Google Play Reviews Scraper — App Data & Ratings, No Personal Data

Scrape Google Play Store reviews, ratings, and full app metadata from any Android app. This Google Play scraper extracts review text, star scores, dates, app versions, and developer replies, plus complete app store listing data: installs, price, category, release date, and rating histogram.

Author names and profile images are never collected. Every review is returned with an irreversible pseudonymous hash instead of a display name, so you get the analysis you need without holding personal data. See Privacy and GDPR below.

Pricing

Currently free — you only pay Apify platform usage for the compute a run consumes. No per-result fee on top.

What this Google Play scraper extracts

App data — title, developer, description, summary, price, currency, in-app purchase range, install count, exact install number, average score, rating count, rating histogram, content rating, genre and category, app version, release date, last update date, screenshots, icon, privacy policy URL, ads and IAP flags.

Review data — review text, star rating (1–5), review date, app version the review was written on, helpful votes, developer reply text and reply date, pseudonymous author hash with duplicate-name indicators.

Why choose this Android app scraper

• No personal data. No user names, no avatars, no profile links, no developer email or postal address. Nothing in the output identifies a person.
• Reliable dates. Google Play returns release dates in the language you request: Sep 6, 2013, 06.09.2013, 6 сент. 2013 г. This scraper normalises every date to ISO 8601 so the column is always sortable, and keeps the original string in releasedText. Most scrapers hand you a mixed-format column you only discover is broken halfway through the analysis.
• Handles messy input. Paste a full Google Play URL, a market:// link, or a bare package name. Duplicate entries are removed automatically, so you never pay twice for the same app.
• Retries built in. Four attempts with exponential backoff on every request. One unavailable app never kills the whole run — you get the rest of your data plus a clear warning in the log.
• Incremental scraping. Set reviewsSince to a date and the scraper stops paging as soon as it reaches older reviews. Ideal for daily review monitoring without re-reading the same rows every day.
• Fast. 5,000 reviews in under 30 seconds in testing. Ten apps in parallel with no rate limiting.

Use cases

App Store Optimization (ASO) — track rating trends, install growth, and metadata changes for your app and competitor apps.

Review analysis and sentiment analysis — export review text to your own pipeline, LLM, or spreadsheet to find recurring complaints, feature requests, and bug reports.

Competitor research — monitor competitor app updates, pricing changes, and how users react to each new version.

Release monitoring — filter reviews by appVersion to see exactly how sentiment changed after a release.

Support benchmarking — developer replies carry their own timestamp, so you can measure how fast a team answers negative reviews, yours or a competitor's.

Fake review detection — authorHashCount and authorHashApps reveal display names appearing across multiple apps, without exposing who wrote what.

Market research — use searchQuery to pull an entire app category and compare install counts, prices, and ratings across the market.

Input

Give the scraper app IDs, a search query, or both.

{
  "appIds": [
    "com.whatsapp",
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "searchQuery": "habit tracker",
  "maxAppsFromSearch": 10,
  "scrapeAppDetails": true,
  "scrapeReviews": true,
  "maxReviewsPerApp": 500,
  "reviewsSort": "newest",
  "filterByScore": 1,
  "reviewsSince": "2026-01-01",
  "language": "en",
  "country": "us"
}

Field	Description
appIds	Package names or Google Play URLs. Duplicates removed automatically.
searchQuery	Search the Play Store instead of listing IDs.
maxAppsFromSearch	How many search results to scrape.
scrapeAppDetails	Return the app listing data.
scrapeReviews	Return reviews. Set maxReviewsPerApp to 0 to skip.
maxReviewsPerApp	Reviews per app, up to 20,000.
reviewsSort	newest, rating, or helpfulness.
filterByScore	Only reviews with this star rating (1–5).
reviewsSince	YYYY-MM-DD. Stops early once older reviews are reached.
language / country	Two-letter codes. Prices and reviews are country specific.
includeDescription	Turn off for a lighter dataset without description and screenshots.
annotateAuthorCollisions	Adds duplicate-name indicators to reviews.
maxConcurrency	Apps scraped in parallel, 1–10.

