# App Store Review Monitor — New iOS Reviews, All Countries (`gazidev/app-store-review-monitor`) Actor

Monitor Apple App Store reviews for your apps and competitors across all 175 storefronts. Only-new alert mode, star-rating and keyword filters, per-app rating summary. Official Apple feeds, no login, no proxies.

- **URL**: https://apify.com/gazidev/app-store-review-monitor.md
- **Developed by:** [Cemal Atakli](https://apify.com/gazidev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 review delivereds

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 Review Monitor: new iOS reviews from every country

**App Store Review Monitor** collects **Apple App Store reviews** (iPhone, iPad and Mac apps) for your own apps and your competitors' apps, from **all 175 App Store countries in one run**. Put it on a schedule and it works as an **App Store review alert**: each run returns only the reviews you haven't received before, and you only pay for those.

It reads Apple's public customer-reviews feed and the official iTunes Lookup/Search API. You don't need a login, cookies, proxies or an App Store Connect account, and it works for any app, not only the ones you own.

### What you can use it for

- **Negative review alerts.** Get every new 1 and 2 star review within the hour and send it to Slack, email or your helpdesk.
- **Competitor tracking.** See what users love and hate about competing apps after each release.
- **Bug and crash detection.** Filter reviews for `crash*`, `bug*`, `login`, `freez*` and similar words to catch a bad release early.
- **Product research and feature requests.** Export thousands of reviews to Sheets, BigQuery or an LLM for sentiment and topic analysis.
- **ASO and localization.** Compare ratings and review volume between countries (US, UK, DE, TR, JP, and so on).
- **Agency reporting.** Run one monitor per client, each with its own memory of delivered reviews.

### Why this Actor

| | App Store Review Monitor | Typical review scrapers |
|---|---|---|
| Countries per run | **All 175 storefronts** (`ALL`), the top 30 (`TOP30`), or any list | Usually one per run |
| Only new reviews (alert mode) | ✅ Built in, and you pay only for new reviews | ❌ Returns the same reviews again |
| Star and keyword filters | ✅ For example, only 1 and 2 star reviews that mention "subscription" | Limited |
| Per-app rating summary | ✅ Store rating, rating count, version, new negative reviews | ❌ |
| Input | App Store URL, numeric ID or **just the app name** | ID only |
| Data source | Apple's official public feeds (no proxies) | Often scraped HTML or private APIs |
| Start fee | None | Often charged |

### How to use it

1. Add apps as URLs (`https://apps.apple.com/us/app/duolingo-language-lessons/id570060128`), IDs (`570060128`) or names (`Duolingo`).
2. Choose countries, for example `us, gb, de`, or `TOP30` or `ALL`.
3. Optionally keep only certain star ratings (such as 1 and 2) or reviews that contain certain keywords.
4. Click **Start**. The first run returns the latest reviews (up to 500 per app per country). Every later run returns **only new reviews**.
5. Open **Schedule** and run it hourly or daily. Connect **Slack, Zapier, Make, n8n, Google Sheets or a webhook** under Integrations.

#### Input example

```json
{
  "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "Babbel"],
  "countries": ["TOP30"],
  "ratings": ["1", "2"],
  "keywords": ["crash*", "subscription", "refund"],
  "onlyNewSinceLastRun": true,
  "stateKey": "language-apps-negative"
}
```

#### Output example (one review)

```json
{
  "type": "review",
  "appId": "570060128",
  "appName": "Duolingo: Language Lessons",
  "developer": "Duolingo, Inc",
  "country": "us",
  "reviewId": "14592683019",
  "rating": 1,
  "title": "App keeps crashing",
  "text": "Since the last update the app crashes when I open a lesson…",
  "appVersion": "7.141.1",
  "userName": "…",
  "date": "2026-09-25T18:27:04Z",
  "voteSum": 0,
  "voteCount": 0,
  "matchedKeywords": ["crash*"],
  "appUrl": "https://apps.apple.com/us/app/id570060128",
  "fetchedAt": "2026-09-26T22:21:10Z"
}
```

#### Per-app summary row (optional, one per app per run)

```json
{
  "type": "app-summary",
  "appName": "Duolingo: Language Lessons",
  "storeAverageRating": 4.723,
  "storeRatingCount": 5471495,
  "currentVersion": "7.141.1",
  "reviewsScanned": 1300,
  "scannedAverageRating": 3.821,
  "scannedRatingDistribution": {"1": 216, "2": 71, "3": 140, "4": 176, "5": 697},
  "newReviewsDelivered": 12,
  "newNegativeReviews": 3,
  "reviewsByCountry": {"us": 500, "de": 400, "gb": 250, "tr": 150}
}
```

The dataset has two views: **Reviews** and **App summaries**. You can filter by `type` when you export.

