Google Play Scraper: Comprehensive App Data Collection and Performance Tracking

import requests
from bs4 import BeautifulSoup

# Custom headers to mimic a browser visit
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_google_play_app(url):
    response = requests.get(url, headers=HEADERS)
    if response.status_code != 200:
        return None

    soup = BeautifulSoup(response.text, "lxml")

    # Extracting app details from Google Play Store page
    app_data = {
        "App Name": soup.find("h1", {"class": "Fd93Bb"}).text.strip() if soup.find("h1", {"class": "Fd93Bb"}) else "N/A",
        "Rating": soup.find("div", {"class": "TT9eCd"}).text.strip() if soup.find("div", {"class": "TT9eCd"}) else "N/A",
        "Installs": soup.find("div", {"class": "ClM7O"}).text.strip() if soup.find("div", {"class": "ClM7O"}) else "N/A",
        "Price": soup.find("span", {"class": "VfPpfd"}).text.strip() if soup.find("span", {"class": "VfPpfd"}) else "N/A"
    }

    return app_data

# Example Google Play app URL
google_play_app_url = "https://play.google.com/store/apps/details?id=com.example.app"
data = scrape_google_play_app(google_play_app_url)

print(data)