# Apple App Store Reviews & App Details Scraper (175 countries) (`arthursbuisness/apple-app-store-reviews-apps`) Actor

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

## Pricing

$0.40 / 1,000 app store reviews

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 Reviews & App Details Scraper

Get **App Store customer reviews** and **app metadata** for any iOS/iPadOS/macOS app, in any of Apple's 175 storefronts, in one clean dataset. Uses Apple's own public iTunes endpoints (customer-reviews RSS, lookup, search and Top Charts) — no login, no proxies, no browser, so runs are fast, cheap and reliable.

Typical uses: app-review monitoring and sentiment analysis, competitor research, ASO, customer-support triage, feeding reviews into LLM/RAG pipelines, market research on Top Charts.

### What you get

Every review is one dataset row (`type: "review"`):

| field | description |
|---|---|
| `app_id`, `app_name`, `country` | App and storefront the review comes from |
| `review_id` | Apple's review ID (stable, for deduplication) |
| `rating` | 1–5 stars |
| `title`, `text` | Review title and full text |
| `version` | App version the review was written for |
| `author`, `author_url` | Reviewer's display name and profile link |
| `date` | ISO 8601 timestamp with storefront time zone |
| `vote_sum`, `vote_count` | Helpfulness votes |
| `url` | Link to the review page |

With **Include app details** (default on) you also get one `type: "app"` row per app and country:

`app_name, bundle_id, url, developer, developer_id, developer_url, seller, price, currency, formatted_price, average_rating, rating_count, current_version_rating, current_version_rating_count, version, release_date, current_version_release_date, release_notes, primary_genre, genres, content_rating, minimum_os, size_bytes, languages, supported_devices_count, screenshots, icon_url, description`

Apps that do not exist in a storefront produce a `type: "error"` row (free) instead of failing the run.

Download as JSON, CSV or Excel, or send rows to Google Sheets, Make, Zapier, webhooks or your own code via the Apify API/integrations.

### Input

| field | default | meaning |
|---|---|---|
| `appIds` | — | App Store IDs (`310633997`), bundle IDs (`net.whatsapp.WhatsApp`) or App Store URLs |
| `appUrls` | — | More App Store URLs (merged with `appIds`) |
| `searchTerm` | — | Keyword search; the top `maxApps` results are scraped |
| `topChart` | none | `top-free` or `top-paid`: scrape the chart's apps in every selected country |
| `topChartLimit` | 25 | Apps per chart (max 100) |
| `countries` | `["us"]` | Storefront codes: `us, gb, de, fr, nl, es, it, jp, br, in, au, ca …` |
| `maxReviewsPerApp` | 100 | Per app **per country**, max 500 (Apple's feed limit) |
| `sortBy` | `mostRecent` | or `mostHelpful` |
| `since` | — | Skip reviews older than `YYYY-MM-DD` |
| `includeAppDetails` | true | Add one app-details row per app and country |

Example:

```json
{
  "appIds": ["310633997", "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"],
  "countries": ["us", "gb", "de"],
  "maxReviewsPerApp": 200,
  "since": "2026-01-01"
}
```

Runs in seconds: about 2 requests per second, 50 reviews per request.

### Pricing

Pay per event: **$0.0004 per stored row** ($0.40 per 1,000 reviews). Each review row and each app-details row counts as one event. You are only charged for rows that were actually written to the dataset; error rows and failed requests are free. Apify platform usage (a few seconds of compute per run) is billed separately by Apify.

### Limitations — please read

- Apple's public review feed returns **at most 500 reviews per app per storefront** (10 pages × 50), sorted by most recent or most helpful. To go deeper, scrape more countries or run on a schedule and deduplicate on `review_id`.
- The feed does **not** include developer responses; `vote_sum`/`vote_count` are the helpfulness votes shown by Apple.
- Review `date` is in the storefront's local time zone (as delivered by Apple).
- `searchTerm` uses the first country in `countries`.
- Endpoints are Apple's official public JSON feeds; if Apple rate-limits (HTTP 429/403) the actor waits and retries a few times, then records an error row.

### Related

Data comes only from public Apple endpoints. This actor is not affiliated with Apple.

# Actor input Schema

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

Apps to scrape. Accepts numeric App Store IDs (e.g. 310633997), bundle IDs (e.g. net.whatsapp.WhatsApp) or full App Store URLs (https://apps.apple.com/us/app/whatsapp-messenger/id310633997).

## `appUrls` (type: `array`):

Additional App Store URLs; merged with 'App IDs'. Kept as a separate field for Make/Zapier mappings.

## `searchTerm` (type: `string`):

Find apps by keyword in the first selected country and scrape them (up to 'Max apps from search/charts').

## `topChart` (type: `string`):

Also scrape the apps in a Top Chart for each selected country: 'top-free' or 'top-paid'. Leave empty to skip.

## `topChartLimit` (type: `integer`):

How many apps to take from each Top Chart (1–100).

## `maxApps` (type: `integer`):

Maximum number of apps to take from the keyword search (1–200).

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

Two-letter storefront codes, e.g. us, gb, de, nl, fr, jp, br, in. Reviews and app details are fetched for every app in every country listed.

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

Up to 500 (Apple's RSS feed limit: 10 pages × 50 reviews per storefront). Set 0 to get app details only.

## `sortBy` (type: `string`):

'mostRecent' (newest first, default) or 'mostHelpful'.

## `since` (type: `string`):

Skip reviews older than this date. With 'Most recent' sorting, paging stops as soon as older reviews appear, saving requests.

## `includeAppDetails` (type: `boolean`):

Add one 'app' row per app and country with name, developer, price, average rating, rating count, version, genre, size, description, icon etc.

## Actor input object example

```json
{
  "appIds": [
    "310633997"
  ],
  "topChart": "",
  "topChartLimit": 25,
  "maxApps": 10,
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 100,
  "sortBy": "mostRecent",
  "includeAppDetails": true
}
```

# Actor output Schema

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

All items as JSON

## `resultsCsv` (type: `string`):

Same dataset as CSV — open in Excel/Sheets

# 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 = {
    "appIds": [
        "310633997"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("arthursbuisness/apple-app-store-reviews-apps").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 = {
    "appIds": ["310633997"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("arthursbuisness/apple-app-store-reviews-apps").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 '{
  "appIds": [
    "310633997"
  ],
  "countries": [
    "us"
  ]
}' |
apify call arthursbuisness/apple-app-store-reviews-apps --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,arthursbuisness/apple-app-store-reviews-apps"
        }
    }
}

```

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/nqubah5rDE66HYRvc/builds/6PYtph4AMtQprd2YD/openapi.json