App Store Scraper — iOS App Data, Reviews & ASO API avatar

App Store Scraper — iOS App Data, Reviews & ASO API

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from $1.00 / 1,000 results

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App Store Scraper — iOS App Data, Reviews & ASO API

App Store Scraper — iOS App Data, Reviews & ASO API

Unofficial Apple App Store API in one Apify actor. 10 endpoints: app details, search, reviews, top charts, similar apps, developer profiles, autocomplete, rating histograms, privacy labels, version history. Pure HTTP, sub-3s cold start, batch & parallel. For iOS devs, ASO and AI tools.

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from $1.00 / 1,000 results

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5 hours ago

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An unofficial Apple App Store scraper and REST-style iOS app data API in a single Apify actor. Extract App Store app details, user reviews, ratings, top charts, ASO keyword suggestions, Apple Privacy Labels and version history — no App Store Connect account, no API key, no headless browser, just fast HTTP and clean JSON.

This App Store data scraper is built for iOS developers, ASO platforms, app intelligence tools, market researchers and AI agents who need structured Apple App Store data on demand. Ten endpoints (modes) share one input form, and every result is tagged with _mode so you can mix modes in a single dataset.

What you get

Each mode returns documented, flat fields. Highlights across all 10 modes:

  • App detailsid, appId (bundle), title, description, url, icon, screenshots[], ipadScreenshots[], appletvScreenshots[]
  • Ratingsscore, ratings, currentVersionScore, currentVersionRatings, plus a full 1–5 star histogram in ratings mode
  • ReviewsuserName, score, review title, full text, date, app version (sort by RECENT or HELPFUL)
  • Pricingprice, currency, free
  • Versionversion, releaseDate, currentVersionReleaseDate, releaseNotes, versionHistory[]
  • CompatibilityrequiredOsVersion, supportedDevices[], languages[], size
  • GenreprimaryGenre, primaryGenreId, genres[], genreIds[]
  • Developerdeveloper, developerId, developerUrl, developerWebsite
  • Privacy Labelsdata[] (categories collected + purposes), privacyTypes[], managePrivacyChoicesUrl
  • ASO suggestions — ranked autocomplete search terms from App Store
  • Universal_mode and scrapedAt (ISO 8601) on every item

Export everything as CSV, JSON, Excel (XLSX), HTML, RSS or JSONLines. Four pre-built dataset views (Overview, App catalog, Reviews, App details) let you slice the data with no post-processing.

The 10 modes

ModeWhat it returns
searchKeyword search results (App Store search box)
appFull details for one app or many (batch, 5× concurrency)
reviewsUp to ~500 reviews per app/country (App Store cap)
listTop charts (free / paid / grossing) by category & device
similar"You Might Also Like" apps for a given app
developerEvery app published by a developer (artistId)
suggestAutocomplete suggestions for ASO keyword research
ratings1-star to 5-star rating histogram
privacyApple Privacy Labels (data collected, tracking)
versionHistoryFull version-release history with notes

Use cases

  • ASO & App Store optimization — track keyword rankings with search, mine long-tail keywords with suggest, monitor competitor metadata changes.
  • App market intelligence — bulk-ingest app details, top charts by country, and rating histograms into dashboards.
  • Review monitoring & sentiment — pull reviews for your app or competitors, alert on 1-star spikes, feed NPS/sentiment models.
  • Privacy & compliance research — extract Apple Privacy Labels for GDPR/CCPA vendor reviews and App Tracking Transparency analysis.
  • AI agents & RAG — wrap the actor as a tool so an LLM can answer "what are the top fitness apps in Japan?" or embed app descriptions + reviews.

How to use

  1. Open the actor and pick a Mode.
  2. Fill the fields that mode needs (the input form shows which apply): a numeric id or bundle appId for app-targeted modes, a query for search/suggest, a devId for developer, or a collection for list.
  3. Set country (storefront, e.g. us, de, jp) and language (e.g. en-us). The same app can differ per storefront.
  4. Optionally set maxResults. Run the actor and export results as CSV, JSON or Excel — or pull them via the Apify API.

Example — search for meditation apps:

{
"mode": "search",
"query": "meditation",
"country": "us",
"language": "en-us",
"maxResults": 50
}

Example — pull the newest reviews for an app:

{
"mode": "reviews",
"id": 324684580,
"country": "us",
"maxResults": 500,
"reviewSort": "RECENT"
}

Call it from your stack via the Apify API (run-sync-get-dataset-items), the JavaScript/Python clients, or no-code tools like Make, n8n and Zapier.

FAQ

Do I need an Apple Developer account or API key?

No. This is an unofficial scraper that reads publicly available data from apps.apple.com and the public iTunes endpoints. You only need an Apify account — no App Store Connect account, no JWT, no API key.

Why are reviews capped at around 500?

That is an App Store limitation, not an actor limit. Apple's public review feed returns up to 10 pages of ~50 reviews per app per country. To gather more, run reviews mode across additional country storefronts and dedupe.

Should I use the numeric id or the bundle appId?

Either works for most modes. Numeric id (e.g. 324684580) is supported everywhere; bundle appId (e.g. com.spotify.client) works for app, reviews, similar, ratings, privacy and versionHistory. For ratings and privacy the actor resolves the bundle ID to the numeric ID automatically.

Can I run several modes in one run?

Each run executes one mode. To combine modes, call the actor multiple times and join the datasets on id. Every item carries a _mode field, so mixed datasets stay easy to filter.

Support

Open an issue on the actor page for bugs, feature requests, or custom modifications. Responses typically within 24 hours.

Changelog

2026-06-05

  • Reliability fix: results are no longer dropped by strict output validation — runs complete cleanly at high volume.
  • Stability & performance hardening; fresh rebuild.

2026-06-04

  • Verified live & refreshed build — reliability/maintenance pass.