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Google Play Reviews Scraper — Android App Reviews & Ratings

A Google Play reviews scraper that returns every user review of any Android app as structured rows: the 1–5 star rating, review text, reviewer name, thumbs-up count, app version, date and the developer's public reply — google play reviews for every language and country you name, in a single run, each row tagged with its language and country. It makes the same review call the Play Store's own web page makes, follows the continuation token to the end of the list, and works for android app reviews in the hundreds of thousands per app.

Run Google Play Reviews Scraper on Apify →

Google play reviews scraper pricing: what one row costs

You pay per delivered review row — $0.004 a review — and nothing else: app rows, status rows, filtered reviews, apps with no reviews, unknown packages and failed jobs are free. A run that reads 300 reviews per locale for two locales and keeps the 1–2★ ones with text typically delivers 60–120 rows, so it costs 25–50 cents. The full corpus of a big app is priced by the row too: 100,000 reviews are $400, and maxReviewsPerApp or a spending limit on the run caps it wherever you like.

Compute is tiny: one review call returns up to 100 reviews in about a second, so a thousand-review job is ten calls.

Google play reviews scraper input reference

Every field of Google Play Reviews, straight from the actor's input schema.

Example input

{ "appIds": ["com.whatsapp"], "languages": ["en", "es", "pt-BR", "hi"], "countries": ["us", "br", "in"], "maxReviewsPerApp": 500 }

{ "appIds": ["com.spotify.music"], "languages": ["en"], "countries": ["us", "gb"], "sort": "most_recent", "maxRating": 2, "requireText": true, "maxReviewsPerApp": 300 }

Google play reviews scraper output fields

Three row types share one dataset: review (one user review, charged), app (context for an app in a language and country, free) and status (per app, language and country, free).

Dataset views in the Apify Console: Overview, Reviews, Complaints, Apps, Status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "review",
  "review_id": "22aacbd1-267e-445b-948c-629ad3d87a2a",
  "app_id": "com.whatsapp",
  "app_name": "WhatsApp Messenger",
  "language": "en",
  "country": "us",
  "rating": 5,
  "text": "so strict",
  "author": "Emmanuel Shimison",
  "author_id": "105709602236647094141",
  "thumbs_up": 0,
  "app_version": "2.26.21.75",
  "review_date": "2026-08-28T06:25:25Z",
  "review_day": "2026-08-28",
  "reply_text": null,
  "reply_date": null,
  "url": "https://play.google.com/store/apps/details?id=com.whatsapp&hl=en&gl=us&reviewId=22aacbd1-267e-445b-948c-629ad3d87a2a",
  "fetched_at": "2026-08-29T10:25:00Z"
}

Google play reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/google-play-reviews-scraper").call(run_input={
    "appIds": ["com.whatsapp"],
    "languages": ["en", "de"],
    "countries": ["us", "de"],
    "sort": "most_recent",
    "maxRating": 2,
    "requireText": True,
    "maxReviewsPerApp": 200,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["language"], row["country"], row["rating"], row["review_day"], (row["text"] or "")[:80])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/google-play-reviews-scraper').call({
    appIds: ['com.spotify.music'], languages: ['en'], countries: ['us', 'gb'],
    sort: 'most_recent', sinceDate: '7 days', maxReviewsPerApp: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
const reviews = items.filter(r => r.type === 'review');
console.log(reviews.length, 'new reviews this week;', reviews.filter(r => r.reply_text).length, 'answered');

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~google-play-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"appIds": ["com.whatsapp"], "languages": ["en"], "countries": ["us"], "maxReviewsPerApp": 50}'

The same three calls are runnable files in the examples repository: examples/google-play-reviews-scraper.py|.js|.sh.

Limits and honest notes

FAQ

Does it need a Google account or API key?

No. Google Play has no public google play review api for reading reviews; this actor uses the public review call that the Play Store web page itself makes, without a login. You only need an Apify account.

Can I download Google Play reviews as CSV or Excel?

Yes. Every run writes an Apify dataset; open the Reviews view and export it as CSV, Excel, JSON or XML, or fetch it from the API. Google play reviews csv exports are the most common use — the columns are flat, so nothing needs cleaning.

How do I get only Google Play negative reviews?

Set maxRating to 2 (or minRating and maxRating both to 1 for one-star only, which Google filters server-side), add requireText: true so star-only reviews are dropped, and sort by most_recent. You pay only for the rows that survive — google play negative reviews for a fraction of the price of reading everything.

Can I scrape reviews in many languages and countries at once?

Yes — languages and countries are lists, every combination is one job, and each row carries language and country. That is the difference between an English-only export and google play reviews by language that reflect the whole user base.

How many reviews can one app return?

Everything Google pages out. There is no fixed cap: the actor follows the continuation token until the list ends, which for the biggest apps is hundreds of thousands of reviews per locale. maxReviewsPerApp and a spending limit on the run are the two ways to stop earlier.

Does it include the developer's reply?

Yes. reply_text and reply_date carry the google play developer reply when there is one — the basis of a response-rate report or a "which complaints went unanswered" view.

Can I use it for competitor app reviews?

Yes. Give several package names, one language and country set, and sort: "most_relevant"; you get competitor app reviews side by side with the same columns, ready for app review analysis — theme counting, sentiment, feature requests — in the tool of your choice.

Can I scrape Google Play reviews without an API?

That is exactly what this does: scrape google play reviews through the store's own web call, no SDK, no quota to apply for, no browser to run.

What does bulk work cost?

$0.004 a review row, nothing for anything else. 10,000 reviews are $40; a scheduled feed that delivers 20 new reviews a day is $2.40 a month.

Which order should I schedule?

most_recent with a relative sinceDate. most_relevant for a one-off portrait of what users think; rating when you want the praise first.

How to use Google Play Reviews Scraper

• How to Scrape App Store and Google Play Reviews — Both stores serve reviews per storefront and locale, not globally. How to get a complete corpus, what each row carries, and the sort that breaks schedules.
• How to Build a Voice of Customer Dataset — Join reviews from OTAs, marketplaces, app stores and Trustpilot into one table: scales, languages, dedupe keys, ceilings and what each source is good for.

Related scrapers

• Trustpilot Reviews Scraper — company reviews and TrustScore from Trustpilot, past the 200-review wall an anonymous reader normally hits.
• Apple App Store Reviews Scraper — the iOS half of this pair: App Store reviews across every country storefront, matching columns.
• Amazon Reviews Scraper — customer reviews for any product across 20 marketplaces, with the same pre-billing rating filters.
• Airbnb Reviews Scraper and Agoda Reviews Scraper — guest reviews for hospitality, filtered before billing.

Run Google Play Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/google-play-reviews-scraper