# App Store Reviews Scraper (iOS + Mac) (`goodnight-dreams/app-store-reviews`) Actor

Get the latest customer reviews, ratings and version history for any iOS or Mac app by App Store ID or by searching its name, across any country storefront. Clean JSON, no login, no proxies needed.

- **URL**: https://apify.com/goodnight-dreams/app-store-reviews.md
- **Developed by:** [James Goodnight](https://apify.com/goodnight-dreams) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Store Reviews Scraper (iOS + Mac)

Pull the most recent customer reviews for any iOS, iPadOS or Mac app, from any country storefront,
as clean JSON. Give it App Store IDs or just app names. No login, no proxies, no Apple developer
account. Also returns the app's metadata (developer, price, average rating, rating count, version,
release notes) so one run gives you everything for competitor research, ASO, sentiment analysis,
or feeding an AI agent.

### What you get

One record per review: `rating`, `title`, `content`, `author`, `version`, `updated`, `voteSum`,
`voteCount`, plus `appId` and `country`. Optionally one `type: "app"` record per app with metadata.

### Limits

Apple exposes the 500 most recent reviews per app per storefront. Run it on a schedule to build a
full history; reviews carry a stable `reviewId` so deduplication is trivial.

### Pricing

Pay per event: **$0.002 per review** ($2 per 1,000). App metadata records are free. A 10-app,
3-country competitor sweep at 100 reviews each is about $6.

### Example input

```json
{ "apps": ["310633997", "Notion"], "countries": ["us", "gb"], "maxReviewsPerApp": 200 }
```

# Actor input Schema

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

App Store IDs (numbers like 6737164760) or app names to search for. Names resolve to the top search result.

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

Two-letter storefront codes.

## `platform` (type: `string`):

Which store to search when an app is given by name instead of ID.

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

Apple exposes up to 500 most-recent reviews per app per storefront (10 pages of 50).

## `includeAppInfo` (type: `boolean`):

Adds one record per app with name, developer, price, average rating, rating count, current version and release notes.

## Actor input object example

```json
{
  "apps": [
    "310633997",
    "Notion"
  ],
  "countries": [
    "us",
    "gb",
    "de"
  ],
  "platform": "software",
  "maxReviewsPerApp": 100,
  "includeAppInfo": true
}
```

# Actor output Schema

## `reviews` (type: `string`):

Dataset with one record per review, plus one metadata record per app.

# 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 = {
    "apps": [
        "310633997",
        "Notion"
    ],
    "countries": [
        "us",
        "gb",
        "de"
    ]
};

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

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

```

## MCP server setup

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

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/v9Q4IQw7JIaZGrpDS/builds/RSD5Bmz3EfjxOvXyY/openapi.json