# App Store Reviews Scraper – Apple iOS, Multi-Country (`forevertools/apple-app-store-reviews`) Actor

App Store reviews scraper: iOS/iPhone app reviews and ratings from many countries — rating, title, text, app version, date, votes — plus app details and per-country rating summary. User feedback for sentiment analysis, ASO (app store optimization) & review monitoring. Input app IDs, URLs or names.

- **URL**: https://apify.com/forevertools/apple-app-store-reviews.md
- **Developed by:** [Forever Tools](https://apify.com/forevertools) (community)
- **Categories:** Marketing, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.10 / 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

## Apple App Store Reviews Scraper (Multi-Country)

Get **iOS App Store reviews** for any app — from **many countries in one run** — as clean rows:
star rating, title, full text, app version, date, author and helpful votes. Also returns **app details and the
official average rating / rating count per country**.

Input can be an **App Store ID**, an **App Store URL** or just the **app name**.

Great for: review monitoring, competitor research, finding bugs & feature requests after a release, sentiment
analysis, feeding reviews to an LLM / AI agent, and localization QA (what do German users complain about?).

### Scrape App Store reviews from many countries

Each country has its own App Store storefront with its own reviews, so a US run does not include UK or German reviews.
Pass a list of two-letter country codes (`us`, `gb`, `de`, `fr`, `jp`, ...) or `"all"` to cover the 40 largest App Store
markets, and the actor fetches every app in every country and returns them in a single dataset. Each row carries the
`country` so you can filter or group by market.

### Use cases

- **Review monitoring after a release:** schedule a run with `sinceDate` and `sortBy: "mostRecent"` to see only new reviews.
- **Collect complaints and bug reports:** set `maxRating` to 2 to keep 1 and 2 star reviews only.
- **Competitor research:** run the same countries on your app and competitors, then compare ratings and themes.
- **Feature requests and sentiment analysis:** export the review text to a spreadsheet, or feed it to an LLM or AI agent.
- **Localization QA:** see what users in Germany, France or Japan say about translations and local features.
- **Build your own review archive:** Apple only exposes recent history, so scheduled runs keep the reviews you would otherwise lose.

### Input example

```json
{
  "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "notion", "284882215"],
  "countries": ["us", "gb", "de"],
  "sortBy": "mostRecent",
  "maxRating": 2,
  "sinceDate": "2026-09-01"
}
```

- `apps` — App Store IDs (`284882215` or `id284882215`), App Store URLs, or app names (the top search match is used, so prefer an ID or URL for exact results).
- `countries` — two-letter codes, default `["us"]`. Use `"all"` for the 40 largest markets.
- `sortBy` — `mostRecent` (default) or `mostHelpful`.
- `maxReviewsPerCountry` — 1 to 500 per app, country and sort order (default 500).
- `minRating` / `maxRating` — star filters, 1 to 5.
- `sinceDate` — ISO date; older reviews are skipped (works best with most recent sorting).

### Output (one row per review)

```json
{
  "appId": "570060128",
  "appName": "Duolingo: Language Lessons",
  "country": "us",
  "reviewId": "14599684784",
  "rating": 1,
  "title": "Critical bug fix needed",
  "text": "If you complete a daily quest while cell service is limited ...",
  "appVersion": "7.141.1",
  "date": "2026-09-27T14:09:19.000Z",
  "author": "Danny, from Texas",
  "voteSum": 0,
  "voteCount": 0
}
```

Rows also include `authorUrl`. The example is shortened. Download the dataset as JSON, CSV or Excel from the Apify console.

### App details and average rating per country

The key-value store record **APP\_SUMMARY** holds, per app and country: name, developer, bundle ID, genre,
price, current version and release date, **average rating, rating count** (also for the current version), content rating,
minimum OS version, and how many reviews were returned and scanned, plus the rating distribution of the returned reviews.
The average rating and rating count are Apple's own figures for that storefront, not calculated from the reviews you download.

### Pricing

**$0.0001 per review** ($0.10 per 1,000 reviews). You're only charged for reviews that pass your filters. No subscription.
Examples: 1,000 reviews = $0.10, 10,000 reviews = $1.00, and a full 500-review pull of one app in 10 countries (5,000 reviews) = $0.50.

