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

Extract structured Google Play app reviews with rating, text, author, date, developer reply, and app metadata.

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

## Pricing

from $2.00 / 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 - App Feedback Export

Extract public Google Play reviews for one Android app or a batch of apps. Export review text, star ratings, timestamps, helpful votes, app versions, and developer replies as flat JSON or CSV-ready records. No Google API key is required.

### What data can I extract?

- App package ID and unique review ID
- Reviewer display name and public image URL
- Full review text and one-to-five star score
- Helpful-vote count and review timestamp
- Review/app version fields
- Developer reply and reply timestamp
- Language and country context used for extraction

### Input example

```json
{
  "app_ids": [
    "com.spotify.music",
    "com.google.android.youtube"
  ],
  "max_items": 50,
  "sort": "newest",
  "language": "en",
  "country": "us"
}
```

`max_items` applies per app. You can also use `app_id` for a single package ID or full Google Play URL and filter to a `score` from 1 through 5.

### Output example

```json
{
  "app_id": "com.spotify.music",
  "review_id": "gp:AOqp...",
  "user_name": "Alex",
  "user_image": "https://play-lh.googleusercontent.com/...",
  "text": "Useful app and easy to navigate.",
  "score": 5,
  "thumbs_up": 42,
  "review_version": "8.9.10",
  "app_version": "8.9.12",
  "reviewed_at": "2026-09-09T14:30:00",
  "developer_reply": "Thanks for your feedback.",
  "developer_replied_at": "2026-09-10T08:15:00",
  "language": "en",
  "country": "us"
}
```

### Common use cases

- Monitor product sentiment and newly reported defects
- Compare reviews across competing Android apps
- Collect low-star feedback for support or product teams
- Analyze developer-response coverage and response time
- Give AI agents bounded app-feedback datasets for summarization

### Use with AI agents and MCP

Example agent intent:

> Collect the 100 newest one-star reviews for Spotify in the US English store, including review text, version, timestamp, and developer reply.

```json
{
  "app_id": "com.spotify.music",
  "max_items": 100,
  "sort": "newest",
  "score": 1,
  "language": "en",
  "country": "us"
}
```

### Pricing and cost control

The suggested launch price is **$0.002 per result**. Output charges are approximately $0.20 for 100 reviews or $2.00 for 1,000, plus any platform charges displayed by Apify. For batches, multiply `max_items` by the number of apps to calculate the maximum possible output. The live Store pricing is authoritative.

### Reliability

The Actor uses a stable endpoint client with retries, continuation-token pagination, review-ID deduplication, per-app failure isolation, and a hard failure when every requested app fails. This is endpoint-contract monitoring rather than DOM selector healing.

### Limitations and responsible use

- Public Google Play reviews only.
- Availability can differ by language and country.
- Deleted, moderated, or region-restricted reviews cannot be returned.
- Upstream fields may be absent for some reviews.
- Use public review data in accordance with applicable law and platform terms.

### FAQ

#### Can I scrape reviews for several apps in one run?

Yes. Supply up to 25 package IDs or Play Store URLs in `app_ids`.

#### Can I filter Google Play reviews by star rating?

Yes. Set `score` from 1 to 5.

#### Can I export reviews to CSV or Excel?

Yes. Download either format from the Actor's default dataset.

See [CHANGELOG.md](CHANGELOG.md) for maintained schema changes.

# Actor input Schema

## `app_id` (type: `string`):

Android package ID or full Google Play app URL.

## `app_ids` (type: `array`):

Optional list of up to 25 apps. When supplied, these are processed instead of app\_id.

## `max_items` (type: `integer`):

Hard maximum number of review records returned and billed for each app.

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

Sort reviews by newest, relevance, or rating.

## `score` (type: `integer`):

Return only reviews with this star rating. Leave empty for all ratings.

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

Two-letter language code used by Google Play.

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

Two-letter country code used by Google Play.

## Actor input object example

```json
{
  "app_id": "com.spotify.music",
  "max_items": 25,
  "sort": "newest",
  "language": "en",
  "country": "us"
}
```

# Actor output Schema

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

Extracted Google Play review records from the default dataset.

# 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 = {
    "app_id": "com.spotify.music"
};

// Run the Actor and wait for it to finish
const run = await client.actor("captainhandsome/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 = { "app_id": "com.spotify.music" }

# Run the Actor and wait for it to finish
run = client.actor("captainhandsome/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 '{
  "app_id": "com.spotify.music"
}' |
apify call captainhandsome/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,captainhandsome/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/qFG2MxbyYZkhYgmGo/builds/6a75iaL3psg3C54Ri/openapi.json