Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -1,8 +1,7 @@
|
|
1 |
import streamlit as st
|
2 |
import pandas as pd
|
3 |
-
import numpy as np
|
4 |
-
from apify_client import ApifyClient
|
5 |
import requests
|
|
|
6 |
|
7 |
# Function to fetch Google Maps info
|
8 |
def fetch_google_maps_info(website_name):
|
@@ -12,21 +11,21 @@ def fetch_google_maps_info(website_name):
|
|
12 |
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
13 |
return items[0] if items else None
|
14 |
|
15 |
-
# Function to fetch website content using Apify actor
|
16 |
-
def fetch_website_content(website_url):
|
17 |
-
apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
|
18 |
-
run_input = {"startUrls": [website_url]}
|
19 |
-
run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input)
|
20 |
-
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
21 |
-
return items[0] if items else None
|
22 |
-
|
23 |
# Function to fetch weather info
|
24 |
def fetch_weather_info(lat, lon):
|
25 |
-
API_KEY = "
|
26 |
url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&exclude=hourly,daily&appid={API_KEY}"
|
27 |
response = requests.get(url)
|
28 |
return response.json()
|
29 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
30 |
# Streamlit app
|
31 |
st.title("Data Visualization")
|
32 |
|
@@ -40,13 +39,6 @@ if website_name:
|
|
40 |
website_link = google_maps_data.get('website')
|
41 |
st.text_area("Website Link:", website_link)
|
42 |
|
43 |
-
# Fetch and display website content
|
44 |
-
website_content = fetch_website_content(website_link)
|
45 |
-
if website_content:
|
46 |
-
st.subheader("Scraped Website Content")
|
47 |
-
content_df = pd.DataFrame(website_content)
|
48 |
-
st.table(content_df)
|
49 |
-
|
50 |
# Display location and fetch weather info
|
51 |
lat = google_maps_data["location"]["lat"]
|
52 |
lng = google_maps_data["location"]["lng"]
|
@@ -85,6 +77,14 @@ if website_name:
|
|
85 |
st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
|
86 |
else:
|
87 |
st.write("No reviews available.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
88 |
|
89 |
else:
|
90 |
-
st.write("No results found for this website / company name on Google Maps.")
|
|
|
1 |
import streamlit as st
|
2 |
import pandas as pd
|
|
|
|
|
3 |
import requests
|
4 |
+
from apify_client import ApifyClient
|
5 |
|
6 |
# Function to fetch Google Maps info
|
7 |
def fetch_google_maps_info(website_name):
|
|
|
11 |
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
12 |
return items[0] if items else None
|
13 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
# Function to fetch weather info
|
15 |
def fetch_weather_info(lat, lon):
|
16 |
+
API_KEY = "apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp"
|
17 |
url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&exclude=hourly,daily&appid={API_KEY}"
|
18 |
response = requests.get(url)
|
19 |
return response.json()
|
20 |
|
21 |
+
# Function to fetch website content
|
22 |
+
def fetch_website_content(website_url):
|
23 |
+
apify_client = ApifyClient("<YOUR_API_TOKEN>")
|
24 |
+
run_input = {}
|
25 |
+
run = apify_client.actor("mc9KJTQJg3zfQpANg/aYG0l9s7dbB7j3gbS").call(run_input=run_input)
|
26 |
+
items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
|
27 |
+
return items[0] if items else None
|
28 |
+
|
29 |
# Streamlit app
|
30 |
st.title("Data Visualization")
|
31 |
|
|
|
39 |
website_link = google_maps_data.get('website')
|
40 |
st.text_area("Website Link:", website_link)
|
41 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
# Display location and fetch weather info
|
43 |
lat = google_maps_data["location"]["lat"]
|
44 |
lng = google_maps_data["location"]["lng"]
|
|
|
77 |
st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
|
78 |
else:
|
79 |
st.write("No reviews available.")
|
80 |
+
|
81 |
+
# Website Content
|
82 |
+
st.subheader("Website Content")
|
83 |
+
website_content_data = fetch_website_content(website_link)
|
84 |
+
if website_content_data:
|
85 |
+
st.table(pd.DataFrame(website_content_data))
|
86 |
+
else:
|
87 |
+
st.write("Unable to retrieve website content.")
|
88 |
|
89 |
else:
|
90 |
+
st.write("No results found for this website / company name on Google Maps.")
|