# Google Play Reviews Scraper – All Reviews of Any App (`pulsedata/google-play-reviews-scraper`) Actor

Scrape all reviews of any Google Play app: rating, text, date, app version, thumbs-up count and developer reply. Newest, by rating or most helpful; any country and language. No API key, no proxies. $0.20 per 1,000 reviews.

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

## Pricing

from $1.00 / 1,000 app scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 – All Reviews of Any App

Export **every review of any Google Play app** – star rating, review text, date, app version, thumbs-up count and the developer's reply – as JSON, CSV or Excel. Sort by newest, rating or helpfulness, pick any country and language. No Google API key, no quotas, no proxies needed.

**$0.20 per 1,000 reviews** (+ $0.001 per app for the app details row). 10,000 reviews cost about $2.

### What you get

One item per review:

```json
{
  "type": "review",
  "store": "google-play",
  "appId": "com.spotify.music",
  "reviewId": "c3b1…",
  "userName": "Alex",
  "score": 2,
  "title": null,
  "text": "Shuffle keeps playing the same 20 songs …",
  "date": "2026-08-27T15:12:03.000Z",
  "version": "9.0.52.123",
  "thumbsUp": 41,
  "replyText": "Thanks for the feedback …",
  "replyDate": "2026-08-28T09:00:11.000Z",
  "url": "https://play.google.com/store/apps/details?id=com.spotify.music&reviewId=c3b1…"
}
```

Plus one `type: "app"` row per app with title, developer, rating, installs, price and version, so you can join reviews to the app.

### Input

| Field | Description |
|---|---|
| `apps` | Google Play URLs or package names, one per line. |
| `maxReviewsPerApp` | Cap per app; 0 = all. |
| `reviewsSort` | `newest`, `rating` or `helpfulness`. |
| `country`, `language` | Store country and review language, e.g. `us` / `en`, `de` / `de`. |

### Use cases

- **Product feedback mining** – find recurring complaints and feature requests after a release.
- **Competitor research** – what users love and hate about rival apps.
- **Sentiment analysis & LLM pipelines** – clean text with rating labels, ready for classification.
- **Review monitoring** – schedule daily runs with `reviewsSort: newest` and push new reviews to Slack or a sheet.
- **ASO** – spot the words users actually use for your app's category.

### FAQ

**Do I need an API key?** No – Google Play has no public reviews API; the actor reads the store's pages directly.

**How many reviews can I get?** All of them. Set `maxReviewsPerApp` to 0; Google Play serves reviews in pages of up to 200.

**Can I get reviews from other countries?** Yes – set `country` (e.g. `gb`, `de`, `in`) and `language`.

**Does it include developer replies?** Yes, `replyText` and `replyDate` when the developer answered.

**Need App Store reviews too?** Use the [App Store Reviews Scraper](https://apify.com/pulsedata/app-store-reviews-scraper) or the combined [App Store & Google Play Scraper](https://apify.com/pulsedata/app-store-google-play-scraper) (also does search, top charts and developer portfolios).

### Integrations

Run via API/SDK or on a schedule; export JSON, CSV, Excel; push to Google Sheets, Make, Zapier, n8n; usable as an MCP tool for AI agents.

### More data tools by pulsedata

- [Google Ads Transparency Center Scraper](https://apify.com/pulsedata/google-ads-transparency-scraper)
- [App Store & Google Play Scraper](https://apify.com/pulsedata/app-store-google-play-scraper)
- [Career Page Jobs Scraper](https://apify.com/pulsedata/career-page-jobs-scraper)
- [Website Tech Stack Detector](https://apify.com/pulsedata/website-tech-stack-detector)
- [YouTube Scraper](https://apify.com/pulsedata/youtube-scraper)
- [YouTube Comments Scraper](https://apify.com/pulsedata/youtube-comments-scraper)
- [YouTube Transcript Scraper](https://apify.com/pulsedata/youtube-transcript-scraper)

# Actor input Schema

## `apps` (type: `array`):

Google Play app URLs (`https://play.google.com/store/apps/details?id=…`) or package names such as `com.spotify.music`.

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

Maximum reviews per app. Use 0 for all reviews (large apps have hundreds of thousands).

## `reviewsSort` (type: `string`):

Order in which reviews are collected (newest first, by rating, or most helpful).

## `country` (type: `string`):

Two-letter store country code (us, gb, de, fr, in, br, …). Affects availability, prices, charts and reviews.

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

Language code for Google Play content and reviews (en, de, fr, es, …).

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

Usually not needed. Enable Apify Proxy if you run very large volumes.

## Actor input object example

```json
{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "maxReviewsPerApp": 500,
  "reviewsSort": "newest",
  "country": "us",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Results stored in the default dataset (JSON/CSV/Excel via the dataset API).

# 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 = {
    "apps": [
        "https://play.google.com/store/apps/details?id=com.spotify.music"
    ],
    "maxReviewsPerApp": 500
};

// Run the Actor and wait for it to finish
const run = await client.actor("pulsedata/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 = {
    "apps": ["https://play.google.com/store/apps/details?id=com.spotify.music"],
    "maxReviewsPerApp": 500,
}

# Run the Actor and wait for it to finish
run = client.actor("pulsedata/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 '{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "maxReviewsPerApp": 500
}' |
apify call pulsedata/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pulsedata/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/ZAsFGMF3YXQnBYhPh/builds/27IadE1CXC0tpz5da/openapi.json
