Spaces:
Runtime error
Runtime error
File size: 12,784 Bytes
6c34694 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Company name Ad Text \\\n",
"0 Airtel India N/A \n",
"1 Airtel India N/A \n",
"2 Airtel India N/A \n",
"3 Airtel India N/A \n",
"4 Airtel India N/A \n",
"... ... ... \n",
"2663 T-mobile Polska N/A \n",
"2664 T-mobile Polska N/A \n",
"2665 T-mobile Polska Jak to się dzieje: liście spadają, a Internetu... \n",
"2666 T-mobile Polska N/A \n",
"2667 T-mobile Polska N/A \n",
"\n",
" Ad status Artwork Link \n",
"0 N/A N/A \n",
"1 N/A N/A \n",
"2 N/A N/A \n",
"3 N/A N/A \n",
"4 N/A N/A \n",
"... ... ... \n",
"2663 N/A N/A \n",
"2664 N/A N/A \n",
"2665 N/A https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"2666 N/A N/A \n",
"2667 N/A N/A \n",
"\n",
"[2668 rows x 4 columns]\n"
]
}
],
"source": [
"from selenium import webdriver \n",
"from selenium.webdriver.common.by import By \n",
"from selenium.webdriver.chrome.service import Service as ChromeService \n",
"from webdriver_manager.chrome import ChromeDriverManager\n",
"import time\n",
"from bs4 import BeautifulSoup \n",
"import pandas as pd\n",
"\n",
"# instantiate options \n",
"options = webdriver.ChromeOptions() \n",
"\n",
"# run browser in headless mode \n",
"options.headless = True \n",
"\n",
"# instantiate driver \n",
"driver = webdriver.Chrome(service=ChromeService( \n",
" ChromeDriverManager().install()), options=options) \n",
"\n",
"# List of companies and their URLs\n",
"companies_urls = {\n",
" \"Airtel India\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=ALL&view_all_page_id=147351511955143&sort_data[direction]=desc&sort_data[mode]=relevancy_monthly_grouped&search_type=page&media_type=all\",\n",
" \"Celcom Malaysia\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=ALL&view_all_page_id=103384636066809&sort_data[direction]=desc&sort_data[mode]=relevancy_monthly_grouped&search_type=page&media_type=all\",\n",
" \"Vodafone UK\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=ALL&view_all_page_id=67884984384&sort_data[direction]=desc&sort_data[mode]=relevancy_monthly_grouped&search_type=page&media_type=all\",\n",
" \"T-mobile Polska\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=ALL&view_all_page_id=166466416745074&sort_data[direction]=desc&sort_data[mode]=relevancy_monthly_grouped&search_type=page&media_type=all\"\n",
"}\n",
"\n",
"ad_details = []\n",
"\n",
"for company, url in companies_urls.items():\n",
" # Load the page\n",
" driver.get(url)\n",
"\n",
" # Scroll to the bottom of the page\n",
" last_height = driver.execute_script(\"return document.body.scrollHeight\")\n",
" \n",
" while True:\n",
" driver.execute_script(\"window.scrollTo(0, document.body.scrollHeight);\")\n",
" time.sleep(6) # Wait for new content to load\n",
" \n",
" new_height = driver.execute_script(\"return document.body.scrollHeight\")\n",
" if new_height == last_height:\n",
" break\n",
" last_height = new_height\n",
"\n",
" # Parse the page content\n",
" soup = BeautifulSoup(driver.page_source, 'html.parser')\n",
"\n",
" # Find advertisement details\n",
" ads = soup.find_all('div', class_='xh8yej3')\n",
"\n",
" for ad in ads:\n",
" # Extract the ad text\n",
" ad_text = ad.find('div', class_='x6ikm8r x10wlt62').text if ad.find('div', class_='x6ikm8r x10wlt62') else 'N/A'\n",
"\n",
" # Extract company name\n",
" company_name = company\n",
"\n",
" # Extract status\n",
" ad_status = ad.find('span', class_='x8t9es0 xw23nyj xo1l8bm x63nzvj x108nfp6 xq9mrsl x1h4wwuj xeuugli x1i64zmx').text if ad.find('span', class_='x8t9es0 xw23nyj xo1l8bm x63nzvj x108nfp6 xq9mrsl x1h4wwuj xeuugli x1i64zmx') else 'N/A'\n",
"\n",
" # Extract image or video link\n",
" img_tag = ad.find('img', class_='x1ll5gia x19kjcj4 xh8yej3')\n",
" video_tag = ad.find('video', class_='x1lliihq x5yr21d xh8yej3')\n",
"\n",
