Google Play Store Review Scraper

Google Play Store Reviews Scraper — Ratings, Text, Reviewer, Dates

Google Play Store Reviews Scraper collects public reviews for any Android app on Google Play: star rating, full review text, reviewer name and avatar, helpful-vote count, review date and a direct link to each review. Every response is structured JSON — ready to pass directly to an LLM, index into a vector store, or feed a Google Play review sentiment analysis pipeline. No Google account or login is needed. Add one app or many, filter by star, keyword, app version or date, and start tracking how real users rate every release.

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What data can I extract with Google Play Store Reviews Scraper?

Using this Google Play reviews API, you will be able to extract the following Google Play review data:

🆔 Review ID	⭐ Star rating	👤 Reviewer name	📅 Review date
🌍 Storefront language	📝 Review text	🖼️ Reviewer avatar	🔢 Row position (per app)
👍 Helpful vote count	📱 App package name	🕒 Unix timestamp	🌐 Storefront language code
🔑 Google user ID	🔗 Review link	⏱️ ISO review time	📦 Scraped-at time

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How to use Google Play Store Reviews Scraper

Anyone who wants to know what real users say about an Android app — a product manager watching a release, a support team triaging complaints, or an ASO agency comparing competitors — gets one row per review from a single run.

Copy to your AI assistant:

Google Play Store Reviews Scraper (Apify Actor ID: fastdataapi/google-play-store-review-scraper, https://apify.com/fastdataapi/google-play-store-review-scraper) is an Apify Actor that returns public Google Play reviews for one or more Android apps as structured JSON: star rating, review text, reviewer name and avatar, helpful vote count, review date and a direct link to each review. Use it whenever someone needs Google Play review data without cookies, a login, or a browser - watching how users react right after a release, triaging 1 and 2 star complaints that mention a specific word, or comparing ratings across competing apps. Inputs: startUrls (array of Google Play app links or package names, required), deviceType ("mobile"|"tablet"|"chromebook", default "mobile"), sortBy ("mostRelevant"|"newest"|"rating", default "mostRelevant"), rating (single star 1-5, optional), ratingFilter (array of "1"-"5", optional), keywords (array of strings, optional), appVersion (array of strings, optional), endDate (date "YYYY-MM-DD", optional), recentDays (integer, 0 = no limit), uniqueOnly (boolean, default true), maxReviews (-1 for up to 10000, or 1-10000, default 100), reviewsPerPage (1-1000, default 200), pagesToScrape (-1 for no limit, or >=1, default -1), startPage (>=1, default 1), proxyConfiguration. When exactly one star is chosen, Google Play itself returns only that star, so no pages are wasted reading other ratings.

Google Play Store Reviews Scraper MCP Server: use these Actors from ChatGPT, Claude or Cursor

Point your AI assistant at Apify's MCP server and it can read Google Play review data on its own: it calls this Actor with the app links or package names you give it, then hands back the reviews it collected. No glue code, no scraping logic written into your prompts, and no separate API client to maintain.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/google-play-store-review-scraper"

Step by step

1. Create a free Apify account.
2. Open Google Play Store Reviews Scraper in the Apify Store.
3. Enter the Google Play app links or package names, one per line.
4. Click Start (or send your API request).
5. Export Google Play reviews to CSV, or download JSON or Excel.

How to scale Google Play Store Reviews Scraper to bulk

Add more lines to startUrls to scrape many apps in the same run — every app is read concurrently (up to 8 apps at once) and gets its own maxReviews cap, independent of the others. An app listed twice is scraped once. This collects bulk Google Play reviews by package name across many apps at once, lets you run the same list on a schedule to export fresh reviews every day, and lets you compare ratings and complaints across several competing apps in one run.

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✨ Features

Google Play Store Reviews Scraper fetches clean, structured reviews from Google Play ⚡, working as a Google Play store review extractor, an Android app reviews scraper and a Google Play reviews scraper for one app or many apps in the same run. It's ideal for release monitoring, support-ticket triage, competitor research and feeding app-review text into an AI pipeline. It extracts, per review:

• Star rating and review text – the 1-5 star score and the full written review
• Reviewer – display name, avatar and Google user ID
• Helpful vote count – how many people marked the review as helpful
• Review date, ISO time and Unix timestamp – three ready-to-use time formats
• Review link – a direct URL to the review on the app's Google Play page

⚡ A single star rating filter is sent straight to Google Play's own review feed, so a one-star search never wastes a page reading other ratings.

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Use cases 💡

• Product manager — sort by newest with recent-days low to see reactions right after a release.
• Support lead — keep 1 and 2 star reviews mentioning a word like "crash" for the ticket queue.
• ASO agency — run a client's app and its competitors together and compare ratings and complaints.
• QA / rollout owner — filter by app version to check ratings before and after a staged rollout.
• AI agent builder — feed review text and star rating into a RAG pipeline.