Output

Results go to a single dataset. App rows have "type": "app", review rows have "type": "review", so you can filter or split them after export to JSON, CSV, Excel, or Google Sheets.

App record, shortened:

{
  "type": "app",
  "appId": "com.whatsapp",
  "title": "WhatsApp Messenger",
  "developer": "WhatsApp LLC",
  "installs": "10,000,000,000+",
  "realInstalls": 12279811078,
  "score": 4.6172466,
  "ratings": 242764611,
  "histogram": [10822617, 3393738, 8824605, 21797901, 197925672],
  "free": true,
  "price": 0,
  "genre": "Communication",
  "released": "2010-10-18T00:00:00+00:00",
  "releasedText": "Oct 18, 2010",
  "updated": "2026-09-02T23:17:08+00:00",
  "version": "Varies with device",
  "scrapedAt": "2026-09-05T00:53:24+00:00"
}

Review record:

{
  "type": "review",
  "appId": "com.spotify.music",
  "reviewId": "b0b0106e-f2e4-49ac-9d4d-91abcd378b31",
  "content": "current frustration with spotify is that often when I like a song it doesn't stick, it looks like it added to liked songs but it really didn't.",
  "score": 2,
  "thumbsUpCount": 44,
  "appVersion": "9.1.78.2218",
  "at": "2026-09-02T04:02:06+00:00",
  "replyContent": "Hi, thanks for your feedback. When you Like or Save an album, we add it to Your Library for fast access but we don't automatically add all songs to your Liked songs.",
  "repliedAt": "2026-09-02T17:48:19+00:00",
  "authorHash": "667312a54c6ae870",
  "authorHashCount": 1,
  "authorHashApps": 1,
  "scrapedAt": "2026-09-05T01:13:49+00:00"
}

Privacy and GDPR

Google Play review author names are personal data under the GDPR. This scraper does not return them.

Instead, each review carries authorHash — a salted SHA-256 hash of the display name, truncated to 16 characters. The same display name always produces the same hash, so you can still group reviews by author, but the name cannot be recovered from the hash.

Google Play does not expose a public user ID, so the hash is derived from the display name. Two fields tell you how much to trust it:

• authorHashCount — how many reviews in this run share the hash. A large number means a very common name that should not be treated as one person.
• authorHashApps — how many different apps the hash appeared in.

One Google account can leave only one review per app. A repeated hash within a single app therefore always means different people with the same display name. A repeat across different apps may be the same reviewer, and is worth a closer look.

Developer email and postal address are excluded from app records for the same reason.

Integrations

Run this Google Play scraper from the Apify API, schedule it to monitor app reviews daily, or connect it to Make, Zapier, Google Sheets, Slack, or an MCP client. Results export as JSON, CSV, Excel, XML, or RSS.

FAQ

How many reviews can I scrape from a Google Play app? Up to 20,000 per app per run. Google Play limits how far back its review feed goes, so very old reviews may not be reachable for any scraper.

Can I scrape reviews for a specific country or language? Yes. Set country and language. Reviews, prices, and availability differ by country, and the same app may not exist in every store.

Can I scrape only negative reviews? Set filterByScore to 1 or 2 to collect only low-rated reviews.

How do I monitor new reviews daily? Schedule the actor and set reviewsSince to yesterday's date with reviewsSort set to newest. The run stops as soon as it reaches older reviews.

Does it work with Apple App Store apps? No. This actor covers Google Play and Android apps only.

Why is the author name missing? By design — see Privacy and GDPR. Use authorHash to group reviews by author without storing personal data.

Is scraping Google Play legal? This actor collects publicly visible listing and review content and does not access private data or bypass authentication. You remain responsible for how you use the data under the laws that apply to you. This is not legal advice.