019ll earn a small commission that will help me grow and publish more stories like this._\n\n_Thanks for reading and have a nice day!_\n\n---\n\n**Other awesome articles that you might enjoy -**\n\n> [**Machine Learning is Becoming a Joke**](https://medium.com/datadriveninvestor/machine-learning-is-becoming-a-joke-automl-downsides-c7634ce0572c)\n\n> [**10 Game-changing AI Breakthroughs Worth Knowing About**](https://pub.towardsai.net/10-game-changing-ai-breakthroughs-worth-knowing-about-b2076afc4930)\n\n> [**Now AI is Knocking On The Doors of Luxurious Hotels**](https://medium.com/towards-artificial-intelligence/now-ai-is-knocking-on-the-doors-of-luxurious-hotels-2066b1102590)"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"markdown": {"type": "string"}}, "required": ["markdown"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/7a4101f8-7180-4c4c-826c-15fad1c9d997/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User Interests | Returns a list of tags that the given user follows. | 200 | Response | {"tags_followed": ["gadgets", "privacy", "history", "education", "ios-development", "venture-capital", "remote-work", "freelancing", "economy", "language", "media", "books", "productivity", "society", "leadership", "javascript", "self-driving-cars", "software-engineering", "android-development", "marketing", "product-management", "ux", "cybersecurity", "artificial-intelligence", "social-media", "biotech", "neuroscience", "startup", "creativity", "design", "culture", "future", "writing", "machine-learning", "digital-life", "math", "work", "data-science", "blockchain", "space", "business", "basic-income", "psychology", "mindfulness", "philosophy", "travel", "money", "technology", "programming", "science"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"tags_followed": {"type": "array", "items": {"type": "string"}}}, "required": ["tags_followed"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/bd81acec-4387-4584-b113-360149a8446b/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Top Articles By User | Returns a list article_ids of the top 10 articles on the user's profile, for a given user_id | 200 | Response | {"top_articles": ["562c5821b5f0", "4bb5cd293022", "b2076afc4930", "e86fd95532fd", "5862946047c0", "90a01549d8db", "d6fbc4106675", "cd1850bccd9d", "644857abeefc", "3ce40a280f72"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"top_articles": {"type": "array", "items": {"type": "string"}}}, "required": ["top_articles"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/f6c737fe-7b4e-4b5d-87af-4718c5a30928/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User Info | Returns user/author related information like Full name, Bio, Followers count, Following count, Twitter username, Profile-image URL, User ID, etc ... It takes "user_id" (String) as the path parameter.
If you don't know the "user_id", then you can get it from the endpoint '/user/id_for/{username}'. | 200 | Response | {"twitter_username": "one_anachronism", "bio": "Obsessed with Tech, Biz, Arts & Words; Does NOT dumb down the writing; Skilled Wordsmith; Delivers the best", "top_writer_in": ["artificial-intelligence", "machine-learning", "data-science"], "is_suspended": false, "username": "nishu-jain", "medium_member_at": "2020-06-24 16:05:46", "following_count": 1, "followers_count": 385, "is_writer_program_enrolled": true, "allow_notes": true, "fullname": "Nishu Jain", "id": "1985b61817c3", "image_url": "https://miro.medium.com/1*C92Hx7k9nRM7TPlrmhgW9w.jpeg"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"twitter_username": {"type": "string"}, "bio": {"type": "string"}, "top_writer_in": {"type": "array", "items": {"type": "string"}}, "is_suspended": {"type": "boolean"}, "username": {"type": "string"}, "medium_member_at": {"type": "string"}, "following_count": {"type": "integer"}, "followers_count": {"type": "integer"}, "is_writer_program_enrolled": {"type": "boolean"}, "allow_notes": {"type": "boolean"}, "fullname": {"type": "string"}, "id": {"type": "string"}, "image_url": {"type": "string"}}, "required": ["allow_notes", "bio", "followers_count", "following_count", "fullname", "id", "image_url", "is_suspended", "is_writer_program_enrolled", "medium_member_at", "top_writer_in", "twitter_username", "username"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/a0d893c5-9844-415e-a75c-490cb1419ac2/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User Following | Returns the list of user_ids of the author's/user's followings.
Use count query parameter (optional) to limit the number of results. (count <= 1500)
Note: Currently, this list does not contain the publication_ids of the publications that the user/author is following. | 200 | Response | {"following": ["b41e39525113", "3396d54427de", "cb95a7d0729d", "f3fc1c6092ed", "e4d971c7eba7", "dbbe564ee8e6", "799bdc99a0fd", "2c64bdb18573", "f267bc3574e4", "95a57fdeadb6", "b6da3e8d166d", "ea774e193cb2", "40946094bebb", "b351e3a0d159", "1863f57ad829", "a0bd266a6961", "7adc8321ce7c", "14a74ae9085d", "682907979e3", "8b6384114364", "d1752ac89d7d", "de3286f8ef58", "d30498f21a97", "e9196e56b5b3", "7e75dcc46b24", "c61f93eeb8a5", "6da7af3de097", "51e7eb466f57", "58c587b768b6", "bb18b13c5ef4", "ff086d17b40f", "49f48b36cb76", "a7b81ad5e393"], "id": "14d5c41e0264"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"following": {"type": "array", "items": {"type": "string"}}, "id": {"type": "string"}}, "required": ["following", "id"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/909e4c38-c3df-4889-b8eb-0cd969258cb5/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Articles by User | Returns the list of articles_ids written by the author/user. | 200 | Response | {"associated_articles": ["562c5821b5f0", "4bb5cd293022", "b2076afc4930", "e86fd95532fd", "5862946047c0", "90a01549d8db", "d6fbc4106675", "cd1850bccd9d", "644857abeefc", "3ce40a280f72", "faf7bb349a49", "3134743262d9", "799b2aa6ada3", "66ac9f783c8b", "8532830dc8a8", "3e43c4c0839d", "2e8ee99179fb", "deedea890da1", "75a1ef859a28", "d98fc7e045e8", "deac7b1d9fd6", "12ff954e1110", "f835adff2946", "d90851aecb11", "2ee636aa991e", "a43894efaeab", "8d08eca9e4f2", "cac577609bd4", "e8ca4331845e", "fcdb1576558a", "3384e2d08667", "4e87088c9a9a", "5cef01f9b05", "20abb01e5c85", "7c3fb7b63df6", "80d29a2625c", "61ef36b6706f", "ba8fe12a52a3", "51aa56d48f11", "da523397e7f1", "dc7bd7c1b2e", "f6e3f87e9476", "587b9c065959", "6421271c8667", "464fa143999b", "f891c923fae7", "df7d8c299dd0", "3303f11b1a7c", "57dc4226f7f3", "615f67fc01eb", "88fa8e96cb01", "f20d27cacd62", "fe17b50a9eed", "a24f55c347a7", "33684844aaa1", "a626fe93761", "dc966cfe23b8", "229e59052162", "2066b1102590", "6ded18478789", "effafbd71a1d", "ccc1199645c7", "ffd13c7129e5", "c3a0029c9dad", "675073576b39", "c7634ce0572c", "6556feb21311", "e387190d0323", "146918397a1c", "853ff0127e0b", "a1cdc1450e24", "67fa62fc1971", "a09420fef1ba", "f51f375a253", "b7d838c84f72", "9fb9aafdd9e6", "e28a2af28349", "7fd99bc9c21f", "4d2e5e3a622a", "6a19558e78bb", "a40775a76a12", "b927860f35fb", "96efab527f21", "f06086080568", "9e469c80585c", "416194c7988a"]} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"associated_articles": {"type": "array", "items": {"type": "string"}}}, "required": ["associated_articles"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/ccf52aa7-9bc2-4c68-9cdd-adab6607cf1e/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User ID | Returns a unique ID (user_id: String) associated with the user/author's unique username. | 200 | Response | {"id": "1985b61817c3"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "string"}}, "required": ["id"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/d81f4a26-a541-4ab1-8f02-52e80bccfaf8/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get User Publications | Returns a list of publication_ids where the user is the editor and/or creator. | 200 | Response | {"user_id": "14d5c41e0264", "publications": ["bff2346ccdf1", "df81adaf6236", "ec8fa14d2dec", "9830e436a84", "58a7286815a2", "aec755e28853", "a7d8d7c02da", "ab314b84960a"]} | {"type": "object", "properties": {"user_id": {"type": "string"}, "publications": {"type": "array", "items": {"type": "string"}}}} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/00538c54-a411-4ee0-bdb1-a0b50c35206b/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Publication Articles | Returns the list of articles_ids, of the latest 25 articles, posted in that publication.
