# Apple App Store Reviews and Ratings Scraper (`adaptive_nightmare/app-store-reviews-scraper`) Actor

Extract customer reviews, 1 to 5 star ratings, feedback titles, and app version numbers for any iOS app worldwide without proxies.

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

## Pricing

$0.95 / 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?

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

## Apple App Store Reviews and Ratings Scraper

Extract user reviews, 1-5 star ratings, review titles, feedback text, app versions, and sentiment scores for iOS apps across global storefronts.

### Features

- Searches by app name or direct numeric track ID.
- Supports regional storefronts across major international markets.
- Filters reviews by rating range to isolate negative feedback or high praise.
- Calculates automated sentiment scores and labels for customer reviews.
- Extracts reviewer usernames, review titles, full text, and app version numbers.
- Queries public Apple syndication feeds directly with zero proxy requirements.

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `appNameOrId` | String | `"ChatGPT"` | iOS App Name or numeric Track ID. |
| `country` | String | `"us"` | Two-letter country code (`us`, `gb`, `ca`, `de`, `fr`, etc.). |
| `sortBy` | String | `"mostRecent"` | `mostRecent` or `mostHelpful`. |
| `minRating` | Integer | `1` | Minimum star rating (1 to 5). |
| `maxRating` | Integer | `5` | Maximum star rating (1 to 5). Set to 2 to extract customer pain points. |
| `maxReviews` | Integer | `50` | Maximum number of customer reviews to collect. |

### Output format

`json
{
  "reviewId": "14692633353",
  "appId": "6448311069",
  "appName": "ChatGPT",
  "appDeveloper": "OpenAI OpCo, LLC",
  "rating": 5,
  "title": "Best AI Assistant",
  "author": "SecretLion1",
  "version": "1.2026.280",
  "content": "Always on target with my requests. The voice mode feels incredible.",
  "voteCount": 12,
  "sentimentScore": 0.82,
  "sentimentLabel": "POSITIVE",
  "country": "us",
  "appStoreUrl": "https://apps.apple.com/us/app/id6448311069",
  "scrapedAt": "2026-10-22T13:55:00.000Z"
}
`

### Use cases

- Customer pain point analysis: Filter 1-star reviews to identify recurring bugs and complaints.
- Competitive benchmarking: Compare customer sentiment across competing mobile apps.
- Release feedback: Track how new version updates affect user ratings over time.
- Feature planning: Identify requested features directly from user review comments.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

## `appNameOrId` (type: `string`):

The iOS App Name (e.g. 'ChatGPT', 'TikTok', 'Duolingo') or numeric App ID (e.g. '6448311069').

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

Two-letter ISO country code for the regional App Store storefront.

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

How to order customer reviews.

## `minRating` (type: `integer`):

Filter reviews with rating >= this value (1 to 5).

## `maxRating` (type: `integer`):

Filter reviews with rating <= this value (1 to 5). Set to 2 or 3 to isolate complaints & negative feedback.

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

Maximum number of customer reviews to collect.

## Actor input object example

```json
{
  "appNameOrId": "ChatGPT",
  "country": "us",
  "sortBy": "mostRecent",
  "minRating": 1,
  "maxRating": 5,
  "maxReviews": 50
}
```

# 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 = {
    "appNameOrId": "ChatGPT",
    "country": "us",
    "sortBy": "mostRecent",
    "minRating": 1,
    "maxRating": 5,
    "maxReviews": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/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 = {
    "appNameOrId": "ChatGPT",
    "country": "us",
    "sortBy": "mostRecent",
    "minRating": 1,
    "maxRating": 5,
    "maxReviews": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/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 '{
  "appNameOrId": "ChatGPT",
  "country": "us",
  "sortBy": "mostRecent",
  "minRating": 1,
  "maxRating": 5,
  "maxReviews": 50
}' |
apify call adaptive_nightmare/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/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/6b8HIpRbh8sA8Aetg/builds/XjPMJvsKcVaYdBdyE/openapi.json