# App Store Reviews Scraper — Apple App Reviews & Ratings (`hipersoft/appstore-reviews-scraper`) Actor

Scrape user reviews and star ratings from the Apple App Store by app ID or URL. Returns review text, title, rating, author, app version, votes, date and review link across any country. Public Apple feeds — no login, no API key.

- **URL**: https://apify.com/hipersoft/appstore-reviews-scraper.md
- **Developed by:** [hiper soft](https://apify.com/hipersoft) (community)
- **Categories:** Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / review scraped

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/platform/actors/running/actors-in-store#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

## App Store Reviews Scraper — Apple App Reviews & Ratings

Pull user reviews and star ratings straight from the Apple App Store. Give the Actor
any set of app IDs or App Store URLs and it returns **every review Apple exposes** —
title, full text, rating, author, app version, helpful-votes, date and a direct link
— for any country storefront. Public Apple feeds, so **no login and no API key**.

Perfect for **product feedback analysis, review monitoring, competitor research,
sentiment datasets, and release-quality tracking**.

### What you get per review

| Field | Notes |
|---|---|
| `rating` | 1–5 stars. |
| `title`, `text` | Review headline and full body. |
| `userName` | Reviewer's nickname. |
| `appVersion` | App version the review was left on — track quality across releases. |
| `voteCount`, `voteSum` | How many found the review helpful. |
| `updated` | Review date (ISO 8601). |
| `reviewUrl` | Direct link to the review. |
| `appName`, `developer`, `appAverageRating` | App context (when *Include app metadata* is on). |
| `appId`, `country` | Which app and storefront the review came from. |

### Input

```json
{
  "appIds": ["324684580", "https://apps.apple.com/us/app/id310633997"],
  "country": "us",
  "sortBy": "mostRecent",
  "maxReviewsPerApp": 0
}
```

- **appIds** — numeric app IDs or full App Store URLs, one per line.
- **country** — storefront code (`us`, `gb`, `de`, `fr`, `jp`, `br`, …). Reviews are per-country.
- **sortBy** — `mostRecent` or `mostHelpful`.
- **maxReviewsPerApp** — cap per app (`0` = all Apple exposes, ~500 per country).
- **includeAppMeta** — attach app name / developer / overall rating to each review.
- **maxConcurrency** — apps processed in parallel.
- **proxyConfiguration** — optional; only needed if you hit rate limits.

### Output (one row per review)

```json
{
  "appId": "324684580",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "reviewId": "14283108814",
  "userName": "musiclover42",
  "title": "Great app",
  "text": "Been using it for years…",
  "rating": 5,
  "appVersion": "9.1.62",
  "voteCount": 3,
  "updated": "2026-07-09T11:40:19-07:00",
  "reviewUrl": "https://itunes.apple.com/us/review?id=324684580"
}
```

### FAQ

**Do I need an API key or Apple account?**
No. The Actor reads Apple's public review feeds, so there's no login, no API key and no Apple Developer account required — just add app IDs or App Store URLs and run.

**How many reviews can I get per app?**
Apple's public feed exposes up to ~500 recent reviews per app per country. Set `maxReviewsPerApp` (0 = all Apple exposes), and run across several `country` storefronts to go deeper on a popular app.

**Is scraping the Apple App Store legal?**
The Actor collects only publicly available review data from the [Apple App Store](https://www.apple.com/app-store/) public feeds — the same content any visitor sees. Public data is generally collectible; use it in line with Apple's terms and applicable law.

**Does it collect emails or reviewer contact info?**
No. It captures the reviewer's nickname, rating, title, text, app version and helpful-votes, but no private contact details such as emails.

**What's the output format?**
One structured JSON row per review, optionally enriched with app metadata (name, developer, overall rating). Export as JSON, CSV or Excel for feedback analysis.

### Related Actors

Track product and brand sentiment across platforms with these companions:

- [Trustpilot Reviews Scraper](https://apify.com/hipersoft/trustpilot-reviews-scraper) — collect ratings, text and company replies from Trustpilot.
- [Google Maps Reviews Scraper](https://apify.com/hipersoft/google-maps-reviews) — pull reviewer names, ratings and text from Google Maps places.
- [Google Maps Scraper](https://apify.com/hipersoft/google-maps-scraper) — find local businesses by keyword and location for market research.
- [Website Content Crawler](https://apify.com/hipersoft/website-content-crawler) — extract clean page text for building review or NLP datasets.

### Notes

Apple's public review feed exposes up to ~500 recent reviews per app **per country**
— to go deeper on a popular app, run it across several `country` storefronts. Only
publicly available review data is collected.

# Actor input Schema

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

Apple App Store app IDs (e.g. "324684580") or full app URLs (e.g. "https://apps.apple.com/us/app/spotify/id324684580"). One per line.

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

Alternative to "App IDs": a request list of {"url": "..."} objects.

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

Two-letter App Store country code — reviews are per-storefront (e.g. us, gb, de, fr, jp, br).

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

Review order.

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

Cap reviews fetched per app (0 = all Apple exposes, up to ~500 per country).

## `includeAppMeta` (type: `boolean`):

Look up the app name, developer and overall rating and attach them to each review.

## `maxConcurrency` (type: `integer`):

How many apps to process in parallel.

## `proxyConfiguration` (type: `object`):

Apple now empties the reviews RSS for datacenter IPs, so a RESIDENTIAL proxy is enabled by default (required to get reviews). App metadata works without it.

## Actor input object example

```json
{
  "appIds": [
    "324684580"
  ],
  "country": "us",
  "sortBy": "mostRecent",
  "maxReviewsPerApp": 0,
  "includeAppMeta": true,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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": [
        "324684580"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/appstore-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 = { "appIds": ["324684580"] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/appstore-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    "324684580"
  ]
}' |
apify call hipersoft/appstore-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hipersoft/appstore-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ueqMJhfx3XtrxZ379/builds/j09HoPwhFcsSkjeTn/openapi.json