Use the from query parameter to get the articles before that date and time. | 200 | Response | {"publication_articles": ["f853beb264f6", "e4ccce6ab64b", "78d8ecab19c4", "d23a4c3ec0cd", "581d31dd625f", "dafe61eabe34", "73b72c3b977a", "5c2e28922659", "8100fa230c7d", "2c7327bf1928", "b830a1f9c9d5", "50b605599b1b", "8c58a7c93ca", "8009cad3c111", "9bed21ed3432", "993a4acf3d97", "52f352912025", "638fb16c5092", "c3fabbd0e00b", "bc63d4ada624", "b22a38900f39", "b13dd00dc212", "cfbff2388d04", "af749790e33b", "763c88143560"], "to": "2022-08-05 12:02:25", "from": "2022-08-13 03:08:16", "publication_id": "98111c9905da"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"publication_articles": {"type": "array", "items": {"type": "string"}}, "to": {"type": "string"}, "from": {"type": "string"}, "publication_id": {"type": "string"}}, "required": ["from", "publication_articles", "publication_id", "to"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/835b91d6-02a8-4eb4-845f-fdf17b97e6d5/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Publication Newsletter | Returns information related to the associated newsletter for the given publication. This includes their subscriber's count, name, description, unique id, etc... | 200 | Response | {"subscribers": 6683, "image": "https://miro.medium.com/1*j2OVd7j2o2FHeE7T8TzpXw.png", "description": "We have moved our newsletter. Subscribe \u2192 https://ws.towardsai.net/subscribe", "name": "This AI newsletter is all you need", "slug": "this-ai-newsletter-is-all-you-need", "id": "d710a73cd042", "creator_id": "aea8a19ea239"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"subscribers": {"type": "integer"}, "image": {"type": "string"}, "description": {"type": "string"}, "name": {"type": "string"}, "slug": {"type": "string"}, "id": {"type": "string"}, "creator_id": {"type": "string"}}, "required": ["creator_id", "description", "id", "image", "name", "slug", "subscribers"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/18423d42-c22b-476b-89fd-52f05cc78167/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Publication Info | Returns the publication related information such as Publication name, Tagline, Description, Tags, Followers Count, Twitter username, Instagram username, Facebook Page name, etc ...
Note: If you don't know the publication_id, you can get it from any article published by it. Use endpoint "/article/{article_id}" to retrieve the publication_id. | 200 | Response | {"logo": "https://miro.medium.com/1*NIT82G_xlaooOWm_pTtb1A.png", "instagram_username": "towards_ai", "tagline": "The leading AI community and content platform focused on making AI accessible to all", "id": "98111c9905da", "tags": ["ARTIFICIAL INTELLIGENCE", "MACHINE LEARNING", "DATA SCIENCE", "PROGRAMMING", "DEEP LEARNING"], "name": "Towards AI", "domain": "pub.towardsai.net", "editors": ["8a819983d566", "aea8a19ea239", "cfd55a204329", "dbf92a012bd3", "92b9872c24de", "f34bfe2bbaec", "fb93f4aae2b0", "d2b799b51ffa", "6b81527bfd6b"], "creator": "8a819983d566", "facebook_pagename": "towardsAl", "description": "The leading AI community and content platform focused on making AI accessible to all", "url": "pub.towardsai.net", "slug": "towards-artificial-intelligence", "followers": 28320, "twitter_username": "towards_AI"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"logo": {"type": "string"}, "instagram_username": {"type": "string"}, "tagline": {"type": "string"}, "id": {"type": "string"}, "tags": {"type": "array", "items": {"type": "string"}}, "name": {"type": "string"}, "domain": {"type": "string"}, "editors": {"type": "array", "items": {"type": "string"}}, "creator": {"type": "string"}, "facebook_pagename": {"type": "string"}, "description": {"type": "string"}, "url": {"type": "string"}, "slug": {"type": "string"}, "followers": {"type": "integer"}, "twitter_username": {"type": "string"}}, "required": ["creator", "description", "domain", "editors", "facebook_pagename", "followers", "id", "instagram_username", "logo", "name", "slug", "tagline", "tags", "twitter_username", "url"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/f9472df5-3bae-4895-af9d-0b2254b3a254/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Publication ID | Return the publication_id for the given publication_slug. | 200 | Response | {"publication_id": "7f60cf5620c9", "publication_slug": "towards-data-science"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"publication_id": {"type": "string"}, "publication_slug": {"type": "string"}}, "required": ["publication_id", "publication_slug"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/485b27b0-80fc-4c5d-a6a3-eabcdc7fc3aa/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Welcome | Test Endpoint
Returns the information about the Medium API | 200 | Response | {"website": "https://mediumapi.com", "developer": "Nishu Jain", "documentation": "https://docs.mediumapi.com", "name": "Medium API", "email": "[email protected]"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"website": {"type": "string"}, "developer": {"type": "string"}, "documentation": {"type": "string"}, "name": {"type": "string"}, "email": {"type": "string"}}, "required": ["developer", "documentation", "email", "name", "website"]} |
ccda8387-6c0d-4f8b-9bfd-4c73e21ad780/bd50fdd8-710e-4494-8e20-33cc9cbaf0c9/0/0 | Medium | This Unofficial Medium API helps you get data from Medium (medium.com), quickly and reliably. You can gather data related to users, publications, articles, latestposts, top writers, etc... Try our endpoints below! Visit our website, mediumapi.com, and feel free to email us at [email protected] for any query. | 9.8 | Get Article Info | This endpoint returns the article related information such as Title, Subtitle, Tags, Topics (assigned by Medium), Publication, Published date and time, Clap Count, Voter Count, Word Count, Reading Time, etc... | 200 | Response | {"id": "562c5821b5f0", "tags": ["about-me", "nishu-jain", "bio", "software-engineer", "introduction"], "claps": 117, "last_modified_at": "2022-02-15 06:27:57", "published_at": "2021-04-17 17:42:10", "url": "https://nishu-jain.medium.com/about-me-nishu-jain-562c5821b5f0", "image_url": "https://miro.medium.com/1*4cUFmh4kDyGvf4y-73tBaA.png", "lang": "en", "publication_id": "*Self-Published*", "word_count": 527, "title": "About Me\u00a0:)\u200a\u2014\u200aNishu Jain", "reading_time": 2.3720125786164, "responses_count": 0, "voters": 5, "topics": ["self"], "author": "1985b61817c3", "subtitle": "Who am I and what do I do\u00a0\u2026"} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"id": {"type": "string"}, "tags": {"type": "array", "items": {"type": "string"}}, "claps": {"type": "integer"}, "last_modified_at": {"type": "string"}, "published_at": {"type": "string"}, "url": {"type": "string"}, "image_url": {"type": "string"}, "lang": {"type": "string"}, "publication_id": {"type": "string"}, "word_count": {"type": "integer"}, "title": {"type": "string"}, "reading_time": {"type": "number"}, "responses_count": {"type": "integer"}, "voters": {"type": "integer"}, "topics": {"type": "array", "items": {"type": "string"}}, "author": {"type": "string"}, "subtitle": {"type": "string"}}, "required": ["author", "claps", "id", "image_url", "lang", "last_modified_at", "publication_id", "published_at", "reading_time", "responses_count", "subtitle", "tags", "title", "topics", "url", "voters", "word_count"]} |
a2ac6779-9b81-4d72-b92e-5c09832eb238/7ea911bf-3770-49f5-86d3-41496ca87051/0/0 | pluses-and-minuses-of-the-car | The Car Pluses and Minuses API is a comprehensive endpoint designed to provide detailed insights into the pros and cons of various car makes, models, and years. It offers potential buyers, car enthusiasts, and businesses a valuable tool to evaluate vehicles more effectively.
