Android App Reviews Scraper: Google Play Reviews by Package

Google Play Reviews: App Review Scraper by Package

Pull Google Play Store reviews for any Android app via the public batchexecute/UsvDTd RPC endpoint. One row per review with rating, body, date, thumbsUp, replyText, and replyDate. Specify a list of package IDs and a per-app review cap, and the actor handles cursor pagination automatically.

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Example output row

{
  "reviewId": "gp:AOqpTOF3k2WY8rJ_vQ...",
  "package": "com.whatsapp",
  "rating": 5,
  "title": null,
  "body": "Works flawlessly even on a slow connection. Five stars.",
  "thumbsUp": 47,
  "postedAt": "2024-03-15T11:22:00+00:00",
  "replyText": "Thanks for the kind words! Best, the WhatsApp team",
  "replyAt": "2024-03-16T08:05:00+00:00"
}

Reviewer names are not included; e-mail addresses and phone numbers inside review and reply text are replaced with [email removed] / [phone removed].

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How to use

Supply a JSON input matching the schema below when starting the actor.

{
  "packages": ["com.whatsapp", "com.spotify.music", "com.duolingo"],
  "country": "us",
  "language": "en",
  "maxReviewsPerApp": 100
}

Field	Type	Default	Description
packages	string[]	["com.whatsapp","com.spotify.music","com.duolingo"]	Android package IDs to scrape
country	string	"us"	2-letter country code for review locale
language	string	"en"	2-letter language code
maxReviewsPerApp	integer	100	Maximum reviews fetched per package (up to 400 per app, 10 pages of 40)

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Pricing

Pay per event. Price per 1,000 events:

Event	Base price	Bronze	Silver	Gold
Google Play review extracted	$0.30	$0.27	$0.24	$0.21

Bronze, Silver and Gold are the discounts Apify gives users of its paid plans. The Pricing tab always shows the current prices.

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Buyer

• App developers monitoring user sentiment and competitor feedback on their Play Store listing.
• Market researchers comparing ratings and common complaints across a category (e.g. all top-10 fitness apps).
• Reputation-management agencies tracking a client's review volume and response rate over time.
• Data science teams building NLP models or sentiment classifiers on real mobile app review text.
• Competitor analysts looking for feature gaps by mining 1-star reviews of rival apps.

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Run it through the API

Python, with the apify-client package:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("v0iddo/google-play-app-reviews").call(run_input={"packages": ["com.whatsapp", "com.spotify.music", "com.duolingo"], "maxReviewsPerApp": 20})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript, with the apify-client package:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('v0iddo/google-play-app-reviews').call({"packages": ["com.whatsapp", "com.spotify.music", "com.duolingo"], "maxReviewsPerApp": 20});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

One HTTP call that waits for the run and returns the rows (for runs that finish within 5 minutes):

curl -X POST "https://api.apify.com/v2/acts/v0iddo~google-play-app-reviews/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"packages": ["com.whatsapp", "com.spotify.music", "com.duolingo"], "maxReviewsPerApp": 20}'

Use it from an agent (MCP)

Claude, Cursor, VS Code and other MCP clients can call this actor as a tool through the Apify MCP server. Add it to the client's MCP configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=v0iddo/google-play-app-reviews",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

FAQ

Do I need an account, cookies or an API key?

No. The actor reads public data without logging in. You only need an Apify account to start it.

How many results can one run return?

Set maxReviewsPerApp to the number you need. Large jobs can also be split into several runs or scheduled.

How am I charged?

Pay per event, at the prices on the Pricing tab for your Apify plan (the Pricing section of this page lists them). The platform usage of the run is included in those prices, and your spending limit for a run is always respected.

Why did my run return no results?

The status message and the log of the run say why: usually nothing matched the input, or the source did not answer for a moment. Check the input against the example above and run it again.

Can I run it on a schedule?

Yes. Save your input as a task and add a schedule in the Apify Console (daily, hourly or with a cron expression). Each run gets its own dataset, so you keep a history.

Which formats can I export?

JSON, CSV, Excel, XML, HTML table and RSS from the Output tab or the API. Integrations send the rows to Google Sheets, Slack, Make, Zapier, n8n or a webhook.

Is collecting this data allowed?

The actor collects data that the source publishes openly, without a login. Public data can still be personal data under laws such as the GDPR, and sources have their own terms: make sure your use of the data follows the rules that apply to you.

What happens when the source changes?

An automated test runs the actor every day on the example input and checks the rows, not only that the run finished. When a check fails, the actor is repaired and rebuilt; the build history on this page shows each update.

Something is missing or wrong. Where do I report it?

Open an issue on the Issues tab of this actor with the run link. Requests for a new field are welcome too.

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Source

Reviews are fetched from the Google Play public RPC endpoint:

POST https://play.google.com/_/PlayStoreUi/data/batchexecute?rpcids=UsvDTd&hl={language}&gl={country}

The request body is a f.req= form-encoded batchexecute payload using the UsvDTd RPC ID. No authentication or API key is required. Pagination uses the continuationToken returned in each response. Up to 10 pages of 40 reviews each are fetched per app (max 400 reviews per package per run).