Apple App Store Scraper + AI

Scrape iOS app data, ratings and customer reviews from the Apple App Store — then optionally turn them into AI insights that most scrapers don't give you: summarized review themes, sentiment breakdowns, App Store Optimization (ASO) suggestions, and a competitor report.

No API key, no login, no proxies. The scraper uses Apple's fast, public iTunes endpoints, and the AI runs on a built-in model (billed as platform usage) — you don't need to bring your own AI key.

Why this Actor

Most App Store scrapers stop at raw data. This one goes a step further: it reads the reviews for you and tells you what users actually love, hate, and want — and how to optimize your listing.

• 🍎 Reliable — pure public iTunes API, no brittle HTML parsing.
• ⚡ Fast — JSON endpoints, no browser rendering.
• 🌍 150+ storefronts — any App Store country.
• 🤖 AI insights (optional) — review analysis, ASO, competitor report.
• 💸 Pay only for what you use — cheap base scraping, premium per AI insight.

What you can do with it

• App developers — see exactly what reviewers complain about and request.
• ASO / marketing teams — get keyword and listing suggestions in seconds.
• Market researchers — compare competitors and spot gaps.
• Investors / analysts — track ratings, pricing and positioning across a category.

Input

Field	Type	Description
searchTerms	array	Keywords to search the App Store (e.g. meditation).
appIds	array	Specific app IDs or App Store URLs to scrape directly.
country	string	Two-letter storefront code (us, gb, de, tr, …). Default us.
maxAppsPerTerm	integer	Max apps per search term (1–200). Default 25.
includeReviews	boolean	Fetch customer reviews. Default true.
maxReviewsPerApp	integer	Max reviews per app (Apple caps ~500). Default 100.
aiEnrichment	boolean	Master switch for AI insights. Default false.
aiReviewSummary	boolean	AI review analysis (sentiment, complaints, praises, requests).
aiAso	boolean	AI ASO suggestions (title, subtitle, keywords, description).
aiCompetitorReport	boolean	One AI market report comparing all scraped apps.
aiLanguage	string	Language for AI output. Default English.

Example input

{
    "searchTerms": ["meditation"],
    "country": "us",
    "maxAppsPerTerm": 10,
    "includeReviews": true,
    "maxReviewsPerApp": 100,
    "aiEnrichment": true,
    "aiReviewSummary": true,
    "aiAso": true,
    "aiLanguage": "English"
}

Output

One row per app, plus an optional competitor_report row. Each app row includes core metadata, the fetched reviews, and any AI insights you enabled:

{
    "recordType": "app",
    "appId": 1063171574,
    "appName": "Calm",
    "sellerName": "Calm.com, Inc.",
    "primaryGenre": "Health & Fitness",
    "price": 0,
    "averageRating": 4.79,
    "ratingCount": 1700000,
    "url": "https://apps.apple.com/us/app/calm/id571800810",
    "reviewsCount": 100,
    "aiSentiment": { "positive": 72, "neutral": 14, "negative": 14 },
    "aiTopComplaints": ["Subscription auto-renew confusion", "Too many paywalls"],
    "aiTopPraises": ["Sleep stories", "Calming voices"],
    "aiFeatureRequests": ["Offline mode", "Family plan"],
    "aiReviewSummary": "Users love the sleep content and narration...",
    "aiAso": {
        "suggestedTitle": "Calm: Sleep & Meditation",
        "keywords": ["sleep", "meditation", "relax", "anxiety", "..."]
    }
}

Pricing

This Actor uses pay-per-event pricing:

Event	What it covers
App / review result	Each app and review row scraped (cheap).
AI review analysis	Per app analyzed with AI.
AI ASO suggestions	Per app with ASO suggestions.
AI competitor report	Once per run.

You only pay for the AI features you turn on. Leave AI off and it's a fast, low-cost App Store data scraper.

FAQ

Do I need an OpenAI/AI API key? No. The AI runs on a built-in model billed as platform usage.

Where do reviews come from? Apple's public customer-reviews RSS feed (most recent first), which caps at roughly 500 reviews per app per storefront.

Is this affiliated with Apple? No. It only reads publicly available data.

Related Actors — build a full pipeline

Combine Actors to go from app research to outreach:

• App research → publisher outreach: Use this Actor to find apps and their publishers in a category, then feed the publisher domains into the AI Lead Enricher to get emails, socials and a personalized opener — ideal for SDKs, monetization tools and agencies selling to app studios.
• Spot buying signals: Pair with Hiring Signals — Job Board Scraper + AI to see which app companies are scaling their team (a strong spend signal) before you reach out.

Workflow: App Store Scraper (targets) → AI Lead Enricher (contact + opener) → your CRM.