By using this API, you can access a wealth of information related to the car's performance, reliability, safety, comfort, and overall satisfaction. The data is sourced from real-world user experiences, expert reviews, an... | 6.5 | Pluses and minuses of the car | Pluses and minuses of the car | 200 | Response | {"pros": ["Strong and relatively fuel-efficient turbocharged engines", "Capable handling", "Clean interior design with high-quality materials", "Top safety scores", "Excellent seats", "Plenty of high-tech features."], "cons": ["Feels bulkier and less sporty than past 5 Series", "Smaller trunk than rivals."], "totalRating": "4.4", "fiveStars": "69%", "fourStars": "14%", "threeStarts": "5%", "twoStars": "10%", "oneStar": "2%", "individualRatings": {"comfort": "4.6", "performance": "4.5", "quality": "4.5", "reliability": "4.4", "styling": "4.6", "value": "4.2"}} | {"type": "object", "properties": {"pros": {"type": "array", "items": {"type": "string"}}, "cons": {"type": "array", "items": {"type": "string"}}, "totalRating": {"type": "string"}, "fiveStars": {"type": "string"}, "fourStars": {"type": "string"}, "threeStarts": {"type": "string"}, "twoStars": {"type": "string"}, "oneStar": {"type": "string"}, "individualRatings": {"type": "object", "properties": {"comfort": {"type": "string"}, "driving": {"type": "string"}, "overall": {"type": "string"}, "utility": {"type": "string"}, "interior": {"type": "string"}, "technology": {"type": "string"}, "performance": {"type": "string"}, "quality": {"type": "string"}, "reliability": {"type": "string"}, "styling": {"type": "string"}, "value": {"type": "string"}}}}} |
c8bffc07-34d2-44e8-bbb9-a5a82ac9c7cf/84be9c7a-6055-4b0b-b689-f9e63d2a657d/0/0 | Allegro | Allegro Scraper allows you to scrape data from allegro.pl | 6.7 | Search | Search for products | 200 | New Example | [{"id": "07cddd1b-1c58-4319-b73f-be4b4ebb1168", "url": "https://allegro.pl/produkt/karty-pokemon-360-kart-mega-box-w-tym-specjalne-07cddd1b-1c58-4319-b73f-be4b4ebb1168", "name": "KARTY POKEMON 360 KART MEGA BOX W TYM SPECJALNE", "slug": "/karty-pokemon-360-kart-mega-box-w-tym-specjalne-07cddd1b-1c58-4319-b73f-be4b4ebb1168", "image": "https://a.allegroimg.com/s48b/11c040/4cef7dc545169cf7a62d25709656"}, {"id": "c9361e92-91f2-4fb5-973e-0e22ff492f6c", "url": "https://allegro.pl/produkt/karty-kolekcjonerskie-pokemon-teczowe-rainbow-55-c9361e92-91f2-4fb5-973e-0e22ff492f6c", "name": "KARTY KOLEKCJONERSKIE POKEMON T\u0118CZOWE RAINBOW 55", "slug": "/karty-kolekcjonerskie-pokemon-teczowe-rainbow-55-c9361e92-91f2-4fb5-973e-0e22ff492f6c", "image": "https://a.allegroimg.com/s48b/11d4ce/ea27e19a4616a7e4d858b9147db5"}, {"id": "d8205ff5-0c3e-41ce-bef8-97bc1966e780", "url": "https://allegro.pl/produkt/zestaw-pokemon-album-na-240-kart-100-kart-gratis-1-d8205ff5-0c3e-41ce-bef8-97bc1966e780", "name": "ZESTAW POKEMON ALBUM NA 240 KART+100 KART gratis+1", "slug": "/zestaw-pokemon-album-na-240-kart-100-kart-gratis-1-d8205ff5-0c3e-41ce-bef8-97bc1966e780", "image": "https://a.allegroimg.com/s48b/117abe/7fb4dff54a18a8ec6fcfeb28ef4c"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "string"}, "url": {"type": "string"}, "name": {"type": "string"}, "slug": {"type": "string"}, "image": {"type": "string"}}, "required": ["id", "image", "name", "slug", "url"]}} |
e7be14db-4dcc-4aea-9a40-6b2045ac433a/d9b927ad-c847-49b6-9e5b-170fd06c8217/0/0 | Trulia | Welcome to a world of endless possibilities in the real estate market. The Trulia API empowers you to access a treasure trove of property data, from listings and market trends to neighborhood insights. Seamlessly integrate this robust tool into your application, website, or platform to provide your users with up-to-date, comprehensive real estate information. Elevate your real estate game and drive sales with the Trulia API – the key to success in today's dynamic property market. | 6.1 | Keywords | Get Keywords | 200 | New Example | {"success": true, "message": "success", "results": {"data": {"getKeywordsByQuery": ["Pool", "Pool Area", "Pool Home", "Pool Table", "Pooch"]}}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "message": {"type": "string"}, "results": {"type": "object", "properties": {"data": {"type": "object", "properties": {"getKeywordsByQuery": {"type": "array", "items": {"type": "string"}}}, "required": ["getKeywordsByQuery"]}}, "required": ["data"]}}, "required": ["message", "results", "success"]} |
e7be14db-4dcc-4aea-9a40-6b2045ac433a/297523c5-2478-4fc1-b053-2af26c63f23f/0/0 | Trulia | Welcome to a world of endless possibilities in the real estate market. The Trulia API empowers you to access a treasure trove of property data, from listings and market trends to neighborhood insights. Seamlessly integrate this robust tool into your application, website, or platform to provide your users with up-to-date, comprehensive real estate information. Elevate your real estate game and drive sales with the Trulia API – the key to success in today's dynamic property market. | 6.1 | Autocomplete | Autocomplete | 200 | New Example | {"success": true, "message": "success", "results": {"data": {"searchLocationSuggestionByQuery": {"__typename": "SEARCHAUTOCOMPLETE_Results", "places": [{"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami, FL", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pLCBGTCIsImNpdHkiOiJNaWFtaSIsInN0YXRlIjoiRkwiLCJsYXQiOjI1LjY5ODQ1MzE0MDYxMjU2OCwibG9uIjotODAuMzMxOTY1MDIxNjk1MzEsInJlZ2lvbklkIjoiMTI3MDAiLCJsb2NhdGlvbklkIjoiMjQ2MDYifQ=="}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami Beach, FL", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pIEJlYWNoLCBGTCIsImNpdHkiOiJNaWFtaSBCZWFjaCIsInN0YXRlIjoiRkwiLCJsYXQiOjI1LjgxNTM0ODEyMTQ0Njc1NywibG9uIjotODAuMTM2NjY5NzQzODQ1NTYsInJlZ2lvbklkIjoiNTkyNCIsImxvY2F0aW9uSWQiOiIyNDYxMyJ9"}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami Gardens, FL", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pIEdhcmRlbnMsIEZMIiwiY2l0eSI6Ik1pYW1pIEdhcmRlbnMiLCJzdGF0ZSI6IkZMIiwibGF0IjoyNS45NDMyNzkzMzI2MTY3MTUsImxvbiI6LTgwLjI0MjUwMTkyODc5MDQ3LCJyZWdpb25JZCI6IjM5NzY3IiwibG9jYXRpb25JZCI6IjI0NjE0In0="}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami Lakes, FL", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pIExha2VzLCBGTCIsImNpdHkiOiJNaWFtaSBMYWtlcyIsInN0YXRlIjoiRkwiLCJsYXQiOjI1LjkxMjQ3NDQyMjAyNzQ3MiwibG9uIjotODAuMzIxOTI5MDg3NTQyMTcsInJlZ2lvbklkIjoiNTkyNiIsImxvY2F0aW9uSWQiOiIyNDYxNSJ9"}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miamisburg, OH", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pc2J1cmcsIE9IIiwiY2l0eSI6Ik1pYW1pc2J1cmciLCJzdGF0ZSI6Ik9IIiwibGF0IjozOS42MjQ4NzM5NDk5MzMzLCJsb24iOi04NC4yNzMyNDkwODQwMzMxNCwicmVnaW9uSWQiOiIzOTc2OSIsImxvY2F0aW9uSWQiOiIzOTI2OTEifQ=="}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami