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Google Play Store Reviews Scraper

Pricing

from $2.00 / 1,000 results

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Google Play Store Reviews Scraper

Google Play Store Reviews Scraper

Extract structured Google Play app reviews with rating, text, author, date, developer reply, and app metadata.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

Joseph McRell

Joseph McRell

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

14 hours ago

Last modified

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Google Play Reviews Scraper - App Feedback Export

Extract public Google Play reviews for one Android app or a batch of apps. Export review text, star ratings, timestamps, helpful votes, app versions, and developer replies as flat JSON or CSV-ready records. No Google API key is required.

What data can I extract?

  • App package ID and unique review ID
  • Reviewer display name and public image URL
  • Full review text and one-to-five star score
  • Helpful-vote count and review timestamp
  • Review/app version fields
  • Developer reply and reply timestamp
  • Language and country context used for extraction

Input example

{
"app_ids": [
"com.spotify.music",
"com.google.android.youtube"
],
"max_items": 50,
"sort": "newest",
"language": "en",
"country": "us"
}

max_items applies per app. You can also use app_id for a single package ID or full Google Play URL and filter to a score from 1 through 5.

Output example

{
"app_id": "com.spotify.music",
"review_id": "gp:AOqp...",
"user_name": "Alex",
"user_image": "https://play-lh.googleusercontent.com/...",
"text": "Useful app and easy to navigate.",
"score": 5,
"thumbs_up": 42,
"review_version": "8.9.10",
"app_version": "8.9.12",
"reviewed_at": "2026-09-09T14:30:00",
"developer_reply": "Thanks for your feedback.",
"developer_replied_at": "2026-09-10T08:15:00",
"language": "en",
"country": "us"
}

Common use cases

  • Monitor product sentiment and newly reported defects
  • Compare reviews across competing Android apps
  • Collect low-star feedback for support or product teams
  • Analyze developer-response coverage and response time
  • Give AI agents bounded app-feedback datasets for summarization

Use with AI agents and MCP

Example agent intent:

Collect the 100 newest one-star reviews for Spotify in the US English store, including review text, version, timestamp, and developer reply.

{
"app_id": "com.spotify.music",
"max_items": 100,
"sort": "newest",
"score": 1,
"language": "en",
"country": "us"
}

Pricing and cost control

The suggested launch price is $0.002 per result. Output charges are approximately $0.20 for 100 reviews or $2.00 for 1,000, plus any platform charges displayed by Apify. For batches, multiply max_items by the number of apps to calculate the maximum possible output. The live Store pricing is authoritative.

Reliability

The Actor uses a stable endpoint client with retries, continuation-token pagination, review-ID deduplication, per-app failure isolation, and a hard failure when every requested app fails. This is endpoint-contract monitoring rather than DOM selector healing.

Limitations and responsible use

  • Public Google Play reviews only.
  • Availability can differ by language and country.
  • Deleted, moderated, or region-restricted reviews cannot be returned.
  • Upstream fields may be absent for some reviews.
  • Use public review data in accordance with applicable law and platform terms.

FAQ

Can I scrape reviews for several apps in one run?

Yes. Supply up to 25 package IDs or Play Store URLs in app_ids.

Can I filter Google Play reviews by star rating?

Yes. Set score from 1 to 5.

Can I export reviews to CSV or Excel?

Yes. Download either format from the Actor's default dataset.

See CHANGELOG.md for maintained schema changes.