Apple App Store Scraper

Scrape Apple App Store data at scale. Extract app metadata, pricing, ratings, reviews, screenshots, developer info, and more for any search query, category, or country.

Built for market researchers, app developers, and data analysts who need structured App Store data without manual collection.

Key Features

• iTunes Search API Integration — Fast, structured app discovery using Apple's official API
• iTunes Lookup API Enrichment — Detailed metadata for every app (bundle ID, size, languages, devices)
• Web Page Scraping — Parses apps.apple.com pages for data not available via API (screenshots, in-app purchases)
• Review Extraction — Scrape up to 50 user reviews per app via Apple's RSS feed
• Multi-Strategy Fallbacks — 4+ extraction strategies ensure maximum data completeness
• Category Filtering — Filter by any of 25+ App Store categories
• Global Coverage — Scrape any App Store country/region (100+ countries)
• Top Charts Access — Discover trending apps via Apple's RSS feeds
• Anti-Detection — Rotating user agents, random delays, header rotation
• Pay Per Event — Only pay for results ($0.004 per app scraped)
• Proxy Support — Residential proxy rotation for high-volume scrapes
• JSON/CSV Export — Download results in any format via Apify dataset

Use Cases

Use Case	Description
App Market Research	Analyze app categories, pricing trends, and market saturation
Competitor Analysis	Track competitor apps' ratings, reviews, and update frequency
ASO (App Store Optimization)	Research keywords, category rankings, and rating benchmarks
Investment Research	Evaluate app portfolios, revenue potential, and growth indicators
Lead Generation	Find app developers and companies by category for B2B outreach
Review Monitoring	Track user sentiment and feature requests across competing apps
Price Intelligence	Monitor pricing strategies across app categories and regions
Academic Research	Collect datasets for mobile app ecosystem studies

Input Parameters

Parameter	Type	Required	Default	Description
searchTerm	String	Yes	—	Keyword or app name to search for (e.g., "fitness tracker", "Spotify")
category	String	No	All	Filter by category: Games, Business, Education, Health & Fitness, etc.
country	String	No	us	Two-letter ISO country code (us, gb, de, jp, br, etc.)
maxResults	Integer	No	50	Maximum apps to scrape (1-500)
includeReviews	Boolean	No	false	Also scrape user reviews (up to 50 per app)
proxyConfiguration	Object	No	None	Apify proxy settings (residential recommended)

Supported Categories

Games, Business, Education, Entertainment, Finance, Food & Drink, Graphics & Design, Health & Fitness, Lifestyle, Medical, Music, Navigation, News, Photo & Video, Productivity, Reference, Shopping, Social Networking, Sports, Travel, Utilities, Weather, Developer Tools, Books, Magazines & Newspapers

Output Data Fields

Each scraped app includes the following fields:

Field	Type	Description
appName	String	App display name
appId	String	Numeric Apple App ID
bundleId	String	iOS bundle identifier (e.g., "com.spotify.client")
developer	String	Developer/company name
developerId	String	Numeric Apple developer ID
developerUrl	String	Developer's App Store page URL
developerWebsite	String	Developer's website URL
price	String	Formatted price (e.g., "Free", "$4.99")
priceNumeric	Number	Numeric price value
currency	String	Currency code (e.g., "USD")
isFree	Boolean	Whether the app is free
rating	Number	Average user rating (0-5)
ratingsCount	Number	Total number of ratings
currentVersionRating	Number	Rating for the current version
currentVersionRatingsCount	Number	Ratings count for current version
reviewsCount	Number	Number of reviews scraped
description	String	Full app description
releaseNotes	String	Latest version release notes
version	String	Current app version
size	String	File size (human-readable, e.g., "145.2 MB")
sizeBytes	Number	File size in bytes
minimumOsVersion	String	Minimum required iOS version
category	String	Primary category name
primaryGenre	String	Primary genre
genres	Array	All genre names
contentRating	String	Age rating (e.g., "4+", "12+", "17+")
iconUrl	String	App icon URL (512px)
screenshots	Array	Screenshot image URLs
appUrl	String	App Store listing URL
supportUrl	String	App support page URL
privacyUrl	String	Privacy policy URL
releaseDate	String	Original release date (ISO 8601)
lastUpdated	String	Last update date (ISO 8601)
languages	Array	Supported language codes
supportedDevices	Array	Compatible device list
hasInAppPurchases	Boolean	Whether app has in-app purchases
reviews	Array	User reviews (if includeReviews is enabled)
country	String	App Store country code
scrapedAt	String	Timestamp of data collection

Review Object Fields (when includeReviews is enabled)

Field	Type	Description
title	String	Review title
body	String	Review text
rating	Number	Star rating (1-5)
reviewer	String	Reviewer display name
version	String	App version reviewed
voteSum	Number	Net helpfulness votes
voteCount	Number	Total votes on review

Code Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "searchTerm": "fitness tracker",
    "category": "Health & Fitness",
    "country": "us",
    "maxResults": 100,
    "includeReviews": True,
}

run = client.actor("sovereigntaylor/appstore-scraper").call(run_input=run_input)

