Google Play Reviews

What Google Play Reviews can do

• Reviews are the primary output. Every row is one full review: rating, body, author, date, app version, thumbs-up, developer reply, plus the storefront country and language.
• Two ways in. Search by app name or keyword, or paste Google Play links: app pages, search pages, developer pages, category pages or collection pages. A bare package id works too, no need to build a full URL.
• Multi-country sweep. Reviews are storefront-specific, so pass a list of country codes, or use "all" for a broad built-in set of major markets, to gather the full picture for one app.
• Sort and filter. Order by newest, most helpful, or by rating, and keep only reviews within a minimum/maximum star band.
• Optional app-metadata enrichment. Attach developer, average score, ratings count, installs, category, price and more to every review from that app.
• Built for schedules. Incremental mode returns only new and changed reviews on recurring runs, and a refused run fails loudly instead of returning an empty dataset.

Choose what to collect

These inputs let you configure Google Play Reviews - App Ratings, Replies & Countries. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "reviewId": "00000000-0000-0000-0000-000000000000",
  "appId": "com.example.app",
  "country": "us",
  "language": "en",
  "rating": 5,
  "body": "Full review text appears here.",
  "author": "Reviewer Name",
  "authorId": "100000000000000000000",
  "authorImage": "https://play-lh.googleusercontent.com/...",
  "thumbsUp": 12,
  "appVersion": "1.0.0",
  "reviewDate": "2026-01-01T00:00:00+00:00",
  "reviewTimestamp": 1767225600,
  "reviewUrl": "https://play.google.com/store/apps/details?id=com.example.app&reviewId=00000000-0000-0000-0000-000000000000",
  "developerReply": "Thanks for the feedback!",
  "developerReplyDate": "2026-01-02T00:00:00+00:00"
}

Ways to use this data

• App Store Optimization (ASO) teams: track rating trends and recurring complaint themes across storefronts to prioritize the release roadmap.
• Customer support and QA teams: catch new low-rated reviews quickly and route them into a ticketing pipeline before ratings drop further.
• Competitive analysis: compare review volume, rating trends and developer response patterns across competing apps.
• Localization and product teams: sweep multiple countries to see how the same app is received in different markets and languages.
• Data science and NLP teams: build labeled datasets of app reviews for sentiment or topic modeling.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor