Google Play Reviews Scraper

Google Play Reviews Scraper extracts app reviews from the Google Play Store by package name or app URL. One row = one review: star rating, review text, date, app version, helpful votes, the developer's reply with its date, and the reviewer's public name. You pay $0.15 per 1,000 reviews stored (down to $0.105 on higher Apify plans) — reviews skipped by your date, star or keyword filters are free.

Built for review monitoring: set Only new since the last run, schedule it daily, and each run returns only the reviews posted since the previous one. App rating, total ratings and the 1–5 star distribution are saved once per app in a separate summary, so your review table stays clean.

What data does Google Play Reviews Scraper extract?

Field	Example	Notes
targetId	com.whatsapp	App package name
targetName	WhatsApp Messenger	App title
reviewId	9c3e…	Unique per app — use it to deduplicate across runs
rating	2	Stars, 1–5
text	Calls keep dropping since the update	Full review text
publishedAt	2026-11-04T08:13:22Z	Posted or last edited, ISO 8601 UTC
appVersion	2.25.23.75	App version the reviewer used
helpfulCount	14	"Helpful" votes
replyText	Hi, please update to …	Developer reply, if any
replyAt	2026-11-04T10:02:11Z	When the developer replied
authorName	Ann B	Reviewer's public display name
authorImageUrl	https://play-lh.googleusercontent.com/…	Reviewer's avatar
language, country	en, US	The review list you asked for
url	https://play.google.com/store/apps/details?id=com.whatsapp&reviewId=…	Link to the review
aspectRatings	[{"aspect": "vaf_games_graphics", "rating": 4}]	Per-aspect values Google shows for some apps and games (mostly games); null otherwise
scrapedAt	2026-11-05T01:00:00Z	When the row was collected

source (always google_play), targetUrl, title, authorId and updatedAt complete the shared Apifry reviews format: the same columns are used by our other review scrapers, so one parser handles them all. Google Play has no review titles or reviewer ids, so those three are always null here.

App summary (key-value store, record SUMMARY)

One entry per app: rating (average), ratingsCount, reviewsCount, starsDistribution ({"1": …, "5": …}), reviewsScrapedThisRun (reviews stored this run), error (why an app failed, if it did) and note (why an app returned nothing). It is free.

How much does it cost to scrape Google Play reviews?

Pay per event: $0.15 per 1,000 reviews stored in the dataset on the Free plan, $0.135 on Starter, $0.12 on Scale and $0.105 on Business. There is no start fee and no charge for:

• reviews older than your Only reviews newer than date or your last run,
• reviews that don't match your keywords,
• duplicates (the same review found in two languages or two star filters),
• apps that are not found or fail.

Reviews	Price
1,000	$0.15
10,000	$1.50
50,000 (e.g. 100 daily runs of 500)	$7.50

The Apify free plan's $5 monthly credit covers about 33,000 reviews. You can also cap any run with Maximum cost per run in the run options; the scraper stops cleanly at the cap and charges nothing beyond it.

Review analytics add-ons (optional)

Three paid add-ons turn the reviews of a run into answers. All are off by default, rule-based (dictionaries in English, German, French, Spanish, Portuguese, Italian and Russian — not AI), and priced on the Pricing tab.

• Tag every review — each review gets topics (crashes & bugs, login & account, ads, price & subscription, updates, speed & battery, interface, customer support), sentiment (positive, neutral, negative or mixed — stars plus words, negations handled), isBugReport and isFeatureRequest. Tagged reviews are charged Review with tags instead of Review; a review in another language stays untagged (topics: null) at the plain review price.
• Insights per app — key-value record INSIGHTS: complaint topics with their share of 1–2 star reviews and 2–3 quotes linking to the review, frequent words and phrases in 1–2 star reviews (stopwords and the app's own name removed), feature requests with examples, developer reply rate and median reply time. One charge per app.
• Trends per app — key-value record TRENDS: average rating, number of reviews and 1–2 star share per day, week or month, change to the previous period, a spike flag, and the same by app version. One charge per app.

What you will never pay for: an app with fewer than 30 reviews in the run, an app that failed, or a run that stopped at your maximum cost — the record is still written and says why it was free. Every record states how many reviews and which dates it is based on; the Google Play rating itself stays in the free SUMMARY. Star or keyword filters make a sample unrepresentative, so records say so and trends then show counts only. For a true trend, use Newest first and one language, or a limit large enough for every list to reach back the same distance.

How to scrape Google Play reviews

1. Open the Input tab and add apps — com.whatsapp or the full app URL from your browser.
2. Set Max reviews per app (100 for a quick look, 10,000+ for a full export). The cap applies to each language and each selected star rating separately: 2 languages × 500 = up to 1,000 reviews per app.
3. Optional: pick star ratings (1 and 2 stars for complaints), keywords, languages, or a date.
4. Click Start. Reviews appear in the Output tab within seconds.
5. Download as JSON, CSV, Excel or HTML, or read the dataset via the API.

⬇️ Input example

{
  "apps": ["com.whatsapp", "https://play.google.com/store/apps/details?id=org.telegram.messenger"],
  "maxReviewsPerApp": 500,
  "sort": "newest",
  "onlyNewerThan": "7 days",
  "stars": ["1", "2"],
  "keywords": ["crash", "battery"],
  "languages": ["en", "de"],
  "country": "us"
}

⬆️ Output example

{
  "source": "google_play",
  "targetId": "com.whatsapp",
  "targetName": "WhatsApp Messenger",
  "targetUrl": "https://play.google.com/store/apps/details?id=com.whatsapp",
  "reviewId": "9c3e2f0a-…",
  "rating": 2,
  "title": null,
  "text": "Calls keep dropping since the update.",
  "language": "en",
  "country": "US",
  "authorName": "Ann B",
  "authorId": null,
  "authorImageUrl": "https://play-lh.googleusercontent.com/…",
  "publishedAt": "2026-11-04T08:13:22Z",
  "updatedAt": null,
  "appVersion": "2.25.23.75",
  "replyText": "Hi Ann, please update to the latest version …",
  "replyAt": "2026-11-04T10:02:11Z",
  "helpfulCount": 14,
  "url": "https://play.google.com/store/apps/details?id=com.whatsapp&reviewId=9c3e2f0a-…",
  "aspectRatings": null,
  "scrapedAt": "2026-11-05T01:00:00Z"
}

Monitor new Google Play reviews every day

Turn on Only new since the last run and create a schedule (Apify Console → Schedules). The first run collects up to Max reviews per app; every next run keeps only reviews newer than the newest one the previous run saw, then stops — so a daily run on an app with 50 new reviews costs less than $0.01. The mark is stored per app, language and star filter in the key-value store apifry-reviews-state in your own account; delete that store to start over.

The mark moves only after the run's reviews are saved. If a run is interrupted (aborted, timed out, rate-limited by Google) or stops at your max charge limit, the mark is not moved and the next run picks up the gap. If Max reviews per app ends a list first, the mark moves to the newest review: each run then returns the newest N new reviews.

For a one-off window use Only reviews newer than with a date (2026-10-01) or a period (7 days, 12 hours, 2 weeks).

Use cases

• Product and app teams — read 1–2 star reviews after each release; appVersion shows which build they hit.
• Customer support — find reviews without a developer reply (replyText is null) and answer them.
• Competitor research — compare complaints and praise across competing apps, languages and countries.
• ASO and marketing — track rating trends and the star distribution over time from SUMMARY.
• Data teams and LLM apps — feed fresh reviews into sentiment analysis, topic clustering or a support agent.

Bulk export of Google Play reviews

Set Max reviews per app to 10,000 or more and add several apps; three apps are processed in parallel and each app's reviews are paged in batches of 200. Large apps hold hundreds of thousands of reviews per language. Duplicates are removed inside a run. Across runs, deduplicate on targetId + reviewId.

