import streamlit as st import pandas as pd from apify_client import ApifyClient # Function to fetch Google Maps info using the updated 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) items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items()) return items[0] if items else None # Function to fetch weather info from OpenWeatherMap API def fetch_weather_info(lat, lon): API_KEY = "91b23cab82ee530b2052c8757e343b0d" url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&exclude=hourly,daily&appid={API_KEY}" response = requests.get(url) return response.json() # Function to fetch website content using the updated actor def fetch_website_content(website_url): apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp") run_input = {} run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input) items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items()) return items if items else None # Function to fetch reviews using the new actor def fetch_customer_reviews(google_maps_url): apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp") run_input = { "startUrls": [{"url": google_maps_url}], "maxReviews": 20, "reviewsSort": "newest", "language": "en", "personalData": True, } run = apify_client.actor("Xb8osYTtOjlsgI6k9").call(run_input=run_input) items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items()) return items # Streamlit app for Data Visualization st.title("Data Visualization") # Input for website or company name website_name = st.text_input("Enter a website / company name:") if website_name: # Initialize the progress bar progress_bar = st.progress(0) # Fetch Google Maps data google_maps_data = fetch_google_maps_info(website_name) progress_bar.progress(50) if google_maps_data: # Display website link website_link = google_maps_data.get('website') st.text_area("Website Link:", website_link) # 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)) # Fetch customer reviews from the new API google_maps_url = google_maps_data.get('url') reviews_data = fetch_customer_reviews(google_maps_url) progress_bar.progress(75) # Display the reviews from the new API reviews_df = pd.DataFrame(reviews_data)[['text']] st.subheader("Customer Reviews from New API") st.table(reviews_df) # 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.")