App Store Market Intelligence 📱

Pull rankings, reviews, keyword/ASO data, and app metadata from any Apple App Store storefront — US, Korea, Japan, and 150+ countries — with no API key and no setup. Built on Apple's official public feeds, so it runs fast and reliably from anywhere.

Whether you track competitors, research a market before launch, monitor your own app's reviews, or feed app data into a dashboard, this Actor returns clean, structured JSON you can use immediately.

What it does

Choose one of four modes:

Mode	What you get
Reviews + analysis	The most-recent customer reviews for any app plus an instant summary: rating histogram, positive/negative %, and the top keyword themes driving praise and complaints (works in any language — Korean, Japanese, English…).
Top-chart rankings	Top Free / Paid / Grossing / New apps for a country, optionally filtered by category (Games, Finance, Shopping…).
Keyword search (ASO)	Where apps rank for a search term in a given storefront — the core signal for App Store Optimization.
App details	Full metadata for specific apps: rating, rating count, version, size, release + update dates, description, screenshots, and more.

Why this Actor

• 🌏 Every storefront, first-class — most scrapers assume the US store. Here Korea (kr), Japan (jp), and every other storefront are equal citizens. Great for Asia-market research.
• 🧠 Reviews you can act on — you don't just get raw review rows, you get why an app is rated the way it is: a rating breakdown and the recurring themes in positive vs. negative reviews.
• ⚡ Reliable & keyless — uses Apple's public CDN feeds. No login, no proxies, no breakage from anti-bot walls.
• 🧾 Clean schema — stable field names, ready for a spreadsheet, database, or BI tool.

Example inputs

Analyze a competitor's Korean reviews

{
  "mode": "reviews",
  "country": "kr",
  "appIds": ["362057947"],
  "maxReviewsPerApp": 200,
  "includeReviewAnalysis": true
}

Top-grossing games in the US

{ "mode": "rankings", "country": "us", "chart": "topgrossing", "category": "games", "maxItems": 50 }

Who ranks for "배달" (food delivery) in Korea

{ "mode": "search", "country": "kr", "searchTerm": "배달", "maxItems": 25 }

Full details for specific apps

{ "mode": "appDetails", "country": "jp", "appIds": ["310633997", "389801252"] }

Finding an App ID: open any App Store link and copy the number after id, e.g. apps.apple.com/kr/app/kakaotalk/id362057947 → 362057947.

Output

Rows are written to the dataset. Review runs emit one reviewSummary row per app followed by review rows:

{
  "recordType": "reviewSummary",
  "appId": "362057947",
  "country": "kr",
  "count": 200,
  "averageRating": 2.6,
  "ratingHistogram": { "5": 58, "4": 17, "3": 16, "2": 4, "1": 105 },
  "negativePct": 54.5,
  "positivePct": 37.5,
  "topKeywordsNegative": [ { "keyword": "업데이트", "count": 41 }, { "keyword": "숏폼", "count": 33 } ],
  "topKeywordsPositive": [ { "keyword": "좋아요", "count": 22 } ]
}

Rankings, search, and app-details rows include rank/searchRank, title, developer, category, rating, ratingCount, price, appId, and more. Export any run to JSON, CSV, Excel, or via API.

Common use cases

• Competitive intelligence — track rival apps' rankings and review sentiment over time (schedule daily runs).
• Market entry research — see what dominates the Korean/Japanese charts before you localize.
• ASO — monitor keyword rankings and mine review language for the terms real users use.
• Reputation monitoring — get alerted to a spike in 1-star reviews and the themes behind them.
• Investment / trend research — watch top-grossing charts across countries.

Notes

• Apple's public review feed returns up to ~500 most-recent reviews per app per storefront.
• All data comes from Apple's public endpoints; this Actor performs no login and collects no private data.
• Country codes are ISO two-letter storefront codes (us, kr, jp, gb, de, fr, cn, in, br, …).