import streamlit as st from apify_client import ApifyClient import requests # API Keys APIFY_KEY = 'apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp' WEATHER_KEY = '91b23cab82ee530b2052c8757e343b0d' # Set up clients apify_client = ApifyClient(APIFY_KEY) st.title("Comprehensive Place Summary App") website_name = st.text_input("Enter website / company name:") # 1. Website API Integration (if needed in the future) def fetch_website_content(website_name): run = apify_client.actor("mc9KJTQJg3zfQpANg/aYG0l9s7dbB7j3gbS").call(run_input={}) items = [item for item in apify_client.dataset(run["defaultDatasetId"]).iterate_items()] return items # 2. Google Maps API Integration def fetch_google_maps_info(website_name): run_input = { "searchStringsArray": [website_name], "locationQuery": "New York, USA", #... other parameters you've mentioned } run = apify_client.actor("mc9KJTQJg3zfQpANg/nwua9Gu5YrADL7ZDj").call(run_input=run_input) items = [item for item in apify_client.dataset(run["defaultDatasetId"]).iterate_items()] return items # 3. Weather API Integration def fetch_weather_data(lat, lon): url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&appid={WEATHER_KEY}" response = requests.get(url) data = response.json() return data if website_name: google_maps_data = fetch_google_maps_info(website_name) # Presenting Google Maps data in a Streamlit table st.subheader("Google Maps Data:") st.table(google_maps_data) # Extracting lat and lon and fetching weather data lat, lon = google_maps_data[0]['location']['lat'], google_maps_data[0]['location']['lon'] weather_data = fetch_weather_data(lat, lon) # Display the fetched weather data st.subheader("Weather Data:") st.write(weather_data['current']) # Displaying current weather data, but you can format this as needed. # Displaying the place location on a Streamlit map st.subheader("Place Location:") st.map({"lat": lat, "lon": lon})