# Apple App Store Reviews Scraper (`juicy_fillet/app-store-reviews`) Actor

Download the latest Apple App Store reviews for any app in any country: rating, title, text, app version and author. Up to 500 reviews per country.

- **URL**: https://apify.com/juicy_fillet/app-store-reviews.md
- **Developed by:** [Xander Yushchak](https://apify.com/juicy_fillet) (community)
- **Categories:** E-commerce, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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 Scraper

Download **Apple App Store reviews** for any app in any country: star rating, title, review text, app version, date, author and helpful votes, plus the app's name, developer and average rating.

### What you can use it for

- **Product teams:** read every 1 and 2-star review after a release.
- **Competitor research:** what users love and hate about rival apps.
- **Sentiment analysis and AI summaries** of feedback.
- **ASO agencies:** monitor client apps across countries.

### How it works

The actor reads Apple's public customer-reviews feed (up to 500 most recent or most helpful reviews per app and country) and the iTunes lookup API for app details.

### Input example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us",
    "gb",
    "ca"
  ],
  "ratings": [
    "1",
    "2"
  ],
  "maxItems": 1000
}
```

Every option is described in the Input tab. Set **Max results** to control how much you pay for.

### Output example

```json
{
  "appId": "570060128",
  "appName": "Duolingo: Language Lessons",
  "developer": "Duolingo",
  "country": "US",
  "reviewId": "14623824856",
  "rating": 5,
  "title": "Aprendizaje",
  "text": "Es muy bueno porque vas a tu nivel y puedes practicar en cada etapa. También me gusta que enseña cuando uno se equivoca porqué fue el error. De esa manera no...",
  "appVersion": "7.142.0",
  "date": "2026-10-03T11:30:48-07:00",
  "author": "example_user",
  "authorUrl": "https://itunes.apple.com/us/reviews/id000000000",
  "helpfulVotes": 0,
  "totalVotes": 0,
  "appAverageRating": 4.72297,
  "appRatingCount": 5486907,
  "appUrl": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128?uo=4"
}
```

Download results as JSON, CSV, Excel or HTML, or connect them to Google Sheets, Zapier, Make or your own code through the Apify API.

### How to use it

1. Click **Try for free** (new Apify accounts get monthly free credit).
2. Fill in the input, for example to get the latest 1-star reviews of a competitor's app.
3. Click **Start** and download the results as Excel, CSV, JSON or HTML, or open them in Google Sheets.

### How much does it cost?

You pay only for results: **$0.25 per 1,000 App Store reviews** (about $0.03 for 100), plus a fraction of a cent per run. Set **Max results** to cap your spend. Apify's free plan credit covers a lot of test runs.

### Integrations and API

Use it as an AppFollow or AppTweak alternative for raw review exports. Run it on a schedule and send new results to Google Sheets, Slack, email, Zapier, Make, n8n or your own webhook, or call it from any language through the Apify API. It also works as a tool for AI agents through Apify's MCP server.

### Scheduling

Use Apify Schedules to run the actor daily or weekly and get only the latest records, for example with **Days back** set to 1 or 7.

### FAQ

**Why at most 500 reviews per country?**

That is the limit of Apple's public feed. Add more countries to get more reviews.

**Do I need an Apple account?**

No.

**Something broken or missing?**

Open an issue in the Issues tab and it will be fixed.

# Actor input Schema

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

App Store URLs or numeric app IDs, e.g. https://apps.apple.com/us/app/facebook/id284882215 or 284882215.

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

2-letter App Store country codes. Each country has its own reviews (us, gb, ca, au, de, fr, jp...).

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

Order of results.

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

Only keep these star ratings, e.g. 1 and 2 for complaints.

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

Keep reviews mentioning any of these words.

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

Apple's feed returns at most 500 per app and country.

## `maxItems` (type: `integer`):

Stop after this many results. You only pay for results saved.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us"
  ],
  "sortBy": "mostRecent",
  "maxReviewsPerApp": 500,
  "maxItems": 1000
}
```

# Actor output Schema

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

All results saved by this run, in the default dataset.

# 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": [
        "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("juicy_fillet/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": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"] }

# Run the Actor and wait for it to finish
run = client.actor("juicy_fillet/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": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ]
}' |
apify call juicy_fillet/app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,juicy_fillet/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/sGk68SOdCbPd4KVw5/builds/ZNgg3yhMdUmrzyZk8/openapi.json