# Apple App Store Search Scraper (`good-apis/apple-app-store-search-scraper`) Actor

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

## Pricing

$1.00 / 1,000 results

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

## Apple App Store Search Scraper

Search the Apple App Store by keyword and get a clean list of matching apps — **title, developer, price, star rating, rating count, genre, version, size, release/update dates, icon, screenshots, and a description snippet** — as fast JSON. No login, no browser to run, no API key from Apple.

Point it at any keyword (`photo editor`, `budget tracker`, `meditation`) and any storefront (`us`, `gb`, `de`, `jp`) and it returns the top matching apps with full metadata for each — no per-app page fetch needed.

**Pricing: $1.00 per 1,000 results** (pay per result). You're only charged for apps actually returned — an empty search costs nothing.

### What you get

Every result is one app:

| Field | Description |
|---|---|
| `app_id` | Apple numeric app id (trackId) |
| `bundle_id` | App bundle identifier (e.g. `com.burbn.instagram`) |
| `title` | App name |
| `developer` | Developer / artist name |
| `seller` | Seller name |
| `url` | App Store page URL |
| `rating` | Average user rating (0–5) |
| `rating_count` | Total number of ratings |
| `price` / `formatted_price` / `currency` | Price, localized price string, currency |
| `free` | `true` if the app is free |
| `genre` / `genres` | Primary genre and full genre list |
| `content_rating` | Age/content rating |
| `version` | Current version |
| `size_bytes` | Download size in bytes |
| `release_date` / `updated` | First release and latest-update dates (ISO 8601) |
| `icon` | App icon URL (512px) |
| `screenshots` | Up to 10 iPhone screenshot URLs |
| `description` | Description snippet (first ~500 chars) |

### Input

| Field | Required | Description |
|---|---|---|
| `query` | ✓ | Keyword to search the App Store for |
| `country` | | Storefront code — `us`, `gb`, `de`, `jp`, … (default `us`) |
| `max_results` | | How many apps to return, 1–50 (default 20) |

```json
{ "query": "photo editor", "country": "us", "max_results": 20 }
```

### Example output

```json
{
  "app_id": 587366035,
  "title": "Facetune: AI Photo & Video Edit",
  "developer": "Lightricks Ltd.",
  "url": "https://apps.apple.com/us/app/id587366035",
  "rating": 4.76,
  "rating_count": 1183254,
  "price": 0,
  "formatted_price": "Free",
  "currency": "USD",
  "free": true,
  "genre": "Photo & Video",
  "version": "3.5.1",
  "updated": "2026-07-08T12:00:00Z"
}
```

### How to run it

**API**:

```bash
curl -X POST "https://api.apify.com/v2/acts/good-apis~apple-app-store-search-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query":"photo editor","country":"us","max_results":20}'
```

**Python**:

```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("good-apis/apple-app-store-search-scraper").call(
    run_input={"query": "photo editor", "country": "us", "max_results": 20})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["rating"], item["developer"])
```

**Node.js**:

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('good-apis/apple-app-store-search-scraper').call({
  query: 'photo editor', country: 'us', max_results: 20,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(a => console.log(a.title, a.rating, a.developer));
```

### FAQ

**Do I need a login or an Apple API key?** No — it reads the public App Store catalog.

**How many results can I get?** Up to 50 per keyword. For broad coverage, run several related keywords.

**Does `country` change the results?** Yes — each storefront has its own catalog, availability, pricing, and language. Set `country` to the storefront you care about.

**What if my keyword matches nothing?** The run succeeds with an empty dataset — you're not charged for zero results.

**Do you also have app details and reviews?** Yes — see the **Apple App Store App Info Scraper** (full listing for one app) and the **Apple App Store Reviews Scraper** (customer reviews).

# Actor input Schema

## `query` (type: `string`):

Keyword to search the Apple App Store for apps (e.g. 'photo editor', 'meditation', 'budget tracker').

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

Apple App Store country/storefront code (e.g. 'us', 'gb', 'de', 'jp') — affects availability, pricing, and language.

## `max_results` (type: `integer`):

Maximum number of apps to return. The iTunes Search API returns up to 200 results; capped here at 50.

## Actor input object example

```json
{
  "query": "photo editor",
  "country": "us",
  "max_results": 20
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped items in the default dataset.

# 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 = {
    "query": "photo editor",
    "country": "us",
    "max_results": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("good-apis/apple-app-store-search-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 = {
    "query": "photo editor",
    "country": "us",
    "max_results": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("good-apis/apple-app-store-search-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 '{
  "query": "photo editor",
  "country": "us",
  "max_results": 20
}' |
apify call good-apis/apple-app-store-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/j0xVMWcy3ge5YMeim/builds/nZbzqZRyLfUi9Bpfv/openapi.json