Google Play Reviews Scraper

Extract public Google Play reviews for Android apps, including ratings, review text, dates, app versions, helpful votes, developer replies, and app metadata.

The actor is built for ASO teams, product managers, growth teams, agencies, and developers who need structured review data without manually copying Google Play pages.

What does Google Play Reviews Scraper do?

Google Play Reviews Scraper collects public review rows from Google Play app pages.

It accepts app package IDs or Play Store URLs.

It returns one dataset item per review.

Each item includes review content, reviewer name, rating, date, app version, helpful votes, developer reply fields, locale, and app metadata.

Who is it for?

Product managers can monitor user feedback after releases.

ASO specialists can analyze keywords and sentiment in reviews.

Mobile agencies can benchmark competitors across markets.

Support teams can identify recurring bugs reported by users.

Founders can export review evidence for product decisions.

Data teams can feed app-review data into BI, warehouses, and dashboards.

Why use this actor?

Manual Google Play review exports are slow.

The Google Play console only covers apps you own.

This actor works with public apps, competitor apps, and market research targets.

You can run it on a schedule and export the dataset to JSON, CSV, Excel, or API clients.

What data can it extract?

Field	Description
appId	Google Play package name
appUrl	Google Play app URL
appTitle	App title
developer	Developer name
reviewId	Review identifier
reviewUrl	Direct review URL when available
userName	Public reviewer name
userImage	Public reviewer avatar URL
rating	Star rating from 1 to 5
ratingText	Rating as text
reviewTitle	Review title when available
reviewText	Full review text
reviewDate	Review date in ISO format
appVersion	App version named on the review
thumbsUp	Helpful vote count
developerReplyText	Developer reply text
developerReplyDate	Developer reply date
language	Google Play language used
country	Google Play country used
sort	Sort mode used
scrapeTimestamp	Time the actor saved the review

Pricing

The launch price starts at about $0.10 per 1,000 saved reviews on the BRONZE tier, plus a small run-start event.

Higher-volume tiers receive lower per-review prices.

You only pay for reviews saved to the dataset.

Small tests with low maxReviews are recommended before large monitoring jobs.

How much does it cost to scrape Google Play reviews?

Use a small maxReviews value for a first run.

The actor charges a start event and a per-review event only for saved reviews.

How to use Google Play Reviews Scraper

1. Open the actor on Apify.

2. Add one or more app IDs such as com.instagram.android.

3. Or paste Google Play URLs such as https://play.google.com/store/apps/details?id=com.google.android.apps.maps.

4. Choose a country and language.

5. Choose a sort mode.

6. Set maxReviews.

7. Run the actor.

8. Download results from the dataset.

Input options

appIds

Use appIds when you know Android package names.

Example:

["com.instagram.android", "com.google.android.apps.maps"]

startUrls

Use startUrls when you have Play Store links.

The actor extracts the id= query parameter automatically.

language

Use a two-letter Google Play language code.

The default is en.

Different languages may expose different review pools.

country

Use a two-letter country code.

The default is US.

Country can affect app availability and visible reviews.

sort

Choose newest, rating, or helpfulness.

newest is best for monitoring.

helpfulness is best for common user complaints.

rating is useful for star-focused analysis.

maxReviews

This limits saved reviews across all supplied apps.

Use a small number for test runs.

Use larger numbers for production exports.

rating filters

minRating and maxRating let you collect only low-star or high-star reviews.

For example, set both to 1 to inspect one-star feedback.

date filters

sinceDate and untilDate accept ISO-style dates such as 2026-05-01.

The actor skips reviews outside the selected range.

