PlaceSummary / app.py
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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})