Shores, FL", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pIFNob3JlcywgRkwiLCJjaXR5IjoiTWlhbWkgU2hvcmVzIiwic3RhdGUiOiJGTCIsImxhdCI6MjUuODY2OTEzOTEwODk3ODY0LCJsb24iOi04MC4xODEwNjg1MTAyNDIzOCwicmVnaW9uSWQiOiIzMjgzNSIsImxvY2F0aW9uSWQiOiIzNjMzMTcifQ=="}, {"__typename": "SEARCHAUTOCOMPLETE_Region", "title": "Miami, OK", "details": "City", "searchEncodedHash": "eyJ0eXBlIjoiYWRkcmVzcyIsInN1YnR5cGUiOiJjaXR5IiwibmFtZSI6Ik1pYW1pLCBPSyIsImNpdHkiOiJNaWFtaSIsInN0YXRlIjoiT0siLCJsYXQiOjM2Ljg4NzA0ODUxMjE1MjM3LCJsb24iOi05NC44ODg1MDA3NDkxNjk2MSwicmVnaW9uSWQiOiI1OTIzIiwibG9jYXRpb25JZCI6IjI4MTAxOCJ9"}], "schools": [{"__typename": "SEARCHAUTOCOMPLETE_School", "title": "Miami-Dade, FL", "subtitle": "FL", "details": "District", "searchEncodedHash": "eyJuYW1lIjoiTWlhbWktRGFkZSwgRkwiLCJuY2VzSWQiOiIxMjAwMzkwIiwibGF0IjoyNS43ODg5LCJsb24iOi04MC4xOTA2OTcsInN0YXRlIjoiRkwiLCJ0eXBlIjoic2Nob29sIiwic3VidHlwZSI6InNjaG9vbF9kaXN0cmljdCJ9"}, {"__typename": "SEARCHAUTOCOMPLETE_School", "title": "Miami Palmetto Senior High School", "subtitle": "Miami, FL", "details": "School", "searchEncodedHash": "eyJuYW1lIjoiTWlhbWkgUGFsbWV0dG8gU2VuaW9yIEhpZ2ggU2Nob29sIiwidHJ1bGlhU2Nob29sSWQiOiIxODc0MzgiLCJsYXQiOjI1LjY2MDQ2MywibG9uIjotODAuMzE1OTEsImNpdHkiOiJNaWFtaSIsInN0YXRlIjoiRkwiLCJ0eXBlIjoic2Nob29sIiwic3VidHlwZSI6InNjaG9vbCJ9"}, {"__typename": "SEARCHAUTOCOMPLETE_School", "title": "Miami Beach Senior High School", "subtitle": "Miami Beach, FL", "details": "School", "searchEncodedHash": "eyJuYW1lIjoiTWlhbWkgQmVhY2ggU2VuaW9yIEhpZ2ggU2Nob29sIiwidHJ1bGlhU2Nob29sSWQiOiIxODUyOTYiLCJsYXQiOjI1Ljc5OTAwMiwibG9uIjotODAuMTMzLCJjaXR5IjoiTWlhbWkgQmVhY2giLCJzdGF0ZSI6IkZMIiwidHlwZSI6InNjaG9vbCIsInN1YnR5cGUiOiJzY2hvb2wifQ=="}]}}}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"success": {"type": "boolean"}, "message": {"type": "string"}, "results": {"type": "object", "properties": {"data": {"type": "object", "properties": {"searchLocationSuggestionByQuery": {"type": "object", "properties": {"__typename": {"type": "string"}, "places": {"type": "array", "items": {"type": "object", "properties": {"__typename": {"type": "string"}, "title": {"type": "string"}, "details": {"type": "string"}, "searchEncodedHash": {"type": "string"}}, "required": ["__typename", "details", "searchEncodedHash", "title"]}}, "schools": {"type": "array", "items": {"type": "object", "properties": {"__typename": {"type": "string"}, "title": {"type": "string"}, "subtitle": {"type": "string"}, "details": {"type": "string"}, "searchEncodedHash": {"type": "string"}}, "required": ["__typename", "details", "searchEncodedHash", "subtitle", "title"]}}}, "required": ["__typename", "places", "schools"]}}, "required": ["searchLocationSuggestionByQuery"]}}, "required": ["data"]}}, "required": ["message", "results", "success"]} |
462b4791-134b-4bec-89fd-a7f172542cd2/d44b842c-337a-45b4-adc5-96b4a4bc5ba2/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Full address | Full address data | 200 | Response | [{"id": 3259610818, "write": "FET\u0130H Mah. D\u00dcZG\u00dcN SOKAGI NO :1 /1_T D\u0130NER RESTORANT / 1 ATA\u015eEH\u0130R / \u0130STANBUL", "city": 34, "neighborhood": 40795, "village": 37751, "district": 2049, "street": 443117, "building": 19953537}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "write": {"type": "string"}, "city": {"type": "integer"}, "neighborhood": {"type": "integer"}, "village": {"type": "integer"}, "district": {"type": "integer"}, "street": {"type": "integer"}, "building": {"type": "integer"}}, "required": ["building", "city", "district", "id", "neighborhood", "street", "village", "write"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/33d3c490-1d49-4ac5-bfe1-e1acd14d8895/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Door | Door Number | 200 | Response | [{"id": 3259610818, "name": "1"}, {"id": 3259910804, "name": "2"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}, "required": ["id", "name"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/2f73f6cf-fc82-4b21-af9b-ae50fcd2b1f6/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Streets | streets list | 200 | Response | [{"id": 223703, "name": "ACARLAR SOKAGI", "type": null}, {"id": 946212, "name": "ADNAN MENDERES CADDESI", "type": null}, {"id": 358707, "name": "AKTEPE SOKAGI", "type": null}, {"id": 217836, "name": "BA\u011eIMSIZLIK BULVARI", "type": null}, {"id": 947314, "name": "CEMALPA\u015eA CADDESI", "type": null}, {"id": 358706, "name": "CO\u015eKUNLAR SOKAGI", "type": null}, {"id": 223690, "name": "DEM\u0130RAY SOKAGI", "type": null}, {"id": 443117, "name": "D\u00dcZG\u00dcN SOKAGI", "type": null}, {"id": 223693, "name": "EL\u00c7\u0130LER SOKAGI", "type": null}, {"id": 358711, "name": "ESK\u0130 \u00c7\u0130FTL\u0130K YOLU CADDESI", "type": null}, {"id": 358708, "name": "FUNDA SOKAGI", "type": null}, {"id": 358766, "name": "G\u00d6KY\u00dcZ\u00dc SOKAGI", "type": null}, {"id": 1311567, "name": "G\u00d6RKEM SOKAGI", "type": null}, {"id": 947880, "name": "HANCI SOKAGI", "type": null}, {"id": 358739, "name": "HEDEF SOKAGI", "type": null}, {"id": 848719, "name": "H\u0130CAZKAR SOKAGI", "type": null}, {"id": 946210, "name": "KAFKAS SOKAGI", "type": null}, {"id": 358735, "name": "KARADEN\u0130Z \u00c7AR\u015eI SOKAGI", "type": null}, {"id": 223763, "name": "KARS SOKAGI", "type": null}, {"id": 223717, "name": "KAYISI SOKAGI", "type": null}, {"id": 358709, "name": "KEMAL\u0130YE SOKAGI", "type": null}, {"id": 223783, "name": "K\u00d6SEBEY SOKAGI", "type": null}, {"id": 848721, "name": "L\u0130BAD\u0130YE CADDESI", "type": null}, {"id": 358736, "name": "\u00d6Z SOKAGI", "type": null}, {"id": 223796, "name": "\u00d6ZEN\u0130R SOKAGI", "type": null}, {"id": 217841, "name": "PEHL\u0130VAN SOKAGI", "type": null}, {"id": 358710, "name": "SANCAK SOKAGI", "type": null}, {"id": 223694, "name": "SARIKAMI\u015e SOKAGI", "type": null}, {"id": 812354, "name": "SIRASELV\u0130 SOKAGI", "type": null}, {"id": 848724, "name": "SOMUNCUBABA SOKAGI", "type": null}, {"id": 358737, "name": "S\u00d6\u011e\u00dcTL\u00dc SOKAGI", "type": null}, {"id": 358738, "name": "SU\u015eEHR\u0130 SOKAGI", "type": null}, {"id": 434286, "name": "TAHRALI SOKAGI", "type": null}, {"id": 223698, "name": "TUNCA SOKAGI", "type": null}, {"id": 223699, "name": "\u00dcNAYDIN SOKAGI", "type": null}, {"id": 