# Google Play Reviews Scraper (`xam1go/google-play-reviews-scraper`) Actor

Scrape Google Play app reviews into structured, LLM-ready JSON or CSV. Export ratings, review text, app version, date and author for any app. Ideal for competitor analysis, product feedback and AI sentiment pipelines. Pay per review.

- **URL**: https://apify.com/xam1go/google-play-reviews-scraper.md
- **Developed by:** [Patryk Otrębski](https://apify.com/xam1go) (community)
- **Categories:** E-commerce, AI
- **Stats:** 1 total users, 0 monthly users, 50.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.15 / 1,000 reviews

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/platform/actors/running/actors-in-store#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

Extract **Google Play reviews** for any app into clean, structured, **LLM-ready JSON, CSV or Excel**. Get every rating, review text, app version, date and author — ready for competitor analysis, product feedback, and AI sentiment pipelines. **Pay only per review.**

### How to scrape Google Play reviews

1. Enter the **App ID** (google play package name (e.g. com.whatsapp).).
2. Choose country, max reviews, and sort order (most recent or most relevant).
3. Run — each review is returned as a normalized record plus a ready-to-use `llmText` field for AI.

### Example output

```json
{
  "store": "googleplay",
  "appId": "com.whatsapp",
  "rating": 5,
  "title": "Great app",
  "text": "Works perfectly and easy to use.",
  "version": "2.24.1",
  "date": "2026-06-01T00:00:00.000Z",
  "llmText": "Great app. Works perfectly and easy to use."
}
```

### Use cases

- Monitor your app's Google Play reviews and catch issues fast.
- Track competitor reviews, complaints, and feature requests.
- Feed review text into AI sentiment analysis, topic modeling, or RAG.
- Export Google Play review datasets to JSON, CSV, or Excel.

### FAQ

**In what format do I get the data?** JSON, CSV, or Excel — export from the dataset after the run.
**How many reviews can I fetch?** Set the `maxReviews` limit; you only pay for what you extract.
**Proxy:** Google Play blocks datacenter IPs, so this Actor uses a **residential proxy** by default. Keep it enabled for reliable results.

### Pricing

Pay-per-event: you are charged per review extracted. No subscription.

# Actor input Schema

## `appId` (type: `string`):

Google Play package name (e.g. com.whatsapp).

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

Two-letter country code (us, gb, pl).

## `maxReviews` (type: `integer`):

Max reviews to fetch (you pay per review).

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

Order reviews by most recent or most relevant.

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

Proxy configuration. Google Play requires a residential proxy (datacenter IPs are blocked); the App Store works without one.

## Actor input object example

```json
{
  "appId": "com.whatsapp",
  "country": "us",
  "maxReviews": 100,
  "sort": "recent",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("xam1go/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("xam1go/google-play-reviews-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call xam1go/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=xam1go/google-play-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/st1ettT8equ3uA4Q1/builds/2yqIM84iMocpyvEnU/openapi.json