" if img_tag:\n",
" artwork_link = img_tag['src']\n",
" elif video_tag:\n",
" artwork_link = video_tag['src']\n",
" else:\n",
" artwork_link = 'N/A'\n",
"\n",
" ad_details.append({'Company name': company_name, 'Ad Text': ad_text, 'Ad status': ad_status, 'Artwork Link': artwork_link})\n",
"\n",
"# Close the WebDriver\n",
"driver.quit()\n",
"\n",
"# Convert to pandas DataFrame\n",
"df = pd.DataFrame(ad_details)\n",
"print(df)\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2668, 4)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"# Replace 'N/A' strings with np.nan\n",
"df.replace('N/A', np.nan, inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# Remove rows where all values are NaN\n",
"df_all_null_removed = df.dropna(how='all')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"duplicates = df_all_null_removed.duplicated()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Duplicate rows only:\n",
" Company name Ad Text Ad status Artwork Link\n",
"1 Airtel India NaN NaN NaN\n",
"2 Airtel India NaN NaN NaN\n",
"3 Airtel India NaN NaN NaN\n",
"4 Airtel India NaN NaN NaN\n",
"5 Airtel India NaN NaN NaN\n",
"... ... ... ... ...\n",
"2662 T-mobile Polska NaN Active NaN\n",
"2663 T-mobile Polska NaN NaN NaN\n",
"2664 T-mobile Polska NaN NaN NaN\n",
"2666 T-mobile Polska NaN NaN NaN\n",
"2667 T-mobile Polska NaN NaN NaN\n",
"\n",
"[2059 rows x 4 columns]\n"
]
}
],
"source": [
"# Filter duplicate rows\n",
"duplicate_rows = df_all_null_removed[df_all_null_removed.duplicated()]\n",
"\n",
"print(\"\\nDuplicate rows only:\\n\", duplicate_rows)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"DataFrame with duplicates removed:\n",
" Company name Ad Text \\\n",
"0 Airtel India NaN \n",
"59 Airtel India True Stories of Kerala by Airtel0:00 / 0:15AD.... \n",
"60 Airtel India True Stories of Kerala by Airtel0:00 / 0:15AD.... \n",
"78 Airtel India Sometimes there's no right & wrong. This isn't... \n",
"96 Airtel India Why……. not switch, when you get so many benefi... \n",
"... ... ... \n",
"2634 T-mobile Polska T-MOBILE.PLGet Offer \n",
"2640 T-mobile Polska Telefon, aplikacja i akcja! 🎬 Zapraszamy do Ci... \n",
"2646 T-mobile Polska Z Magenta Moments życie smakuje podwójnie. 💗 W... \n",
"2652 T-mobile Polska Najlepszy moment na zakupy? 🛍️ Ten, kiedy są n... \n",
"2660 T-mobile Polska Jak to się dzieje: liście spadają, a Internetu... \n",
"\n",
" Ad status Artwork Link \n",
"0 NaN NaN \n",
"59 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"60 Active https://video.fcmb1-2.fna.fbcdn.net/v/t42.1790... \n",
"78 Active https://video.fcmb1-2.fna.fbcdn.net/v/t42.1790... \n",
"96 Active https://video.fcmb1-2.fna.fbcdn.net/v/t42.1790... \n",
"... ... ... \n",
"2634 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"2640 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"2646 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"2652 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"2660 Active https://scontent.fcmb1-2.fna.fbcdn.net/v/t39.3... \n",
"\n",
"[263 rows x 4 columns]\n"
]
}
],
"source": [
"# Remove duplicate rows\n",
"df_no_duplicates = df_all_null_removed.drop_duplicates(subset=['Artwork Link'])\n",
"\n",
"print(\"\\nDataFrame with duplicates removed:\\n\", df_no_duplicates)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"from sqlalchemy import create_engine\n",
"\n",
"# Create MySQL engine\n",
"engine = create_engine('mysql+pymysql://root:Binu1997#$@localhost/research_db')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data uploaded successfully!\n"
]
}
],
"source": [
"# Upload DataFrame to SQL\n",
"df_no_duplicates.to_sql('ads_table', engine, if_exists='replace', index=False)\n",
"\n",
"print(\"Data uploaded successfully!\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "myenv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|