App Store extraction / 2026
How to scrape data from App Store in 2026
App Store listings combine product facts with a large interactive storefront. A normalized software product entity keeps the public app identity, developer, description, price, rating, release details, icon, and screenshots in a predictable format.
Quick answer
Use the public page URL you already have.
Send the ordinary public App Store URL to extractor.sh. Choose JSON for stable fields or Markdown when an AI model will read the result directly. The API uses GET, so an identical successful request can be served from Cloudflare’s edge cache.
curl --get 'https://extractor.sh/api/extract' \
--data-urlencode 'url=https://apps.apple.com/us/app/chatgpt/id6448311069' \
--data-urlencode 'format=json'Available data
What you can extract
- App name, numeric ID, developer, and canonical URL
- Integer minor-unit price and display price
- Rating, rating count, category, version, and operating-system requirement
- Public app icon, screenshots, description, and release notes
AI workflows
Where normalized data helps
- App research and discovery agents
- Software catalog enrichment
- App intelligence RAG pipelines
- Cross-store product normalization
AI-ready output
Markdown for models. JSON for systems.
Raw HTML consumes tokens on navigation, scripts, styling, and interface labels. Clean Markdown keeps the readable hierarchy for LLM prompts and RAG chunks. Normalized JSON is better when your application needs an explicit semantic type, source, author, publication date, media, attributes, and collection items.
Always retain the canonical URL from the response. AI-generated summaries should remain traceable to the public source, especially when the underlying page can change.
Boundaries
Public data only
- Only exact public app detail URLs are supported.
- Search results, charts, reviews, account data, and app binaries are not included.
- Availability and prices can vary by country and results may be cached for up to one hour.
extractor.sh does not bypass CAPTCHAs, login walls, paywalls, access controls, or regional restrictions. Review the source’s terms and applicable law before collecting or reusing data.