No API key or login required. Extract structured app store reviews data on demand — clean JSON output, run via API, schedule and monitor runs, or integrate with your stack.

Scrape Apple App Store reviews and app metadata via Apple's public API. No proxy needed. Any app, any country. Ratings, review text, author, version, developer replies. Delta monitoring mode for new reviews only. Pair with Google Play Reviews for cross-platform ASO coverage.

✅ Score any domain (0-100) for ChatGPT Search, Perplexity, Claude & Gemini citation readiness ($15/1k domains). ✅ Audits /llms.txt, robots.txt AI crawlers (GPTBot/ClaudeBot), Schema.org JSON-LD & auto-generates a ready-to-deploy /llms.txt file.

Compare Google Play and Apple App Store reviews to identify shared issues, Android-only and iOS-only bugs, feature requests, rating differences, and release-impact signals.

Pull customer reviews from BOTH the Apple App Store and Google Play into one normalized schema: rating, title, body, author, date, app version, helpful votes, country. Resolve apps by id, URL, or search term. For product, CX and competitive review intelligence. No API key.

App Store Reviews Scraper | $0.10/1K | 175 Countries

extractkit/app-store-reviews-scraper

Scrape App Store reviews and ratings for any iOS app across all 175 Apple storefronts. Star rating, review text, author, app version and country. No login, no proxies. $0.10 per 1,000 reviews.

App Store Reviews Analysis - Complaints, Bugs & Bad Updates

centorprat/app-review-problem-scanner

Give it app names or App Store ids. Each is scanned from recent App Store reviews into a problem brief: the issue themes users report (crashes, login, update-broke, billing, bugs...), the version where complaints spiked, recent-vs-lifetime rating, and sample complaints. Keyless, agent-callable.

User reviews of iOS and Android apps in one Actor, with developer replies where the store publishes them.

Turn hundreds of App Store reviews into a clear report: satisfaction, top praises & complaints, aspect ratings, most-requested features, competitor comparison, recommendations, and a PDF.

Turn recurring reviews datasets into app store competitor release and review shift intelligence with snapshot deltas, confidence-scored GO/WARN/BLOCK decisions, and agent-ready recommended actions. Returns structured, machine-readable results for repeatable research, monitoring.