# Google Play App Data Scraper (`xam1go/google-play-app-data-scraper`) Actor

Scrape Google Play app data into structured, LLM-ready JSON. Search apps by keyword or fetch details by App ID: title, developer, rating, installs, price, category, version and description. Ideal for ASO, app market research and competitor intelligence. Pay per app.

- **URL**: https://apify.com/xam1go/google-play-app-data-scraper.md
- **Developed by:** [Patryk Otrębski](https://apify.com/xam1go) (community)
- **Categories:** SEO tools, AI
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 apps

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 App Data Scraper

Scrape **Google Play app data** into structured, **LLM-ready JSON, CSV or Excel**. Search apps by keyword or fetch details by App ID: title, developer, rating, ratings count, installs, price, category, version and description. Built for **ASO (App Store Optimization)**, app market research, and competitor intelligence. **Pay per app.**

### How to scrape Google Play app data

1. Enter a **search term** (e.g. "meditation") to find apps, or a list of **App IDs** for specific apps.
2. Choose country and max results.
3. Run — each app is returned as a normalized record plus an `llmText` field for AI analysis.

### Example output

```json
{
  "store": "googleplay",
  "appId": "com.whatsapp",
  "title": "Example App",
  "developer": "Example Inc.",
  "rating": 4.6,
  "ratingsCount": 128000,
  "installs": "10,000,000+",
  "price": 0,
  "free": true,
  "genre": "Productivity",
  "llmText": "Example App. Note-taking made simple."
}
```

### Use cases

- **App Store Optimization (ASO):** analyze competitor titles, categories, and ratings.
- Track competitor apps, pricing, and developer portfolios.
- Build app-market datasets for research or AI pipelines.
- Export to JSON, CSV, or Excel.

### FAQ

**Search by keyword or by App ID?** Both — use `searchTerm` to discover apps, or `appIds` for specific ones.
**In what format do I get the data?** JSON, CSV, or Excel from the dataset.
**Proxy:** Google Play blocks datacenter IPs, so this Actor uses a **residential proxy** by default.

### Pricing

Pay-per-event: you are charged per app returned. No subscription.

# Actor input Schema

## `searchTerm` (type: `string`):

Search apps by keyword (e.g. "meditation"). Leave empty if using App IDs.

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

Specific app IDs to fetch details for (e.g. com.whatsapp). Overrides the search term.

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

Two-letter country code (us, gb, pl).

## `maxResults` (type: `integer`):

Max apps to fetch (you pay per app).

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

Proxy configuration. Google Play requires a residential proxy (datacenter IPs are blocked); the App Store works without one.

## Actor input object example

```json
{
  "searchTerm": "meditation",
  "country": "us",
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("xam1go/google-play-app-data-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("xam1go/google-play-app-data-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 '{}' |
apify call xam1go/google-play-app-data-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=xam1go/google-play-app-data-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/djDlEo4Eq9wrgCd4z/builds/A4G5ZW0laX4LPQHp1/openapi.json