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

Export Google Play reviews for any Android app: star rating, review text, app version, thumbs-up count, date and developer reply, in any language and country. Clean fields, no reviewer data.

- **URL**: https://apify.com/datalantern/google-play-reviews.md
- **Developed by:** [Data Lantern](https://apify.com/datalantern) (community)
- **Categories:** Marketing, Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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?

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

**Google Play Reviews Scraper** exports reviews of any Android app from the Google Play Store: star rating, review text, app version, thumbs-up count, date, and the developer's reply. Paste Google Play links, choose the language and country, and download thousands of reviews as CSV, Excel, or JSON for app review analysis, sentiment tracking, competitor research, and product feedback.

### What can this tool do?

- Export all available Google Play reviews of an app, or just the latest ones, with no fixed page limit.
- Include the developer's reply and reply date, to see how a company handles feedback.
- Collect reviews in any language and country, for example English–US, German–Germany, Portuguese–Brazil.
- Sort by newest, most relevant, or rating, and filter by stars (for example only 1–2 star complaints).
- Scrape many apps in one run, each row with the same clean columns.
- Leave out reviewer names, avatars, and profile IDs: you get the feedback, not personal data.

### What data does it return?

One row per review. Example from a real run of the default input:

| Field | Example |
|---|---|
| `appId` | com.spotify.music |
| `appName` | Spotify: Music and Podcasts |
| `country` | us |
| `language` | en |
| `reviewId` | a8b49c2f-7138-43cd-9bae-6222495483e1 |
| `rating` | 5 |
| `content` | After having the app for a long time, I think its really great! One of the things they could improve on, however is some of the personalization settings… |
| `appVersion` | 9.1.82.2161 |
| `thumbsUpCount` | 0 |
| `date` | 2026-09-23T20:14:45.000Z |
| `developerReply` | null (the developer's answer when there is one) |
| `developerReplyDate` | null |
| `reviewUrl` | https://play.google.com/store/apps/details?id=com.spotify.music\&reviewId=a8b49c2f-7138-43cd-9bae-6222495483e1 |

- Dates are in UTC. Missing values are `null`. `appVersion` is `null` when the reviewer's app version is unknown.

### How to use it

1. Paste one or more Google Play links or package names (for example `com.spotify.music`).
2. Choose the language and country, the sort order, the maximum number of reviews, and optionally a star filter.
3. Click **Start**, then download the reviews as CSV, Excel, or JSON, or read them through the API.

### Pricing

Pay per review: **$0.20 per 1,000 reviews**, plus $0.005 per run. You only pay for reviews you receive. Set a maximum cost per run in the run options and the tool stops when it is reached.

### Use it through the API, AI agents, and integrations

Schedule it daily to track new reviews, call it from your code with the Apify API, or connect it to Make, Zapier, n8n, Google Sheets, or an AI agent through Apify's MCP server.

### Is it legal?

This tool reads the same public review data the Google Play website shows to any visitor, without logging in or bypassing access controls. It does not collect reviewer names, avatars, or profile IDs. You are responsible for how you use the data; check Google Play's terms for your use case.

### FAQ

**Why are there fewer reviews than the rating count on Google Play?** The rating count includes star-only ratings. Only written reviews are exported, and Google Play shows reviews per language, so choose the language your users write in.

**Can I get reviews from several countries or languages?** Run the tool once per language and country combination; each run can include many apps.

**Can I get App Store reviews too?** Use our Apple App Store Reviews Scraper for iPhone and iPad apps; both tools use the same columns where possible.

### Feedback

Found a bug or need a field added? Open an issue on the **Issues** tab. We usually respond within 24 hours.

# Actor input Schema

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

One app per line: a Google Play link (https://play.google.com/store/apps/details?id=com.spotify.music) or a package name (com.spotify.music).

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

0 means all available reviews (large apps have hundreds of thousands).

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

Newest first, Google's most relevant, or by rating.

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

Language of the reviews, for example en, de, es, pt-BR. Google Play returns reviews written in this language.

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

Two-letter country code of the store, for example us, gb, de, in, br.

## `minRating` (type: `integer`):

Optional. Keep only reviews with at least this many stars (1–5).

## `maxRating` (type: `integer`):

Optional. Keep only reviews with at most this many stars (1–5), for example 2 to collect complaints.

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

Optional. Usually not needed; enable Apify datacenter proxies if Google starts refusing requests on very large runs.

## Actor input object example

```json
{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "maxReviewsPerApp": 100,
  "sortBy": "newest",
  "language": "en",
  "country": "us"
}
```

# Actor output Schema

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

No description

# 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": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("datalantern/google-play-reviews").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": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("datalantern/google-play-reviews").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": 100
}' |
apify call datalantern/google-play-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datalantern/google-play-reviews"
        }
    }
}
```

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/UDieojP7qmLfjnHBU/builds/r0m7yBjdNHvjQLYQf/openapi.json