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📱 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

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Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/apple-app-store-iphone-scraper on Apify. Call:ApifyClient("TOKEN").actor("parseforge/apple-app-store-iphone-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs:maxItems(integer,default10),searchTerm(string,default"game"),appIds(array),collection(string),category(string),country(string,default"us"). Full actor spec: fetch build via GEThttps://api.apify.com/v2/acts/parseforge~apple-app-store-iphone-scraper(Bearer TOKEN). Get token: https://console.apify.com/account/integrations

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.

📋 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.

🎬 Full Demo

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

⚙️ Input

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.

📊 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

📦 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"
}

✨ Why choose this Actor

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

📈 How it compares to alternatives

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

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

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

🔌 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.

❓ 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.

🔗 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.

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

⚠️ 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.