# App Store Scraper — Search & App Metadata (iTunes API) (`omao/app-store`) Actor

Search the Apple App Store or look up apps by ID and get clean JSON: title, developer, price, rating, rating count, version, genres, description, screenshots and more. Powered by Apple's public iTunes API. No anti-bot.

- **URL**: https://apify.com/omao/app-store.md
- **Developed by:** [Marouane Oulabass](https://apify.com/omao) (community)
- **Categories:** Developer tools
- **Stats:** 9 total users, 3 monthly users, 79.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.44 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 — Search & App Data from Apple's App Store

**Search the Apple App Store or look up any app — and get clean JSON.** Give this actor keywords (like `habit tracker`) or specific app / bundle IDs and get back structured data per app: title, developer, price, rating, rating count, version, genres, description, screenshots and more. Powered by Apple's public iTunes API — no anti-bot, no key.

> AI-agent ready: this Actor is callable and payable by AI agents via [x402](https://docs.apify.com/platform/integrations/x402) (USDC on Base), no Apify account required.

Perfect for App Store Optimization (ASO), competitor research and market analysis.

### Who uses this

- 📱 **ASO & app marketers** — track rankings, ratings and metadata for keywords you target.
- 🔎 **Competitor & market research** — compare apps, pricing, categories and reviews-at-scale.
- 📊 **Analysts & investors** — monitor app performance signals across countries.
- 🤖 **Data & AI pipelines** — feed clean app metadata into your models or dashboards.
- 🧑‍💻 **Developers** — a reliable App Store data endpoint by search or app ID.

### What you get — one clean row per app

| Field | Description |
|---|---|
| `title` | App name |
| `seller` | Developer / seller |
| `price` + `formattedPrice` + `currency` | Price info |
| `rating` + `ratingCount` | Average rating & number of ratings |
| `version` + `currentVersionReleaseDate` | Latest version & date |
| `primaryGenre` + `genres` | Categories |
| `contentRating` | Age rating |
| `description` | Full app description |
| `artworkUrl` + `screenshotUrls` | Icon & screenshots |
| `fileSizeBytes`, `minimumOsVersion`, `supportedDevices` | Technical details |
| `appId`, `bundleId`, `trackViewUrl` | Identifiers & store URL |

### Example

**Input**

```json
{ "searchTerms": ["habit tracker", "budget app"], "country": "us", "entity": "software", "resultsPerTerm": 25 }
```

**Output (one item)**

```json
{
  "title": "Streaks",
  "seller": "Crunchy Bagel",
  "formattedPrice": "$4.99", "price": 4.99, "currency": "USD",
  "rating": 4.8, "ratingCount": 21540,
  "version": "8.1", "primaryGenre": "Productivity",
  "bundleId": "com.crunchybagel.Streaks",
  "trackViewUrl": "https://apps.apple.com/us/app/streaks/id963034692"
}
```

### Why this scraper

- ✅ **Official source** — Apple's public iTunes API, always current.
- 🔎 **Search *or* direct lookup** — by keyword, or by track/bundle ID.
- 🌍 **Any country** — set the two-letter App Store country code.
- 📱 **iPhone, iPad & Mac** — pick the entity you need.
- ⚡ **Fast & affordable** — pay only per app returned. No anti-bot, no key.

### Input options

- `searchTerms` — keywords to search (one search per term).
- `appIds` — specific apps by numeric track ID or bundle ID.
- `country` — two-letter App Store code (default `us`).
- `entity` — `software` (iPhone), `iPadSoftware`, or `macSoftware`.
- `resultsPerTerm` — apps per search term (max 200).

### FAQ

**Search or look up by ID?** Both — pass `searchTerms` for keyword search or `appIds` for exact apps.

**Which countries?** Any — set `country` to a two-letter App Store code (`us`, `gb`, `fr`, `jp`…).

**iPad or Mac apps too?** Yes — set `entity` to `iPadSoftware` or `macSoftware`.

**How fresh is the data?** Live from Apple's iTunes API on every run.

**Can I export to CSV/Excel/Google Sheets?** Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

**What does it cost?** Pay-per-app — you're only charged for apps actually returned.

***

*Tip: run your target keywords weekly and diff `rating`/`ratingCount` to track competitor momentum over time.*

# Actor input Schema

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

Keywords to search on the App Store (one search per term).

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

Look up specific apps by numeric track ID or bundle ID (e.g. com.apple.mobilenotes).

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

Two-letter App Store country code (e.g. us, gb, fr).

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

Type of result to search for.

## `resultsPerTerm` (type: `integer`):

Number of apps to return per search term (max 200).

## `healthCheckMode` (type: `boolean`):

Internal monitoring: run a canary search and FAIL if broken (no billing).

## Actor input object example

```json
{
  "searchTerms": [
    "habit tracker",
    "budget app"
  ],
  "appIds": [
    "com.apple.mobilenotes",
    "284882215"
  ],
  "country": "us",
  "entity": "software",
  "resultsPerTerm": 25,
  "healthCheckMode": false
}
```

# Actor output Schema

## `apps` (type: `string`):

All apps found (title, developer, price, rating, genres, screenshots, URL).

# 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("omao/app-store").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("omao/app-store").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 omao/app-store --silent --output-dataset

```

## MCP server setup

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

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/20ZLeVh9cB0Zhnh7G/builds/NZxBseyyRbm3J9dHc/openapi.json