Apple App Store Reviews Scraper

The Apple App Store Reviews Scraper is a Claude skill that pulls real customer reviews for any iOS app straight into a file you can read, sort, and mine. No external API subscription needed. Hundreds of reviews in seconds.

The Problem

You want to know what people actually think of an app. Maybe it's a competitor you're sizing up. Maybe it's your own, and the star average isn't telling you why.

So you open the App Store page and start scrolling. You read one review, then tap "more" to expand it, then scroll, then hit the wall where Apple stops loading and just sits there. You copy a few into a notes file. You lose your place. You switch to the UK storefront to see if the complaints are different over there, and now you're managing two tabs and a half-finished list. Twenty minutes in, you have maybe fifteen reviews and no real sense of the pattern. The thing you wanted, every recurring complaint in one place, is still locked inside a feed that won't let you hold more than a screen at a time.

This skill ends that. Hand Claude an app ID or a link, and get hundreds of reviews back in one file, already counted and sorted.

What this Claude skill does

Pulls up to 500 reviews per country: straight from Apple's public RSS feed, the full 10 pages of 50 the feed exposes.
Widens the sample across storefronts: pass the country name and it fetches each one, then dedupes by review ID so you can clear 500 in a single run.
Captures the full record per review: rating, title, body, author, app version, country, and date, not just the star count.
Builds a summary block on top: average rating, star distribution, and the most frequent terms in 1–2★ reviews versus 4–5★ reviews, so the pattern is visible before you read a word.
Sorts by most recent or most helpful: track what's happening right after a release, or surface the canonical complaints people keep upvoting.
Writes the format you want: markdown with the summary, CSV rows, a two-sheet XLSX workbook, or raw JSON to pipe elsewhere.

Why it's amazing!

Collect and analyze all reviews in one file instead of thumb-scrolling a feed.
See the top complaints counted, not guessed, before you read a single review.
Pull a competitor's audience reaction in the time it takes to open their listing.
Turn raw negative reviews into your own positioning angles.

Who it's for

Anyone shipping or studying an iOS app. App builders checking on a competitor, founders for customer feedback or deciding what to build next, product people hunting for the real reason churn is up, marketers mining verbatim complaints for copy, and analysts who need the reviews in a spreadsheet. If you've ever scrolled an App Store page trying to hold thirty reviews in your head at once, this is for you.

How it works

Ask Claude something like:

"Scrape the App Store reviews for Instagram."
"What are people saying about this app? https://apps.apple.com/us/app/instagram/id389801252"
"Pull reviews for app id id389801252 across us, gb, ca, au, de, and fr."
"Grab the most-helpful reviews for my competitor and give me a CSV."
"I'm about to rebuild my onboarding. Pull the 1-star reviews for the three biggest apps in my category and find the common complaints."
"Scrape the latest reviews after their last update so I can see what broke."

You'll get a file back that opens with the shape of the data:

Average rating: 2.34 / 5
Distribution: 5★ 62, 4★ 41, 3★ 53, 2★ 71, 1★ 260
Frequent terms in 1–2★ reviews: ads (180), reels (124), feed (98)
Frequent terms in 4–5★ reviews: family (44), photos (38), share (29)
Then every review in full: ★☆☆☆☆ "Too many ads" — username · 2026-05-27 · v345.0.0 · us

Once you have the file, ask Claude to read it back to you: "what are the top five complaints in the 1-star reviews?" The verbatim bodies are gold for the ICP Generator Skill when you need pains and desires in the customer's own words, and the frequent-terms list maps cleanly onto offer angles with the Marketing Offer Generator Skill.

Pairs well with these other skills

This scraper gets you the raw reviews — these skills turn them into something you can act on:

User Feedback Analyzer: Feed it the file you just scraped and get back a themed, ranked punch list — what to fix first, ship next, and double down on. It's the natural next step after a scrape.
ICP Generator: The verbatim review bodies are gold for building an ideal customer profile in the customer's own words — real pains and desires, not guesses.
Marketing Offer Generator: The frequent-terms list maps cleanly onto offer angles, so you can package fixes for the exact complaints people keep raising.
Competitor Teardown: Tear down a competitor's website, then scrape their app reviews to see positioning and real audience reaction side by side.

FAQ

Does it cost anything to run?

No external API source needed. Just the default Claude subscription.

How many reviews can I pull?

Up to 500 per country, which is the hard cap Apple's feed exposes (10 pages of 50). To go wider, pass more countries. Six storefronts can net a few thousand reviews after duplicates are removed.

Can it pull the full review history for an app?

No. The feed only surfaces recent reviews, and Apple doesn't expose the full archive publicly. For year-over-year sentiment you'd need a paid service like AppFollow or Sensor Tower.

Does it work for Google Play reviews?

No. This is Apple App Store only. Android is a different platform with a different feed.

Can I scrape reviews for an app I don't own?

Yes. The feed is public, which is what makes this good for competitor and market research. You don't need to own the app or have any special access.

Does it include the developer's replies to reviews?

No. Apple's public feed carries user reviews only. Developer responses live behind an authenticated endpoint this skill doesn't touch.

What if the app isn't sold in a country I list?

That country just returns nothing and the script moves on, no error. It logs which storefronts had no data so you know what was skipped.

Can I get this into a spreadsheet?

Yes. Ask for CSV or XLSX. The XLSX comes as a two-sheet workbook with the reviews on one tab and the app summary on another, ready to pivot by rating, version, or country.

Safe To Install

Please read before installing. Any skill you copy online is someone else's code running inside your Claude, and a lot of what's out there should give you pause. Most authors who give skills away don't give a second thought to quality or security. Most are vibe-coded slop pushed out untested, and some are the occasional bad actor hiding an exploit in plain sight. Every skill we publish is vetted by a programmer with 20+ years of professional experience and checked line by line for anything that touches your files without reason. With Stim-Pack Studios Claude Skills, you get peace of mind knowing you're installing safe, vetted code, not a stranger's guess.

Add it to your Claude workflow

If you want to know what an app's users really think without thumb-scrolling a feed for an hour, this one earns its slot. It collapses hundreds of scattered reviews into one counted, sorted file you can actually read. Pair it with a Competitor Teardown Skill of the app's website to see positioning and audience reaction side by side.

Get the Apple App Store Reviews Scraper Claude skill and find out what people really say in seconds.