app.py

import streamlit as st
import pandas as pd
import requests
from apify_client import ApifyClient

# Function to fetch Google Maps info using the nwua9Gu5YrADL7ZDj 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 moJRLRc85AitArpNN 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)
    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")

# 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(33)
    
    if google_maps_data:
        location_query = google_maps_data.get("locationQuery")
        reviews_data = fetch_customer_reviews(location_query)
        progress_bar.progress(66)

        # Display the rest of the Google Maps data
        # ... (use the original display code for Google Maps data here) ...

        # 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']])

        progress_bar.progress(100)
    else:
        st.write("No results found for this website / company name on Google Maps.")