Which filters does the Actor support?

It supports star ratings, keywords, recent days or an end date, plus top or recent sorting.

How much do 1,000 reviews cost?

Public rates checked July 24, 2026 range from $0.15 on Free to $0.10 on Gold or higher per 1,000 reviews.

Can it help find app bugs?

Filtering one- and two-star reviews for terms such as crash, login or update can surface recurring complaints, but findings still require contextual review.

Scrape Google Play reviews by rating, keyword and date

Turn public Android app reviews into a structured dataset for bug discovery, feature research and post-release sentiment tracking.

Open the Actor View the input

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Direct answer

How do you download and analyze Google Play reviews?

Open Google Play Store Reviews Scraper, enter the app ID or URL, choose ratings, dates and keywords, then set maxReviews. Inspect a sample in the Dataset and export it as CSV, Excel or JSON.

For recent bug research, combine one- and two-star ratings, recentDays: 30 and specific terms such as crash or update.

Actor: neatrat/google-play-store-reviews-scraper
Input: Google Play app ID or URL
Output: Review, rating, author, date and helpful votes
Checked: July 24, 2026

Actor used

Google Play Store Reviews Scraper

Built by neatrat. Its practical advantage is filtering before export, so research starts with a focused dataset instead of a large irrelevant dump.

Check the official listing

4.9 / 59 reviews

1.9Ktotal users

246monthly users

18bookmarks

Public listing signals observed July 24, 2026; they can change.

Copy-ready setup

Find recent low-rating bug reports

{
  "appIdOrUrl": "com.supercell.brawlstars",
  "ratings": [1, 2],
  "keywords": ["crash", "update"],
  "recentDays": 30,
  "maxReviews": 200,
  "sortBy": "recent",
  "uniqueOnly": true
}

01
Identify the app
Copy its package ID or full Google Play URL.
02
State a research question
Choose ratings, a period and terms tied to the problem you need to measure.
03
Validate 200 reviews
Check language, dates, duplicates and relevance before increasing volume.
04
Group the findings
Classify themes and retain a review ID so each observation remains auditable.

Useful fields

What the output can measure

Field	Use	Quality check
`rating`	Compare satisfaction	Segment by version or period
`body`	Detect topics and wording	Review false positives
`date`	Measure post-release change	Normalize time zones
`helpfulCounts`	Prioritize shared complaints	Do not equate votes with severity
`reviewId`	Remove duplicates	Keep it as the stable key

Cost

Estimate review extraction cost

This estimates Actor charges; platform plan and usage are billed according to your account.

Free estimate$0.06

Main event rate, excluding plan credits.

Tier	Per 1,000 reviews
Free	$0.15
Bronze	$0.13
Silver	$0.11
Gold or higher	$0.10

The current listing limits Free users to five total runs and 500 total reviews. Quota is consumed when a run starts, including runs that return no results.

Added value

Decisions this Actor improves

Bug discovery

Prioritize recurring failures by date, rating and vocabulary.

Competitors

Compare equivalent samples from apps in the same category.

Releases

Measure conversation shifts after a new version.

FAQ

Before you scale

Does it scrape the entire store?

No. It works from an app ID or URL and the limits and filters you configure.

Does a negative review prove a bug exists?

No. Treat it as a research signal and verify grouped cases against support or telemetry.

Can I republish personal data?

Minimize data, retain only what is necessary and follow applicable rules and source terms.

First run

Start with one question and 200 reviews

A focused sample validates relevance and cost before you scale.

Try the Actor