### Limits & notes

- Data comes from Apple's public customer-review feed and iTunes Lookup/Search API. Apple exposes at most
  **500 reviews per app, per country, per sort order** (10 pages × 50). To get more history, run with both
  sort orders and more countries, or schedule the actor daily/weekly with `sinceDate` to build your own archive.
- Reviews are per storefront: a US run doesn't include UK reviews.
- Only iOS App Store reviews are covered, not Google Play or Mac-only listings.
- Reviews are returned in the language they were written in; there is no translation.
- Apple's endpoints rate-limit bursts, so the actor retries and paces requests; very large multi-country runs take longer.
- Built and maintained with AI assistance. Problems or requests: use the Issues tab.

### FAQ

**How do I download App Store reviews for an app?**
Enter the App Store ID, URL or name in `apps`, choose countries, and run. You get one row per review with rating, title, text, version, date and author.

**How many App Store reviews can I get per app?**
Apple's public feed exposes up to 500 per app, country and sort order. Add countries, use both sort orders, or schedule regular runs with `sinceDate` to collect more over time.

**Can I get only negative reviews?**
Yes. Set `maxRating` to 2 (or 1) to collect complaints only, and `minRating` to 4 for praise only.

**Can I scrape reviews from countries other than the US?**
Yes. List any App Store country codes, or use `"all"` for the 40 largest markets. Each row shows its `country`.

**How do I find an app's App Store ID?**
It is the number after `id` in the app's URL, for example `id570060128`. You can also paste the URL or the app name.

**Can I monitor new reviews automatically?**
Yes. Create a task with `sinceDate`, add an Apify schedule, and send the dataset to Zapier, Make or n8n.

### Related tools

Other actors by the same developer (same flat pay-per-result pricing, no subscription):

- [Article Extractor – Clean Text & Markdown for LLM/RAG](https://apify.com/forevertools/article-extractor)
- [Company Jobs Scraper: Workday, Greenhouse, Lever, Ashby](https://apify.com/forevertools/ats-company-jobs)
- [Bulk Domain Checker — WHOIS/RDAP, DNS, SPF/DMARC, SSL Expiry](https://apify.com/forevertools/domain-whois-dns-ssl)
- [Bulk PageSpeed Insights & Core Web Vitals Checker](https://apify.com/forevertools/pagespeed-core-web-vitals)
- [PDF to Text Extractor (Bulk, with Metadata)](https://apify.com/forevertools/pdf-to-text-extractor)
- [Website SEO Audit Crawler](https://apify.com/forevertools/website-seo-audit)
- [Sitemap Extractor & Bulk URL Status Checker](https://apify.com/forevertools/sitemap-url-status-checker)
- [Website Tech Stack Detector (CMS, Framework, Analytics)](https://apify.com/forevertools/website-tech-stack-detector)
- [Website Screenshot – Bulk Full Page PNG, JPEG & PDF](https://apify.com/forevertools/website-screenshot)

### Integrations

Run it from the Apify API, a schedule, or no-code tools: the Apify apps for **Zapier**, **Make** and **n8n** can start any public actor ("Run Actor") and read its dataset. AI agents can call it through the **Apify MCP server**.

# Actor input Schema

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

App Store IDs (284882215 or id284882215), App Store URLs (https://apps.apple.com/us/app/facebook/id284882215) or app names (the top search match is used).

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

Two-letter App Store country codes (us, gb, de, fr, jp, ...). Each country has its own reviews. Use "all" for the 40 largest App Store markets.

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

Which reviews to fetch first.

## `maxReviewsPerCountry` (type: `integer`):

Apple's public feed exposes up to 500 reviews per app, country and sort order.

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

Only return reviews with at least this many stars.

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

Only return reviews with at most this many stars (e.g. 2 to collect complaints).

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

ISO date (e.g. 2026-09-01). Older reviews are skipped (works best with Most recent).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "sortBy": "mostRecent",
  "maxReviewsPerCountry": 500,
  "minRating": 1,
  "maxRating": 5
}
```

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

// Run the Actor and wait for it to finish
const run = await client.actor("forevertools/apple-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"],
    "countries": [
        "us",
        "gb",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("forevertools/apple-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"
  ],
  "countries": [
    "us",
    "gb"
  ]
}' |
apify call forevertools/apple-app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,forevertools/apple-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/qUfykQ5qs5zIdRhPQ/builds/9fjAcmRECsrHgEYBi/openapi.json