App Store Scraper

Scrape Apple App Store app details and customer reviews at scale — using Apple's official iTunes API and Reviews feed. Clean JSON data, no HTML parsing, blazing fast.

🎯 What it does

Search apps by keyword or fetch specific apps by ID, and for each app get:

• Full metadata: name, developer, category, price, version, size, content rating
• Ratings: average rating, total rating count, current-version rating
• Customer reviews: rating, title, text, author, version, date (up to 500/app)
• Description, release notes, screenshots, icon, supported languages
• Release date + last updated date

Works across any country storefront (us, gb, tr, de, jp, …).

💡 Use cases

• App Store Optimization (ASO) — track ratings, reviews, keywords across competitors
• Competitor monitoring — watch rival apps' ratings and user sentiment
• Review analysis / sentiment — feed reviews into LLMs for insight mining
• Market research — analyze a category's top apps
• Lead generation — find app developers in a niche

📥 Input

Field	Type	Description
searchTerms	array	Keywords to search the store
appIds	array	Specific numeric App Store IDs
country	string	Storefront code (us, gb, tr…)
includeReviews	boolean	Fetch reviews (default true)
maxReviewsPerApp	integer	Reviews per app (default 100)
searchLimit	integer	Apps per search term (default 20)

Example input

{
  "searchTerms": ["habit tracker"],
  "country": "us",
  "includeReviews": true,
  "maxReviewsPerApp": 100
}

📤 Output

{
  "appId": "310633997",
  "name": "WhatsApp Messenger",
  "developer": "WhatsApp Inc.",
  "category": "Social Networking",
  "rating": 4.69,
  "ratingCount": 18194258,
  "price": 0,
  "version": "2.24.x",
  "reviews": [
    { "rating": 5, "title": "Great app", "text": "...", "author": "user123", "date": "2026-07-01" }
  ],
  "reviewsCount": 100
}

⚡ Performance

Uses Apple's JSON endpoints directly — no browser, no HTML scraping. Fetches an app + 100 reviews in seconds.