# Google Play Reviews Scraper - Ratings, Replies & History (`scrapesage/google-play-reviews-scraper`) Actor

Scrape Google Play app reviews at depth: full review history, star ratings, developer replies, per-country review sets and the 1-5 star histogram. Filter by rating, date, app version or keyword before you pay. No browser, no login. Independent tool, not affiliated with Google LLC.

- **URL**: https://apify.com/scrapesage/google-play-reviews-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Play Reviews Scraper - Ratings, Replies & History

> **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Google Play" is referenced only to describe the publicly available website this Actor collects data from.

Pull **Google Play app reviews** at depth and export them to JSON, CSV or Excel: star rating, full review text, reviewer, date, helpful votes, the app version reviewed, and the **developer's public reply**. Add the app's **1-5 star histogram** in the same run, and read a **different review set per country** without starting a second job.

Built for app teams, ASO and product analysts, competitor research, support-quality benchmarking and LLM/sentiment pipelines that need clean review text with dates attached.

### What you get

| | |
|---|---|
| **Full review history** | Pages through Google's review feed until your limit or the source runs out - not just the first page |
| **Developer replies** | Reply text, reply date, and a computed **reply-latency in hours** for every answered review |
| **Ratings histogram** | One `appRatings` row per app and country: overall score, total ratings, written reviews, and the 1-5 star split in **counts and percentages** |
| **Per-country review sets** | Google serves different reviews per store country. Ask for `us`, `gb`, `de`… in one run; every row carries its `country` |
| **Filters that cost nothing** | Star rating, date window, app version, keyword, has-a-reply. Filtered rows are **never charged** |
| **Find apps by name** | No package name? Give a search term and the Actor resolves the top matches for you |
| **Bulk import** | Paste hundreds of package names, or link a `.txt` / `.csv` / Google Sheet / Drive file |
| **Monitor mode** | Remembers what it has seen, so a scheduled run returns **only new reviews** |
| **No browser, no login** | Plain HTTP through Apify's datacenter proxy. Fast, cheap, and nothing to configure |

### Use cases

- **Competitor teardown** - pull 1★-2★ reviews for a rival app and read what its users actually complain about; the histogram tells you how representative that tail is.
- **Release regression watch** - filter by `appVersion` (or a date window around a release) and compare average score before and after.
- **Support benchmarking** - `onlyWithDeveloperReply` plus `developerReplyLatencyHours` measures how fast a competitor answers, and in what tone.
- **Localisation gaps** - the same app across `us`, `de`, `br`, `in` often has very different complaints.
- **LLM input** - clean, dated review text with a star rating attached, ready for sentiment or theme clustering.
- **Continuous monitoring** - schedule it with **Monitor mode** on and receive only what is new.

### How to use

1. [Sign up for Apify](https://console.apify.com/sign-up) - the free plan is enough to try this Actor.
2. Open the **Google Play Reviews Scraper** and give it one or more **package names** (`com.spotify.music`) - or a **search term** if you do not know the package name.
3. Pick your **countries**, set **Max reviews per app** and any filters, then click **Start**.
4. **Export** as JSON, CSV, Excel, XML or RSS - or pull results programmatically through the [Apify API](https://docs.apify.com/api/v2).

### Input

Minimum - one package name:

```json
{ "appIds": ["com.spotify.music"] }
```

A realistic competitor pull - the last month of critical reviews in three markets:

```json
{
  "appIds": ["com.duolingo", "com.babbel.mobile.android.en"],
  "countries": ["us", "gb", "de"],
  "ratings": ["1", "2"],
  "publishedAfter": "2026-08-01",
  "maxReviewsPerApp": 500,
  "includeRatingsSummary": true
}
```

Everything a developer answered, for a support-tone study:

```json
{ "appIds": ["com.ubercab"], "onlyWithDeveloperReply": true, "maxReviewsPerApp": 200 }
```

Don't know the package name:

```json
{ "searchTerms": ["habit tracker"], "maxAppsPerSearchTerm": 3, "maxReviewsPerApp": 100 }
```

Bulk - paste a block, or link a file, into **Import app IDs from a file**:

```
com.duolingo
com.spotify.music
https://play.google.com/store/apps/details?id=com.whatsapp
```

### Output

A `review` row:

```json
{
  "type": "review",
  "appId": "com.spotify.music",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "reviewId": "72005d29-e252-409a-8089-03b19afd3145",
  "userName": "Karthick Priyan",
  "score": 5,
  "text": "Great for podcasts, but the shuffle keeps resetting.",
  "textLength": 52,
  "thumbsUp": 0,
  "appVersion": "9.1.80.2221",
  "publishedAt": "2026-09-06T06:19:20.951Z",
  "hasDeveloperReply": false,
  "developerReplyText": null,
  "developerReplyAt": null,
  "developerReplyLatencyHours": null,
  "criteria": [{ "criteria": "vaf_app_quality_usability", "rating": 1 }],
  "reviewUrl": "https://play.google.com/store/apps/details?id=com.spotify.music&reviewId=72005d29-%E2%80%A6"
}
```

An `appRatings` row (one per app and country, switch off with `includeRatingsSummary`):

```json
{
  "type": "appRatings",
  "appId": "com.spotify.music",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "score": 4.345,
  "ratingsCount": 36253828,
  "reviewsCount": 1851210,
  "histogram": { "1": 3704549, "2": 1067487, "3": 1319242, "4": 3088388, "5": 27074140 },
  "histogramPercent": { "1": 10.2, "2": 2.9, "3": 3.6, "4": 8.5, "5": 74.7 },
  "installs": "1,000,000,000+",
  "developer": "Spotify AB",
  "genre": "Music & Audio",
  "currentVersion": "VARY",
  "sampleSize": 100,
  "sampleAverageScore": 3.75,
  "sampleReplyRate": 0
}
```

Three dataset views ship with the Actor: **Reviews**, **Developer replies** and **Ratings & histogram**.

### Good to know

- **On every row:** app ID and name, country, language, review ID and URL, reviewer name and avatar, star rating, review text, helpful votes, review date, and `hasDeveloperReply`.
- **`appVersion` is attached to most reviews, not all.** Google records the reviewed version only when it knows it, so a null means Google published none.
- **Developer replies depend entirely on the developer.** Some answer nearly every review; many never answer publicly at all. `hasDeveloperReply` is populated on every row, and **Only reviews with a developer reply** keeps just the answered subset.
- **`criteria` exists only for apps that use rating criteria** (usability, ads, battery…), and only when the reviewer actually filled it in.
- **Google Play has no review titles.** Other stores do; Play does not, so no empty `title` column is shipped.
- **Reviews are served per store country.** A review written in Germany is not in the `us` feed - list several countries if you need a global picture.
- **A narrow filter reads a lot to find a little.** *Max reviews scanned per app* (default 5,000) bounds that search, and the run tells you when it stops there.
- **A run never fails on a transient block.** It ends *Succeeded* with whatever it collected plus a status message explaining what happened.

### How much does it cost to scrape Google Play?

This Actor uses Apify's **pay-per-event** pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:

- **Review scraped** - Charged once per review written to your dataset - star rating, full text, reviewer, date, helpful votes, app version and the developer's public reply. Reviews removed by your filters, reviews already seen in monitor mode, and apps that are not on Google Play are never charged.
- **App ratings summary** - Charged once per app and country when the ratings summary is switched on - overall score, total ratings and written reviews, the 1-5 star histogram in counts and percentages, installs, category, price and current version. Turn off 'Include the app ratings summary' to skip it entirely.

The current price of each event is shown on the **Pricing** tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

### Related Actor

If you need **app metadata, top charts, developer portfolios or developer contact details** rather than reviews, use the sibling **Google Play Store Scraper** - this Actor is deliberately focused on reviews and ratings.

### Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

- **[Apify API](https://docs.apify.com/api/v2)** - start runs, fetch datasets and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** - official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** - run it hourly, daily or weekly and keep your dataset current.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/google-play-reviews-scraper').call({
    "appIds": [
        "com.spotify.music"
    ],
    "maxReviewsPerApp": 100,
    "countries": [
        "us"
    ],
    "language": "en",
    "sort": "NEWEST",
    "includeRatingsSummary": true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);
```

### Integrate with any app

Connect the dataset to thousands of apps - no code required:

- **[Make](https://docs.apify.com/platform/integrations/make)** - multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** - push new records straight into your CRM or spreadsheet.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** - get notified when a scheduled run finds something new.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** - auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** - pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** - trigger runs from commits or releases.

### Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** - describe the data you need and let the assistant run this Actor for you.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

### Tips

- **Country coverage is the whole game.** Google serves a different review set per store country, so listing `us`, `gb`, `de`, `fr`, `es` in one run gets you five times the reviews of a single-country job.
- **Benchmark support quality** by keeping `developerReplyLatencyHours` and comparing median reply time against your competitors.
- **Complaint mining.** Combine the 1-2 star filter with a keyword to isolate a single recurring issue, then feed the text to a topic model.
- **Version regression checks.** Filter on `appVersion` to see whether a release moved the rating.
- **Daily monitoring.** Monitor mode plus a [Schedule](https://docs.apify.com/platform/schedules) charges you only for reviews that are genuinely new.

### FAQ

**How is this Actor billed?** Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.

**Can I schedule it and get results automatically?** Yes - create a [Schedule](https://docs.apify.com/platform/schedules) and add a [webhook](https://docs.apify.com/platform/integrations/webhooks) or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.

**Which export formats are available?** Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.

**Can I run it from code or an AI agent?** Yes - through the [Apify API](https://docs.apify.com/api/v2) and client libraries, or from Claude, ChatGPT and other assistants via the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp).

**Is it legal to scrape Google Play?** This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See **Data & lawful use** and the **Disclaimer** below.

**Is this an official Google Play tool?** No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from Google LLC. See the **Disclaimer** below.

### Data & lawful use

This Actor reads only what Google Play publishes to logged-out visitors: it does not log in, create accounts, or reach anything behind a sign-in. It keeps the ordinary anonymous cookies Google Play itself sets, because the public review feed needs them to page consistently; no account, login or session token is ever used. Names, handles, bios and engagement figures are public, but they relate to identifiable people, so treat the output as personal data. If you are in the EU or UK you are the data controller for what you do with it: have a lawful basis (usually legitimate interest for research, marketing analytics or B2B prospecting), honour access and deletion requests, and do not use the output for spam or unsolicited messaging.

Under [Apify's Standard Actor Contract](https://docs.apify.com/legal/standard-actor-contract), which governs your use of this Actor, you are the controller of any personal data in your input and output and scrapesage acts only as your processor: that data is processed solely to run your job, written only to your own Apify storage, never used for any other purpose and never shared onward. If you need help with a data-subject request that involves this Actor's output, open an issue on the Issues tab.

### Disclaimer

**This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.**

"Google Play" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Google Play product, is not authorised or certified by Google LLC, and does not distribute Google Play software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

### Need help?

Open an issue on the Actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome - this Actor is actively maintained.

# Actor input Schema

## `appIds` (type: `array`):

The apps to pull reviews for. Accepts package names (`com.spotify.music`) or full Google Play URLs - one per row. Leave empty and use *Search terms* below if you only know the app by name.

