# Apple App Store Scraper — Apps, Reviews & Charts (`thenetaji/apple-app-store-scraper`) Actor

Every App Store dataset behind one mode picker: the full catalog record for an app ID or link, ranked keyword search, a publisher's portfolio, recent public reviews, or the US top-free chart. Each mode takes its own input and returns that dataset's fields.

- **URL**: https://apify.com/thenetaji/apple-app-store-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Developer tools, Marketing, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.06 / 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?

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

## Apple App Store Scraper

One Actor for the whole App Store surface. Pick a mode with `scraperType` and the run produces catalog records, ranked search results, a publisher's portfolio, recent reviews, or the US top-free chart.

| `scraperType` | What a row is | What you supply |
| --- | --- | --- |
| `appDetail` | One complete catalog record | `app_ids` |
| `searchApps` | One ranked app per result | `queries` |
| `developerApps` | One app from a publisher's catalog | `developer_ids` |
| `reviews` | One recent public review | `app_ids` |
| `charts` | One ranked chart entry | nothing |

Fill in the section for the mode you picked and leave the others alone. `country` and `maxItems` sit at the bottom because almost every mode reads them.

### App details

```json
{
  "scraperType": "appDetail",
  "app_ids": [
    "324684580",
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "country": "US",
  "maxItems": 0
}
```

Numeric IDs and `apps.apple.com` links can be mixed, and duplicates are read once. A US lookup returned this subset:

```json
{
  "app_id": "324684580",
  "name": "Spotify: Music and Podcasts",
  "bundle_id": "com.spotify.client",
  "developer_id": "324684583",
  "developer_name": "Spotify",
  "formatted_price": "Free",
  "currency": "USD",
  "average_rating": 4.77569,
  "rating_count": 41657897,
  "primary_genre": "Music",
  "version": "9.1.76",
  "country": "US"
}
```

The full record also carries `seller_name`, `description`, `price`, `genres`, `release_date`, `current_version_release_date`, `release_notes`, `minimum_os_version`, `content_advisory_rating`, `languages`, `supported_devices`, `file_size_bytes`, `artwork_url`, `screenshots`, `ipad_screenshots`, `appletv_screenshots`, `app_store_url`, `developer_url`, and `seller_url`.

### Keyword search and developer portfolios

```json
{
  "scraperType": "searchApps",
  "queries": ["spotify", "weather radar"],
  "country": "US",
  "maxItems": 100
}
```

Search rows are the same complete catalog record as `appDetail`, plus `search_query` tying each row to the phrase that found it. Apple returns at most 200 results for one search request, so `maxItems: 0` removes the Actor-side cap without extending a query past that ceiling.

Swap `queries` for `developer_ids` and set `scraperType` to `developerApps` for a publisher's catalog instead; those rows carry `source_developer_id`.

### Reviews

```json
{
  "scraperType": "reviews",
  "app_ids": ["324684580"],
  "country": "US",
  "maxReviews": 100
}
```

```json
{
  "app_id": "324684580",
  "country": "US",
  "review_id": "14455499988",
  "author_name": "Marilyn in FL",
  "updated_at": "2026-08-21T09:45:22-07:00",
  "rating": 5,
  "review_version": "9.1.76",
  "review_title": "Spotify Playlists",
  "helpful_vote_count": 0,
  "helpful_vote_sum": 0
}
```

Rows can also carry `author_url` and the full review `text`; those are null when the feed omits them. Developer replies are not part of this output.

### The chart

```json
{
  "scraperType": "charts",
  "maxItems": 100
}
```

Chart rows carry `rank`, `app_id`, `name`, `developer_id`, `developer_name`, `artwork_url`, `genres`, `release_date`, `kind`, `app_store_url`, and `country`.

### Things worth knowing before the first run

**Does `country` change the chart?** No. The chart mode always reads the United States top-free listing, whatever `country` is set to. The dedicated [Apple App Store Charts Scraper](https://apify.com/thenetaji/apple-app-store-charts-scraper) pins the field to a US-only dropdown; a shared form cannot, because the other four modes accept any storefront.

**How many reviews can one app return?** At most 500 per app and country, and only from the recent window — this is not complete review history. `maxReviews` accepts 1–500 and applies per app, so two apps at 100 can return 200 rows. Schedule repeated runs and deduplicate on `review_id` for an ongoing monitor.

**Why is `maxItems` 100 rather than 0?** The modes disagree about the right default, so the shared one ships. Set `0` when you are feeding a long `app_ids` or `developer_ids` list. In the chart mode the published snapshot tops out at 100 entries regardless, so `0` still returns at most 100 rows.

**One mode per run, or several?** One. `scraperType` selects a single dataset and the other sections are ignored for that run.

**What happens when a lookup fails?** An ID missing from the selected `country` is skipped and the rest of the list continues. A developer with no apps in that storefront, or an app with an empty review feed, finishes successfully with no rows. Optional fields stay null or empty when Apple does not publish them, and availability is storefront-specific — an empty result in one `country` does not prove the app or publisher is gone elsewhere.

Prefer a narrower form? Every mode also ships on its own: [Apple App Store App Scraper](https://apify.com/thenetaji/apple-app-store-app-scraper), [Apple App Store Search Scraper](https://apify.com/thenetaji/apple-app-store-search-scraper), [Apple App Store Developer Apps Scraper](https://apify.com/thenetaji/apple-app-store-developer-apps-scraper), [Apple App Store Reviews Scraper](https://apify.com/thenetaji/apple-app-store-reviews-scraper), and [Apple App Store Charts Scraper](https://apify.com/thenetaji/apple-app-store-charts-scraper).

# Actor input Schema

## `scraperType` (type: `string`):

Choose the dataset for this run, then fill in the section for that mode below.

## `app_ids` (type: `array`):

Numeric App Store IDs or apps.apple.com links. Add one per line; links and IDs can be mixed.

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

Keywords or phrases to search for. Each query is searched separately.

## `developer_ids` (type: `array`):

Numeric App Store developer IDs. Add one per line.

## `maxReviews` (type: `integer`):

Maximum recent reviews to save for each app, from 1 to 500.

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

Two-letter App Store storefront code.

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

Maximum records to save across the run. Set 0 for no limit.

## Actor input object example

```json
{
  "scraperType": "appDetail",
  "app_ids": [
    "324684580",
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "queries": [
    "weather radar",
    "photo editor"
  ],
  "developer_ids": [
    "324684583"
  ],
  "maxReviews": 50,
  "country": "US",
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "scraperType": "appDetail",
    "app_ids": [
        "324684580"
    ],
    "queries": [
        "weather radar"
    ],
    "developer_ids": [
        "324684583"
    ],
    "maxReviews": 50,
    "country": "US",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/apple-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 = {
    "scraperType": "appDetail",
    "app_ids": ["324684580"],
    "queries": ["weather radar"],
    "developer_ids": ["324684583"],
    "maxReviews": 50,
    "country": "US",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/apple-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 '{
  "scraperType": "appDetail",
  "app_ids": [
    "324684580"
  ],
  "queries": [
    "weather radar"
  ],
  "developer_ids": [
    "324684583"
  ],
  "maxReviews": 50,
  "country": "US",
  "maxItems": 20
}' |
apify call thenetaji/apple-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/apple-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/CtPWUgbVChQPpVazT/builds/GjQRAwgtEFTqVXTQW/openapi.json