Shopify Store Scraper — Export Any Shopify Store's Full Product Catalog

Scrape the entire product catalog of any Shopify store in minutes — titles, prices, variants, SKUs, images, inventory status, vendor, tags, and more. No login, no API key, no code. Export straight to CSV, Excel, JSON, or Google Sheets.

Perfect for competitor price monitoring, dropshipping product research, market analysis, catalog migration, and building product datasets.

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🎯 Why use this actor

• See a competitor's full catalog in minutes — pricing, inventory, and product mix, without manually browsing hundreds of pages.
• Research products to sell — pull thousands of real products with prices and images for dropshipping or market research, ready for a spreadsheet.
• Catch changes automatically — new-product mode flags exactly what's new since your last run, so you can monitor a store on a schedule instead of re-checking by hand.

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✨ Features

• Works on any Shopify store — just paste the store URL. The scraper reads each store's public product feed.
• Full catalog, not just one page — automatically paginates through every product in the store.
• Product or variant level — get one row per product (with a price range) or expand to one row per variant (size/color) with variant-level price, SKU, and stock status.
• Rich, flat data — 20+ clean columns ready for spreadsheets. No messy nested JSON.
• Multiple stores at once — pass a list of store URLs and scrape them all in a single run.
• New-product mode — every row is flagged isNew; turn on onlyNewProducts to get only items that didn't exist last time you ran this actor. Great for scheduled catalog-change monitoring.
• Fast & cheap — pure HTTP (no headless browser), so runs are quick and low-cost.
• Robust — automatic retries, graceful handling of failed pages, and a sitemap fallback if a store's product feed is restricted.
• Bounded — set maxItems to cap exactly how much you scrape.

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🚀 Quick start

1. Paste one or more Shopify store URLs into Store URLs.
2. (Optional) Set Max items and toggle Expand variants.
3. Click Start. That's it — the default input runs successfully with zero edits.

Example input

{
  "storeUrls": [
    "https://www.allbirds.com",
    "https://colourpop.com"
  ],
  "maxItems": 100,
  "expandVariants": false,
  "includeBodyHtml": false,
  "onlyNewProducts": false,
  "proxyConfiguration": { "useApifyProxy": true }
}

Field	Type	Default	Description
storeUrls	array	(required)	Store URLs. A homepage URL scrapes the whole catalog; a collection URL (.../collections/sale) scrapes just that collection.
maxItems	integer	100	Max dataset rows to scrape across all stores. 0 = no limit.
expandVariants	boolean	false	One row per variant (size/color) instead of one row per product.
includeBodyHtml	boolean	false	Include the raw HTML product description in a bodyHtml field.
onlyNewProducts	boolean	false	Monitor mode — only output products not seen in a previous run.
proxyConfiguration	object	Apify Proxy (auto)	Proxy settings.

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📦 Output

Each row is a flat, spreadsheet-friendly object. Example (product-level):

{
  "storeUrl": "https://www.allbirds.com",
  "productId": 7205181653072,
  "title": "Men's Cruiser Terralux - Anthracite",
  "handle": "mens-cruiser-terralux-anthracite",
  "productUrl": "https://www.allbirds.com/products/mens-cruiser-terralux-anthracite",
  "currency": "USD",
  "vendor": "Allbirds",
  "productType": "Shoes",
  "tags": "runner, mens, limited",
  "price": 135,
  "priceMax": 135,
  "compareAtPrice": null,
  "available": true,
  "variantsCount": 12,
  "sku": "A12400M080",
  "optionsSummary": "Size",
  "imagesCount": 5,
  "featuredImage": "https://cdn.shopify.com/.../LEFT.png",
  "images": "https://.../1.png, https://.../2.png",
  "publishedAt": "2026-06-30T18:04:23-07:00",
  "createdAt": "2025-08-06T16:52:33-07:00",
  "updatedAt": "2026-07-03T02:53:15-07:00",
  "description": "Crafted using bio-fabrication, designed for movement...",
  "isNew": true
}

