# App Store Reviews Scraper (`intelscrape/app-store-reviews-scraper`) Actor

Scrape Apple App Store customer reviews via iTunes RSS — rating, title, content, author, version, date. App ID + country. Query-first. Demo mode. Pay per review.

- **URL**: https://apify.com/intelscrape/app-store-reviews-scraper.md
- **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community)
- **Categories:** Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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?

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

Scrape **Apple App Store** customer reviews via the public iTunes RSS JSON feed (no API key).

### Input

- `appIds` — numeric App Store IDs (e.g. 284882215 Facebook)
- `country` — storefront code (us, gb, …)
- `maxItems` / `demoMode`
- `includeReviewsSummary` — optional batch summary row (default true)

### Pricing

Pay per review + actor start. SoftCTA mesh adds **no** extra PPE events.

### Soft CTA — next steps after reviews

Each review (and optional summary) includes a `softCta` object with cross-sell links:

- Google Reviews / Trustpilot / Yelp / Amazon Product Review — multi-platform reputation
- Maps Email / Website Leads / Contact Info — outreach
- TruePeopleSearch / Skip Trace PRO — people enrichment (links only; Skip Trace code frozen)

No self-link. SoftCTA only — no charge for the CTA fields.

# Actor input Schema

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

Numeric App Store app IDs (e.g. 284882215 for Facebook).

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

Two-letter storefront code (us, gb, de, …).

## `maxItems` (type: `integer`):

Maximum number of reviews to push (1–2000).

## `demoMode` (type: `boolean`):

When true, push fixture reviews for Store preview (always ≥1 items).

## `includeReviewsSummary` (type: `boolean`):

Push a reviews-summary SoftCTA row per app (uses one default-dataset charge).

## Actor input object example

```json
{
  "appIds": [
    "284882215"
  ],
  "country": "us",
  "maxItems": 50,
  "demoMode": false,
  "includeReviewsSummary": true
}
```

# Actor output Schema

# 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": [
        "284882215"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("intelscrape/app-store-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": ["284882215"] }

# Run the Actor and wait for it to finish
run = client.actor("intelscrape/app-store-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": [
    "284882215"
  ]
}' |
apify call intelscrape/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/app-store-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/OfJkhsKwzlgUIwHGM/builds/QhccXZWHsPKg7Kedg/openapi.json