# Apple App Store Scraper - Metadata, Ratings & Pricing API (`kevinserver24/apple-app-store-metadata`) Actor

Structured iOS/iPadOS catalog metadata -- price, category, ratings, release history, size -- read from Apple's public iTunes Search and Lookup API. No developer name, no reviews, no screenshots.

- **URL**: https://apify.com/kevinserver24/apple-app-store-metadata.md
- **Developed by:** [Kevin](https://apify.com/kevinserver24) (community)
- **Categories:** Developer tools, Business, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 app metadata extracteds

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?

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

## Apple App Store Metadata API

Unaffiliated, third-party Actor. Not affiliated with, endorsed by, or
sponsored by Apple Inc. "App Store" and "iTunes" are trademarks of Apple Inc.

Give it search terms or bundle IDs and a storefront country; get back
structured catalog metadata for the matching iOS/iPadOS apps -- title,
bundle ID, price, currency, category, content rating, aggregate rating,
rating count, release and current-version dates, app size, minimum OS
version, and the app's own store description. Sourced entirely from Apple's
public iTunes Search and Lookup API (itunes.apple.com/search,
itunes.apple.com/lookup), the same interface Apple documents for
third-party use in building search and catalog features on top of its
store.

This Actor deliberately does not return the developer/seller name, the
developer's Apple ID, screenshots, icons, or previews. The first is dropped
because Apple's own data shows individual sole-trader developers publish
under their own personal name (confirmed empirically), which this factory
will not ship without narrow, WORKPLACE-only handling it cannot yet
justify at this data's scale; the second because Apple's promotional-asset
terms restrict reuse of icons and previews to badge-proximate promotional
placements, which is not this product's use case. It also does not scrape
reviews, which carry a reviewer's chosen display name.

# Actor input Schema

## `queries` (type: `array`):

One app per line (or comma-separated): a free-text search term ("solitaire"), a bundle identifier ("com.apple.Pages") or a numeric App Store track ID ("409183694"). Each one becomes exactly one billable record.

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

The two-letter Apple storefront country code to query (e.g. "us", "fr", "jp"). Prices, availability and ratings are specific to a storefront.

## Actor input object example

```json
{
  "queries": [
    "com.apple.Pages",
    "solitaire"
  ],
  "country": "us"
}
```

# 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 = {
    "queries": [
        "com.apple.Pages",
        "solitaire"
    ],
    "country": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("kevinserver24/apple-app-store-metadata").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 = {
    "queries": [
        "com.apple.Pages",
        "solitaire",
    ],
    "country": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("kevinserver24/apple-app-store-metadata").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 '{
  "queries": [
    "com.apple.Pages",
    "solitaire"
  ],
  "country": "us"
}' |
apify call kevinserver24/apple-app-store-metadata --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kevinserver24/apple-app-store-metadata"
        }
    }
}

```

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/S8yh11e3IccCp4lIl/builds/PingduI3MOgcwXEuw/openapi.json