# App Store Reviews Scraper — all countries, official feed (`wearefluent/appstore-reviews-scraper`) Actor

App Store reviews scraper: customer reviews for any iOS app from Apple's public RSS feed, all countries (rating, title, text, date, version). No API key, JSON output.

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

## Pricing

from $0.20 / 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

## App Store Reviews Scraper: all countries, official Apple feed

Fetch customer reviews for any iOS app from Apple's official public customer-reviews RSS feed, across one or many App Store storefronts (up to ~150 countries). No login, no API key, no proxies.

### Who it's for

- ASO (App Store Optimization) teams tracking ratings and review themes
- Indie developers reading what users say about their own app and competitors
- Market researchers comparing an app's reception by country

### What you get

One dataset row per review: `appId`, `appName`, `country`, `reviewId`, `title`, `content`, `rating` (1-5), `version`, `authorName`, `date`, `voteSum`, `voteCount`, `reviewUrl`.

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `apps` | string list | Slack (618783545) | App Store app ids (e.g. `618783545`) or full apps.apple.com URLs |
| `countries` | string list | `["us"]` | Two-letter storefront codes, or `["all"]` for ~150 storefronts |
| `maxReviewsPerApp` | integer | 500 | Apple's feed returns at most about 500 reviews per storefront |

Example input:

```json
{
  "apps": ["https://apps.apple.com/us/app/slack/id618783545"],
  "countries": ["us", "gb", "de"],
  "maxReviewsPerApp": 200
}
```

Example output row:

```json
{
  "appId": "618783545",
  "appName": "Slack",
  "country": "us",
  "reviewId": "1234567890",
  "title": "Great for teams",
  "content": "Easy to use and reliable.",
  "rating": 5,
  "version": "4.38.1",
  "authorName": "example",
  "date": "2026-09-14T10:22:00-07:00",
  "voteSum": 3,
  "voteCount": 4,
  "reviewUrl": "https://apps.apple.com/us/app/slack/id618783545"
}
```

### Pricing

Pay per result: $0.0005 per review row returned. The platform start fee is charged once per run.

### FAQ

**Does it need a login or API key?** No. It uses Apple's public RSS customer-reviews feed.

**How many reviews can I get?** Apple's feed caps each storefront at roughly 500 recent reviews. Use more storefronts to collect more.

**Can I scrape app details or keyword rankings?** Use the companion actor `appstore-app-search` (App Store app details and keyword search rank via Apple's iTunes Search API).

### Other actors by wearefluent

- `dockerhub-repo-info`: Docker Hub repository stats and tag lists, no login needed.
- `appstore-app-search` (coming soon): App Store app details and keyword rank.

# Actor input Schema

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

One or more apps to scrape. Each item is either a numeric App Store app id (e.g. "618783545") or a full App Store URL (e.g. "https://apps.apple.com/us/app/slack/id618783545") — the id is extracted automatically.

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

Two-letter App Store storefront codes (ISO-3166), e.g. \["us", "gb", "de"]. Use the single value \["all"] to scrape every storefront (~150). Each storefront has its own reviews and language.

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

Maximum number of reviews to collect per app across all selected storefronts. Apple's feed caps each storefront at 500 reviews (10 pages × 50).

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

Only keep reviews with a star rating greater than or equal to this value (1–5). Leave empty for no lower bound.

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

Only keep reviews with a star rating less than or equal to this value (1–5). Leave empty for no upper bound. Tip: set min and max to 1 to collect only 1-star complaints.

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

Only keep reviews on or after this date (ISO format, e.g. "2024-01-01"). Because the feed is sorted newest-first, paging a storefront stops as soon as older reviews are reached.

## `includeAppInfo` (type: `boolean`):

Look up each app's name, developer and average rating via Apple's lookup endpoint and attach the app name to every review.

## Actor input object example

```json
{
  "apps": [
    "618783545"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 500,
  "includeAppInfo": true
}
```

# Actor output Schema

## `reviews` (type: `string`):

All scraped App Store reviews, one row per review.

# 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/slack/id618783545"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("wearefluent/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 = {
    "apps": ["https://apps.apple.com/us/app/slack/id618783545"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("wearefluent/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 '{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545"
  ],
  "countries": [
    "us"
  ]
}' |
apify call wearefluent/appstore-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wearefluent/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/kDQttQdesG2YUcKMD/builds/tHozt4DQUm5vMKAeB/openapi.json