# Appstore Reviews Scraper (`scriptbase/appstore-reviews-scraper`) Actor

⭐ Extract reviews from any iOS app on the Apple App Store. Scrape ratings, review text, author, version & date across 155 countries. Filter by star rating or keyword. No API key needed.

- **URL**: https://apify.com/scriptbase/appstore-reviews-scraper.md
- **Developed by:** [Scriptbase](https://apify.com/scriptbase) (community)
- **Categories:** AI, Developer tools, Agents
- **Features:** Limited permissions
- **Stats:** 62 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 🍎

⭐ Extract reviews from any iOS app on the Apple App Store. Scrape ratings, review text, author, version & date across 155 countries. Filter by star rating or keyword. No API key needed.

> **Perfect for:** sentiment analysis, competitor research, ASO keyword discovery, bug tracking, and reputation monitoring — all without writing a single line of scraping code.

### What it does

1. You provide one or more App Store app IDs (the numeric ID from the App Store URL, e.g. `310633997` for Instagram).
2. The actor fetches reviews from the countries you specify.
3. You get back structured reviews with app metadata — ready for sentiment analysis, ASO research, or competitor monitoring.

### Key features

- **Multi-app** — scrape several apps in one run.
- **155 countries** — any country the App Store supports.
- **Filter by rating** — e.g. only 1–2 star reviews for complaint analysis.
- **Filter by keyword** — find reviews mentioning "crash", "refund", etc.
- **Sort** — by most recent or by rating.
- **App metadata** — name, developer, category, overall rating, icon URL.
- **No API key required.**

### Finding an app's numeric ID

The numeric ID appears in the App Store URL:
`https://apps.apple.com/app/instagram/id310633997` → ID is `310633997`

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `appIds` | `string[]` | *(required)* | Numeric App Store IDs, e.g. `["310633997", "324684580"]` |
| `countries` | `string[]` | `["us"]` | ISO 3166-1 alpha-2 country codes |
| `minRating` | `integer` | `1` | Only include reviews with rating ≥ this (1–5) |
| `maxRating` | `integer` | `5` | Only include reviews with rating ≤ this (1–5) |
| `filterKeyword` | `string` | `""` | Only include reviews containing this keyword (case-insensitive) |
| `sortBy` | `string` | `"recent"` | `"recent"` (newest first) or `"rating"` |
| `maxReviewsPerApp` | `integer` | `0` | Max reviews per app (0 = no limit, ~500 max per country) |

### Output example

```json
{
  "appId": "310633997",
  "store": "app_store",
  "app": {
    "name": "Instagram",
    "developer": "Meta Platforms, Inc.",
    "category": "Photo & Video",
    "rating": 4.7,
    "ratingCount": 5000000,
    "url": "https://apps.apple.com/app/instagram/id310633997",
    "iconUrl": "https://..."
  },
  "review": {
    "id": "as:xxx",
    "rating": 5,
    "title": "Amazing app",
    "body": "Best social media app out there.",
    "authorName": "Jane Doe",
    "appVersion": "300.0.0",
    "country": "us",
    "language": "en",
    "createdAt": "2026-03-15T10:00:00",
    "updatedAt": null,
    "isEdited": false,
    "fetchedAt": "2026-04-12T09:00:00"
  }
}
```

When an app fails, a single error record is pushed and the run continues:

```json
{
  "appId": "000000000",
  "store": "app_store",
  "error": "FETCH_FAILED",
  "message": "..."
}
```

### Use cases

- **Sentiment analysis** — track how users feel about your app over time.
- **Competitor research** — find what users dislike about rival apps.
- **ASO (App Store Optimization)** — identify keywords users mention in reviews.
- **Bug tracking** — filter by keyword (`"crash"`, `"freeze"`) to find widespread issues.
- **Reputation monitoring** — watch for rating drops across regions.

### Integrations

- **Python** — `apify_client.actor("your-actor-id").call(run_input={"appIds": [...]})`
- **JavaScript** — `await client.actor("your-actor-id").call({appIds: [...]})`
- **Zapier / Make / n8n** — trigger on a schedule and feed reviews into your CRM or Slack.

# Actor input Schema

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

Numeric App Store IDs (found in the App Store URL, e.g. id310633997 → "310633997").

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

ISO 3166-1 alpha-2 country codes to fetch reviews from.

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

Only include reviews with a star rating at or above this value (1–5).

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

Only include reviews with a star rating at or below this value (1–5).

## `filterKeyword` (type: `string`):

Only include reviews whose title or body contains this keyword (case-insensitive). Leave empty to include all reviews.

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

Sort order for reviews.

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

Maximum number of reviews to return per app across all countries. Set to 0 for no limit (~500 max per country from Apple RSS).

## Actor input object example

```json
{
  "appIds": [
    "310633997"
  ],
  "countries": [
    "us"
  ],
  "minRating": 1,
  "maxRating": 5,
  "filterKeyword": "",
  "sortBy": "recent",
  "maxReviewsPerApp": 0
}
```

# Actor output Schema

## `overview` (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 = {
    "appIds": [
        "310633997"
    ],
    "countries": [
        "us"
    ],
    "minRating": 1,
    "maxRating": 5,
    "filterKeyword": "",
    "sortBy": "recent",
    "maxReviewsPerApp": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("scriptbase/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": ["310633997"],
    "countries": ["us"],
    "minRating": 1,
    "maxRating": 5,
    "filterKeyword": "",
    "sortBy": "recent",
    "maxReviewsPerApp": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("scriptbase/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 '{
  "appIds": [
    "310633997"
  ],
  "countries": [
    "us"
  ],
  "minRating": 1,
  "maxRating": 5,
  "filterKeyword": "",
  "sortBy": "recent",
  "maxReviewsPerApp": 0
}' |
apify call scriptbase/appstore-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scriptbase/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/nmfMNooLorjVQF2gk/builds/bLjRxDVVPP0cZGpG4/openapi.json