App Store Reviews Scraper — Fast & Reliable

Extract Apple App Store reviews for any iOS/macOS app across 175 country storefronts — as clean, structured JSON. Built directly on Apple's own public feeds, so it never breaks the way headless-browser scrapers do.

What you get per review

{
    "review_id": "12345678901",
    "title": "Love this app",
    "text": "Been using it daily for a year...",
    "rating": 5,
    "author": "nickname123",
    "app_version": "382.0",
    "date": "2026-07-15T09:12:44-07:00",
    "vote_sum": 3,
    "vote_count": 4,
    "country": "us",
    "app_id": "389801252",
    "app_name": "Instagram"
}

Why this scraper

• ✅ Never breaks — uses Apple's official public review feeds, not fragile UI scraping
• ✅ Multi-country in one run — pass ["us", "gb", "de", "tr", "jp"] and get each storefront's reviews
• ✅ Multi-app in one run — track your whole portfolio or your competitors' apps
• ✅ Fast & cheap — no browser, no proxies, no login
• ✅ Sort by recency or helpfulness

Use cases

• Product teams: monitor sentiment after each release, catch bug complaints early
• ASO & mobile marketing: mine competitor reviews for feature gaps and keywords
• AI & NLP pipelines: feed structured review text into sentiment/LLM analysis
• Agencies: automated weekly review reports for clients

Input example

{
    "appIds": ["389801252", "310633997"],
    "countries": ["us", "gb"],
    "sort": "mostrecent",
    "maxReviewsPerApp": 500
}

Limits

Apple's feeds expose up to ~500 reviews per app, per country, per sort order (10 pages × 50). Run on a schedule to build a complete historical dataset over time.

FAQ

Is this legal? The actor reads Apple's publicly available review feeds — the same data anyone sees on the App Store. No login, no private data.

Google Play too? This actor is App Store-only by design — one tool, done well. A companion Google Play actor is on the roadmap.