Google Maps Scraper: Accurate Local Business Insights and Location Data Extraction

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_google_maps_listing(url):
    response = requests.get(url, headers=HEADERS)
    
    if response.status_code != 200:
        return None
    
    soup = BeautifulSoup(response.text, "lxml")

    return {
        "Business_Name": soup.find("h1", {"class": "DUwDvf"}).text.strip() if soup.find("h1", {"class": "DUwDvf"}) else "N/A",
        "Rating": soup.find("div", {"class": "F7nice"}).text.strip() if soup.find("div", {"class": "F7nice"}) else "N/A",
        "Address": soup.find("button", {"data-item-id": "address"}).text.strip() if soup.find("button", {"data-item-id": "address"}) else "N/A",
        "Phone": soup.find("button", {"data-item-id": "phone"}).text.strip() if soup.find("button", {"data-item-id": "phone"}) else "N/A",
        "Website": soup.find("a", {"data-item-id": "authority"}).get("href") if soup.find("a", {"data-item-id": "authority"}) else "N/A"
    }

# Example Google Maps business listing URL
google_maps_url = "https://www.google.com/maps/place/example-business"

data = scrape_google_maps_listing(google_maps_url)
print(data)