Example input

{
  "appIds": ["com.instagram.android"],
  "language": "en",
  "country": "US",
  "sort": "newest",
  "maxReviews": 100,
  "minRating": 1,
  "maxRating": 5,
  "includeAppDetails": true
}

Example output

{
  "appId": "com.instagram.android",
  "appUrl": "https://play.google.com/store/apps/details?id=com.instagram.android&hl=en&gl=US",
  "appTitle": "Instagram",
  "developer": "Instagram",
  "reviewId": "gp:example",
  "userName": "Public reviewer",
  "rating": 5,
  "reviewText": "Great app",
  "reviewDate": "2026-05-31T12:00:00.000Z",
  "appVersion": "123.0",
  "thumbsUp": 4,
  "developerReplyText": null,
  "developerReplyDate": null,
  "language": "en",
  "country": "US",
  "sort": "newest",
  "scrapeTimestamp": "2026-06-01T00:00:00.000Z"
}

Tips for better results

Run by locale if you need country-specific review monitoring.

Use newest for daily jobs.

Use helpfulness to collect the reviews other users found useful.

Use low maxReviews values for first tests.

Use rating filters to focus sentiment analysis.

Use multiple scheduled runs to build a time series.

Integrations

Export reviews to Google Sheets for manual triage.

Send datasets to BigQuery or Snowflake for BI.

Trigger Zapier or Make flows after a run finishes.

Use Apify webhooks to notify Slack when new one-star reviews are found.

Feed review text into sentiment analysis or topic clustering.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/google-play-reviews-scraper').call({
  appIds: ['com.instagram.android'],
  maxReviews: 50,
  country: 'US',
  language: 'en'
});
console.log(run.defaultDatasetId);

API usage with Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('automation-lab/google-play-reviews-scraper').call(run_input={
    'appIds': ['com.instagram.android'],
    'maxReviews': 50,
    'country': 'US',
    'language': 'en',
})
print(run['defaultDatasetId'])

API usage with cURL

curl -X POST 'https://api.apify.com/v2/acts/automation-lab~google-play-reviews-scraper/runs?token=MY-APIFY-TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"appIds":["com.instagram.android"],"maxReviews":50,"country":"US","language":"en"}'

MCP usage

Use the Apify MCP server with Claude Desktop, Claude Code, Cursor, or other MCP-compatible clients.

MCP URL:

https://mcp.apify.com/?tools=automation-lab/google-play-reviews-scraper

Claude Code setup:

$claude mcp add apify-google-play-reviews https://mcp.apify.com/?tools=automation-lab/google-play-reviews-scraper

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-google-play-reviews": {
      "url": "https://mcp.apify.com/?tools=automation-lab/google-play-reviews-scraper"
    }
  }
}

Example prompts:

• "Run Google Play Reviews Scraper for com.instagram.android and summarize one-star complaints."

• "Collect the newest 100 reviews for this app in the US locale."

• "Compare helpful reviews for two competing Android apps."

Scheduling

Schedule the actor daily to monitor fresh reviews.

Use newest sort for monitoring jobs.

Set sinceDate in downstream logic or compare review IDs between runs.

Data quality notes

Google Play exposes different review pools by language and country.

The visible count on Google Play includes ratings without written review text.

Some reviews do not include app version.

Some reviews do not have developer replies.

Reviewer names are public display names.

FAQ

Can I scrape competitor app reviews?

Yes. The actor works with public Google Play app pages that are visible without logging in.

Why do I see fewer reviews than the total rating count?

Google Play rating totals include star ratings without written public review text.

Troubleshooting

If you get few reviews, try a different language or country.

If a package ID fails, confirm the app is visible in the selected country.

If date filters return no items, widen the date range or use newest sort.

If app metadata is unavailable, set includeAppDetails to false and retry.

Legality

This actor extracts public Google Play information.

Use the data responsibly.

Do not collect private data.

Respect applicable laws, platform terms, and privacy requirements.

Related scrapers

Explore other automation-lab actors for app, review, and market research workflows.

Related categories include review monitoring, app store optimization, social listening, and competitor intelligence.

Limitations

The actor does not log in to Google Play.

It does not access private Google Play Console data.

It can only return reviews Google Play makes publicly visible for the selected locale.

Large exports may need multiple runs by language or country.

Changelog

Initial version extracts public Google Play reviews through an HTTP-first workflow.

Support

Open an Apify issue if a public app URL stops working or a field becomes unavailable.

Include the app ID, input, and run ID so the problem can be reproduced.