Shopify Store Catalogue

Exports the entire product catalogue of any Shopify storefront: every product, every variant with SKU and barcode, and optionally each product's position inside every collection. It reads the public JSON that Shopify stores serve themselves, so no browser, no login and no proxy are needed. Point it at a domain such as allbirds.com and get a catalogue you can diff week over week.

What you get

• One row per product with title, vendor, product_type, tags, handle and product_url.
• Price range from the variants: price (lowest), price_max (highest), compare_at_price and currency.
• Stock signal: available is true when at least one variant is buyable.
• Variant rows on request, with sku, barcode, variant_title, option1 to option3 and their own price and available.
• Collection structure on request: collection_product rows carry collection, collection_title and position, the order inside that collection.
• Catalogue freshness: created_at, updated_at, published_at, image_url and images_count.
• Every store is verified first, so a domain that is not Shopify is reported rather than guessed at.

Input

Give it one or more store domains or URLs and choose how deep to go.

{
  "stores": ["allbirds.com"],
  "includeCollections": true,
  "maxProducts": 500
}

• stores (required): domains or URLs such as "allbirds.com" or "gymshark.com".
• includeCollections: also emit one row per product per collection, with its position there.
• collections: optional collection handles, for example "mens-shoes", to pull only those.
• includeVariants: emit a row per variant with SKU, barcode and option values.
• maxProducts and maxCollections: caps per store. 0 means everything.
• proxyConfiguration: optional and off by default. Enable one only if a store rate-limits you.

Output

One row per product, per variant, or per product-in-collection, tagged by row_type.

{
  "row_type": "product",
  "store": "allbirds.com",
  "shop_name": "Allbirds",
  "product_id": "6612104773731",
  "handle": "mens-wool-runners",
  "title": "Men's Wool Runners",
  "vendor": "Allbirds",
  "product_type": "Shoes",
  "price": 98,
  "price_max": 110,
  "compare_at_price": 125,
  "currency": "USD",
  "available": true,
  "variants_count": 24,
  "images_count": 8,
  "product_url": "https://www.allbirds.com/products/mens-wool-runners",
  "updated_at": "2026-09-10T14:02:11-07:00",
  "fetched_at": "2026-09-12T10:41:02.118Z"
}

currency comes from the store's own metadata and is null when the store does not publish it. compare_at_price is null when nothing is on sale, and position is null on plain product rows: order only exists inside a collection.

Use cases

• Competitor assortment tracking: diff today's product rows against last week's to see launches and delistings.
• Price and discount monitoring across a whole catalogue, using price, price_max and compare_at_price.
• Merchandising analysis: collection, position and product_type show what a brand pushes to the top.

Notes and limits

• Products come 250 at a time and the actor pages through them, so several thousand products is still one run.
• A domain that is not Shopify, or whose product feed is switched off, is reported as not Shopify. Other stores continue and the run still succeeds.
• A password-protected store is reported as blocked rather than retried forever.
• The feed exposes only what the storefront publishes: no cost prices, no inventory counts, no sales figures.
• Live runs: allbirds.com returned 359 rows covering 30 products, 307 variants and 3 collections in about 70 seconds.

FAQ

Do I need a proxy? No. The public Shopify JSON answers fine without one and the actor defaults to no proxy. Turn one on only if a store starts rate-limiting you.

How many results can I get? The whole catalogue. Products are fetched 250 per page up to 400 pages per store. Cap a run with maxProducts and maxCollections.

Does it need a login or an API key? No Shopify app, no admin API token and no store permissions.

What happens if the site is not Shopify? The store is verified first and reported as not Shopify, with the reason in the log. The rest of the run continues.

How do I get category structure? Set includeCollections. You get a collection_product row per product per collection with position, the store's own merchandised order.