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

Search the Apple App Store for app names, publishers, prices, ratings, categories, and links. Submit several search phrases in one run to build catalogs or compare storefront listings.

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

## Pricing

from $0.20 / 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.
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

## Apple App Store Search Scraper

Search App Store listings with one or more phrases. Collect app identity, developer, pricing, rating, release, and storefront fields for catalog and market analysis.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `id` | String | Apple product ID assigned to the app in the selected storefront. |
| `type` | String | Apple storefront record type for the app listing. |
| `title` | String | App name displayed on the Apple App Store product page. |
| `artist` | String | Developer or publisher name shown on the app listing. |
| `artist_id` | String | Apple developer account ID associated with the listing. |
| `description` | String | App description displayed in the selected App Store storefront. |
| `url` | String | Public Apple App Store product page URL for the app. |
| `artwork` | String | Image URL for the app icon or storefront artwork. |
| `genres` | Array\<string> | App Store categories assigned to the product. |
| `price` | Integer | Current app price in the selected storefront currency. |
| `formatted_price` | String | Localized price label displayed in the storefront. |
| `currency` | String | ISO currency code used for the listed price. |
| `rating` | Number | Average customer rating on the App Store five-star scale. |
| `rating_count` | Integer | Number of customer ratings recorded for the app. |
| `release_date` | String | App release date reported by the storefront, in ISO 8601 format. |
| `version` | String | Current app version listed by the storefront. |
| `content_rating` | String | Age guidance or content rating assigned to the app. |
| `seller` | String | Seller name printed on the App Store product page. |
| `input_query` | String | Search phrase used to find this App Store listing. |
| `scraped_at` | String | UTC date and time when this app listing was collected. |

### Use cases

- App discovery teams can build localized catalogs of available apps.
- Product marketers can compare competitor ratings, prices, and release history.
- App publishers can monitor how listings appear across storefronts.

### How to use

1. Add one search phrase to `queries` for each App Store search.
2. Set `store`, `country`, and `limit` to focus collection.
3. Run the Actor and export result rows from its dataset.

```json
{
  "queries": [
    {
      "query": "notion"
    }
  ],
  "country": "us",
  "store": "apps",
  "limit": 10,
  "maxResults": 20
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `queries` | Array\<object> | Yes | App Store search phrases. Add one object per phrase. |
| `queries[].query` | string | Yes per entry | Search term (q is accepted as an alias) |
| `queries[].store` | string | No | Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts |
| `queries[].country` | string | No | Two-letter Apple storefront country code (default: us) |
| `queries[].limit` | integer | No | Maximum number of results |
| `store` | string | No | Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts |
| `country` | string | No | Two-letter Apple storefront country code (default: us) |
| `limit` | integer | No | Maximum number of results |
| `maxResults` | integer | No | Maximum dataset items to save across this entire run. |

### Output example

```json
{
  "id": "1234567890",
  "type": "apps",
  "title": "Pocket Notes: Daily Planner",
  "artist": "Northstar Mobile Studio",
  "artist_id": "12345",
  "description": "Organize daily tasks, quick notes, and reminders in one simple planner.",
  "url": "https://apps.apple.com/us/app/pocket-notes-daily-planner/id1234567890",
  "artwork": "https://cdn.northstarmobile.dev/apps/pocket-notes/icon-512.png",
  "genres": [
    "Productivity"
  ],
  "price": 0,
  "formatted_price": "Free",
  "currency": "USD",
  "rating": 4.8,
  "rating_count": 250,
  "release_date": "2025-01-01",
  "version": "1.0",
  "content_rating": "4+",
  "seller": "Northstar Mobile Studio",
  "input_query": "notion",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$0.30 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Set **maxResults** to cap the number of dataset items saved in one run.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~apple-app-store-search-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Can I search storefronts outside the United States?

Yes. Set `country` to the two-letter App Store country code and choose a supported store type.

### Related Scrappa Actors

- [Apple App Store App Details Scraper](https://apify.com/thescrappa/apple-app-store-app-details-scraper)
- [Google Shopping Scraper](https://apify.com/thescrappa/google-shopping-scraper)
- [Google Lens Visual Search Scraper](https://apify.com/thescrappa/google-lens-scraper)

# Actor input Schema

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

App Store search phrases. Add one object per phrase.

## `store` (type: `string`):

Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts

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

Two-letter Apple storefront country code (default: us)

## `limit` (type: `integer`):

Maximum number of results

## `maxResults` (type: `integer`):

Maximum dataset items to save across this entire run.

## Actor input object example

```json
{
  "queries": [
    {
      "query": "notion"
    }
  ],
  "store": "apps",
  "country": "us",
  "limit": 10,
  "maxResults": 20
}
```

# Actor output Schema

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

All results from this run 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 = {
    "queries": [
        {
            "query": "notion"
        }
    ],
    "store": "apps",
    "country": "us",
    "limit": 10,
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thescrappa/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 = {
    "queries": [{ "query": "notion" }],
    "store": "apps",
    "country": "us",
    "limit": 10,
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/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(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": [
    {
      "query": "notion"
    }
  ],
  "store": "apps",
  "country": "us",
  "limit": 10,
  "maxResults": 20
}' |
apify call thescrappa/apple-app-store-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thescrappa/apple-app-store-search-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/GVTJjCKh1HIzHIwdk/builds/PQahBkdep6OMufhJt/openapi.json