Output fields

Field	Type	When	Description
storeUrl	string	Always	Store origin URL.
productId	number	Always	Shopify product ID.
title	string	Always	Product title.
handle	string	Always	Product URL handle/slug.
productUrl	string	Always	Public product page URL.
currency	string | null	Always	ISO currency code, from the store's cart.json.
vendor	string | null	Always	Brand/vendor name.
productType	string | null	Always	Store-defined product type.
tags	string	Always	Comma-separated tags.
publishedAt / createdAt / updatedAt	string | null	Always	ISO timestamps.
description	string	Always	Plain-text description.
isNew	boolean	Always	Not seen in a previous run (see below).
price (min) / priceMax	number | null	Product mode (default)	Price range across variants.
compareAtPrice	number | null	Both modes	Highest compare-at price.
available	boolean	Both modes	In stock.
variantsCount	number	Product mode	Number of variants.
sku	string | null	Both modes	SKU (first variant in product mode).
optionsSummary	string	Product mode	Option names, e.g. "Size, Color".
imagesCount / images / featuredImage	—	Product mode	Image count, all URLs, and the featured image.
variantId / variantTitle	number / string | null	Variant mode (expandVariants: true)	Variant identity.
option1 / option2 / option3	string | null	Variant mode	Variant option values (size/color/etc.).
grams	number | null	Variant mode	Variant weight.
requiresShipping / taxable	boolean	Variant mode	Shipping/tax flags.
position	number | null	Variant mode	Variant display order.
bodyHtml	string	(optional)	Raw HTML description, only when includeBodyHtml is on.

Each row includes the store's currency (ISO code, read from the store's public cart.json). If you scrape multiple stores, prices are still each store's own amounts — use the currency column to interpret them.

🆕 New-product mode

Every row includes isNew — true if that product/variant wasn't present the last time you ran this actor (tracked per Apify account, refreshed each run; your first run always shows isNew: true for everything). Turn on onlyNewProducts to output only newly-appeared items — ideal for a scheduled run that should alert you to new listings instead of re-delivering the whole catalog each time.

Note: this reflects whichever products were actually fetched. If a very large catalog gets truncated by a low maxItems before pagination finishes, later pages aren't checked that run — use a higher maxItems (or 0) together with onlyNewProducts for complete coverage. "Last seen" history is retained for 90 days of inactivity per item.

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💡 Use cases

• Competitor price & catalog monitoring — schedule daily runs with onlyNewProducts to catch new listings automatically.
• Dropshipping / product research — pull thousands of products with prices and images.
• Market & assortment analysis — analyze pricing, product types, and vendors at scale.
• Store migration & backup — export a full catalog to move or archive it.
• Lead lists for agencies — combine with other actors to enrich store data.

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💳 Pricing (pay-per-event)

This actor uses transparent pay-per-event pricing:

Event	Price
Actor start	$0.005 per run
Product scraped	$0.001 per row (product or variant)

Scraping 1,000 products costs about $1.01. Set maxItems to cap your spend exactly.

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❓ FAQ

Does this work on every Shopify store? It works on the vast majority of public Shopify storefronts, which expose a standard product feed. A small number of stores disable that feed; the actor automatically falls back to the store sitemap where possible.

Do I need an account or API key for the target store? No. It only reads publicly available product data — the same data any visitor's browser can load.

Can I scrape only a specific collection? This version scrapes the full store catalog. Filter by productType, tags, or vendor in your spreadsheet after export.

How do I get more than 100 products? Increase maxItems (or set it to 0 for the entire catalog).

How does "new product" tracking work across runs? Each run compares the current catalog against a per-account history of previously-seen product/variant IDs and refreshes it automatically — no setup needed.

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⚖️ Legal

This actor collects only publicly accessible product information. You are responsible for using the data in compliance with applicable laws and the target website's terms. It does not access private, personal, or authenticated data.