# App Store Scraper (`workmatic/app-store-scraper`) Actor

Scrape Apple App Store app details, search results and top charts in any of 175 countries. Get name, developer, price, rating, rating count, version, release notes, genres, size and screenshots as clean JSON, CSV or Excel. Official data, no login, no proxies needed.

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

## Pricing

$2.00 / 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.

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 the **Apple App Store** in any of 175 countries: search results by keyword, full details for any app, and the **top free / top paid charts**. Every row carries the complete App Store record: name, developer, price, rating, rating count, version, release notes, genres, content rating, size, supported languages, icon and screenshots. Data comes from Apple's official public endpoints, so there is no login, no anti-bot layer and no proxy cost.

### What you can do

- **Keyword search** – `searchTerms: ["music player", "budget tracker"]` returns up to 200 apps per term and country, in App Store ranking order.
- **App details** – `apps: ["https://apps.apple.com/us/app/spotify/id324684580", "324684580", "com.spotify.client"]` accepts URLs, numeric IDs and bundle IDs.
- **Top charts** – `chart: "top-free"` or `"top-paid"` with `chartLimit` up to 200, with the chart position in `chartRank`.
- **Any country** – `countries: ["us", "gb", "de", "jp"]` scrapes each storefront separately, so you see local prices, ratings and rankings.

### Output fields

`appId`, `bundleId`, `name`, `url`, `country`, `source`, `searchTerm`, `chartRank`, `developer`, `developerId`, `developerUrl`, `price`, `currency`, `free`, `rating`, `ratingCount`, `ratingCurrentVersion`, `ratingCountCurrentVersion`, `version`, `releaseDate`, `currentVersionReleaseDate`, `releaseNotes`, `description`, `primaryGenre`, `genres`, `contentRating`, `minimumOsVersion`, `fileSizeBytes`, `languages`, `icon`, `screenshots`, `ipadScreenshots`, `scrapedAt`.

### Input example

```json
{
  "searchTerms": ["meditation"],
  "chart": "top-free",
  "chartLimit": 100,
  "countries": ["us", "gb"],
  "maxResultsPerSearch": 50,
  "maxApps": 500
}
```

### Pricing

**$2 per 1,000 apps.** You pay only for app rows saved to the dataset. Platform usage is minimal: the actor uses plain HTTP requests and about 256 MB of memory.

### Use cases

- **Market research** – size a category by scraping the top charts across countries.
- **Competitor tracking** – schedule a daily run on your competitors' IDs and diff `version`, `rating` and `releaseNotes`.
- **ASO** – see which apps rank for your keywords in each storefront.
- **Pricing intelligence** – compare `price` and `currency` per country.
- **AI agents** – works over MCP; ask your agent for "the top 50 paid productivity apps in Germany".

### Reliability

Requests go to Apple's public iTunes Search API and top-charts feed with retries and exponential backoff. Rows are de-duplicated by app and country, and results are saved as they arrive so partial runs still return data.

### Legal

Only publicly available App Store listing data is collected. No user data is involved.

### Support

Open an issue on the actor's **Issues** tab. Bugs are usually fixed within a day.

# Actor input Schema

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

Keywords to search the App Store for, e.g. 'music player', 'budget tracker'. Each term returns up to 'maxResultsPerSearch' apps per country.

## `apps` (type: `array`):

App Store URLs (https://apps.apple.com/us/app/spotify/id324684580), numeric IDs (324684580) or bundle IDs (com.spotify.client).

## `chart` (type: `string`):

Also scrape a top chart for each country: none, top-free or top-paid.

## `chartLimit` (type: `integer`):

How many apps to take from the chart (max 200).

## `countries` (type: `array`):

Two-letter storefront codes, e.g. us, gb, de, jp, br, in. Default us.

## `maxResultsPerSearch` (type: `integer`):

Per term and country (max 200).

## `maxApps` (type: `integer`):

Hard stop for the whole run.

## `language` (type: `string`):

Language for descriptions and release notes where the storefront supports it, e.g. en\_us, de\_de, ja\_jp. Leave empty for the storefront default.

## Actor input object example

```json
{
  "searchTerms": [
    "music player"
  ],
  "chart": "none",
  "chartLimit": 100,
  "countries": [
    "us"
  ],
  "maxResultsPerSearch": 50,
  "maxApps": 1000
}
```

# Actor output Schema

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

One row per app and country with full App Store details.

## `summary` (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": [
        "music player"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("workmatic/app-store-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": ["music player"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("workmatic/app-store-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": [
    "music player"
  ],
  "countries": [
    "us"
  ]
}' |
apify call workmatic/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,workmatic/app-store-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/JamD4DleifHOexXFG/builds/hb3fYsWR6OGWgzRFR/openapi.json