358767, "name": "VEZ\u0130RO\u011eLU SOKAGI", "type": null}, {"id": 946218, "name": "YA\u011eMUR SOKAGI", "type": null}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}, "type": {"type": "null"}}, "required": ["id", "name", "type"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/ebdac767-ae1c-4e39-b130-0ce416a1c4b5/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Neighborhoods | neighborhoods list | 200 | Response | [{"id": 98687, "name": "A\u015eIKVEYSEL"}, {"id": 99749, "name": "ATAT\u00dcRK"}, {"id": 40527, "name": "BARBAROS"}, {"id": 40793, "name": "ESATPA\u015eA"}, {"id": 40577, "name": "FERHATPA\u015eA"}, {"id": 40795, "name": "FET\u0130H"}, {"id": 40530, "name": "\u0130\u00c7ERENK\u00d6Y"}, {"id": 40534, "name": "\u0130N\u00d6N\u00dc"}, {"id": 40533, "name": "KAYI\u015eDA\u011eI"}, {"id": 40531, "name": "K\u00dc\u00c7\u00dcKBAKKALK\u00d6Y"}, {"id": 99516, "name": "MEVLANA"}, {"id": 99519, "name": "M\u0130MAR S\u0130NAN"}, {"id": 40740, "name": "MUSTAFA KEMAL"}, {"id": 40816, "name": "\u00d6RNEK"}, {"id": 40746, "name": "YEN\u0130 \u00c7AMLICA"}, {"id": 40526, "name": "YEN\u0130SAHRA"}, {"id": 99517, "name": "YEN\u0130\u015eEH\u0130R"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}, "required": ["id", "name"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/5215dfff-edfa-44fa-8d65-d57afc2a43cd/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Buildings | buildings list | 200 | Response | [{"id": 19953537, "name": null, "code": null, "site_name": null, "number": "NO :1 /1_T D\u0130NER RESTORANT"}, {"id": 34428456, "name": null, "code": null, "site_name": null, "number": "NO :1 /1A_T D\u0130NER RESTORANT"}, {"id": 27721884, "name": null, "code": null, "site_name": null, "number": "NO :1 /2_"}, {"id": 27721904, "name": null, "code": null, "site_name": null, "number": "NO :1 /3_"}, {"id": 19953538, "name": null, "code": null, "site_name": null, "number": "NO :1_T D\u0130NER RESTORANT"}, {"id": 27722030, "name": null, "code": null, "site_name": null, "number": "NO :2 /1_"}, {"id": 19953533, "name": null, "code": null, "site_name": null, "number": "NO :2 A_B BLOK"}, {"id": 19953534, "name": null, "code": null, "site_name": null, "number": "NO :2 B_B BLOK"}, {"id": 27721918, "name": null, "code": null, "site_name": null, "number": "NO :3_G\u00dcNYEL\u0130 APARTMAN"}, {"id": 19953531, "name": null, "code": null, "site_name": null, "number": "NO :4 A_ALIZYE"}, {"id": 19953532, "name": null, "code": null, "site_name": null, "number": "NO :4 B_ALIZYE"}, {"id": 19953529, "name": null, "code": null, "site_name": null, "number": "NO :6 A_SEHERYEL\u0130"}, {"id": 19953530, "name": null, "code": null, "site_name": null, "number": "NO :6 B_SEHERYEL\u0130"}, {"id": 27722266, "name": null, "code": null, "site_name": null, "number": "NO :6 C_SEHERYEL\u0130"}, {"id": 27722222, "name": null, "code": null, "site_name": null, "number": "NO :6_"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "null"}, "code": {"type": "null"}, "site_name": {"type": "null"}, "number": {"type": "string"}}, "required": ["code", "id", "name", "number", "site_name"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/00863362-872c-44d7-8ad5-547353d5b405/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Villages | villages list | 200 | Response | [{"id": 37751, "name": "MERKEZ"}] | {"$schema": "http://json-schema.org/schema#", "type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}, "required": ["id", "name"]}} |
462b4791-134b-4bec-89fd-a7f172542cd2/7d77e4ef-c49e-4e98-b763-4d895483dcce/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | Countries | countries list | 200 | Response | [{"id": 1103, "name": "ADALAR"}, {"id": 2048, "name": "ARNAVUTK\u00d6Y"}, {"id": 2049, "name": "ATA\u015eEH\u0130R"}, {"id": 2003, "name": "AVCILAR"}, {"id": 2004, "name": "BA\u011eCILAR"}, {"id": 2005, "name": "BAH\u00c7EL\u0130EVLER"}, {"id": 1166, "name": "BAKIRK\u00d6Y"}, {"id": 2050, "name": "BA\u015eAK\u015eEH\u0130R"}, {"id": 1886, "name": "BAYRAMPA\u015eA"}, {"id": 1183, "name": "BE\u015e\u0130KTA\u015e"}, {"id": 1185, "name": "BEYKOZ"}, {"id": 2051, "name": "BEYL\u0130KD\u00dcZ\u00dc"}, {"id": 1186, "name": "BEYO\u011eLU"}, {"id": 1782, "name": "B\u00dcY\u00dcK\u00c7EKMECE"}, {"id": 1237, "name": "\u00c7ATALCA"}, {"id": 2052, "name": "\u00c7EKMEK\u00d6Y"}, {"id": 2016, "name": "ESENLER"}, {"id": 2053, "name": "ESENYURT"}, {"id": 1325, "name": "EY\u00dcPSULTAN"}, {"id": 1327, "name": "FAT\u0130H"}, {"id": 1336, "name": "GAZ\u0130OSMANPA\u015eA"}, {"id": 2010, "name": "G\u00dcNG\u00d6REN"}, {"id": 1421, "name": "KADIK\u00d6Y"}, {"id": 1810, "name": "KA\u011eITHANE"}, {"id": 1449, "name": "KARTAL"}, {"id": 1823, "name": "K\u00dc\u00c7\u00dcK\u00c7EKMECE"}, {"id": 2012, "name": "MALTEPE"}, {"id": 1835, "name": "PEND\u0130K"}, {"id": 2054, "name": "SANCAKTEPE"}, {"id": 1604, "name": "SARIYER"}, {"id": 1622, "name": "S\u0130L\u0130VR\u0130"}, {"id": 2014, "name": "SULTANBEYL\u0130"}, {"id": 2055, "name": "SULTANGAZ\u0130"}, {"id": 1659, "name": "\u015e\u0130LE"}, {"id": 1663, "name": "\u015e\u0130\u015eL\u0130"}, {"id": 2015, "name": "TUZLA"}, {"id": 1852, "name": "\u00dcMRAN\u0130YE"}, {"id": 1708, "name": "\u00dcSK\u00dcDAR"}, {"id": 1739, "name": "ZEYT\u0130NBURNU"}] | {"type": "array", "items": {"type": "object", "properties": {"id": {"type": "integer"}, "remote_id": {"type": "integer"}, "parent": {"type": "integer"}, "name": {"type": "string"}, "created_at": {"type": "string"}, "updated_at": {"type": "string"}}}} |
462b4791-134b-4bec-89fd-a7f172542cd2/8983d028-cb50-45f1-8c71-d2377220b3a6/0/0 | turkish address | all address in turkey, Türkiye adres sorgulama | 5.8 | States | states list | 200 | Response | [{"id": 1, "name": "ADANA"}, {"id": 2, "name": "ADIYAMAN"}, {"id": 3, "name": "AFYONKARAH\u0130SAR"}, {"id": 4, "name": "A\u011eRI"}, {"id": 68, "name": "AKSARAY"}, {"id": 5, "name": "AMASYA"}, {"id": 6, "name": "ANKARA"}, {"id": 7, "name": "ANTALYA"}, {"id": 75, "name": "ARDAHAN"}, {"id": 8, "name": "ARTV\u0130N"}, {"id": 9, "name": "AYDIN"}, {"id": 10, "name": "BALIKES\u0130R"}, {"id": 74, "name": "BARTIN"}, {"id": 72, "name": "BATMAN"}, {"id": 69, "name": "BAYBURT"}, {"id": 11, "name": "B\u0130LEC\u0130K"}, {"id": 12, "name": "B\u0130NG\u00d6L"}, {"id": 13, "name": "B\u0130TL\u0130S"}, {"id": 14, "name": "BOLU"}, {"id": 15, "name": "BURDUR"}, {"id": 16, "name": "BURSA"}, {"id": 17, "name": "\u00c7ANAKKALE"}, {"id": 18, "name": "\u00c7ANKIRI"}, {"id": 19, "name": "\u00c7ORUM"}, {"id": 20, "name": "DEN\u0130ZL\u0130"}, {"id": 