# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/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

## 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(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 '{
  "searchTerms": [
    "habit tracker"
  ]
}' |
apify call blazing_stake/appstore-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blazing_stake/appstore-scraper"
        }
    }
}
```

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/rSyAW7dhvDYEmI6KZ/builds/YM0x4oQXrKsAtZ5t3/openapi.json