Google Play Reviews Scraper
Pricing
from $3.00 / 1,000 reviews
Google Play Reviews Scraper
Scrape Google Play reviews for any Android app by package name or Play Store URL, in any country and language. Get rating, text, date, thumbs up, app version and developer reply as clean JSON, CSV or Excel. Thousands of reviews per app, no login, no personal data.
Pricing
from $3.00 / 1,000 reviews
Rating
0.0
(0)
Developer
Workmatic
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
19 hours ago
Last modified
Categories
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Scrape Google Play reviews for any Android app. Paste a Play Store URL or package name and get every review as clean JSON, CSV or Excel: star rating, text, date, thumbs up, app version and the developer's reply. Choose country and language, filter by star rating, and pull thousands of reviews per app. No login, no browser, no personal data.
What you get
| Field | Example |
|---|---|
rating | 1 |
text | Worst update, so many ads now |
date | 2026-09-13T21:37:10.000Z |
thumbsUp | 48 |
appVersion | 9.1.78.2218 |
replyText, replyDate | developer response, when present |
appId, country, language, sort, reviewId, reviewUrl, scrapedAt | for filtering, deduplication and audit |
Reviewer names and avatars are deliberately not collected, so the output contains no personal data and can be stored and shared freely.
Input
{"apps": ["com.spotify.music", "https://play.google.com/store/apps/details?id=com.whatsapp"],"country": "us","language": "en","sort": "newest","scoreFilter": 0,"maxReviewsPerApp": 2000}
- apps – Play Store URLs or package names, mixed is fine.
- country / language – the storefront (
gl) and UI language (hl). Run several countries as separate runs or tasks. - sort –
newest,mostRelevantorrating. - scoreFilter –
0for all, or1to5to fetch only reviews with that star rating (great for "show me every 1-star review"). - maxReviewsPerApp – hard stop per app. Google paginates without a fixed cap.
Pricing
Pay per review: $3 per 1,000 reviews. You pay only for reviews saved to the dataset. Platform usage is tiny because the actor uses plain HTTP requests and about 256 MB of memory.
Use cases
- Competitor research – what users love and hate before you build.
- Release monitoring – schedule a daily
newestrun and alert on new 1-star reviews mentioning a crash. - Sentiment and topic analysis – feed
textto an LLM or classifier;appVersionlets you compare releases. - Reply audit – find unanswered negative reviews via
replyText. - AI agents – works over MCP; ask your agent for "the last 500 one-star Google Play reviews of app X in Germany".
Reliability
The actor calls the same JSON endpoint the Play Store website uses. Each request is retried with exponential backoff and a fresh proxy IP, pages are de-duplicated by review ID, and results are saved page by page so partial runs still return data.
Integrations
Export to JSON, CSV, Excel or XML, push to Google Sheets, Slack, Zapier, Make or a webhook from the Integrations tab, or call the actor from the Apify API and SDKs (Node.js, Python).
Legal
Only publicly visible review content is collected and no reviewer identities are stored. You are responsible for how you use the data.
Support
Open an issue on the actor's Issues tab. Bugs are usually fixed within a day.