app.py

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

# 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("antonces~gmaps").call(run_input=run_input)
    items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
    return items[0] if items else None

# Function to fetch customer reviews using the new API
def fetch_customer_reviews(location_query):
    client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
    run_input = {
        "searchStringsArray": ["restaurant"],
        "locationQuery": location_query,
        "maxCrawledPlacesPerSearch": 50,
        "language": "en",
        "maxImages": None,
        "onlyDataFromSearchPage": False,
        "includeWebResults": False,
        "deeperCityScrape": False,
        "maxReviews": None,
        "oneReviewPerRow": False,
        "reviewsSort": "newest",
        "reviewsFilterString": "",
        "scrapeReviewerName": True,
        "scrapeReviewerId": True,
        "scrapeReviewerUrl": True,
        "scrapeReviewId": True,
        "scrapeReviewUrl": True,
        "scrapeResponseFromOwnerText": True,
        "countryCode": None,
        "searchMatching": "all",
        "placeMinimumStars": "",
        "skipClosedPlaces": False,
        "allPlacesNoSearchAction": "",
    }
    run = client.actor("mc9KJTQJg3zfQpANg/nwua9Gu5YrADL7ZDj").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:
    # Fetch Google Maps data
    google_maps_data = fetch_google_maps_info(website_name)
    
    if google_maps_data:
        location_query = google_maps_data.get("locationQuery")
        reviews_data = fetch_customer_reviews(location_query)
        
        # Display Google Maps data
        # ... (use the original display code for Google Maps data here) ...
        
        # Display reviews_data
        review_df = pd.DataFrame(reviews_data)
        st.subheader("Customer Reviews from New API")
        st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
    else:
        st.write("No results found for this website / company name on Google Maps.")