# App Store Scraper — iOS Apps, Ratings & Reviews (`eins332570/app-store-scraper`) Actor

Scrape Apple App Store data — iOS app details, prices, ratings & customer reviews — via Apple's official iTunes APIs. Search by keyword or look up by App/bundle ID, any country. Great for ASO, app market research & review sentiment. No login, no key, no proxy.

- **URL**: https://apify.com/eins332570/app-store-scraper.md
- **Developed by:** [thanachit singruang](https://apify.com/eins332570) (community)
- **Categories:** Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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

## App Store Scraper — Apps & Reviews (iTunes)

Scrape **Apple App Store** apps and their **customer reviews** into **one unified dataset** — using Apple's own public iTunes APIs. No login, no proxies, no browser. Just clean, structured data.

Search the store by keyword, or look up specific apps by **App ID** or **bundle ID**, across any country storefront. Optionally pull each app's most recent reviews for sentiment and product research.

### What you get

**App rows** (`recordType: "app"`):

| Field | Description |
|---|---|
| `appId` | numeric App Store track ID |
| `bundleId` | app bundle identifier (e.g. `com.google.Gmail`) |
| `title` | app name |
| `developer` / `developerId` | seller / developer name and iTunes artist ID |
| `price` / `formattedPrice` / `currency` | price (0 for free) |
| `rating` | average user rating (0–5) |
| `ratingCount` | number of ratings |
| `genre` / `genres` | primary genre and all genres |
| `contentRating` | age rating (e.g. `4+`) |
| `version` | current version |
| `size` | download size in bytes |
| `minimumOsVersion` | minimum iOS version |
| `releaseDate` / `currentVersionReleaseDate` | ISO timestamps |
| `url` | App Store page link |
| `artworkUrl` | app icon |
| `description` | full store description |
| `country` | storefront queried |

**Review rows** (`recordType: "review"`, when **Include reviews** is on):

| Field | Description |
|---|---|
| `reviewId` | unique review ID |
| `appId` / `appName` | which app the review belongs to |
| `rating` | 1–5 stars |
| `title` / `content` | review text |
| `author` | reviewer name |
| `version` | app version reviewed |
| `updatedAt` | ISO timestamp |
| `voteSum` / `voteCount` | helpfulness votes |

### Input

```json
{
  "search": ["note taking"],
  "appIds": ["1232780281"],
  "bundleIds": ["com.google.Gmail"],
  "country": "us",
  "limit": 50,
  "includeReviews": false,
  "reviewsPerApp": 100
}
```

- **search** — keywords to search the App Store. Each returns up to `limit` apps.
- **appIds** — numeric App Store IDs (the number after `/id` in the store URL).
- **bundleIds** — bundle identifiers, e.g. `com.google.Gmail`.
- **country** — two-letter storefront code (default `us`).
- **limit** — max apps per search term (1–200).
- **includeReviews** — also fetch recent reviews for each app.
- **reviewsPerApp** — how many reviews per app (up to 500).

Provide at least one of `search`, `appIds`, or `bundleIds`. Apps found across multiple sources are de-duplicated by App ID.

### Sample output

One dataset row (an app; a review row looks similar with `recordType: "review"`):

```json
{
  "recordType": "app",
  "appId": "1438388363",
  "bundleId": "com.davetech.habit",
  "title": "Habit Tracker",
  "developer": "Inner Grow Limited",
  "price": 0,
  "currency": "USD",
  "formattedPrice": "Free",
  "rating": 4.79262,
  "ratingCount": 145665,
  "genre": "Productivity",
  "genres": ["Productivity", "Health & Fitness"],
  "contentRating": "4+",
  "version": "2.14.23",
  "size": 339836928,
  "minimumOsVersion": "15.0",
  "releaseDate": "2019-01-31T09:10:14.000Z",
  "currentVersionReleaseDate": "2026-08-15T15:18:18.000Z",
  "url": "https://apps.apple.com/us/app/habit-tracker/id1438388363",
  "artworkUrl": "https://is1-ssl.mzstatic.com/.../512x512bb.jpg",
  "description": "Habit Tracker: A simple daily planner to schedule and track your routine…",
  "country": "us"
}
```

### Why it's reliable & cheap

Every request hits Apple's **official public iTunes endpoints** (Search, Lookup, Customer Reviews RSS) — no headless browser, no anti-bot walls, no API key. Transient errors (rate limits, 5xx, network blips) are retried automatically, and an unreachable or empty source is reported and skipped — one bad source never fails the whole run.

### Use cases

- **ASO** — track titles, ratings, versions, and descriptions of competitor apps
- **Market & competitive intelligence** — who's shipping what, at what price, rated how well
- **Review mining** — feed recent reviews into sentiment analysis or an AI product-insights pipeline
- **Portfolio monitoring** — watch your own apps' ratings and versions over time

### Pricing

Pay-per-event: you're billed per app (and per review) returned. Runs that return nothing cost nothing.

# Actor input Schema

## `search` (type: `array`):

Search the App Store by keyword. Each term returns up to `limit` apps. Example: \["note taking", "habit tracker"].

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

Look up specific apps by their numeric App Store ID (the number after /id in the store URL, e.g. apps.apple.com/app/id1232780281 → "1232780281").

## `bundleIds` (type: `array`):

Look up specific apps by their bundle identifier, e.g. "com.google.Gmail".

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

Two-letter country code of the App Store to query (e.g. us, gb, de, jp).

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

Cap the number of apps returned per search term (1–200). Ignored for ID/bundle lookups.

## `includeReviews` (type: `boolean`):

Also fetch recent customer reviews for each app (adds review rows to the dataset).

## `reviewsPerApp` (type: `integer`):

How many recent reviews to fetch per app when 'Include reviews' is on (up to 500; 50 per page).

## Actor input object example

```json
{
  "search": [
    "notion"
  ],
  "country": "us",
  "limit": 50,
  "includeReviews": false,
  "reviewsPerApp": 100
}
```

# Actor output Schema

## `items` (type: `string`):

All scraped app and review records as dataset items.

# 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 = {
    "search": [
        "notion"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("eins332570/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 = { "search": ["notion"] }

# Run the Actor and wait for it to finish
run = client.actor("eins332570/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 '{
  "search": [
    "notion"
  ]
}' |
apify call eins332570/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eins332570/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/Z45N3Q5SfNwirx3xy/builds/1ca8Osf2qLGH3IXb8/openapi.json