# 📱 App Store Reviews Scraper | iOS Ratings (`antique_sundew/appstore-reviews-scraper`) Actor

Scrape Apple App Store iOS app customer reviews, star ratings, review dates, version numbers, and developer responses. Export to CSV, JSON, Excel.

- **URL**: https://apify.com/antique\_sundew/appstore-reviews-scraper.md
- **Developed by:** [Alexandru Afanasiuc](https://apify.com/antique_sundew) (community)
- **Categories:** Developer tools, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 review scrapeds

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 — Ratings, Text & Versions by Country

Fetch **Apple App Store customer reviews** as structured data. Point it at app IDs (or a search term), pick storefront countries, and get clean JSON/CSV with star ratings, review titles and text, app versions, helpful votes and dates — **with reviewer identity deliberately omitted**.

### Why use this scraper

- **Zero personal data** — reviewer names and profile URIs are stripped before the row is written. You get the opinion, not the person; nothing GDPR-relevant is stored.
- **Per-country storefronts** — the same app's reviews differ by country; fetch `us`, `gb`, `de`, `fr` side by side, each row stamped with its storefront.
- **Rating filters** — `minRating`/`maxRating` fetch only the 1–2★ complaints (or only the praise) without paying for the rest.
- **Search mode** — no app ID? Give a `searchTerm` and it resolves the top matching apps first.
- **App versions included** — tie complaints to the release that caused them.
- **Pure HTTP** — fast, cheap, no browser.

### What data you get

```json
{
  "reviewId": "9876543210",
  "appId": "1234567890",
  "appName": "Example App",
  "country": "us",
  "rating": 2,
  "title": "Broken since the update",
  "text": "Version 5.2 crashes on launch on my iPhone 15...",
  "appVersion": "5.2",
  "updatedAt": "2026-08-03T14:22:00-07:00",
  "voteSum": 18,
  "voteCount": 21,
  "appReviewsUrl": "https://apps.apple.com/us/app/id1234567890",
  "scrapedAt": "2026-08-11T10:00:00.000Z"
}
```

Fields Apple does not publish are `null` — this Actor never invents data.

### How to run it

1. Set `appIds` (numeric Apple IDs or App Store URLs) — or a `searchTerm` instead.
2. Pick `countries` (default `["us"]`).
3. Optionally filter with `minRating`/`maxRating` and cap with `maxReviewsPerCountry`.
4. Click **Start** and export the dataset as JSON, CSV or Excel.

Works out of the box: the default input runs successfully with no changes.

### Input parameters

| Field | Type | Default | Description |
|---|---|---|---|
| `appIds` | array | — | Apple app IDs or store URLs. |
| `searchTerm` | string | — | Alternative: resolve apps by search. |
| `maxAppsFromSearch` | integer | `5` | Apps to take from search results. |
| `countries` | array | `["us"]` | Storefront country codes. |
| `sortBy` | string | `mostRecent` | Sort order. |
| `maxReviewsPerCountry` | integer | `500` | Cap per app+country pair. |
| `minRating` / `maxRating` | integer | — | Keep only this star band. |

### Pricing

**$1.00 per 1,000 reviews** (pay per event, no subscription). Examples:

- 500 reviews → **$0.50**
- 5,000 reviews → **$5.00**
- Zero results → **$0.00**.

### Use cases

- **Release monitoring** — pull 1–2★ reviews after each release, grouped by `appVersion`, and find what broke.
- **Competitor analysis** — complaint themes and rating distributions across rival apps and countries.
- **Localization QA** — compare sentiment per storefront to spot market-specific problems.
- **ML datasets** — labelled sentiment text with star ratings, GDPR-clean by construction.
- **AI agents** — call this Actor as a tool through the [Apify MCP server](https://mcp.apify.com/?actors=antique_sundew/appstore-reviews-scraper).

### Limitations

- Apple's public review feed serves a limited window per app+country (most recent reviews); very deep history is not available from the source.
- Reviewer identity is omitted on purpose and cannot be turned on.
- Review volume differs by storefront; small markets have few reviews to fetch.

### FAQ

**How do I find an app's ID?**
It is the number in its App Store URL: `apps.apple.com/us/app/example/id`**`1234567890`** — or just use `searchTerm`.

**Can I get only negative reviews?**
Yes: `maxRating: 2`. You pay only for the rows you receive.

**Why is there no reviewer name?**
By design — the row carries the review, not the person. That keeps datasets shareable without GDPR exposure.

**Can I fetch several countries at once?**
Yes — each country in `countries` is fetched and stamped separately.

### Related Actors

- [App Store Charts Scraper](https://apify.com/antique_sundew/appstore-charts-scraper) — the rankings these reviews sit behind
- [Google Play Reviews Scraper](https://apify.com/antique_sundew/google-play-reviews-scraper) — the Android side

***

If this Actor saved you time, a short review on its Store page helps other people find it. If something looks wrong, open an issue on the **Issues** tab — issues get answered.

# Actor input Schema

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

List of numeric App IDs (e.g. 310633997) or full App Store URLs

## `searchTerm` (type: `string`):

Optional search query to discover apps automatically (used if appIds is empty)

## `maxAppsFromSearch` (type: `integer`):

Maximum number of apps to scrape when using search term

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

Two-letter store country codes (e.g. us, gb, de, fr, ro)

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

Order of customer reviews

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

Maximum reviews to collect per app per country (feed ceiling is 500)

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

Only return reviews with star rating equal or greater than this value

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

Only return reviews with star rating equal or less than this value

## Actor input object example

```json
{
  "maxAppsFromSearch": 5,
  "countries": [
    "us"
  ],
  "sortBy": "mostRecent",
  "maxReviewsPerCountry": 500
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("antique_sundew/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("antique_sundew/appstore-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 '{}' |
apify call antique_sundew/appstore-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,antique_sundew/appstore-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/SQfCvTwm3bMTfjY4i/builds/dgnJdWgY6KRydckk1/openapi.json