App Store Scraper — Apps & Reviews (iTunes)

Scrape Apple App Store apps and their customer reviews into one unified dataset — using Apple's own public iTunes APIs. No login, no proxies, no browser. Just clean, structured data.

Search the store by keyword, or look up specific apps by App ID or bundle ID, across any country storefront. Optionally pull each app's most recent reviews for sentiment and product research.

What you get

App rows (recordType: "app"):

Field	Description
appId	numeric App Store track ID
bundleId	app bundle identifier (e.g. com.google.Gmail)
title	app name
developer / developerId	seller / developer name and iTunes artist ID
price / formattedPrice / currency	price (0 for free)
rating	average user rating (0–5)
ratingCount	number of ratings
genre / genres	primary genre and all genres
contentRating	age rating (e.g. 4+)
version	current version
size	download size in bytes
minimumOsVersion	minimum iOS version
releaseDate / currentVersionReleaseDate	ISO timestamps
url	App Store page link
artworkUrl	app icon
description	full store description
country	storefront queried

Review rows (recordType: "review", when Include reviews is on):

Field	Description
reviewId	unique review ID
appId / appName	which app the review belongs to
rating	1–5 stars
title / content	review text
author	reviewer name
version	app version reviewed
updatedAt	ISO timestamp
voteSum / voteCount	helpfulness votes

Input

{
  "search": ["note taking"],
  "appIds": ["1232780281"],
  "bundleIds": ["com.google.Gmail"],
  "country": "us",
  "limit": 50,
  "includeReviews": false,
  "reviewsPerApp": 100
}

• search — keywords to search the App Store. Each returns up to limit apps.
• appIds — numeric App Store IDs (the number after /id in the store URL).
• bundleIds — bundle identifiers, e.g. com.google.Gmail.
• country — two-letter storefront code (default us).
• limit — max apps per search term (1–200).
• includeReviews — also fetch recent reviews for each app.
• reviewsPerApp — how many reviews per app (up to 500).

Provide at least one of search, appIds, or bundleIds. Apps found across multiple sources are de-duplicated by App ID.

Sample output

One dataset row (an app; a review row looks similar with recordType: "review"):

{
  "recordType": "app",
  "appId": "1438388363",
  "bundleId": "com.davetech.habit",
  "title": "Habit Tracker",
  "developer": "Inner Grow Limited",
  "price": 0,
  "currency": "USD",
  "formattedPrice": "Free",
  "rating": 4.79262,
  "ratingCount": 145665,
  "genre": "Productivity",
  "genres": ["Productivity", "Health & Fitness"],
  "contentRating": "4+",
  "version": "2.14.23",
  "size": 339836928,
  "minimumOsVersion": "15.0",
  "releaseDate": "2019-01-31T09:10:14.000Z",
  "currentVersionReleaseDate": "2026-08-15T15:18:18.000Z",
  "url": "https://apps.apple.com/us/app/habit-tracker/id1438388363",
  "artworkUrl": "https://is1-ssl.mzstatic.com/.../512x512bb.jpg",
  "description": "Habit Tracker: A simple daily planner to schedule and track your routine…",
  "country": "us"
}

Why it's reliable & cheap

Every request hits Apple's official public iTunes endpoints (Search, Lookup, Customer Reviews RSS) — no headless browser, no anti-bot walls, no API key. Transient errors (rate limits, 5xx, network blips) are retried automatically, and an unreachable or empty source is reported and skipped — one bad source never fails the whole run.

Use cases

• ASO — track titles, ratings, versions, and descriptions of competitor apps
• Market & competitive intelligence — who's shipping what, at what price, rated how well
• Review mining — feed recent reviews into sentiment analysis or an AI product-insights pipeline
• Portfolio monitoring — watch your own apps' ratings and versions over time

Pricing

Pay-per-event: you're billed per app (and per review) returned. Runs that return nothing cost nothing.