# App Store Scraper (`bgfc97/app-store-scraper`) Actor

Scrape Apple App Store apps via the official iTunes Search API — ratings, rating count, price, developer, genre, version, size, release/update dates, description, screenshots — by keyword or app ID, across countries. No key, no proxy.

- **URL**: https://apify.com/bgfc97/app-store-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 app fetcheds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## App Store Scraper 🍎

Get **Apple App Store** app data via Apple's own iTunes Search API — ratings, rating count, price, developer, genre, version, size, release/update dates, description, and screenshots — by keyword or app ID, across any country.

Perfect for App Store Optimization (ASO), competitor tracking, market research, and app portfolio monitoring. Pairs with the App Store **Reviews** scraper for the full picture.

### What it does

- **Search** the App Store by keyword (iPhone, iPad, or Mac catalogs).
- **Lookup** full details for specific app IDs.
- Localized by country.

### Input

```json
{
  "searchTerms": ["photo editor"],
  "appIds": ["389801252"],
  "country": "us",
  "entity": "software",
  "limit": 50
}
```

### Output (one row per app)

```json
{
  "type": "search_result",
  "app_id": 389801252,
  "name": "Instagram",
  "developer": "Instagram, Inc.",
  "price": 0,
  "rating": 4.7,
  "rating_count": 25000000,
  "primary_genre": "Photo & Video",
  "version": "300.0",
  "updated": "2026-07-10T...",
  "url": "https://apps.apple.com/us/app/instagram/id389801252"
}
```

### Notes

- Uses Apple's official, documented iTunes Search API — stable and legal.
- No API key and **no proxy** needed.
- Run on a schedule to track ratings and versions for your apps and competitors.

# Actor input Schema

## `searchTerms` (type: `array`):

Keywords to search the App Store, e.g. 'photo editor', 'budget tracker'.

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

Numeric App Store IDs (the number in apps.apple.com/app/idXXXXXXXXX) for full detail.

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

Two-letter App Store country code (us, br, gb, de...).

## `entity` (type: `string`):

Which App Store catalog to query.

## `limit` (type: `integer`):

Max apps returned per search term (up to 200).

## Actor input object example

```json
{
  "searchTerms": [
    "photo editor"
  ],
  "appIds": [],
  "country": "us",
  "entity": "software",
  "limit": 50
}
```

# 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 = {
    "searchTerms": [
        "photo editor"
    ],
    "appIds": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/app-store-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 = {
    "searchTerms": ["photo editor"],
    "appIds": [],
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/app-store-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 '{
  "searchTerms": [
    "photo editor"
  ],
  "appIds": []
}' |
apify call bgfc97/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/app-store-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QfmheQo1QNVidhIpa/builds/e9JSaCXf1AXdnBjI6/openapi.json