# App Store Scraper (Apple) (`muhammad4hmed/app-store-scraper`) Actor

Scrape Apple App Store app details, customer reviews and search results across any storefront. 29 fields per app, per-country ratings, no proxy needed.

- **URL**: https://apify.com/muhammad4hmed/app-store-scraper.md
- **Developed by:** [Muhammad Ahmed](https://apify.com/muhammad4hmed) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 (Apple)

Scrape **app details**, **customer reviews** and **search results** from the Apple App Store — across any storefront, in one run.

### Why this one

Most App Store Actors do reviews only, for one country. This one covers the whole surface:

- **App details** — 29 fields including rating, rating count, price, version, release notes, genres, minimum iOS, file size, screenshots and supported languages.
- **Customer reviews** — rating, title, body, author, app version, helpful votes and timestamp.
- **Search** — turn a keyword into apps, then scrape those apps in the same run.
- **Any storefront, and it genuinely matters.** Ratings differ per country: WhatsApp is ⭐4.685 in the US and ⭐4.704 in the UK. Pass several country codes and each is scraped separately.
- **Three ways to name an app** — App Store URL, numeric ID, or bundle ID (`com.burbn.instagram`).

It uses Apple's own public endpoints, so there is no browser, no login and no proxy required.

### Input

| Field | Type | Description |
|---|---|---|
| `apps` | array | App Store URLs, numeric IDs, or bundle IDs |
| `searchTerms` | array | Each term returns up to `searchLimit` apps, which are then scraped |
| `countries` | array | Two-letter storefront codes (default `["us"]`) |
| `scrapeAppDetails` | boolean | Include app metadata (default `true`) |
| `scrapeReviews` | boolean | Include customer reviews (default `true`) |
| `maxReviewsPerApp` | integer | Per app per storefront (default `100`) |
| `reviewSort` | string | `mostRecent` or `mostHelpful` |
| `searchLimit` | integer | Apps returned per search term (default `10`) |
| `maxItems` | integer | Stop after N dataset items (`0` = no limit) |
| `concurrency` / `requestDelayMs` | integer | Throughput controls |
| `proxyConfiguration` | object | Optional — not needed for Apple |

#### Example

```json
{
  "apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997", "com.burbn.instagram"],
  "searchTerms": ["habit tracker"],
  "countries": ["us", "gb"],
  "maxReviewsPerApp": 100
}
```

### Output

Two item types in one dataset. App records (`type: "app"`):

```json
{
  "type": "app",
  "appId": 310633997,
  "bundleId": "net.whatsapp.WhatsApp",
  "country": "US",
  "title": "WhatsApp Messenger",
  "sellerName": "WhatsApp Inc.",
  "formattedPrice": "Free",
  "version": "26.31.74",
  "averageRating": 4.68524,
  "ratingCount": 18417400,
  "primaryGenre": "Social Networking",
  "minimumOsVersion": "15.1",
  "fileSizeBytes": 391026688,
  "contentRating": "12+",
  "screenshots": ["https://..."],
  "languages": ["EN", "AR", "..."]
}
```

Reviews (`type: "review"`):

```json
{
  "type": "review",
  "appId": 310633997,
  "country": "US",
  "reviewId": "14431062325",
  "title": "Simple",
  "text": "Reliable",
  "rating": 5,
  "version": "26.31.74",
  "author": "Lynwasty",
  "voteCount": 0,
  "updatedAt": "2026-08-15T07:42:28-07:00"
}
```

Apps that cannot be found produce an item with `error` rather than vanishing from the results.

### Notes and limits

- **Apple caps reviews at roughly 500 per app per storefront** (50 per page, ~10 pages). Asking for more returns what exists rather than failing. To get more, scrape additional storefronts — their reviews are different.
- **Reviews are per-storefront.** US reviews and UK reviews are separate sets, as are their ratings.
- **A bundle ID must contain a dot** (`com.burbn.instagram`); a bare word is treated as invalid rather than guessed at.
- **You are charged per review actually returned**, never per review requested.

### Local development

```bash
npm install
npm run build
node dist/main.js     # reads storage/key_value_stores/default/INPUT.json
```

# Actor input Schema

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

App Store URLs, numeric IDs, or bundle IDs like `com.burbn.instagram`.

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

Each term returns up to "Apps per search" results, which are then scraped like any other app.

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

Two-letter country codes. Ratings and reviews genuinely differ per storefront, so each is scraped separately.

## `scrapeAppDetails` (type: `boolean`):

Name, rating, price, version, genres, screenshots and more.

## `scrapeReviews` (type: `boolean`):

Customer reviews with rating, text, author and app version.

## `maxReviewsPerApp` (type: `integer`):

Apple serves 50 per page and stops at roughly 500, so values above 500 return what is available.

## `reviewSort` (type: `string`):

Order Apple returns reviews in. Most recent is best for monitoring; most helpful surfaces the reviews users voted up.

## `searchLimit` (type: `integer`):

How many apps each search term returns before they are scraped.

## `maxItems` (type: `integer`):

Stop after this many dataset items. 0 means no limit.

## `concurrency` (type: `integer`):

How many app/storefront combinations to process in parallel.

## `requestDelayMs` (type: `integer`):

Apple is tolerant; raise only if you see rate-limit warnings.

## `proxyConfiguration` (type: `object`):

Optional. Apple's public endpoints work without a proxy.

## Actor input object example

```json
{
  "apps": [
    "310633997",
    "com.burbn.instagram"
  ],
  "searchTerms": [],
  "countries": [
    "us"
  ],
  "scrapeAppDetails": true,
  "scrapeReviews": true,
  "maxReviewsPerApp": 100,
  "reviewSort": "mostRecent",
  "searchLimit": 10,
  "maxItems": 0,
  "concurrency": 3,
  "requestDelayMs": 300,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

All scraped app records and reviews.

# 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 = {
    "apps": [
        "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammad4hmed/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 = { "apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"] }

# Run the Actor and wait for it to finish
run = client.actor("muhammad4hmed/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 '{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
  ]
}' |
apify call muhammad4hmed/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammad4hmed/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/NXVB4To1hmXPdBbeh/builds/K5zNM1KmEeWYxvgON/openapi.json