App Store & Google Play Reviews Scraper — $0.10/1k · Replies avatar

App Store & Google Play Reviews Scraper — $0.10/1k · Replies

Pricing

from $0.08 / 1,000 reviews

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App Store & Google Play Reviews Scraper — $0.10/1k · Replies

App Store & Google Play Reviews Scraper — $0.10/1k · Replies

Scrape app reviews from the Apple App Store and Google Play: rating, title, text, date, app version, helpful votes and developer replies, plus app info (rating, installs, ratings count). Any country, filter by stars, newest or most relevant. $0.10 per 1,000 reviews.

Pricing

from $0.08 / 1,000 reviews

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tidydata

tidydata

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⭐ App Store & Google Play Reviews Scraper — Ratings & Replies

Scrape app reviews from the Apple App Store and Google Play in one run: star rating, title, text, date, app version, helpful votes and the developer's reply, plus an app info row with the average rating, number of ratings, installs, version, developer and genre. Any country, newest or most relevant first, and filter by stars (e.g. only 1★ and 2★ complaints).

$0.10 per 1,000 reviews. App info rows are free. No API key, no login.

  • ✅ Both stores in the same table (store: appstore / googleplay)
  • ✅ Any input: App Store links or IDs, Google Play links or package names
  • ✅ Any country (us, gb, es, de, fr, br, in…) and language (Google Play)
  • ✅ Star filter: collect only complaints, or only 5★ praise
  • ✅ Developer replies and reply dates (Google Play)
  • ✅ App info: rating, ratings count, installs, version, genre, release date, rating histogram
  • ✅ Thousands of Google Play reviews per app; the App Store's public feed gives the latest 500 per country

Who uses it

  • Product managers — bugs and feature requests straight from users, by version.
  • App marketers & ASO — compare your rating and reviews with competitors in each country.
  • Customer support — export unanswered 1★ reviews to reply.
  • Researchers & AI teams — datasets for sentiment analysis and topic modelling; summarise thousands of reviews with an LLM.

How to use it

  1. Apps: one per line, mixing stores freely:
    https://apps.apple.com/us/app/whatsapp-messenger/id310633997
    https://play.google.com/store/apps/details?id=com.duolingo
    com.spotify.music
    310633997
  2. Countries (and language for Google Play), max reviews per app, order, optional star filter.
  3. Run and export to CSV, Excel, JSON or HTML, or schedule it weekly to track new reviews.

Output example

{
"type": "review",
"store": "googleplay",
"appId": "com.duolingo",
"appName": "Duolingo: Learn Languages",
"country": "us",
"language": "en",
"reviewId": "…",
"userName": "…",
"rating": 2,
"title": null,
"text": "…",
"date": "2026-10-19T08:12:44+00:00",
"appVersion": "…",
"helpfulVotes": 3,
"developerReply": "…",
"developerReplyDate": "2026-10-19T10:03:10+00:00",
"charged": true
}

App info rows have "type": "app" with rating, ratingsCount, installs (Google Play), version, developer, genre, releaseDate, url, icon and (Google Play) the star histogram.

Analyze the results with AI

Turn reviews into decisions: Bulk ChatGPT & Claude for Datasets adds sentiment, sorts reviews into your own categories (bug, pricing, feature request…) and can translate them, one new column per answer.

Run it as an integration: in this Actor's Integrations tab add Bulk ChatGPT & Claude and set its datasets to {{resource.defaultDatasetId}}, so every run is analyzed automatically. No API key needed.

Pricing

$0.0001 per review ($0.10 per 1,000). App info rows and errors are free.

You scrapeYou pay
500 reviews of 1 app$0.125
1,000 reviews × 10 competitor apps$2.50

Higher Apify plans get an automatic discount. Set a maximum cost per run to stay in control.

FAQ

Why only 500 App Store reviews? Apple's public review feed returns the latest 500 reviews per country. Add more countries to get more.

Are Google Play reviews translated? No — you get the reviews written in the language you choose (language).

Do I need the app's ID? Paste the store link; IDs and package names are read from it.

Is it legal? The Actor reads public reviews only. Reviews can contain personal data (user names): use them for legitimate purposes such as product research and respect privacy laws.

Something doesn't work? Open an issue in the Issues tab with the app link — we answer fast.