📱 Apple App Store iPhone Scraper

🚀 Pull iPhone app data from the App Store in minutes. Search by keyword, browse top charts, or look up specific app IDs. Ratings, reviews, screenshots, prices. No API key.

🕒 Last updated: 2026-05-08 · 📊 30+ fields per app · 🌍 Per-country App Store · 🚫 No auth required

Pull live iPhone app data from the Apple App Store. The actor accepts a search keyword, a top-chart collection, or a list of specific app IDs, walks the App Store, and returns one structured record per app ready for ASO research, competitive intelligence, marketplace tracking, or app marketing workflows.

Every run fetches data live so you get the current state of the App Store at run time. Records include the app name, developer, category, price, currency, rating, review count, screenshots, icon URL, in-app purchase flag, file size, version, supported languages, and a back-reference URL.

👥 Built for	🎯 Primary use cases
ASO and app marketers	Track competitor app rankings and ratings
App developers	Benchmark category leaders and pricing
Investors and analysts	Monitor app market trends
Marketing agencies	Build app intelligence dashboards
Researchers	Study mobile app ecosystem dynamics
Brand and IP teams	Surface unauthorized brand impersonators

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📋 What the App Store iPhone Scraper does

• 🔍 Three input modes. Search by keyword, browse a top chart, or look up specific app IDs.
• 🌍 Per-country App Store. Pass a two-letter country code for region-specific pricing and rankings.
• 📊 Top-chart collections. Top free, top paid, top grossing, new apps (iPhone or iPad).
• 🏷️ Category filter. Filter top-chart browsing by App Store category ID (Games, Finance, Education, etc.).
• 📊 Engagement metrics. Average rating, review count, ranking signals.
• 🖼️ Visual assets. Icon URL plus screenshot URL list.

The scraper accepts your input mode and walks the App Store API. Records stream into the dataset as apps are processed.

💡 Why it matters: the App Store is the canonical iOS marketplace but its UI lacks bulk export. A live, structured pull beats manual scraping for ASO research, competitive monitoring, and app marketing workflows.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Google Sheets via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
searchTerm	string	Search Term	Keyword to search apps. Empty when using collection or app IDs.
appIds	array	App IDs	Specific App Store IDs (numeric). Highest priority.
collection	enum	Collection	Top chart: topfreeapplications, toppaidapplications, topgrossingapplications, etc.
category	string	Category	Category ID to filter collection (e.g. 6014 Games, 6015 Finance, 6007 Productivity).
country	string	Country Code	Two-letter country code (us, gb, de, jp).
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
proxyConfiguration	object	Proxy Configuration	Proxy settings. Defaults to Apify residential pool.

Example 1. Top free iPhone games in the US.

{
  "collection": "topfreeapplications",
  "category": "6014",
  "country": "us",
  "maxItems": 50
}

Example 2. Lookup specific apps by ID.

{
  "appIds": ["310633997", "284882215", "544007664"],
  "country": "us",
  "maxItems": 3
}

⚠️ Good to Know: input priority is appIds > searchTerm > collection. Pass only one to keep results predictable.

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📊 Output

The dataset returns one structured record per app. Each record carries identifiers, name, developer, category, price, rating, review count, icon and screenshots, file size, version, supported languages, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 appId	string	310633997
📝 name	string	WhatsApp Messenger
👤 developer	string	WhatsApp Inc.
🆔 developerId	string	310633998
🏷️ category	string	Social Networking
🏷️ categoryId	string	6005
💰 price	number	0
💱 currency	string	USD
🆓 isFree	boolean	true
💳 hasInAppPurchases	boolean	false
⭐ rating	number	4.7
💬 reviewCount	number	4250000
🖼️ iconUrl	string (url)	https://is1-ssl.mzstatic.com/.../icon.png
🖼️ screenshots	array	["https://is1-ssl.mzstatic.com/.../1.png", ...]
📏 fileSize	string	385.4 MB
🏷️ version	string	2026.5.1
📅 releaseDate	ISO date	2009-05-03
📅 currentVersionReleaseDate	ISO date	2026-05-01
🌐 languages	array	["English", "Spanish", "French", "..."]
📱 supportedDevices	array	["iPhone", "iPad", "iPod touch"]
📃 description	string	Simple. Reliable. Private.
🔗 appStoreUrl	string (url)	https://apps.apple.com/us/app/whatsapp-messenger/id310633997
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (popular free app)