### Pricing

This Actor uses **pay per event** pricing, and there's no start fee:

- **$0.50 per 1,000 reviews** delivered ($0.0005 per review)
- **$0.002 per app summary row**. You can turn these off with `includeAppSummary: false`.

In alert mode you pay only for **new** reviews. Monitoring 10 apps in 5 countries every day usually costs a few dollars a month. You can set a **maximum cost per run**. If a run reaches it, the Actor stops cleanly, and the reviews it didn't deliver come out on the next run.

### FAQ

**How many reviews can I get?** Apple's public feed exposes the **latest 500 reviews per app per country** (sorted by most recent or most helpful). Because it covers 175 countries, one app can yield tens of thousands of reviews. For monitoring this is more than enough, because the Actor catches every new review as it appears.

**Does it work for Google Play?** No. This Actor covers the Apple App Store only (iOS, iPadOS, macOS).

**Do I need an API key or App Store Connect access?** No. It works for any public app.

**How does "only new" work?** The Actor keeps the IDs of the reviews it has delivered in a named key-value store, one per **Monitor name** (`stateKey`). Use a different name for each independent monitor. To receive everything again, change the name or turn the option off.

**Are ratings without text included?** No. Apple's feed contains written reviews only. The `app-summary` row has the store-wide average rating and the total rating count.

**Is it legal?** The Actor reads public data that Apple publishes through its own public feeds and API, at a modest request rate. Reviews are user-generated content: use them for analysis and monitoring, and follow Apple's terms and privacy law (such as GDPR) if you republish reviewer names.

### Related keywords

App Store reviews scraper, iOS app reviews API, Apple app review monitoring, App Store review alerts to Slack, app review sentiment analysis, competitor app reviews, iPhone app ratings tracker, ASO review analysis, App Store ratings by country.

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/duolingo/id570060128), numeric app IDs (570060128) or app names ("Duolingo" — the top search result is used). Add your own apps and your competitors'.

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

Two-letter codes, e.g. us, gb, de, tr, jp. Use "TOP30" for the 30 biggest markets or "ALL" for all 175 storefronts. Reviews are separate per storefront, so more countries = more reviews. The first country is also used for app metadata and name search.

## `onlyNewSinceLastRun` (type: `boolean`):

Remember delivered reviews and output only new ones on each run. Schedule the Actor hourly/daily and pipe results to Slack, email, Sheets or your helpdesk. You pay only for new reviews.

## `stateKey` (type: `string`):

Name of the 'already delivered' memory. Use different names for independent monitors (e.g. one per client). Default: "default".

## `ratings` (type: `array`):

Keep only these star ratings. E.g. \[1, 2] for a negative-review alert. Empty = all.

## `keywords` (type: `array`):

Keep only reviews whose title or text contains ANY of these words (case/accent-insensitive; trailing \* = prefix, e.g. "crash\*"). Great for bug, pricing or feature-request tracking.

## `excludeKeywords` (type: `array`):

Drop reviews containing any of these words.

## `daysBack` (type: `integer`):

0 = no date limit (Apple's feed exposes the latest ~500 reviews per app per country).

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

mostrecent is best for monitoring; mosthelpful returns the most up-voted reviews.

## `maxReviewsPerCountry` (type: `integer`):

Apple's feed provides up to 500 per app per storefront.

## `includeAppSummary` (type: `boolean`):

Adds one row per app with the current store rating, rating count, version, and stats of the scanned and new reviews (e.g. number of new 1–2★ reviews). Charged as a separate small event.

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

Hard cap on review rows (and cost) per run. Undelivered new reviews are kept for the next run.

## `maxConcurrency` (type: `integer`):

Advanced. Keep it modest to stay friendly with Apple's servers.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
    "Babbel"
  ],
  "countries": [
    "us",
    "gb",
    "ca",
    "au"
  ],
  "onlyNewSinceLastRun": true,
  "stateKey": "default",
  "ratings": [],
  "keywords": [],
  "excludeKeywords": [],
  "daysBack": 0,
  "sortBy": "mostrecent",
  "maxReviewsPerCountry": 500,
  "includeAppSummary": true,
  "maxItems": 10000,
  "maxConcurrency": 8
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `results` (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 = {
    "apps": [
        "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
        "Babbel"
    ],
    "countries": [
        "us",
        "gb",
        "ca",
        "au"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("gazidev/app-store-review-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/duolingo-language-lessons/id570060128",
        "Babbel",
    ],
    "countries": [
        "us",
        "gb",
        "ca",
        "au",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("gazidev/app-store-review-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/duolingo-language-lessons/id570060128",
    "Babbel"
  ],
  "countries": [
    "us",
    "gb",
    "ca",
    "au"
  ]
}' |
apify call gazidev/app-store-review-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gazidev/app-store-review-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/JwPs9faf5bV9XrUcs/builds/1fUHUYiKITSx6hhQ3/openapi.json