# Apple App Store Reviews Scraper — $0.08/1K (`scrapesignal_labs/apple-app-store-reviews-scraper`) Actor

Export recent Apple App Store reviews across apps and countries with rating, date, keyword, version, and helpful-vote filters.

- **URL**: https://apify.com/scrapesignal\_labs/apple-app-store-reviews-scraper.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.08 / 1,000 app reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Scraper — $0.08 per 1,000 reviews

Turn public Apple App Store customer reviews into clean JSON, CSV, Excel, XML, or API-ready rows. Run several apps and storefront countries together, filter before delivery, and schedule the Actor to monitor fresh complaints after each release.

### Why use this Actor?

- **20% below the common $0.10/1K Store price**: pay $0.08 per 1,000 delivered reviews.
- **Multi-app and multi-country**: compare your app with competitors across up to 25 storefronts.
- **Useful filters**: rating, date, and keyword filters are applied before rows are saved and billed.
- **Product-ready fields**: version, helpful votes, rating, title, text, author, date, and stable review ID.
- **No Apple login or API key**: uses Apple's approved public RSS feed and public lookup endpoint.

### Input example

```json
{
  "apps": ["618783545", "https://apps.apple.com/us/app/notion/id1232780281"],
  "countries": ["us", "gb", "ca"],
  "maxReviewsPerAppCountry": 100,
  "ratings": ["1", "2", "3"],
  "sinceDate": "2026-08-01",
  "keywords": ["crash", "login", "subscription"]
}
```

Apple's recent-review feed exposes up to 500 reviews per app and storefront. The Actor reports coverage and per-pair failures in the run's `SUMMARY` record instead of silently hiding gaps.

### Pricing

Review rows cost **$0.00008 each ($0.08 per 1,000)** plus a tiny $0.00005 Actor-start event. Platform compute and storage are billed by Apify under the user's plan. Empty or failed sources do not create review-row charges.

### Responsible use

Use review content only when you have a lawful purpose. Apple states that customer reviews require reviewer permission before use in marketing materials. This Actor is not affiliated with or endorsed by Apple.

# Actor input Schema

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

Numeric Apple app IDs or full apps.apple.com URLs.

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

Two-letter country codes. Reviews differ by storefront.

## `maxReviewsPerAppCountry` (type: `integer`):

Apple's approved public RSS feed exposes at most 500 recent reviews per app/storefront.

## `ratings` (type: `array`):

Only save reviews with a selected rating.

## `sinceDate` (type: `string`):

Optional YYYY-MM-DD cutoff for incremental monitoring.

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

Only save reviews whose title or text contains any keyword.

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

Add app name, developer, bundle ID, current version, price, and rating summary.

## Actor input object example

```json
{
  "apps": [
    "618783545"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerAppCountry": 100,
  "ratings": [
    "1",
    "2",
    "3",
    "4",
    "5"
  ],
  "sinceDate": "",
  "keywords": [],
  "includeAppDetails": true
}
```

# Actor output Schema

## `dataset` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/apple-app-store-reviews-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/apple-app-store-reviews-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 '{}' |
apify call scrapesignal_labs/apple-app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/apple-app-store-reviews-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/MSbJh9VF6PoA7704q/builds/WBkiBXuq8pirfbLSL/openapi.json