# Iterate over results
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['appName']} — {item['rating']}★ ({item['ratingsCount']} ratings) — {item['price']}")

    if item.get("reviews"):
        for review in item["reviews"][:3]:
            print(f"  Review: {review['title']} ({review['rating']}★)")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const input = {
    searchTerm: 'photo editor',
    category: 'Photo & Video',
    country: 'us',
    maxResults: 50,
    includeReviews: false,
};

const run = await client.actor('sovereigntaylor/appstore-scraper').call(input);

const { items } = await client.dataset(run.defaultDatasetId).listItems();

for (const app of items) {
    console.log(`${app.appName} by ${app.developer} — ${app.price} — ${app.rating}★`);
}

cURL (API Direct Call)

curl "https://api.apify.com/v2/acts/sovereigntaylor~appstore-scraper/runs" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchTerm": "weather app",
    "country": "us",
    "maxResults": 25
  }'

Sample Output

{
    "appName": "Spotify: Music and Podcasts",
    "appId": "324684580",
    "bundleId": "com.spotify.client",
    "developer": "Spotify AB",
    "developerId": "324684580",
    "price": "Free",
    "priceNumeric": 0,
    "currency": "USD",
    "isFree": true,
    "rating": 4.8,
    "ratingsCount": 12543210,
    "description": "With Spotify, you can listen to music and play millions of songs and podcasts for free...",
    "version": "8.9.14",
    "size": "145.2 MB",
    "category": "Music",
    "contentRating": "12+",
    "iconUrl": "https://is1-ssl.mzstatic.com/image/thumb/Purple.../512x512bb.jpg",
    "screenshots": ["https://is1-ssl.mzstatic.com/image/thumb/..."],
    "appUrl": "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580",
    "releaseDate": "2011-07-14T00:00:00.000Z",
    "lastUpdated": "2026-02-28T00:00:00.000Z",
    "languages": ["EN", "ES", "FR", "DE", "JA", "PT"],
    "hasInAppPurchases": true,
    "country": "US",
    "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Extraction Strategies

The scraper uses multiple strategies to ensure comprehensive data extraction:

1. iTunes Search API (Primary) — Searches Apple's public API for apps matching the keyword. Returns structured JSON with up to 200 results per query. Fastest and most reliable source.

2. App Store Web Scraping (Enrichment) — Visits apps.apple.com pages to extract data not available via API, such as detailed screenshots, in-app purchase lists, and visual layout data.

3. iTunes Lookup API (Detail) — Fetches full metadata for individual apps by ID. Used to enrich partial results from RSS feeds or web scraping.

4. Meta Tags / Open Graph (Fallback) — Extracts basic app info from HTML meta tags when other strategies fail. Provides name, description, and icon as a last resort.

5. RSS Top Charts (Discovery) — Accesses Apple's marketing RSS feeds for top free/paid apps by category. Useful for discovering popular apps when search results are insufficient.

6. RSS Reviews Feed (Reviews) — Fetches user reviews via Apple's public RSS review feed. Provides review text, rating, reviewer name, and version info.

Performance & Pricing

Metric	Value
Speed	~60-120 apps/minute (API), ~20-40 apps/minute (with web enrichment)
Cost	$0.004 per app scraped (Pay Per Event)
Max results	500 per run
Reviews	Up to 50 per app (when enabled)
Proxy	Optional (recommended for 100+ results)

Cost Examples

Scenario	Apps	Reviews	Estimated Cost
Quick search	50	No	$0.20
Category analysis	200	No	$0.80
Competitor deep dive	50	Yes (50/app)	$0.20
Full category scan	500	No	$2.00

FAQ

Q: Does this scraper require an Apple Developer account? A: No. The scraper uses Apple's public iTunes Search API, public web pages, and RSS feeds. No authentication or API keys needed.

Q: Can I scrape apps from different countries? A: Yes. Set the country parameter to any two-letter ISO code (e.g., "gb" for UK, "de" for Germany, "jp" for Japan). Pricing and availability vary by region.

Q: Why am I getting fewer results than maxResults? A: Apple's iTunes Search API returns a maximum of 200 results per query. For niche searches, there may be fewer matching apps. The scraper runs supplemental queries to fill the gap, but some searches naturally have limited results.

Q: Are reviews always available? A: Review availability depends on the app and region. Some apps may have no reviews in certain countries, and Apple's RSS review feed may not include all reviews.

Q: How often is the data updated? A: Each run fetches live data from Apple's servers. Ratings, reviews, and rankings change frequently, so run the scraper periodically for fresh data.

Q: Can I scrape a specific app by ID or URL? A: The scraper is designed for keyword search. To look up a specific app, use its name as the search term — the iTunes API will match it precisely.

Q: Is this scraper compliant with Apple's terms? A: This scraper accesses publicly available data through Apple's public APIs and web pages. It implements respectful rate limiting and does not bypass any access controls.

Related Actors

• Google Search Scraper — Scrape Google search results for app-related keywords
• Product Hunt Scraper — Discover trending apps and products on Product Hunt
• G2 Reviews Scraper — Scrape software reviews from G2 and Capterra

Support

For issues, feature requests, or questions, contact ricardo.yudi@gmail.com or open an issue on the actor page.