## `urlsFromFile` (type: `string`):

Bulk import. Paste a block of package names or Google Play URLs (one per line), **or** paste a single link to a `.txt` / `.csv` / Google Sheet / Google Drive / Apify key-value-store file holding them. Blank lines, `#` comments, quotes and extra CSV columns are ignored. Adds to *App IDs or URLs*.

## `searchTerms` (type: `array`):

Search Google Play by name and pull reviews for the top matches - use this when you do not know the package name. Example: `habit tracker`.

## `maxAppsPerSearchTerm` (type: `integer`):

How many top search matches to take reviews from, for each search term.

## `maxReviewsPerApp` (type: `integer`):

Upper limit of reviews per app **per country**. Google serves reviews newest-first in pages of ~150; the Actor stops as soon as the source runs out.

## `maxScannedPerApp` (type: `integer`):

Safety limit for **filtered** searches. A narrow filter (a rare keyword, one app version) can read an app's whole review history before it matches; this caps how many reviews are read per app and country while looking. Only applies when a filter is set - it never limits an unfiltered run. The run says so when the limit stops a search.

## `sort` (type: `string`):

Order Google returns reviews in. *Newest* is the only order that supports the date window efficiently.

## `countries` (type: `array`):

Google Play serves a **different review set per country**. Pick as many as you need - each app is scraped once per country and rows carry the `country` they came from.

## `language` (type: `string`):

Store language. Affects the reviews returned and the app metadata text.

## `ratings` (type: `array`):

Keep only these star ratings. Leave empty for all. Filtered-out reviews are **never charged**.

## `publishedAfter` (type: `string`):

Keep only reviews posted on or after this date, e.g. `2026-01-01`. With *Newest first* the Actor stops paging as soon as it passes this date, so a narrow window costs less.

## `publishedBefore` (type: `string`):

Keep only reviews posted on or before this date, e.g. `2026-06-30`.

## `containsText` (type: `string`):

Keep only reviews whose text contains this phrase (case-insensitive), e.g. `crash`, `refund`, `subscription`.

## `appVersion` (type: `string`):

Keep only reviews left on this exact app version, e.g. `8.9.10`. Google exposes the version on a minority of reviews - see the README.

## `onlyWithDeveloperReply` (type: `boolean`):

Keep only reviews the developer publicly answered - the fastest way to study a competitor's support voice.

## `includeReviews` (type: `boolean`):

On by default. Switch **off** for a cheap ratings-only snapshot: one `appRatings` row per app and country with the score and star histogram, and no review pages read or charged at all. Useful for tracking many competitors' ratings on a schedule.

## `includeRatingsSummary` (type: `boolean`):

Adds one `appRatings` row per app and country: overall score, total ratings, the **1-5 star histogram** (counts and percentages), installs, category and version. Charged as `app-ratings`.

## `outputFields` (type: `array`):

Trim the export to just these columns. Leave empty for every field.

## `monitorMode` (type: `boolean`):

Remembers review IDs between runs and emits only reviews it has not seen before. Pair with an Apify Schedule to track an app continuously.

## `monitorStoreName` (type: `string`):

Named key-value store holding the remembered review IDs. Use a different name per tracked app set.

## `maxConcurrency` (type: `integer`):

Parallel app/country units. Lower this if Google starts throttling.

## `proxyConfiguration` (type: `object`):

Apify Proxy is used by default. Datacenter proxy is enough for Google Play - no residential needed.

## Actor input object example

```json
{
  "appIds": [
    "com.spotify.music"
  ],
  "maxAppsPerSearchTerm": 3,
  "maxReviewsPerApp": 200,
  "maxScannedPerApp": 5000,
  "sort": "NEWEST",
  "countries": [
    "us"
  ],
  "language": "en",
  "onlyWithDeveloperReply": false,
  "includeReviews": true,
  "includeRatingsSummary": true,
  "monitorMode": false,
  "monitorStoreName": "google-play-reviews-monitor",
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Every review and ratings summary collected in this run.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "appIds": [
        "com.spotify.music"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/google-play-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "appIds": ["com.spotify.music"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/google-play-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "appIds": [
    "com.spotify.music"
  ],
  "countries": [
    "us"
  ]
}' |
apify call scrapesage/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/google-play-reviews-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ATBl7dzZgHUmCo9uK/builds/E8yjQnK4sbyjujqZW/openapi.json