# BORG App Store Reviews (`acid-base/borg-app-store-reviews`) Actor

No API key or login required. Extract structured app store reviews data on demand — clean JSON output, run via API, schedule and monitor runs, or integrate with your stack.

- **URL**: https://apify.com/acid-base/borg-app-store-reviews.md
- **Developed by:** [Daniel Yates](https://apify.com/acid-base) (community)
- **Categories:** Marketing, E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 results

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

## BORG App Store Reviews

No API key or login required. Extract structured app store reviews data on demand — clean JSON output, run via API, schedule and monitor runs, or integrate with your stack.

**No API key, account, or login required.** App Store Reviews is public data — you get clean, structured records straight from the source.

### What you get

Each run returns structured records with these fields:

| Field | Type | Description |
| --- | --- | --- |
| `author` | object | The author value for each record. |
| `updated` | string | The updated value for each record. |
| `im:rating` | string | The im:rating value for each record. |
| `im:version` | string | The im:version value for each record. |
| `id` | string | The id value for each record. |
| `title` | string | The title value for each record. |
| `content` | string | The content value for each record. |
| `link` | object | The link value for each record. |
| `im:voteSum` | string | The im:voteSum value for each record. |
| `im:contentType` | object | The im:contentType value for each record. |
| `im:voteCount` | string | The im:voteCount value for each record. |

### Input

Provide the target(s); everything else is optional. Example:

```json
{
  "startUrls": [
    {
      "url": "https://itunes.apple.com/us/rss/customerreviews/page=1/id=389801252/sortby=mostrecent/json"
    }
  ]
}
```

### Output

Every result is one dataset item. Export to JSON, CSV, or Excel, pull it via the Apify API, schedule recurring runs, or pipe it into your own tools.

### Volume & responsible use

The scraper pages through the source automatically and discovers a **safe request rate** on the fly (backing off if the source pushes back), so you get large result sets without hammering the origin — no proxy required for public data.

### Pricing

Pay per result — **$6/1,000 records** (Apify subscribers pay less; gold-tier ~$3.6/1,000). You only pay for the data you pull.

### Categories

`MARKETING` · `ECOMMERCE` · `BUSINESS`

# Actor input Schema

## `startUrls` (type: `array`):

The startUrls parameter

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://itunes.apple.com/us/rss/customerreviews/page=1/id=389801252/sortby=mostrecent/json"
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

Link to all scraped BORG App Store Reviews items in the default dataset.

# 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 = {
    "startUrls": [
        {
            "url": "https://itunes.apple.com/us/rss/customerreviews/page=1/id=389801252/sortby=mostrecent/json"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("acid-base/borg-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 = { "startUrls": [{ "url": "https://itunes.apple.com/us/rss/customerreviews/page=1/id=389801252/sortby=mostrecent/json" }] }

# Run the Actor and wait for it to finish
run = client.actor("acid-base/borg-app-store-reviews").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://itunes.apple.com/us/rss/customerreviews/page=1/id=389801252/sortby=mostrecent/json"
    }
  ]
}' |
apify call acid-base/borg-app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=acid-base/borg-app-store-reviews",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zE0GxuNwgPXoMRcur/builds/MfD827Pxf9fnulVpp/openapi.json