App Store Review Insights: complaints, feature requests & bugs from any iPhone app

Stop reading hundreds of reviews. Give this Actor an app name or App Store link. In about 15 seconds you get a report on what users complain about, what they ask for, what's breaking, and which version made ratings drop.

It works on any iOS app, yours or a competitor's, across any App Store country.

What you get (real output, Duolingo, 1,000 US + UK reviews, Oct 2026)

Duolingo: Learn Languages: 1000 recent reviews, average 4.07★ (17% are 1–2★). Top complaint themes: "day streak" (7), "free trial" (7), "language learning" (6), "family plan" (5). 2.3% of reviews mention a bug, crash, or login problem. 8 feature requests found, e.g. "I wish it told me more colors and numbers."

Each report includes:

Section	What it tells you
Complaint themes	The most common phrases in 1–2★ reviews, each with a real quote
Feature requests	Sentences like "please add…", "I wish…", "bring back…", most-upvoted first
Bug & crash reports	Crashes, freezes, login failures, errors, plus the % of reviews that mention them
Ratings by version	Average ★ per app version, with regressions flagged (a drop of 0.5★ or more between versions)
Ratings by country	Compare markets side by side
Weekly trend	Is sentiment getting better or worse?
Praise themes	What happy users love (good material for your App Store description)

You get it as structured JSON (for your pipeline or AI agent) and as a Markdown report (to paste into Notion, Slack, or a doc).

Just need the raw reviews?

App Store Reviews Scraper exports the reviews themselves (rating, text, version, date) for any app and country, with star filters. $0.08 per 1,000 reviews.

Also tracking App Store search ranks?

• App Store Keyword Rank Tracker: where any app ranks for your keywords, by country, with rank changes over time. $0.0009 per check.

Who it's for

• Indie iOS developers: find out what to fix next, and catch a bad release fast
• Product managers: a weekly voice-of-customer digest with no manual reading
• Competitor research: find the features users beg a competitor for, then build them
• ASO and marketing: pull the exact words happy users use
• AI agents: one call returns clean, ready-to-reason-over insights

How to use

1. Add one or more apps: a name (Duolingo), an App Store URL, or a numeric ID (570060128). Use the URL or ID when you need an exact match. Name search only accepts results whose name actually matches.
2. Pick countries (us, gb, ca, au, de…).
3. Run. Results appear in the Dataset (JSON/CSV/Excel). Each app's Markdown report is saved in the key-value store as REPORT-<appId>.

Turn on "Also output every raw review" if you want the individual reviews too.

Sample input

{ "apps": ["Duolingo", "https://apps.apple.com/us/app/facebook/id284882215"], "countries": ["us", "gb"] }

Pricing

Pay only for what you get:

• $0.045 per app report, covering up to 500 reviews per country
• $0.00008 per raw review row (only if you turn raw reviews on)

No report is charged if an app isn't found or has no reviews. A typical run (1 app, 2 countries) costs $0.045.

Data source & limits

• Uses Apple's official public App Store feeds (search, lookup, and customer-review RSS). No logins, no proxies, no scraping of private data.
• Apple returns up to 500 most recent reviews per country per app. For more coverage, add countries.
• Theme detection is tuned for English. Reviews in other languages are still counted, but their themes may be noisier.
• Reviewer names are included in raw rows only as Apple publishes them. Please handle them responsibly.

Support

Found a bug or want a feature? Open an issue on the Actor page. Issues are usually answered within a day.