# Best AppStore Scraper (`scoutlayer/appstore-scraper`) Actor

A powerful Apify Actor designed to extract comprehensive data from the Apple App Store. This scraper can collect detailed app profiles, extract user reviews, and track category and keyword search rankings, making it perfect for market research and competitor analysis.

- **URL**: https://apify.com/scoutlayer/appstore-scraper.md
- **Developed by:** [Scoutlayer](https://apify.com/scoutlayer) (community)
- **Categories:** Developer tools, AI, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.99 / 1,000 reviews scrapeds

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/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

Get Apple App Store app profiles, reviews, category rankings, and keyword rankings. This actor is powered live by the [ScoutLayer](https://scoutlayer.io) API, so there's nothing to configure and no ScoutLayer account needed — just run it.

### Features

- **App Profile**: Name, description, rating, price, developer, screenshots, and more for one app
- **Reviews**: Paginated reviews for an app, including developer replies
- **Category Rankings**: Top free/paid/grossing charts for a category
- **Keyword Rankings**: App Store search rankings for a keyword

### Pricing

This actor uses [pay-per-event pricing](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) — you're charged per result, not per run:

| Event     | Charged for                                                                        |
| --------- | ---------------------------------------------------------------------------------- |
| `profile` | Each app profile returned by the App Profile scrape type                           |
| `reviews` | Each review returned by the Reviews scrape type                                    |
| `ranks`   | Each ranked app returned by the Category Rankings or Keyword Rankings scrape types |

### Input

#### Scrape Type

Select the type of data to fetch using the `scrapeType` field:

| Value      | Description                                        |
| ---------- | -------------------------------------------------- |
| `app`      | Fetch detailed metadata for one or more apps       |
| `reviews`  | Fetch reviews for one or more apps                 |
| `category` | Fetch a category's ranking chart                   |
| `keywords` | Fetch app rankings for one or more search keywords |

#### All Input Fields

| Field            | Type    | Required for | Default    | Description                                                                                                      |
| ---------------- | ------- | ------------ | ---------- | ---------------------------------------------------------------------------------------------------------------- |
| `scrapeType`     | string  | Always       | `app`      | Scrape type (see table above)                                                                                    |
| `country`        | string  | —            | —          | Two-letter storefront country code, e.g. `"US"`. Applies to every scrape type                                    |
| `appIds`         | array   | `app`        | —          | App IDs or full URLs, e.g. `["310633997"]` or `["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"]` |
| `reviewAppIds`   | array   | `reviews`    | —          | App IDs or full URLs to fetch reviews for                                                                        |
| `maxReviewPages` | integer | —            | `5`        | Max review pages per app                                                                                         |
| `categories`     | array   | `category`   | —          | Category slugs matching Apple's own naming, e.g. `["business"]`                                                  |
| `chart`          | string  | —            | `top-free` | `top-free`, `top-paid`, or `top-grossing`                                                                        |
| `keywords`       | array   | `keywords`   | —          | Search keywords, e.g. `["email marketing"]`                                                                      |

Note: `category` and `keywords` each return one page per request — the underlying API doesn't paginate these two.

### Output

Results are stored in the **dataset** under the key `results`. The shape varies by scrape type.

#### App Profile

```json
{
  "appId": "310633997",
  "store": "apple",
  "title": "WhatsApp Messenger",
  "subtitle": "Simple. Secure. Reliable messaging.",
  "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
  "iconUrl": "https://is1-ssl.mzstatic.com/....png",
  "description": "WhatsApp from Meta...",
  "rating": { "value": 4.7, "max": 5 },
  "reviewsCount": null,
  "price": { "current": 0, "currency": "USD", "displayed": "Free" },
  "isFree": true,
  "mainCategory": "Social Networking",
  "categories": ["Social Networking"],
  "installs": null,
  "installsCount": null,
  "developer": {
    "name": "WhatsApp Inc.",
    "id": "310633997",
    "url": "https://apps.apple.com/...",
    "email": null,
    "website": null
  },
  "minimumOsVersion": "15.0",
  "sizeBytes": 250000000,
  "releasedAt": "2009-05-03T00:00:00Z",
  "lastUpdatedAt": "2026-07-20T00:00:00Z",
  "updateNotes": "Bug fixes and performance improvements.",
  "screenshotUrls": ["https://is1-ssl.mzstatic.com/...1.png"],
  "videoUrls": [],
  "languages": ["EN", "ES"],
  "contentRating": "12+",
  "similarApps": [{ "appId": "447188370", "title": "Snapchat" }],
  "moreByDeveloper": [],
  "checkedAt": "2026-08-11T00:00:00Z"
}
```

`reviewsCount` is `null` for Apple — the App Store doesn't expose a total review count, this isn't missing data. `installs`/`installsCount`/`developer.email`/`developer.website` are Google Play–only fields, always `null` here.

