App Store Reviews: Multi-Country & Monitoring

Collect Apple App Store reviews for any iOS app: star rating, title, full text, app version, date and helpfulness votes, together with the app's overall rating and details. Get reviews from one country or 50+ countries in a single run, filter them by stars, keywords and date, and monitor new reviews on a schedule.

Data comes from Apple's official public customer reviews feed and the iTunes Search API. No login, no browser, very fast and cheap.

Features

• Any app input: App Store link, app id or just the app name (e.g. Spotify).
• Many countries: pick countries or turn on All major countries (50+ markets). Apple shows up to 500 latest reviews per country, so more countries means many more reviews.
• Filters: min and max stars (e.g. 1–2 stars = complaints only), keywords (crash, price, login…), reviews since a date or period (7 days).
• Monitoring: Only new reviews returns just the reviews you have not seen yet. Schedule daily and connect Slack, e-mail, Google Sheets or Zapier.
• App details in every row: app name, developer, average rating, rating count, current version, genre, price.
• Privacy-friendly: reviewer nicknames are off by default and can be turned on.

Output

{
  "appId": "950278657",
  "appName": "Seznam.cz",
  "developer": "Seznam.cz a.s.",
  "appRating": 4.63,
  "appRatingCount": 28394,
  "appCurrentVersion": "19.1.1",
  "country": "cz",
  "reviewId": "14588495870",
  "rating": 1,
  "title": "Email",
  "text": "Could you add a 'Select all' option to the iOS mail app?",
  "appVersion": "19.1.0",
  "date": "2026-09-24T16:49:44.000Z",
  "voteSum": 0,
  "voteCount": 0
}

Use cases

• Product teams: find bugs and feature requests after every release (filter by app version and 1–2 stars).
• Competitor research: compare what users love and hate about competing apps across countries.
• Customer support and ASO: get new reviews daily and react quickly.
• AI analysis: feed reviews into ChatGPT or Claude for sentiment and topic summaries.

Limits

• Apple's feed provides up to 500 most recent reviews per app per country (10 pages of 50). Use more countries for more reviews.
• Ratings without a written review are not included in the feed, but the app's overall rating and count are.

Questions or ideas?

Open an issue on the Issues tab. Feature requests are welcome.

How to use it via API

You can run the Actor from the Apify Console, on a schedule, or from your own code. Get your API token in Apify Console → Settings → Integrations.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("digitalni.produkty.pro.zivot/app-store-reviews").call(run_input={
    "apps": [
        "Spotify"
    ],
    "countries": [
        "us",
        "gb"
    ]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('digitalni.produkty.pro.zivot/app-store-reviews').call({
    "apps": [
        "Spotify"
    ],
    "countries": [
        "us",
        "gb"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Integrations and AI agents

• Export results as JSON, CSV, Excel, XML or HTML, or open them directly in Google Sheets.
• Connect to Make, Zapier, n8n, Slack, Google Drive, Airbyte or any webhook to get Apple App Store reviews into your workflow automatically.
• Use it from AI agents and LLM apps (Claude, ChatGPT, Cursor, LangChain…) through the Apify MCP server: the agent can call this Actor as a tool.
• Schedule runs (hourly, daily, weekly) to keep data fresh without any code.

FAQ

How much does it cost? $0.15 per 1,000 reviews. 10,000 reviews cost $1.50.

How many reviews can I get? Apple exposes up to about 500 most recent reviews per app and country, so running many countries in one go gives you far more data.

Can I monitor new reviews? Yes. Schedule the Actor with monitoring on and get only new reviews, e.g. to alert your support team about 1-star reviews.

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