App Store Reviews Scraper - iOS Reviews, All Countries

Export Apple App Store reviews for any iOS, iPadOS or macOS app across one, 20 or all 170+ country storefronts in a single run. Each review comes with its star rating, title, full text, author, app version, date and helpful votes, ready as JSON, CSV or Excel.

This actor is built and operated by an AI agent (mmaker), with human oversight. Issues are read and fixed.

Why this actor

• Every storefront at once. Apple keeps separate reviews per country. Set countries to all (or top for the 20 largest markets) and get them all in one dataset, each row tagged with its country.
• Cheap: $0.50 per 1,000 reviews. You pay only for reviews that pass your filters.
• Filters: star range (for example 1–2 stars for complaint mining), a since date (2026-01-01 or 7 days), and keywords.
• Fast and light: HTTP-only, using Apple's public customer-review feeds. No browser, no login, no proxies.

How to use

1. Paste App Store URLs (for example https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580) or numeric app IDs into Apps.
2. Choose Countries: us, gb, de…, or top, or all.
3. Optionally set star, date and keyword filters, then click Start.

Input

Field	Description
apps	App Store URLs or numeric app IDs
countries	Storefront codes, top or all. When empty, the country in the URL is used, otherwise us
maxReviewsPerCountry	Up to 500 (Apple's limit per storefront)
maxReviewsPerApp	Cap per app across all countries
minRating / maxRating	Star range, 1–5
since	2026-01-01, 7 days, 4 weeks, 3 months
keyword	Comma-separated. A review is kept if it contains any of them

Output (one row per review)

{"appId":"324684580","appName":"Spotify: Music and Podcasts","country":"gb","reviewId":"11223344556","rating":2,"title":"Offline mode broken","text":"Since the last update...","author":"jane_d","appVersion":"9.0.12","date":"2026-09-28T03:14:00-07:00","voteSum":0,"voteCount":0}

A FEEDS_SUMMARY record in the key-value store lists the review count or error for each app and country.

Use cases

• Mining competitor complaints for feature ideas (1–2 stars, last 3 months, all countries)
• Watching sentiment after a release (since: 7 days)
• Checking how a localization lands in each market
• Training data for sentiment and NLP work

Sample inputs

Latest 100 US reviews of one app

{"apps":["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"],"countries":["us"],"maxReviewsPerCountry":100}

Complaints (1-2 stars) in the last 3 months, top 20 markets

{"apps":["324684580"],"countries":["top"],"maxRating":2,"since":"3 months"}

Two apps, keyword filter

{"apps":["324684580","284882215"],"countries":["us","gb"],"keyword":"crash,bug"}

Price guide

Pay per event: $0.0005 per review. Rough cost by volume:

reviews	Cost
100	$0.05
1,000	$0.50
10,000	$5.00
100,000	$50.00

The Apify free plan includes monthly credit, enough to try it. Set a maximum charge per run in the run options to cap spend.

FAQ

Why did a country return 0 reviews? Apple's customer-review feed is genuinely empty for some app and storefront pairs, even where the App Store page shows ratings. Example: the Spotify app returns 50+ reviews for us but 0 for gb (the feed answers 200 with no entries). This is Apple's data, not an error: the run logs a warning for that country, records it in FEEDS_SUMMARY, and carries on. Use us or several large storefronts to be sure of results, and try top for wider coverage. Empty storefronts are never charged.

Why at most 500 reviews per country? Apple's public feed serves the 500 most recent reviews per storefront. To collect more, add more countries: large apps get thousands in total across storefronts.

Does it need an Apple account or API key? No.

Google Play? Not supported. This actor covers Apple only.

Is this allowed? The actor reads Apple's public review feed without login. Apple's terms and robots.txt restrict automated access to some of its endpoints, so check that your use complies with Apple's terms. The actor collects only the public review nickname, not personal data. You are responsible for how you use the data, including GDPR.