#### Reviews

Each result is one review, with `page` (added by the actor) indicating which page it appeared on.

```json
{
  "reviewId": "abc123",
  "appId": "310633997",
  "rating": 5,
  "title": "Great app",
  "text": "Works flawlessly every day.",
  "publishedAt": "2026-08-01T00:00:00Z",
  "helpfulCount": 12,
  "authorName": "jdoe",
  "appVersion": "24.10.1",
  "developerReply": null,
  "page": 1
}
```

#### Category Rankings / Keyword Rankings

Each result is one ranked app. `category` or `keyword` (added by the actor) indicates which lookup it came from.

```json
{
  "appId": "310633997",
  "title": "WhatsApp Messenger",
  "rank": 3,
  "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
  "iconUrl": "https://is1-ssl.mzstatic.com/....png",
  "rating": 4.7,
  "reviewsCount": null,
  "isFree": true,
  "price": { "current": 0, "currency": "USD" },
  "developerName": "WhatsApp Inc.",
  "isSponsored": false,
  "category": "business"
}
```

### Usage Examples

#### Get an app's profile

```json
{
  "scrapeType": "app",
  "appIds": ["310633997"],
  "country": "US"
}
```

#### Get an app's reviews

```json
{
  "scrapeType": "reviews",
  "reviewAppIds": ["310633997"],
  "maxReviewPages": 3
}
```

#### Get a category's top-paid chart

```json
{
  "scrapeType": "category",
  "categories": ["business"],
  "chart": "top-paid"
}
```

#### Get keyword rankings

```json
{
  "scrapeType": "keywords",
  "keywords": ["email marketing", "inventory management"]
}
```

***

Need this data outside of Apify, or coverage beyond the App Store? [ScoutLayer](https://scoutlayer.io) offers a direct REST/MCP API across many platforms — see the [docs](https://docs.scoutlayer.io) for details.

# Actor input Schema

## `scrapeType` (type: `string`):

Select what type of data to fetch from the Apple App Store.

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

Two-letter App Store storefront country code, e.g. "US". Applies to every scrape type. Defaults to the API's own default storefront if not set.

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

App Store app IDs or full URLs (e.g. "310633997" or "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"). Required for Scrape Type: App Profile.

## `reviewAppIds` (type: `array`):

App Store app IDs or full URLs to fetch reviews for. Required for Scrape Type: Reviews.

## `maxReviewPages` (type: `integer`):

Maximum number of review pages to fetch per app.

## `categories` (type: `array`):

App Store category slugs, matching Apple's own naming (e.g. "business", "productivity"). Required for Scrape Type: Category Rankings.

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

Which chart to fetch for Category Rankings.

## `keywords` (type: `array`):

Search keywords to fetch app rankings for, e.g. "email marketing". Required for Scrape Type: Keyword Rankings.

## Actor input object example

```json
{
  "scrapeType": "app",
  "country": "US",
  "appIds": [
    "310633997"
  ],
  "reviewAppIds": [
    "310633997"
  ],
  "maxReviewPages": 5,
  "categories": [
    "business"
  ],
  "chart": "top-free",
  "keywords": [
    "email marketing"
  ]
}
```

# Actor output Schema

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

URL of the dataset with the results

## `crawlStats` (type: `string`):

Statistics about the crawl process

# 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 = {
    "country": "US",
    "appIds": [
        "310633997"
    ],
    "reviewAppIds": [
        "310633997"
    ],
    "categories": [
        "business"
    ],
    "keywords": [
        "email marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scoutlayer/appstore-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 = {
    "country": "US",
    "appIds": ["310633997"],
    "reviewAppIds": ["310633997"],
    "categories": ["business"],
    "keywords": ["email marketing"],
}

# Run the Actor and wait for it to finish
run = client.actor("scoutlayer/appstore-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 '{
  "country": "US",
  "appIds": [
    "310633997"
  ],
  "reviewAppIds": [
    "310633997"
  ],
  "categories": [
    "business"
  ],
  "keywords": [
    "email marketing"
  ]
}' |
apify call scoutlayer/appstore-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scoutlayer/appstore-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/H8MsDvUqqFM5hEoFn/builds/tsdssLCHc9hHjZaCY/openapi.json
