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

Search the Apple App Store, pull full app details, or collect recent customer reviews - from Apple's public endpoints, no account, API key, or proxy.

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

## Pricing

from $1.00 / 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/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** searches the App Store, pulls **full app details**, and collects **recent customer reviews** — straight from Apple's public endpoints, with **no account, API key, or proxy**.

### What can the App Store scraper do?

- **Search the App Store by keyword** — get titles, developers, ratings, prices, and categories for matching apps.
- **Get full app details** — for any app ID or App Store URL: rating and rating count, version, release and update dates, size, content rating, category, developer, icon, and description.
- **Scrape App Store reviews** — recent customer reviews for any app, with star rating, title, text, app version, and helpful-vote counts.
- **Track ratings over time** — run on a schedule and diff to watch an app's score and review volume.
- **Compare competitors** — search a niche and pull details for every app in it at once.
- **Work in any storefront** — set the country code for US, UK, German, and other App Stores.

### Modes

| Mode | Needs | Returns |
|------|-------|---------|
| `search` | `term` | matching apps with core fields |
| `app` | `appIds` | full details per app |
| `reviews` | `appIds` | recent reviews (up to 10 pages ≈ 500 per app) |

### Input examples

Search:

```json
{ "mode": "search", "term": "budget planner", "limit": 25, "country": "us" }
```

Reviews for an app:

```json
{ "mode": "reviews", "appIds": ["https://apps.apple.com/us/app/facebook/id284882215"], "pages": 3 }
```

### Output

**App rows** include: `app_id`, `title`, `developer`, `bundle_id`, `price`, `currency`, `rating`, `rating_count`, `category`, `content_rating`, `version`, `released`, `updated`, `size_bytes`, `icon`, `url`, `description`.

**Review rows** include: `app_id`, `review_id`, `author`, `title`, `content`, `rating`, `app_version`, `vote_sum`, `vote_count`, `updated`.

### Notes

- Apple's review feed is capped at 10 pages per app (about 500 recent reviews).
- App IDs may be given as numbers or full App Store URLs (the `id########` part is read automatically).
- The scraper reads public product and review data; it collects no private personal data.

# Actor input Schema

## `mode` (type: `string`):

search = find apps by keyword. app = full details for app IDs. reviews = recent reviews for app IDs.

## `term` (type: `string`):

Keyword to search for (search mode).

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

App Store numeric IDs or app URLs (app and reviews modes).

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

Two-letter App Store country code, e.g. us, gb, de.

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

How many apps to return in search mode (1-200).

## `entity` (type: `string`):

software = iPhone apps, softwareIpad = iPad, macSoftware = Mac.

## `pages` (type: `integer`):

How many pages of reviews to fetch per app (1-10, ~50 reviews per page).

## `sort` (type: `string`):

Order reviews by newest or most helpful.

## Actor input object example

```json
{
  "mode": "search",
  "term": "budget planner",
  "appIds": [
    "https://apps.apple.com/us/app/facebook/id284882215"
  ],
  "country": "us",
  "limit": 25,
  "entity": "software",
  "pages": 3,
  "sort": "mostRecent"
}
```

# Actor output Schema

## `results` (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 = {
    "term": "budget planner",
    "appIds": [
        "https://apps.apple.com/us/app/facebook/id284882215"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cypherstone/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 = {
    "term": "budget planner",
    "appIds": ["https://apps.apple.com/us/app/facebook/id284882215"],
}

# Run the Actor and wait for it to finish
run = client.actor("cypherstone/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 '{
  "term": "budget planner",
  "appIds": [
    "https://apps.apple.com/us/app/facebook/id284882215"
  ]
}' |
apify call cypherstone/apple-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cypherstone/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/P0vXYUmO22wzZivTA/builds/j0a4pvIXgnDY1Uilq/openapi.json