App Store Reviews & Intelligence — search, details & reviews

Scrape the Apple App Store with no login: find apps, pull full app details & ratings, and extract customer reviews paginated across countries — clean, structured, deduped. Built for the people who already pay to monitor this (app developers, ASO agencies, product & market research): what are users saying about my app — or my competitor's?

Mode	What you get	Use it for
Reviews	Customer reviews for any app IDs — rating, title, text, author, app version, per country	Sentiment tracking, competitor monitoring, feature-request mining, release feedback
Search apps	Apps matching a term, with ratings & metadata	Market/competitor discovery, ASO keyword research
App details	Full details for app IDs (version, price, genre, size, rating breakdown)	Enrichment, competitor tracking, catalog building

Why a scraper (not a curl)

Apple paginates reviews (50/page, ~10 pages) per country with no bulk endpoint — pulling a clean, deduped, multi-region review set is fiddly work. This actor handles the pagination, multi-country fan-out, dedupe, and normalization, with rotating proxies + backoff so large pulls complete.

Output

Flat JSON rows (CSV/Excel/JSON/API). Reviews: app_id, country, rating (1–5), title, text, author, app_version, updated. Apps: name, seller, genre, rating_avg, rating_count, version, price, url, description.

Input examples

{ "mode": "reviews", "appIds": ["310633997"], "countries": ["us","gb","ca"], "maxItems": 500 }

{ "mode": "search", "searchTerm": "meditation", "country": "us", "maxItems": 50 }

{ "mode": "lookup", "appIds": ["571800810", "493145008"], "country": "us" }

Get an app ID from its store URL: apps.apple.com/us/app/.../id310633997 → 310633997.

Use cases

• ASO & competitor analysis — pull competitors' reviews to see what users praise and complain about, sorted by rating and recency.
• Product research — mine reviews for feature requests and pain points before building your roadmap.
• Review monitoring — schedule runs to catch new 1-star reviews early and respond before ratings sink.
• Market sizing — app metadata (ratings counts, categories, developers) across search results for a niche.
• AI/NLP datasets — thousands of labeled (star-rated) user opinions per app, ideal for sentiment models.

FAQ

How do I export App Store reviews to CSV or Excel? Run the actor with an app's ID or URL, then download the dataset as CSV/Excel/JSON from the Apify console — every review with rating, title, text, version and date.

Can I scrape iOS app reviews without Apple's API? Yes — the actor reads Apple's public review feeds and pages. No developer account or App Store Connect access needed, and it works for any app, not just your own.

How many reviews can I get per app? Apple exposes the most recent ~500 reviews per country feed; run multiple country codes to multiply coverage.

Can I monitor reviews for new complaints automatically? Schedule the actor daily and wire the dataset to Zapier/Make or a webhook — new low-star reviews can alert your team in Slack.

Does it also return app metadata and rankings? Yes — search and details modes return name, developer, category, price, rating counts and more, exportable like any dataset.

Legal

Uses Apple's public iTunes Search / RSS APIs for publicly available app and review data. No login, no circumvention. Handle any personal data within applicable law.

Pricing

Pay-per-event: a small actor-start fee plus a per-item charge for each app / review returned.