Scraping App Reviews at Scale: Google Play + App Store Combined

App reviews are a goldmine for product intelligence. Sentiment analysis, feature requests, bug reports, and competitive insights all live in review data. This tutorial shows you how to scrape reviews from both Google Play and the Apple App Store using Python. Architecture Overview We'll build a unified pipeline that: Scrapes Google Play reviews via a dedicated library Fetches App Store reviews via the RSS feed Normalizes data into a common schema Stores everything in a SQLite database Setup pip install requests beautifulsoup4 pandas google-play-scraper The google-play-scraper library handles Google Play natively, but we'll use ScraperAPI for any pages that need proxy rotation. Google Play Scraper from google_play_scraper import Sort , reviews import time def scrape_google_play_reviews ( app_id , count = 500 ): """ Scrape Google Play reviews for an app. """ all_reviews = [] result , token = reviews ( app_id , lang = " en " , country = " us " , sort = Sort . NEWEST , count = min ( count