Update app.py

app.py

@@ -3,11 +3,11 @@ import pandas as pd
 import requests
 from apify_client import ApifyClient
 
-# Function to fetch Google Maps info using the nwua9Gu5YrADL7ZDj actor
+# Function to fetch Google Maps info using the antonces~gmaps actor
 def fetch_google_maps_info(website_name):
     apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
     run_input = {"searchStringsArray": [website_name]}
-    run = apify_client.actor("nwua9Gu5YrADL7ZDj").call(run_input=run_input)
+    run = apify_client.actor("antonces~gmaps").call(run_input=run_input)
     items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
     return items[0] if items else None
 
@@ -18,25 +18,14 @@ def fetch_weather_info(lat, lon):
     response = requests.get(url)
     return response.json()
 
-# Function to fetch website content using the moJRLRc85AitArpNN actor
+# Function to fetch website content using the antonces~web-scraper-task actor
 def fetch_website_content(website_url):
     apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
-    run_input = {"url": website_url}
-    run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input)
+    run_input = {}
+    run = apify_client.actor("antonces~web-scraper-task").call(run_input=run_input)
     items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
     return items if items else None
 
-# Function to fetch customer reviews using the Xb8osYTtOjlsgI6k9 actor
-def fetch_customer_reviews(location_query):
-    client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
-    run_input = {
-        "searchStringsArray": ["restaurant"],
-        "locationQuery": location_query,
-        "language": "en",
-    }
-    run = client.actor("Xb8osYTtOjlsgI6k9").call(run_input=run_input)
-    return list(client.dataset(run["defaultDatasetId"]).iterate_items())
-
 # Streamlit app for Data Visualization
 st.title("Data Visualization")
 
@@ -49,21 +38,55 @@ if website_name:
     
     # Fetch Google Maps data
     google_maps_data = fetch_google_maps_info(website_name)
-    progress_bar.progress(33)
-    
-    if google_maps_data:
-        location_query = google_maps_data.get("locationQuery")
-        reviews_data = fetch_customer_reviews(location_query)
-        progress_bar.progress(66)
+    progress_bar.progress(50)
 
-        # Display the rest of the Google Maps data
-        # ... (use the original display code for Google Maps data here) ...
+    if google_maps_data:
+        # Display website link
+        website_link = google_maps_data.get('website')
+        st.text_area("Website Link:", website_link)
 
-        # Display reviews_data from the new API
-        reviews_df = pd.DataFrame(reviews_data)
-        st.subheader("Customer Reviews from New API")
-        st.table(reviews_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
+        # Display location and fetch weather info
+        lat = google_maps_data["location"]["lat"]
+        lng = google_maps_data["location"]["lng"]
+        st.map(pd.DataFrame({'lat': [lat], 'lon': [lng]}))
+        weather_data = fetch_weather_info(lat, lng)
+        current_weather = weather_data.get("current", {})
+        temp = current_weather.get('temp')
+        temp_in_celsius = temp - 273.15
+        st.write(f"**Location:** {lat}, {lng}")
+        st.write(f"**Temperature:** {temp_in_celsius:.2f}°C")
+        st.write(f"**Weather:** {current_weather.get('weather')[0].get('description')}")
+        
+        # Display Occupancy Data
+        st.subheader("Occupancy Data")
+        occupancy_data = google_maps_data.get('popularTimesHistogram', {})
+        for day, day_data in occupancy_data.items():
+            hours = [entry['hour'] for entry in day_data]
+            occupancy = [entry['occupancyPercent'] for entry in day_data]
+            st.write(day)
+            st.bar_chart(pd.Series(occupancy, index=hours))
 
+        # Display Review Count and Distribution
+        st.subheader("Review Count and Distribution")
+        st.write(f"Total Reviews Count: {google_maps_data['reviewsCount']}")
+        review_distribution = google_maps_data.get('reviewsDistribution', {})
+        st.bar_chart(pd.Series(review_distribution))
+        
+        # Display Reviews Table
+        st.subheader("Customer Reviews")
+        reviews = google_maps_data.get('reviews', [])
+        review_df = pd.DataFrame(reviews)
+        st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
+        
+        # Fetch and Display Website Content
+        st.subheader("Website Content")
+        website_content_data = fetch_website_content(website_link)
         progress_bar.progress(100)
+        
+        if website_content_data:
+            website_df = pd.DataFrame(website_content_data)
+            st.table(website_df)
+        else:
+            st.write("Unable to retrieve website content.")
     else:
         st.write("No results found for this website / company name on Google Maps.")