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

Extract user reviews from any Android app on Google Play Store. Get review text, ratings, timestamps, user info, and developer replies. Supports filtering by star rating, sorting, and multiple languages.

- **URL**: https://apify.com/sync-network/google-play-reviews-scraper.md
- **Developed by:** [Alam](https://apify.com/sync-network) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 results

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

Scrape user reviews from any app on Google Play Store. Extract review text, ratings, user info, developer replies, and more — at scale.

### Features

- **Batch processing** — scrape reviews for multiple apps in a single run
- **Sort options** — by newest, rating, or helpfulness
- **Score filtering** — only get reviews within a rating range (e.g., 1-3 stars)
- **Multi-language** — supports all Google Play languages and countries
- **Developer replies** — captures official developer responses when present
- **Fast & cheap** — pure HTTP, no browser overhead

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `appIds` | array | *(required)* | Google Play app IDs (e.g., `com.whatsapp`) |
| `maxReviews` | integer | `100` | Maximum reviews per app |
| `sort` | string | `"newest"` | Sort order: `newest`, `rating`, `helpfulness` |
| `minScore` | integer | `1` | Minimum rating filter (1-5) |
| `maxScore` | integer | `5` | Maximum rating filter (1-5) |
| `language` | string | `"en"` | Language code (e.g., `en`, `es`, `de`) |
| `country` | string | `"us"` | Country code (e.g., `us`, `de`, `br`) |

### Output

Each review contains:

| Field | Description |
|-------|-------------|
| `reviewId` | Unique review identifier |
| `appId` | App package name |
| `userName` | Reviewer's display name |
| `userAvatar` | Reviewer's avatar URL |
| `score` | Rating (1-5) |
| `text` | Review text |
| `timestamp` | ISO 8601 date |
| `thumbsUpCount` | Number of helpful votes |
| `replyText` | Developer reply (if any) |
| `replyDate` | Developer reply date |
| `appVersion` | App version reviewed |
| `url` | Direct link to review |

### Use Cases

- **App monitoring** — track what users are saying about your apps
- **Competitor analysis** — analyze review trends for competing apps
- **Sentiment analysis** — feed review data into NLP pipelines
- **Market research** — discover feature requests and pain points
- **Customer support** — identify negative reviews needing responses

### Tips

- Use `helpfulness` sort to get the most impactful reviews first
- Filter by `minScore: 1, maxScore: 3` to focus on negative feedback
- Set `maxReviews: 500+` for thorough analysis of popular apps
- Combine with language/country filters for localized insights

# Actor input Schema

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

List of Google Play app package names (e.g. com.instagram.android). Find the ID in the app's Play Store URL: https://play.google.com/store/apps/details?id=PACKAGE\_NAME

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

Maximum number of reviews to fetch per app. Each page returns up to 150 reviews.

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

How to sort the reviews

## `minScore` (type: `integer`):

Filter reviews to only include this rating and above. Leave empty or set to 1 for all reviews.

## `maxScore` (type: `integer`):

Filter reviews to only include this rating and below. Leave empty or set to 5 for all reviews.

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

Language code for reviews (e.g. en, de, fr, es, ja, ko, pt, zh-CN)

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

Country code for the Play Store region (e.g. us, gb, de, jp)

## Actor input object example

```json
{
  "appIds": [
    "com.instagram.android"
  ],
  "maxReviews": 100,
  "sort": "newest",
  "minScore": 1,
  "maxScore": 5,
  "language": "en",
  "country": "us"
}
```

# Actor output Schema

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

Dataset containing all scraped reviews with full details including review ID, app ID, user name, rating, review text, timestamp, thumbs up count, app version, and developer replies

# 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.instagram.android"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("sync-network/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.instagram.android"] }

# Run the Actor and wait for it to finish
run = client.actor("sync-network/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.instagram.android"
  ]
}' |
apify call sync-network/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sync-network/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/nXb3eNUK5jO43Y4xz/builds/kad2AiRCrOTp9bGJB/openapi.json