# App Store Reviews Monitor - iOS Reviews, Ratings and Alerts (`utilityworksstudio/app-store-reviews-monitor`) Actor

Get the latest App Store reviews for any iOS app in any country, with star rating, version and app rating. Only-new-reviews mode turns a daily schedule into review alerts. Uses Apple's public feeds.

- **URL**: https://apify.com/utilityworksstudio/app-store-reviews-monitor.md
- **Developed by:** [UtilityWorks Studio](https://apify.com/utilityworksstudio) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 review returneds

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 Monitor: iOS Reviews, Ratings & New Review Alerts

Get the latest **App Store reviews for any iOS app in any country**, with stars, title, text, app version and date, plus the app's overall rating, and **only the new reviews since your last run** for alerts.

Uses Apple's own public review feeds: fast, stable, and no login or proxies.

### What you get

- **Reviews**: `rating`, `title`, `text`, `version`, `date`, `voteSum`, `voteCount`, `reviewId`, `userName`
- **App context on each review**: `appName`, `appRating`, `appRatingCount`
- **App summary** (key-value store `APPS`): developer, genre, current version and release date, price, rating and rating count per country
- **Change tracking**: `NEW`, or `CHANGED` when a reviewer edits their review (before→after in `changes`)

### Use it as an alert

1. Run once with your apps and countries. This is the baseline.
2. Switch **Output** to *Only new or edited reviews since last run*.
3. Schedule it (hourly or daily) and connect it to Slack, email, Zendesk, Sheets, Zapier or Make.
4. Set **Maximum stars** to 2 to get only complaints, or watch competitors' apps the same way.

### Who uses it

- **Mobile teams and support** catching bugs and angry users right after a release
- **Product managers** tracking sentiment per version
- **Competitor research and ASO**: what users love and hate about rival apps
- **AI pipelines** that summarize or classify reviews

### Pricing (pay per event)

| Event | Price |
|---|---|
| Review returned | $0.10 per 1,000 |
| Review checked with no change (*changes* mode only) | $0.05 per 1,000 |
| Run start | $0.001 |

### Input

| Field | Description |
|---|---|
| `apps` | App Store URLs or numeric ids |
| `countries` | e.g. `us`, `gb`, `de`, `jp` (default `us`) |
| `outputMode` | `all` (default) or `changes` |
| `maxReviewsPerAppCountry` | Up to 500 (Apple's feed limit, most recent first) |
| `minRating` / `maxRating` | Star filter |
| `resetState` | Start a new baseline |

### Notes

- Apple's public feed returns the **500 most recent reviews per country**. For complete history, run on a schedule. The monitor accumulates every new review from then on.
- An invalid app id is reported in `RUN_SUMMARY` and the other apps still run.

***

Built and maintained by **Utility Works Studio**. Issues are answered on the Issues tab.

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/facebook/id284882215) or numeric app ids (284882215).

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

Two-letter App Store country codes, e.g. us, gb, de, jp. Each country has its own reviews.

## `outputMode` (type: `string`):

'all' returns every fetched review with its change status. 'changes' returns only reviews that are new or edited since the last run with the same apps and countries (the first run returns the full baseline). Schedule it for new-review alerts.

## `maxReviewsPerAppCountry` (type: `integer`):

Up to 500, the most Apple's public feed returns per country (most recent first).

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

Keep reviews with at least this many stars. Set max to 2 to watch only complaints.

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

Keep reviews with at most this many stars.

## `resetState` (type: `boolean`):

Forget the previous run and start a new baseline.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/facebook/id284882215"
  ],
  "countries": [
    "us"
  ],
  "outputMode": "all",
  "maxReviewsPerAppCountry": 500,
  "minRating": 1,
  "maxRating": 5,
  "resetState": false
}
```

# Actor output Schema

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

App Store reviews (or only new/edited ones, in changes mode) with stars, title, text, app version, date and the app rating.

## `allFields` (type: `string`):

The same records with every field.

## `apps` (type: `string`):

Per app and country: developer, genre, current version, price, rating and rating count.

## `summary` (type: `string`):

Counts of new, changed, removed and unchanged records, output count, and per-source errors.

# 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/facebook/id284882215"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("utilityworksstudio/app-store-reviews-monitor").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/facebook/id284882215"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("utilityworksstudio/app-store-reviews-monitor").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/facebook/id284882215"
  ],
  "countries": [
    "us"
  ]
}' |
apify call utilityworksstudio/app-store-reviews-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,utilityworksstudio/app-store-reviews-monitor"
        }
    }
}
```

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/uqv8luNeZ8Ye0ZnPL/builds/tq8mdYkgHrVLEcc3P/openapi.json