21, "name": "D\u0130YARBAKIR"}, {"id": 81, "name": "D\u00dcZCE"}, {"id": 22, "name": "ED\u0130RNE"}, {"id": 23, "name": "ELAZI\u011e"}, {"id": 24, "name": "ERZ\u0130NCAN"}, {"id": 25, "name": "ERZURUM"}, {"id": 26, "name": "ESK\u0130\u015eEH\u0130R"}, {"id": 27, "name": "GAZ\u0130ANTEP"}, {"id": 28, "name": "G\u0130RESUN"}, {"id": 502, "name": "G\u0130RNE (KIBRIS)"}, {"id": 29, "name": "G\u00dcM\u00dc\u015eHANE"}, {"id": 30, "name": "HAKKAR\u0130"}, {"id": 31, "name": "HATAY"}, {"id": 76, "name": "I\u011eDIR"}, {"id": 32, "name": "ISPARTA"}, {"id": 34, "name": "\u0130STANBUL"}, {"id": 35, "name": "\u0130ZM\u0130R"}, {"id": 46, "name": "KAHRAMANMARA\u015e"}, {"id": 78, "name": "KARAB\u00dcK"}, {"id": 70, "name": "KARAMAN"}, {"id": 36, "name": "KARS"}, {"id": 37, "name": "KASTAMONU"}, {"id": 38, "name": "KAYSER\u0130"}, {"id": 71, "name": "KIRIKKALE"}, {"id": 39, "name": "KIRKLAREL\u0130"}, {"id": 40, "name": "KIR\u015eEH\u0130R"}, {"id": 79, "name": "K\u0130L\u0130S"}, {"id": 41, "name": "KOCAEL\u0130"}, {"id": 42, "name": "KONYA"}, {"id": 43, "name": "K\u00dcTAHYA"}, {"id": 501, "name": "LEFKO\u015eE (KIBRIS)"}, {"id": 503, "name": "MA\u011eUSA (KIBRIS)"}, {"id": 44, "name": "MALATYA"}, {"id": 45, "name": "MAN\u0130SA"}, {"id": 47, "name": "MARD\u0130N"}, {"id": 33, "name": "MERS\u0130N"}, {"id": 48, "name": "MU\u011eLA"}, {"id": 49, "name": "MU\u015e"}, {"id": 50, "name": "NEV\u015eEH\u0130R"}, {"id": 51, "name": "N\u0130\u011eDE"}, {"id": 52, "name": "ORDU"}, {"id": 80, "name": "OSMAN\u0130YE"}, {"id": 53, "name": "R\u0130ZE"}, {"id": 54, "name": "SAKARYA"}, {"id": 55, "name": "SAMSUN"}, {"id": 56, "name": "S\u0130\u0130RT"}, {"id": 57, "name": "S\u0130NOP"}, {"id": 58, "name": "S\u0130VAS"}, {"id": 63, "name": "\u015eANLIURFA"}, {"id": 73, "name": "\u015eIRNAK"}, {"id": 59, "name": "TEK\u0130RDA\u011e"}, {"id": 60, "name": "TOKAT"}, {"id": 61, "name": "TRABZON"}, {"id": 62, "name": "TUNCEL\u0130"}, {"id": 64, "name": "U\u015eAK"}, {"id": 65, "name": "VAN"}, {"id": 77, "name": "YALOVA"}, {"id": 66, "name": "YOZGAT"}, {"id": 67, "name": "ZONGULDAK"}] | {"type": "object", "properties": {"0": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "1": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "2": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "3": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "4": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "5": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "6": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "7": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "8": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "9": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "10": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "11": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "12": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "13": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "14": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "15": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "16": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "17": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "18": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "19": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "20": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "21": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "22": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "23": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "24": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "25": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "26": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "27": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "28": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "29": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "30": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "31": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "32": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "33": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "34": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "35": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "36": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "37": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "38": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "39": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "40": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "41": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "42": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "43": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "44": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "45": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "46": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "47": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "48": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "49": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "50": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "51": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "52": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "53": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "54": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "55": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "56": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "57": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "58": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "59": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "60": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "61": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "62": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "63": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "64": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "65": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "66": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "67": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "68": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "69": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "70": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "71": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "72": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "73": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "74": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "75": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "76": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "77": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "78": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "79": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}, "80": {"type": "object", "properties": {"id": {"type": "integer"}, "name": {"type": "string"}}}}} |
