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Shopify extraction / 2026

How to scrape data from Shopify in 2026

Shopify storefront themes vary widely even though their public products share common concepts. Returning a consistent product entity or catalog feed removes theme-specific presentation from downstream AI and data work.

Quick answer

Use the public page URL you already have.

Send the ordinary public Shopify 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://www.allbirds.com/products/mens-cruiser-shadow-blue-natural-white-sole' \
  --data-urlencode 'format=json'

Available data

What you can extract

  • Public product titles and descriptions
  • Variants, prices, and product links when available
  • Public collection and storefront catalogs
  • Up to 50 normalized catalog items per feed

AI workflows

Where normalized data helps

  • Commerce assistants and product search
  • Catalog RAG systems
  • Public market and assortment research
  • 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

  • Stores can disable or protect public product data.
  • Checkout, customer, order, and administrative data is unavailable.
  • Catalog feeds are capped at 50 products.

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.