# Google Play Store Reviews Scraper (`gitlab/playstore-reviews-scraper`) Actor

Scrape user reviews from the Google Play Store for any Android app by app ID with multi-language and multi-country support. Extracts reviewer name, star rating, review text, thumbs-up count, and date — perfect for app reputation monitoring and user feedback analysis.

- **URL**: https://apify.com/gitlab/playstore-reviews-scraper.md
- **Developed by:** [Gitlab](https://apify.com/gitlab) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Google Play Reviews Scraper

Collect real live reviews from Google Play using the installed google-play-scraper provider. Supply appId or appIds as package IDs or Google Play detail URLs. Language/country default to en/us, and sort defaults to newest. Supported sorts are newest, rating and helpfulness.

maxItems is the total output limit across apps, default and prefill 10. maxReviews is the per-app cap, also default 10. Duplicate review IDs are removed within each app; collection stops when the total limit is reached. Zero helpful-vote counts are preserved.

Only fields exposed by the source are returned. The current provider does not expose separate review titles, so title remains null. Developer reply text and date are present only when the source includes a reply. Neither titles nor replies are generated from review content. Missing dates are not replaced by collection dates.

The source review field inventory is retained under SOURCE_REVIEW_FIELDS\_ keys, alongside app URL, country/language, collection time and count. Dataset records include source URLs and extraction timestamps. Authentication/access/quota errors stop collection without proxy rotation around provider limits; upstream failures are not written as fake reviews. Run locally with `apify run`.

# Changelog

This Actor's version history is a separate document: https://apify.com/gitlab/playstore-reviews-scraper/changelog.md

# Actor input Schema

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

Google Play app package names or URLs. E.g. 'com.facebook.katana' or full Play Store URL.

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

Per-app maximum, bounded by total maxItems. Default 10.

## `sortBy` (type: `string`):

Sort order for reviews.

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

Language code for reviews (e.g. en, fr, de).

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

Country code for Play Store region (e.g. us, gb, in).

## `maxItems` (type: `integer`):

Total review limit across all apps; default and prefill 10.

## Actor input object example

```json
{
  "appIds": [
    "com.openai.chatgpt"
  ],
  "maxReviews": 10,
  "sortBy": "newest",
  "language": "en",
  "country": "us",
  "maxItems": 10
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing the records extracted by this Actor.

# 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.openai.chatgpt"
    ],
    "maxReviews": 10,
    "sortBy": "newest",
    "language": "en",
    "country": "us",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("gitlab/playstore-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.openai.chatgpt"],
    "maxReviews": 10,
    "sortBy": "newest",
    "language": "en",
    "country": "us",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("gitlab/playstore-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.openai.chatgpt"
  ],
  "maxReviews": 10,
  "sortBy": "newest",
  "language": "en",
  "country": "us",
  "maxItems": 10
}' |
apify call gitlab/playstore-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gitlab/playstore-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/JzrMAGbUYfwyAL8Cp/builds/2sSIhY4XsSCm8uaZS/openapi.json