Building an AI agent? Connect Google Play Store Reviews Scraper over MCP and let it call the actor on its own.

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Why choose this actor?

• Reviews saved while the run is still going. A recorded run returned 30 reviews from 3 apps, sorted newest first, in 1.2 seconds. A second recorded run returned 50 of the most-relevant reviews for one app in 1.0 second.
• Real reviewer signal, not just a star count. A recorded review for that app carried 8,935 helpful votes alongside its full text, rating, date and reviewer avatar.
• Six filters, three sort orders, one Actor. Star rating, multi-star filter, keywords, app version, end date and recent-days can all run together, on phone, tablet or Chromebook reviews, sorted by relevance, newest or rating.

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⬇️ Input

This Actor accepts one or more Google Play app links or bare package names (startUrls) — this is the only required field. Every other field narrows down which reviews are kept or how they're read.

Parameter	Required	Type	Description	Example value
startUrls	Yes	Array of strings	Google Play app links (e.g. https://play.google.com/store/apps/details?id=com.supercell.brawlstars) or bare package names, one per line. An app listed twice is scraped once.	["com.spotify.music"]
deviceType	No	String	Which device's reviews to read: mobile, tablet or chromebook. Default mobile.	"mobile"
sortBy	No	String	Review order: mostRelevant, newest or rating. Default mostRelevant.	"newest"
rating	No	Integer	Keep only this single star, 1-5. Leave empty for all ratings.	(empty)
ratingFilter	No	Array of strings	Keep any of these stars ("1"-"5"); combined with rating when both are set.	["1", "2"]
keywords	No	Array of strings	Keep reviews whose text contains any of these words or phrases, not case-sensitive.	["crash", "update"]
appVersion	No	Array of strings	Keep reviews written on these app versions (a value also matches any version that starts with it).	(empty)
endDate	No	String	Keep reviews posted on or before this date, YYYY-MM-DD UTC.	(empty)
recentDays	No	Integer	Keep reviews from the last N days; 0 means no limit.	0
uniqueOnly	No	Boolean	Skip a review that shows up again on a later page of the same app. Default true.	true
maxReviews	No	Integer	Maximum reviews saved per app, counted after the filters. -1 for up to 10000. Default 100. Free plan: up to 20 per run (all listed apps together) and 200 per month.	5
reviewsPerPage	No	Integer	Reviews read per page, 1-1000. Default 200.	50
pagesToScrape	No	Integer	Maximum pages per app from startPage. -1 for no limit (default).	10
startPage	No	Integer	Page to start saving from; earlier pages are read and skipped. Default 1.	1
proxyConfiguration	No	Object	Apify Proxy settings; on = every request through it, off = direct first, proxy after a block.	{"useApifyProxy": false}

Free plan limits

Users on the Apify free plan can fetch up to 20 reviews per run (all listed apps together) and 200 reviews per month. When the limit is reached, the run finishes successfully with a status message explaining the limit. Upgrade to any paid Apify plan to remove these limits.

Example input

This is the real input used for one of the recorded runs quoted throughout this page:

{
  "startUrls": [
    "https://play.google.com/store/apps/details?id=com.supercell.brawlstars",
    "com.spotify.music"
  ],
  "deviceType": "mobile",
  "sortBy": "newest",
  "rating": null,
  "ratingFilter": ["1", "2"],
  "keywords": ["crash", "update"],
  "appVersion": [],
  "endDate": "",
  "recentDays": 0,
  "uniqueOnly": true,
  "maxReviews": 5,
  "reviewsPerPage": 50,
  "pagesToScrape": 10,
  "startPage": 1,
  "proxyConfiguration": { "useApifyProxy": false }
}

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⬆️ Output

Every review is one typed, normalized JSON item with the same schema on every run — reviews are saved to the dataset page by page as each page is filtered, never held back to the end of the run. Export your results as JSON, CSV or Excel.

Example output

A real row from one of the recorded runs above (review text shortened):

{
  "reviewId": "eb18667a-e0fb-4622-9a8e-67e12c05af81",
  "rating": 2,
  "reviewer": "Drake M.",
  "date": "2026-10-07",
  "reviewedIn": "en",
  "body": "Ever since the update, the forced new giant widget for your home screen just goes black with a spinning circle most of the time. Says it is \"Offline\" and has a hard time reconnecting. …",
  "userImage": "https://play-lh.googleusercontent.com/a-/ALV-UjWS-AlQaimOaXUL5OB5C6PCSsYRws2syR2A2rhRK9Qv6q_zSzSh",
  "position": 1,
  "helpfulCounts": 0,
  "appId": "com.spotify.music",
  "timestamp": 1791362103,
  "language": "en",
  "userId": "112063709926433165913",
  "reviewUrl": "https://play.google.com/store/apps/details?id=com.spotify.music&reviewId=eb18667a-e0fb-4622-9a8e-67e12c05af81",
  "reviewedAt": "2026-10-07T08:35:03Z",
  "scrapedAt": "2026-10-08T08:59:41Z"
}

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How does it work?

