# Google Play Store Scraper (`blazing_stake/gplay-scraper`) Actor

Scrape Google Play app data: name, developer, rating, reviews, installs, price, category. By package ID, any country/language. Fast HTML extraction.

- **URL**: https://apify.com/blazing\_stake/gplay-scraper.md
- **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 1,000 app scrapeds

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/platform/actors/running/actors-in-store#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 Store Scraper

Scrape **Google Play Store** app data — name, developer, rating, review count, install count, price, category, and description — by app package ID. Fast HTML-based extraction, any country and language.

### 🎯 What it extracts

- **App name** and **developer**
- **Rating** (0–5) and **review count** (e.g. 35.9M)
- **Install count** (e.g. 1B+, 500M+)
- **Price** (and free/paid flag)
- **Category**, **description**, and **icon**

Works across **any country + language** storefront.

### 💡 Use cases

- **App Store Optimization (ASO)** — track ratings/installs across competitors
- **Market research** — analyze a category's leading Android apps
- **Competitor monitoring** — watch rivals' ratings and install growth
- **Cross-platform analysis** — pair with the App Store Scraper for full iOS + Android coverage
- **Lead generation** — find Android developers in a niche

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `appIds` | array | Play package IDs (e.g. `com.spotify.music`) |
| `country` | string | Store country code (us, gb, tr…) |
| `language` | string | Language code (en, tr, de…) |
| `maxConcurrency` | integer | Parallel scrapes (default 10) |

#### Example input

```json
{
  "appIds": ["com.spotify.music", "com.whatsapp"],
  "country": "us",
  "language": "en"
}
```

### 📤 Output

```json
{
  "appId": "com.spotify.music",
  "title": "Spotify: Music and Podcasts",
  "developer": "Spotify AB",
  "rating": 4.3,
  "reviewsCount": "35.9M",
  "installs": "1B+",
  "price": "0",
  "free": true,
  "category": "Music & Audio"
}
```

### ⚡ Performance

HTML-based — no browser needed. Scrapes many apps in parallel, each in ~1s.

### 🔗 Tip

Pair with the **App Store Scraper** for complete iOS + Android app intelligence.

# Actor input Schema

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

Google Play package IDs (e.g. 'com.spotify.music'). Find it in the Play Store URL after '?id='.

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

Two-letter country code for the Play Store (us, gb, tr, de, …).

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

Two-letter language code (en, tr, de, …).

## `maxConcurrency` (type: `integer`):

Number of apps scraped in parallel.

## Actor input object example

```json
{
  "appIds": [
    "com.instagram.android",
    "com.zhiliaoapp.musically"
  ],
  "country": "us",
  "language": "en",
  "maxConcurrency": 10
}
```

# 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 = {
    "appIds": [
        "com.spotify.music",
        "com.whatsapp"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/gplay-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.spotify.music",
        "com.whatsapp",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/gplay-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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.spotify.music",
    "com.whatsapp"
  ]
}' |
apify call blazing_stake/gplay-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=blazing_stake/gplay-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wfYCriJoiRcv6RpcC/builds/rh8A0ozZycIxEhoG8/openapi.json