Integrations

Run it from the Apify API, the Python or JavaScript client, n8n, Make, Zapier, Google Sheets or Slack, or let an AI agent call it through the Apify MCP server. Results can be pushed to a webhook when a run finishes.

🤖 For AI Agents & LLM Apps

Purpose: returns Google Play app reviews as structured rows, filtered by date, stars, keywords and language; built for monitoring an app's new reviews.

Minimal input: {"apps": ["com.whatsapp"]} — returns the 100 newest English reviews from the US store. Raise maxReviewsPerApp for more.

Output fields (one row per review): source, targetId (package name), targetName, targetUrl, reviewId, rating (1–5), title (null on Google Play), text, language, country, authorName, authorId (null), authorImageUrl, publishedAt (ISO UTC), updatedAt (null), appVersion, replyText, replyAt, helpfulCount, url, aspectRatings (per-aspect values with Google's aspect codes, mostly for games; null otherwise), scrapedAt. Per-app rating, ratings count and star distribution are in the key-value store record SUMMARY, not in the dataset.

Behaviour: onlyNewerThan and onlyNewSinceLastRun force newest-first order and stop paging once older reviews are reached. stars runs one pass per selected star. languages runs one pass per language; repeats are removed. keywords keeps reviews whose text contains any keyword; to keep runs fast it reads at most 20 × the cap (min 10,000) reviews per list, and SUMMARY.note says when that limit ended the search. maxReviewsPerApp (default 100, max 1,000,000) caps rows per app for each language × star list, so the most rows per app = cap × languages × selected stars. Apps that are not found or fail are listed in SUMMARY.error and the run status message; SUMMARY.note explains apps with zero reviews (filters matched nothing, empty language). The run fails only if no reviews were stored and Google Play itself failed; a mistyped app id or zero new reviews after a cut-off is a successful run.

Limits: publishedAt is the latest edit date as Google Play shows it. Reviews are public text; the data does not prove the reviewer actually used the app version shown.

Billing: only stored reviews are charged (event review); filtered, older, duplicate and failed items are free.

Paid add-ons (off by default): includeTags adds topics, sentiment, isBugReport, isFeatureRequest to each row (event review-tagged instead of review; untagged languages stay review). includeInsights writes key-value record INSIGHTS and includeTrends writes TRENDS, one list item per app with charged, partial and notCharged (the reason it was free); events insights and trends, one per app with 30+ reviews from a complete run. Rule-based, not AI.

❓ FAQ

Is it legal to scrape Google Play reviews?

The scraper collects only publicly visible reviews, without logging in. Reviews include reviewers' public display names, which may be personal data under GDPR and similar laws. Use the data for legitimate purposes and consult a lawyer if unsure.

Do I need a Google account or an API key?

No. Add the app's package name or URL and run.

How do I find an app's package name?

Open the app on play.google.com; it is the id= value in the address bar (…/details?id=com.whatsapp → com.whatsapp). You can paste the whole URL instead.

Why do I get fewer reviews than the app's review count?

Google Play counts star-only ratings as ratings, and lists written reviews per language. Add more languages to collect more, and check reviewsCount in SUMMARY.

Can I get only negative reviews?

Yes: select 1 and 2 stars in Star ratings. You pay only for the reviews returned.

Can I get reviews from several countries?

Google Play groups reviews mainly by language, not country. Use Review languages (en, de, pt-BR …) to cover markets; Country sets the store the app details come from.

Does it need a proxy?

No. Google Play is reachable without one. If you see rate-limit errors on very large runs, turn on Use Apify Proxy (datacenter).

Can AI agents use it?

Yes. It runs through the Apify MCP server and the API; see the For AI Agents section above for the exact behaviour.

Support

Open an issue on the Issues tab — we usually answer within a day. Tell us the app and what you expected to see.

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Also known as: Google Play review scraper, Play Store reviews API, Android app reviews export, Google Play reviews to CSV.