eb0a220f-e3c9-4b39-bec5-d21f4bf19659/139eb8f1-c3d9-45ea-94bf-ba35138f934a/0/0 | OutSystems Community API | Get information about the OutSystems community. This is not an official OutSystems API. | 6.3 | get_profile | Returns the details of a profile. | 200 | Response | {"profile": {"profile_id": "yjjslxnjng", "name": "Miguel 'Kelter' Antunes", "image_url": "https://www.outsystems.com/Website_Core_Widgets/photo.aspx?userguid=yjjslxnjng&smallimg=false", "profile_url": "https://www.outsystems.com/profile/yjjslxnjng/overview", "job_title": "Solutions Architect", "Company": "Do iT Lean", "social": {"linkedin": "https://www.linkedin.com/in/miguel-antunes-20401621", "twitter": "https://twitter.com/miguel_kelter"}, "location": "Porto Area, Portugal", "os_friend_since": "2016-10-12", "is_mvp": true, "is_speaker": true, "is_champion": false, "is_staff": false, "community_rank": 1, "total_kudos": 0, "total_components": 79, "total_marked_as_solution": 0, "community_score": {"profile_score": 10, "training_score": 1486, "forums_score": 2056, "forge_score": 50992, "ideas_score": 18, "total_score": 54562}, "forums": {"total_posts": 11, "total_comments": 340}, "ideas": {"total_submitted": 0, "total_commented": 9}, "forge": {"total_components": 79}, "publications": {"total_articles": 4}, "description": "<p>Like my components? <a href=\"https://miguel-antunes.outsystemscloud.com/go/to.aspx?c=osdonate\" rel=\"noopener noreferrer\" target=\"_blank\">Buy me a beer</a> :) and support my work. </p><p><br></p><p><a href=\"https://miguel-antunes.outsystemscloud.com/aboutme/\">About me</a> I've been in web development environment for 10 years and I'm passionate about technology and innovation. I consider myself as a web performance maniac. In some of my spare time I like to work on software projects, exploring and learning state-of-the-art technologies. That along with enjoying life by traveling with my lovely girl and then edit travel footage into youtube videos, playing computer and mobile games and most recently I discovered the aquascaping hobby. As Web Developer on my daily basis I use Javascript, jQuery, HTML5, CSS, Rest APIs, Bootstrap, C#, SQL, OutSystems. I'm open minded to all technologies with great ability to learn and effectively use them.</p>", "CertificationsCount": 2, "SpecializationCount": 1, "Certifications": [{"CertificationTitle": "Expert Traditional Web Developer", "CertificationAquisitionDate": "2020-06-02"}, {"CertificationTitle": "Associate Reactive Developer", "CertificationAquisitionDate": "2019-02-13"}], "Specializations": [{"CertificationTitle": "Mobile Developer Specialist", "CertificationAquisitionDate": "2019-02-13"}]}, "status": "ok", "status_message": "Query was successful", "@meta": {"api_version": "v1", "execution_time": "2244ms", "cache_hit": false}} | {"$schema": "http://json-schema.org/schema#", "type": "object", "properties": {"profile": {"type": "object", "properties": {"profile_id": {"type": "string"}, "name": {"type": "string"}, "image_url": {"type": "string"}, "profile_url": {"type": "string"}, "job_title": {"type": "string"}, "Company": {"type": "string"}, "social": {"type": "object", "properties": {"linkedin": {"type": "string"}, "twitter": {"type": "string"}}, "required": ["linkedin", "twitter"]}, "location": {"type": "string"}, "os_friend_since": {"type": "string"}, "is_mvp": {"type": "boolean"}, "is_speaker": {"type": "boolean"}, "is_champion": {"type": "boolean"}, "is_staff": {"type": "boolean"}, "community_rank": {"type": "integer"}, "total_kudos": {"type": "integer"}, "total_components": {"type": "integer"}, "total_marked_as_solution": {"type": "integer"}, "community_score": {"type": "object", "properties": {"profile_score": {"type": "integer"}, "training_score": {"type": "integer"}, "forums_score": {"type": "integer"}, "forge_score": {"type": "integer"}, "ideas_score": {"type": "integer"}, "total_score": {"type": "integer"}}, "required": ["forge_score", "forums_score", "ideas_score", "profile_score", "total_score", "training_score"]}, "forums": {"type": "object", "properties": {"total_posts": {"type": "integer"}, "total_comments": {"type": "integer"}}, "required": ["total_comments", "total_posts"]}, "ideas": {"type": "object", "properties": {"total_submitted": {"type": "integer"}, "total_commented": {"type": "integer"}}, "required": ["total_commented", "total_submitted"]}, "forge": {"type": "object", "properties": {"total_components": {"type": "integer"}}, "required": ["total_components"]}, "publications": {"type": "object", "properties": {"total_articles": {"type": "integer"}}, "required": ["total_articles"]}, "description": {"type": "string"}, "CertificationsCount": {"type": "integer"}, "SpecializationCount": {"type": "integer"}, "Certifications": {"type": "array", "items": {"type": "object", "properties": {"CertificationTitle": {"type": "string"}, "CertificationAquisitionDate": {"type": "string"}}, "required": ["CertificationAquisitionDate", "CertificationTitle"]}}, "Specializations": {"type": "array", "items": {"type": "object", "properties": {"CertificationTitle": {"type": "string"}, "CertificationAquisitionDate": {"type": "string"}}, "required": ["CertificationAquisitionDate", "CertificationTitle"]}}}, "required": ["Certifications", "CertificationsCount", "Company", "SpecializationCount", "Specializations", "community_rank", "community_score", "description", "forge", "forums", "ideas", "image_url", "is_champion", "is_mvp", "is_speaker", "is_staff", "job_title", "location", "name", "os_friend_since", "profile_id", "profile_url", "publications", "social", "total_components", "total_kudos", "total_marked_as_solution"]}, "status": {"type": "string"}, "status_message": {"type": "string"}, "@meta": {"type": "object", "properties": {"api_version": {"type": "string"}, "execution_time": {"type": "string"}, "cache_hit": {"type": "boolean"}}, "required": ["api_version", "cache_hit", "execution_time"]}}, "required": ["@meta", "profile", "status", "status_message"]} |