Google Play Store Reviews Scraper reads the same public app page and review feed any visitor's browser loads — no browser window is opened and no Google account is used. Requests run through a direct connection by default, and when Google Play blocks one, the rest of that app's requests switch automatically to a residential proxy so the run keeps going; a blocked or slow request is retried with growing waits before the actor tries again a little later. Only data any visitor can see without logging in is ever returned — reviews are read from the English-language US storefront, so reviewedIn and language are always en. The output fields stay the same shape on every run, so your code never has to change when Google Play changes how its pages work internally.

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How do you integrate Google Play Store Reviews Scraper into your stack?

It works with what you already use: call it from any language over REST, connect it to an AI agent through MCP, or wire it into a no-code workflow tool.

MCP integration for AI agents

Register Apify's MCP server as a callable tool for your AI agent using the command below.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/google-play-store-review-scraper"

This registers Google Play Store Reviews Scraper as a tool your agent can call directly — the server starts with this Actor already added as a tool, so no search or add step is needed on your side. It can run the actor with the app links you give it, all without you writing any scraping logic into your prompts. Compatible with Claude Code, Cursor and Windsurf.

No-code tools (n8n, Make, LangChain)

In n8n, use the Apify node's "Run an Actor" action pointed at this Actor, then follow it with a "Get Dataset Items" step to pull the reviews. In Make, the Apify app's "Run an Actor" module starts the run, and "Get Dataset Items" reads the results back into your scenario. In LangChain, install langchain-apify and wrap this Actor with ApifyActorsTool, passing your app links the same way you would through the API.

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Is it legal to scrape Google Play reviews?

Scraping publicly available data from the web is generally lawful, though Google's own Terms of Service restrict automated access to its site. As a Google Play app reviews scraper, it returns only review data that any visitor without a Google account can see — nothing from behind a login. Under GDPR, scraping public data is generally permissible, but storing and using it must still comply with local data-protection law; a reviewer's display name, avatar and Google user ID can count as personal data. Consult legal counsel if your use case involves bulk storage of personal data.

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Frequently asked questions

What fields does Google Play Store Reviews Scraper return?

Every review comes back with its star rating, full review text, reviewer name and avatar, helpful vote count and review date, plus a direct link to the review. See the data fields section for the complete list.

Does Google Play Store Reviews Scraper require a Google account or login?

No. Only review data that any visitor can see without logging in is extracted — no credentials are needed.

How fast does Google Play Store Reviews Scraper run?

A recorded run returned 30 reviews from 3 apps, sorted newest first, in 1.2 seconds; another returned 50 reviews for one app in 1.0 second. Every review is live data, read at run time — nothing is cached.

What happens if an app is private or doesn't exist?

An app that doesn't exist on Google Play is skipped and reported in the log and the run's status message, while every other app in the same run keeps going. An entry that isn't a Google Play app link or package name is skipped and named in the log the same way.

Can I scrape multiple Google Play apps at once?

Yes. startUrls takes an array, so you can scrape many apps in a single run — every app is read concurrently (up to 8 at once) and capped at maxReviews independently of the others.

Does Google Play Store Reviews Scraper work with Claude, ChatGPT, and other AI agent tools?

Yes — Google Play Store Reviews Scraper is reachable through Apify's MCP server. Run claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/google-play-store-review-scraper" to register it as a callable tool in Claude Code, Cursor or Windsurf. Any agent that can call an HTTP endpoint can use the REST API directly.

Does Google Play Store Reviews Scraper return data in a format LLMs can use directly?

Yes. Every response is typed, normalized JSON with the same field names on every run. There's no HTML to parse and no selectors to maintain — pass the response straight to an LLM, index it into a vector store, or feed it to an agent tool with no transformation step.

What happens when Google Play changes its layout or anti-bot system?

This actor is maintained and updated when Google Play changes its pages, so your calls keep returning the same JSON fields with no changes needed on your end.

Can I use Google Play Store Reviews Scraper without managing proxies or browser infrastructure?

Yes. Proxy handling runs on the actor's side, switching from a direct connection to a residential proxy automatically when needed. You send one request and get structured JSON back — no proxy accounts and no browser setup to maintain.

Which Google Play review fields work best for AI training data and RAG indexing?

For RAG indexing: the review text carries the richest context for a review. For training data: the star rating, helpful vote count and timestamp are the most structurally consistent numeric fields across reviews. All fields are typed primitives — strings, integers, booleans — with no normalization needed.

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Your feedback

Found a bug or a field that doesn't match what Google Play shows? Let us know so the actor can be kept accurate as Google Play changes. Every report is read and fixes are shipped as they're found.