App Store Reviews (via Apify) MCP server

App Store Reviews Scraper & API: past the 500-review limit, with developer replies

App Store Reviews Scraper is an Apify Actor that extracts Apple App Store reviews for any app and country — star rating, title, text, date, author and the developer's reply — and goes past the 500-review limit of Apple's public review feed, at $0.08 per 1,000 reviews. It works as an App Store reviews API: call it from code, schedule it to monitor new reviews, or let AI agents use it through Apify's MCP server.

Price: $0.08 per 1,000 reviews ($0.05–$0.07 on paid plans) · Run it: https://apify.com/automationnation/app-store-reviews-scraper · Guide: https://retracn.github.io/automationnation-actors/app-store-reviews-scraper/

Quick facts

• One row per review: stars, title, text, date, the reviewer's public name, whether the review was edited, and the developer's reply with its date, plus app name, developer, overall rating and App Store URL.
• Past 500 reviews: most App Store scrapers read Apple's public RSS feed, which stops at the newest 500 reviews per country. This Actor reads the review API behind apps.apple.com and pages back tens of thousands of reviews for popular apps.
• Any app and storefront: App Store URLs, numeric App IDs or app names, several countries per run; newest or most helpful first; star filters.
• Only new reviews mode for scheduled monitoring; repeats aren't charged. In a test run, 5,000 reviews from 3 apps in 2 countries took under 2 minutes.
• Price: $0.08 per 1,000 reviews on the Free plan ($0.05–$0.07 on paid plans), with no caps on free-plan runs or reviews. Apify's free $5 monthly credit covers over 60,000 reviews.

Example input

{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580",
    "570060128"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxReviewsPerApp": 1000,
  "sort": "newest"
}

Run it from code

REST API

curl -X POST "https://api.apify.com/v2/acts/automationnation~app-store-reviews-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"apps": ["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580", "570060128"], "countries": ["us", "gb"], "maxReviewsPerApp": 1000, "sort": "newest"}'

Python — see examples/python_example.py

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("automationnation/app-store-reviews-scraper").call(run_input={
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580",
    "570060128"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxReviewsPerApp": 1000,
  "sort": "newest"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("appName"), item.get("rating"), item.get("date"), item.get("title"))

JavaScript — see examples/node_example.mjs

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('automationnation/app-store-reviews-scraper').call({
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580",
    "570060128"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxReviewsPerApp": 1000,
  "sort": "newest"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.appName, item.rating, item.date, item.title);

Use it with AI agents (MCP)

Shortened. The full README is on GitHub.