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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(google_maps_url): | |
apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp") | |
run_input = {"startUrls": [{"url": google_maps_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 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: | |
# Fetch and Display Website Content | |
google_maps_url = google_maps_data.get('url') | |
website_content_data = fetch_website_content(google_maps_url) | |
progress_bar.progress(75) | |
if website_content_data: | |
website_df = pd.DataFrame(website_content_data) | |
st.table(website_df) | |
else: | |
st.write("Unable to retrieve website content.") | |
# Fetch customer reviews from the new API and display them | |
reviews_data = fetch_customer_reviews(google_maps_url) | |
reviews_df = pd.DataFrame(reviews_data)[['text']] | |
st.subheader("Customer Reviews from New API") | |
st.table(reviews_df) | |
else: | |
st.write("No results found for this website / company name on Google Maps.") |