The Apple App Store Product API fetches the full product record for any iOS, iPadOS, or macOS app as structured JSON. Feed it App Store IDs or URLs and get one row per app per country: title, developer, price, ratings, version history, screenshots, in-app purchases, supported languages, privacy cards, and a sample of reviews.

This is App Store pricing intelligence without the manual page-reading. Analysts compare what an app charges across dozens of storefronts, product and ASO teams run competitive research, and AI agent builders pull live app metadata as agent context. One app across three countries returns three rows, the shape you want for a pricing matrix. Honest limits: it carries the small on-page review sample (about three), not the full corpus, and reports one storefront per row, so list the countries you care about.

Example Tasks & Use Cases

Compare App Store prices across country stores - one app, many storefronts, localized price per row for a regional pricing sweep.

Benchmark competitor iOS apps - run a set of rival apps through one pull and build a current price-and-feature comparison table.

Extract in-app purchase price lists - pull the full monetization ladder, the part Apple's own lookup will not give you.

Look up any app by App Store ID - the minimal single-app run, handy as a smoke test before you scale up.

Track iOS app ratings and version history - run it on a schedule to accumulate a longitudinal record of rating drift and release cadence.

iOS app details in Claude via MCP - wire the Actor into Claude as a tool and pull a live app record before answering questions about it.

Works with MCP

The Actor runs over the Model Context Protocol, so Claude, Claude Code, and Cursor can call it as a tool. Ask your agent to pull an app's App Store record and its in-app purchase prices, and it returns full app records as tool output, no scraping code. See the full Apple App Store Product API on Apify.

Keywords & Topics

Apple App Store product API, App Store data scraper, iOS app pricing intelligence, in-app purchase price list, ASO competitive research, app metadata for AI agents, App Store product data as JSON.