499e952d-592a-4fca-912c-e032f995e67a/02de23bb-4bc5-41d4-ad89-31ec0544cef3/0/0 | Web Traffic | Get detailed info on where users are spending their time on the internet. | 7.8 | Traffic | Get the traffic data | 200 | 200 | {"rankings": {"category_rank": "#11", "country_rank": "#479", "global_rank": "#576"}, "company": {"category": "Video Games Consoles and Accessories", "company": "Nintendo Co., Ltd.", "employees": "1001 - 5000", "hq": "Japan", "revenue": "> $1.0B"}, "engagement": {"avg_visit_duration": "00:03:51", "bounce_rate": "35.09%", "last_month_change": "5.86%", "pages_per_visit": "5.09", "total_visits": "61.6M"}, "geoTraffic": [{"change": "7.85%", "contribution": "38.82%", "country": "United States"}, {"change": "-5.35%", "contribution": "16.40%", "country": "Japan"}, {"change": "7.53%", "contribution": "5.77%", "country": "Canada"}, {"change": "-2.51%", "contribution": "3.07%", "country": "China"}, {"change": "0.02%", "contribution": "2.53%", "country": "United Kingdom"}, {"change": "", "contribution": "33.42%", "country": "Others"}], "socialTraffic": [{"contribution": "36.37%", "network": "Twitter"}, {"contribution": "25.71%", "network": "Youtube"}, {"contribution": "22.49%", "network": "Reddit"}, {"contribution": "9.80%", "network": "Facebook"}, {"contribution": "1.78%", "network": "Linkedin"}, {"contribution": "3.86%", "network": "Others"}], "trafficSplit": {"organic": "96.19%", "paid": "3.81%"}, "marketingTraffic": [{"channel": "Direct", "contribution": "33.74%"}, {"channel": "Referrals", "contribution": "10.35%"}, {"channel": "Search", "contribution": "47.23%"}, {"channel": "Social", "contribution": "4.96%"}, {"channel": "Mail", "contribution": "2.78%"}, {"channel": "Display", "contribution": "0.94%"}], "peers": ["nintendolife.com", "gamestop.com", "xbox.com", "gamespot.com", "ign.com", "polygon.com", "epicgames.com", "sega.com", "gamerant.com", "gamesradar.com"], "audinceIntrests": ["Video Games Consoles and Accessories", "Computers Electronics and Technology", "Programming and Developer Software", "Adult", "games", "video games", "game", "news", "shopping"], "site": "nintendo.com"} | {"type": "object", "properties": {"rankings": {"type": "object", "properties": {"category_rank": {"type": "string"}, "country_rank": {"type": "string"}, "global_rank": {"type": "string"}}}, "company": {"type": "object", "properties": {"category": {"type": "string"}, "company": {"type": "string"}, "employees": {"type": "string"}, "hq": {"type": "string"}, "revenue": {"type": "string"}}}, "engagement": {"type": "object", "properties": {"avg_visit_duration": {"type": "string"}, "bounce_rate": {"type": "string"}, "last_month_change": {"type": "string"}, "pages_per_visit": {"type": "string"}, "total_visits": {"type": "string"}}}, "geoTraffic": {"type": "array", "items": {"type": "object", "properties": {"change": {"type": "string"}, "contribution": {"type": "string"}, "country": {"type": "string"}}}}, "socialTraffic": {"type": "array", "items": {"type": "object", "properties": {"contribution": {"type": "string"}, "network": {"type": "string"}}}}, "trafficSplit": {"type": "object", "properties": {"organic": {"type": "string"}, "paid": {"type": "string"}}}, "marketingTraffic": {"type": "array", "items": {"type": "object", "properties": {"channel": {"type": "string"}, "contribution": {"type": "string"}}}}, "peers": {"type": "array", "items": {"type": "string"}}, "audinceIntrests": {"type": "array", "items": {"type": "string"}}, "site": {"type": "string"}}} |
b8039b89-ac1c-4efd-85d0-5ce35e6d9db2/eeaab480-6312-437d-ae72-f80519b5437f/0/0 | Fipe | Obtenha dados da tabela Fipe via REST API | null | Consultar tabela de referência | Obtém dados da tabela de referência. | 200 | New Example | [{"Codigo": 291, "Mes": "novembro/2022 "}, {"Codigo": 290, "Mes": "outubro/2022 "}, {"Codigo": 289, "Mes": "setembro/2022 "}, {"Codigo": 288, "Mes": "agosto/2022 "}, {"Codigo": 287, "Mes": "julho/2022 "}] | {"type": "array", "items": {"type": "object", "properties": {"Codigo": {"type": "integer"}, "Mes": {"type": "string"}}}} |
b8039b89-ac1c-4efd-85d0-5ce35e6d9db2/9f2d6ce9-8f5b-43a7-b4e3-fbc5518d7114/0/0 | Fipe | Obtenha dados da tabela Fipe via REST API | null | Consultar modelos através do ano | Obtém os modelos para marca, mês de referência e ano modelo. | 200 | Modelos através do ano | [{"Label": "AZERA 3.0 V6 24V 4p Aut.", "Value": "5726"}, {"Label": "AZERA GLS 3.3 V6 24V 4p Aut.", "Value": "4403"}, {"Label": "i30 2.0 16V 145cv 5p Aut.", "Value": "4925"}, {"Label": "i30 2.0 16V 145cv 5p Mec.", "Value": "5071"}, {"Label": "i30cw 2.0 16V 145cv Aut. 5p", "Value": "5303"}, {"Label": "i30cw 2.0 16V 145cv Mec. 5p", "Value": "5304"}] | {"type": "array", "items": {"type": "object", "properties": {"Label": {"type": "string"}, "Value": {"type": "string"}}}} |
b8039b89-ac1c-4efd-85d0-5ce35e6d9db2/7365ee5b-2553-4c38-a952-18435d49db1c/0/0 | Fipe | Obtenha dados da tabela Fipe via REST API | null | Consultar modelos | Obtém os modelos para marca e mês de referência | 200 | Modelos | {"Modelos": [{"Label": "AM-825 Luxo 4.0 Diesel", "Value": 24}, {"Label": "AM-825 Super Luxo 4.0 Diesel", "Value": 25}, {"Label": "Hi-Topic SLX/SDX/DLX Full Diesel", "Value": 26}], "Anos": [{"Label": "1999 Gasolina", "Value": "1999-1"}, {"Label": "1999 Diesel", "Value": "1999-3"}, {"Label": "1998 Gasolina", "Value": "1998-1"}]} | {"type": "object", "properties": {"Modelos": {"type": "array", "items": {"type": "object", "properties": {"Label": {"type": "string"}, "Value": {"type": "integer"}}}}, "Anos": {"type": "array", "items": {"type": "object", "properties": {"Label": {"type": "string"}, "Value": {"type": "string"}}}}}} |
b8039b89-ac1c-4efd-85d0-5ce35e6d9db2/56d6820d-6765-4a6e-9c21-28c31001275e/0/0 | Fipe | Obtenha dados da tabela Fipe via REST API | null | Consultar valor com todos parâmetros | Obtém o valor do veículo para mês de referência, marca, modelo e ano modelo. | 200 | Valor com todos parâmetros | {"Valor": "R$ 39.225,00", "Marca": "Hyundai", "Modelo": "AZERA GLS 3.3 V6 24V 4p Aut.", "AnoModelo": 2011, "Combustivel": "Gasolina", "CodigoFipe": "015069-0", "MesReferencia": "julho de 2018 ", "Autenticacao": "s47hx3btzqfx", "TipoVeiculo": 1, "SiglaCombustivel": "G", "DataConsulta": "sexta-feira, 4 de novembro de 2022 18:13"} | {"type": "object", "properties": {"Valor": {"type": "string"}, "Marca": {"type": "string"}, "Modelo": {"type": "string"}, "AnoModelo": {"type": "integer"}, "Combustivel": {"type": "string"}, "CodigoFipe": {"type": "string"}, "MesReferencia": {"type": "string"}, "Autenticacao": {"type": "string"}, "TipoVeiculo": {"type": "integer"}, "SiglaCombustivel": {"type": "string"}, "DataConsulta": {"type": "string"}}} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.