Apple App Store Reviews Scraper

Download App Store reviews for any iPhone, iPad or Mac app from Apple's official customer-reviews feed (the public RSS/JSON feed behind apps.apple.com) plus the iTunes lookup/search APIs. No login, no cookies, no browser, no proxies.

• Any app: paste an App Store URL, a numeric app ID, or just the app name
• Any country: one run can cover many storefronts (us, gb, de, fr, jp, ...)
• Filters: newest or most helpful first, star range (e.g. 1-2 stars to find complaints), since date
• Each review carries the app's name, developer, current average rating and rating count
• Up to 500 reviews per app and country (the limit of Apple's feed)
• $0.20 per 1,000 reviews. Failed lookups are never charged.

Input examples

{ "apps": ["389801252"], "countries": ["us"], "maxReviews": 100 }

{ "apps": ["Duolingo", "https://apps.apple.com/gb/app/spotify-music-and-podcasts/id324684580"], "countries": ["us", "gb", "de"], "maxRating": 2, "since": "2026-01-01", "maxReviews": 500 }

Output

type (review or error), appId, appName, developer, appRating, appRatingCount, country, reviewId, rating (1-5), title, text, version, author (public display name), date (ISO 8601 UTC), helpfulVotes, totalVotes, appUrl, source.

Notes

• Apple only exposes the most recent 500 reviews per app and storefront; run several countries for more coverage.
• Review volume per country differs a lot; small storefronts may return few reviews.
• Items with type: error are free.

Pricing

Event	Price
Review	$0.0002

Data comes from Apple's public feeds. Reviews contain public display names; please respect applicable privacy law when using them.

Example output

{
  "type": "review",
  "appId": "570060128",
  "appName": "Duolingo",
  "country": "de",
  "rating": 2,
  "title": "I don't need chests and tiles",
  "text": "Please add option to skip chests opening ...",
  "version": "7.147.0",
  "author": "fijveu",
  "date": "2026-11-03T06:44:13Z",
  "helpfulVotes": 0
}

Use cases

• Product research: find recurring complaints with maxRating: 2.
• LLM analysis: feed reviews to a model for sentiment and feature requests.
• Competitor tracking: schedule runs per country and compare ratings over time.

Integrations

Python (Apify client):

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("extas_corp/appstore-reviews-scraper").call(run_input={"apps": ["389801252"], "countries": ["us"], "maxReviews": 50})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rating"], item["text"])

Make, Zapier, n8n: add the Apify app, choose Run Actor (or Run Actor and get dataset items), set the Actor to extas_corp/appstore-reviews-scraper and map the JSON input. The same Actor can be started on a schedule from Apify itself, with a webhook to your own endpoint when the run finishes.

FAQ

Where do the reviews come from? The public Apple customer-review feed per storefront; no login needed.

Android too? Yes, see Google Play Reviews Scraper.

Do I need to pay to try it? New Apify accounts include free monthly platform credit (about $5 on the free plan at the time of writing), so you can run the example input above and many more items before paying anything. You only pay the per-event price listed under Pricing; runs that return nothing or fail are not charged for the failed items.