# Google Play Reviews Scraper (Android) (`goodnight-dreams/google-play-reviews`) Actor

Get the latest customer reviews, ratings and app metadata for any Android app on Google Play by package ID or by searching its name, across any country storefront. Clean JSON, no login, no proxies needed.

- **URL**: https://apify.com/goodnight-dreams/google-play-reviews.md
- **Developed by:** [James Goodnight](https://apify.com/goodnight-dreams) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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/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 (Android)

Pull the most recent customer reviews for any Android app on Google Play, from any country
storefront, as clean JSON. Give it package IDs (like `com.whatsapp`) or just app names. No login,
no proxies, no Google Play developer account. Also returns the app's metadata (developer, score,
rating count, installs, price, current version) so one run gives you everything for competitor
research, ASO, sentiment analysis, or feeding an AI agent.

### What you get

One record per review: `rating`, `content`, `author`, `thumbsUp`, `reviewCreatedVersion`, `at`,
`replyContent`, `repliedAt`, plus `appId` and `country`. Optionally one `type: "app"` record per
app with metadata. Google Play reviews have no title field, so `title` is always `null`.

### Limits

Google exposes reviews without requiring login, but through an unofficial endpoint (this Actor
uses the `google-play-scraper` library, which scrapes Google Play's own public web pages) rather
than a documented API — Google can change the page structure at any time. There's no fixed cap
like Apple's 500, but Google Play only serves the most recent slice of the full review history per
pull. The pattern that works: run this on a schedule and dedupe on the stable `reviewId` to build a
full history over time.

### Pricing

Pay per event: **$2 per 1,000 reviews** ($0.002 each). App metadata records are free. A 10-app
competitor sweep at 100 reviews each is about $2.

### Example input

```json
{ "apps": ["com.whatsapp", "Notion"], "country": "us", "maxReviewsPerApp": 200 }
```

# Actor input Schema

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

Android package IDs (like com.whatsapp) or app names to search for. Package IDs (anything containing a dot) are used directly; names resolve to the top search result.

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

Two-letter Play Store country code (the `gl` parameter).

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

Two-letter language code for review text and app metadata (the `hl` parameter).

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

Maximum number of reviews to fetch per app, paginated in batches of 200.

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

Review sort order. Google Play only exposes three orders: newest first, highest-rated first, or most relevant (Google's own relevance ranking, generally favors longer/more-helpful reviews).

## `includeAppInfo` (type: `boolean`):

Adds one record per app with name, developer, score, rating count, installs, price and current version.

## Actor input object example

```json
{
  "apps": [
    "com.whatsapp",
    "Notion"
  ],
  "country": "us",
  "language": "en",
  "maxReviewsPerApp": 100,
  "sort": "newest",
  "includeAppInfo": true
}
```

# Actor output Schema

## `reviews` (type: `string`):

Dataset with one record per review, plus one metadata record per app.

# 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": [
        "com.whatsapp",
        "Notion"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("goodnight-dreams/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": [
        "com.whatsapp",
        "Notion",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("goodnight-dreams/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": [
    "com.whatsapp",
    "Notion"
  ]
}' |
apify call goodnight-dreams/google-play-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,goodnight-dreams/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/vqXJbnxImRSbHx5Ez/builds/MX3nWpFXqp3Ut8n1H/openapi.json