# App Store Scraper (`blazing_stake/appstore-scraper`) Actor

Scrape Apple App Store app details and customer reviews via official iTunes API. Search by keyword or app ID, across any country. Fast JSON, no browser.

- **URL**: https://apify.com/blazing\_stake/appstore-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

$10.00 / 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

## App Store Scraper

Scrape **Apple App Store** app details and customer reviews at scale — using Apple's official iTunes API and Reviews feed. Clean JSON data, no HTML parsing, blazing fast.

### 🎯 What it does

**Search** apps by keyword or **fetch** specific apps by ID, and for each app get:

- Full metadata: name, developer, category, price, version, size, content rating
- **Ratings**: average rating, total rating count, current-version rating
- **Customer reviews**: rating, title, text, author, version, date (up to 500/app)
- Description, release notes, screenshots, icon, supported languages
- Release date + last updated date

Works across **any country storefront** (us, gb, tr, de, jp, …).

### 💡 Use cases

- **App Store Optimization (ASO)** — track ratings, reviews, keywords across competitors
- **Competitor monitoring** — watch rival apps' ratings and user sentiment
- **Review analysis / sentiment** — feed reviews into LLMs for insight mining
- **Market research** — analyze a category's top apps
- **Lead generation** — find app developers in a niche

### 📥 Input

| Field | Type | Description |
|-------|------|-------------|
| `searchTerms` | array | Keywords to search the store |
| `appIds` | array | Specific numeric App Store IDs |
| `country` | string | Storefront code (us, gb, tr…) |
| `includeReviews` | boolean | Fetch reviews (default true) |
| `maxReviewsPerApp` | integer | Reviews per app (default 100) |
| `searchLimit` | integer | Apps per search term (default 20) |

#### Example input

```json
{
  "searchTerms": ["habit tracker"],
  "country": "us",
  "includeReviews": true,
  "maxReviewsPerApp": 100
}
```

### 📤 Output

```json
{
  "appId": "310633997",
  "name": "WhatsApp Messenger",
  "developer": "WhatsApp Inc.",
  "category": "Social Networking",
  "rating": 4.69,
  "ratingCount": 18194258,
  "price": 0,
  "version": "2.24.x",
  "reviews": [
    { "rating": 5, "title": "Great app", "text": "...", "author": "user123", "date": "2026-07-01" }
  ],
  "reviewsCount": 100
}
```

### ⚡ Performance

Uses Apple's JSON endpoints directly — no browser, no HTML scraping. Fetches an app + 100 reviews in seconds.

# Actor input Schema

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

Keywords to search the App Store (e.g. 'fitness', 'budget app'). Each term returns multiple apps.

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

Specific App Store numeric IDs to scrape directly (e.g. 310633997 for WhatsApp). Find the ID in any App Store URL.

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

Two-letter country code for the App Store storefront (us, gb, tr, de, etc.).

## `includeReviews` (type: `boolean`):

Fetch customer reviews for each app.

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

Maximum number of reviews to fetch per app (up to ~500).

## `searchLimit` (type: `integer`):

How many apps to return for each search term.

## Actor input object example

```json
{
  "searchTerms": [
    "meditation",
    "photo editor"
  ],
  "appIds": [
    "310633997",
    "544007664"
  ],
  "country": "us",
  "includeReviews": true,
  "maxReviewsPerApp": 100,
  "searchLimit": 20
}
```

# 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 = {
    "searchTerms": [
        "habit tracker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blazing_stake/appstore-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": ["habit tracker"] }

# Run the Actor and wait for it to finish
run = client.actor("blazing_stake/appstore-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": [
    "habit tracker"
  ]
}' |
apify call blazing_stake/appstore-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/rSyAW7dhvDYEmI6KZ/builds/YM0x4oQXrKsAtZ5t3/openapi.json