App Store & Google Play Scraper – Apps, Reviews, Search, Top Charts

One actor for both mobile app stores. Get full app details, user reviews (with developer replies), keyword search results, top charts per category and country, and every app of a developer – from Google Play and the Apple App Store – as clean JSON/CSV.

• App details: title, description, developer (+ email/website/address on Google Play), rating, number of ratings, rating histogram, installs, price/currency, in-app purchases, ads, content rating, version, release/update dates, what's new, icon, screenshots, video, required OS, size, languages, privacy policy.
• Reviews: reviewer name, score, title, text, date, app version, thumbs up, developer reply & date (Google Play), per-criteria ratings, storefront country (App Store). Newest first, by rating or most helpful.
• Search: apps ranking for any keyword in any country/language – ASO keyword research.
• Top charts: top free / paid / grossing / new, per category, per country.
• Developer portfolios: all apps of a publisher.

No proxies or login required. Fast and cheap: $1 per 1,000 apps, $0.20 per 1,000 reviews.

Input examples

Apps + reviews:

{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music",
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "country": "us", "language": "en",
  "includeReviews": true, "maxReviewsPerApp": 500, "reviewsSort": "newest",
  "reviewsCountries": ["us", "gb", "de"]
}

Keyword research (ASO):

{ "searchTerms": ["meditation", "sleep sounds"], "stores": "both", "maxSearchResults": 100, "country": "de", "language": "de", "includeAppDetails": true, "includeReviews": false }

Top charts:

{ "topCharts": [ { "collection": "TOP_FREE", "category": "HEALTH_AND_FITNESS", "num": 100 }, { "collection": "GROSSING", "num": 50 } ], "country": "us" }

Google Play category IDs: APPLICATION, GAME, BUSINESS, EDUCATION, FINANCE, HEALTH_AND_FITNESS, SHOPPING, TOOLS, GAME_ACTION, … App Store genres: GAMES, BUSINESS, EDUCATION, FINANCE, HEALTH_AND_FITNESS, SHOPPING, UTILITIES, GAMES_ACTION, … (or numeric genre IDs).

Output

Items have a type of app or review (use the dataset views or filter by type).

{
  "type": "app", "store": "google-play", "appId": "com.spotify.music",
  "title": "Spotify: Music and Podcasts", "developer": "Spotify AB", "developerEmail": "android-support@spotify.com",
  "score": 4.34, "ratings": 32994517, "histogram": { "1": 2193010, "2": 703640, "3": 1246120, "4": 2937350, "5": 25915000 },
  "installs": "1,000,000,000+", "minInstalls": 1000000000, "price": 0, "free": true, "offersIAP": true, "adSupported": true,
  "genre": "Music & Audio", "contentRating": "Teen", "version": "VARY", "updated": "2026-08-18T06:18:15.000Z",
  "url": "https://play.google.com/store/apps/details?id=com.spotify.music&hl=en&gl=us"
}

{
  "type": "review", "store": "app-store", "appId": "324684580", "reviewId": "14442249531",
  "userName": "Cooler spiel das beste", "score": 3, "title": "Danke für die Antwort", "text": "…",
  "date": "2026-08-18T10:25:03.000Z", "version": "9.1.74", "country": "de"
}

Use cases

• ASO & market research – keyword rankings, competitor ratings, category leaders, pricing.
• Review mining & sentiment analysis – export thousands of reviews to spot bugs, feature requests and trends; feed them to an LLM.
• Competitor monitoring – schedule daily runs and diff versions, ratings and reviews.
• Lead generation – developer contact emails and websites from Google Play listings.
• Academic datasets – app metadata at scale.

Notes

• Google Play reviews can be paged essentially without limit; the App Store exposes the most recent ~500 reviews per storefront – list several reviewsCountries to collect more.
• Store content depends on country/language – set them to match the market you research.
• Built on the well-maintained open-source libraries google-play-scraper and app-store-scraper.

Pricing

Pay per event: $0.001 per app and $0.0002 per review. Nothing else.

Ready-made report from this actor

Skip the setup: App-Market Intelligence — US Top Charts 2026 — 840 top-chart apps from both stores analysed (publisher concentration, category benchmarks, monetization, app age) as a PDF report + full CSV dataset, built with this exact actor (launch discount applied at the link).

Integrations

Schedule, run via API/SDK, export JSON/CSV/Excel, send to Google Sheets, Make, Zapier, n8n, Airtable; usable as an MCP tool by AI agents.