{
  "appId": "310633997",
  "name": "WhatsApp Messenger",
  "developer": "WhatsApp Inc.",
  "developerId": "310633998",
  "category": "Social Networking",
  "categoryId": "6005",
  "price": 0,
  "currency": "USD",
  "isFree": true,
  "hasInAppPurchases": false,
  "rating": 4.7,
  "reviewCount": 4250000,
  "iconUrl": "https://is1-ssl.mzstatic.com/.../icon.png",
  "screenshots": [
    "https://is1-ssl.mzstatic.com/.../1.png",
    "https://is1-ssl.mzstatic.com/.../2.png"
  ],
  "fileSize": "385.4 MB",
  "version": "2026.5.1",
  "releaseDate": "2009-05-03",
  "currentVersionReleaseDate": "2026-05-01",
  "languages": ["English", "Spanish", "French", "Portuguese"],
  "supportedDevices": ["iPhone", "iPad", "iPod touch"],
  "description": "Simple. Reliable. Private.",
  "appStoreUrl": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. Paid app with IAP

{
  "appId": "880316202",
  "name": "Procreate",
  "developer": "Savage Interactive Pty Ltd",
  "category": "Graphics & Design",
  "categoryId": "6027",
  "price": 12.99,
  "currency": "USD",
  "isFree": false,
  "hasInAppPurchases": false,
  "rating": 4.8,
  "reviewCount": 312000,
  "fileSize": "847.2 MB",
  "version": "5.4",
  "releaseDate": "2011-04-08",
  "supportedDevices": ["iPad"],
  "appStoreUrl": "https://apps.apple.com/us/app/procreate/id425073498",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (new app, low engagement)

{
  "appId": "6700123456",
  "name": "New Indie App",
  "developer": "Solo Dev",
  "category": "Productivity",
  "categoryId": "6007",
  "price": 0,
  "isFree": true,
  "hasInAppPurchases": true,
  "rating": null,
  "reviewCount": 5,
  "version": "1.0",
  "releaseDate": "2026-05-01",
  "appStoreUrl": "https://apps.apple.com/us/app/new-indie-app/id6700123456",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to the iPhone App Store so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects the App Store as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured app data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ App Store iPhone Scraper (this Actor)	$5 free credit, then pay-per-use	Full App Store catalog per country	Live per run	Search, top charts, app IDs, country	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid ASO platforms	$$$ monthly per seat	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the App Store iPhone Scraper page on the Apify Store.
3. 🎯 Pick mode. Either set a searchTerm, pick a collection + category, or paste appIds.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 ASO and app marketing Track competitor rankings in your category Benchmark ratings and review counts Identify keyword opportunities Power keyword research and competitor mapping	🏢 App developers Benchmark category leaders for inspiration Pricing research across competitors Track new entrants in your space Surface IAP and pricing patterns by category
🎯 Investors and analysts Monitor app market trends across countries Track app launches and market share shifts Build category-rollup metrics Surface emerging apps before they trend	🛠️ Engineering and product Prototype app-intel products without owning a crawler Replace fragile in-house App Store scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating App Store iPhone Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of top charts. Combine with the Apify dataset diff tools to track ranking changes between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test Apple App Store iPhone Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Apple App Store iPhone Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Apple App Store iPhone Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using Apple App Store iPhone Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Apple App Store iPhone Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use Apple App Store iPhone Scraper?

Yes. Apple App Store iPhone Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

App Store iPhone Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 📱 Apple App Store Watch Scraper - Apple Watch app catalog
• 🛍️ Chrome Web Store Scraper - Chrome extension catalog
• 🐳 Docker Hub Scraper - Docker image catalog with stats
• 🛒 Shopify App Store Scraper - Shopify app marketplace
• 📱 TikTok Video Scraper - TikTok videos with metadata

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apple. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and ASO use. Users are responsible for compliance with Apple's Terms of Service and applicable law.