Shopify store scraping extracts structured product data from any Shopify-powered store — products, variants (size/color), prices, compare-at prices, inventory status, collections, tags and new-product launches — delivered QA-verified as CSV, JSON, API or warehouse feeds. iWeb Data Scraping serves D2C brands, agencies and researchers tracking competitor Shopify stores, where the platform's consistent structure makes clean, complete extraction especially reliable.
Millions of D2C brands run on Shopify, and for anyone competing in that space — rival brands, agencies, aggregators, investors — a competitor's Shopify store is an open book of pricing, assortment and launch strategy. Shopify's consistent structure makes it one of the cleanest platforms to extract, so coverage is near-complete and reliable.
We capture full product catalogs, every variant, pricing and compare-at (the discount signal), inventory status and new launches across the Shopify stores you track. It feeds assortment intelligence and price intelligence, and pairs with TikTok Shop for full D2C-and-social coverage.
If it’s on the page, we can put it in your warehouse — clean, matched, and refreshed on your schedule.
Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.
| store | product | variant | price | compare_at | inventory | published |
|---|---|---|---|---|---|---|
| brand-a.myshopify | Linen Shirt | M / Blue | 2499 | 3499 | in_stock | 2026-06-01 |
| brand-a.myshopify | Linen Shirt | L / Blue | 2499 | 3499 | low_stock | 2026-06-01 |
| brand-b.myshopify | Leather Wallet | Brown | 1899 | 2499 | out_of_stock | 2026-05-12 |
| brand-c.myshopify | Scented Candle | Vanilla | 699 | 899 | in_stock | 2026-07-02 |
[
{
"store": "brand-a.myshopify",
"product": "Linen Shirt",
"variant": "M / Blue",
"price": "2499",
"compare_at": "3499",
"inventory": "in_stock",
"published": "2026-06-01"
},
{
"store": "brand-a.myshopify",
"product": "Linen Shirt",
"variant": "L / Blue",
"price": "2499",
"compare_at": "3499",
"inventory": "low_stock",
"published": "2026-06-01"
},
{
"store": "brand-b.myshopify",
"product": "Leather Wallet",
"variant": "Brown",
"price": "1899",
"compare_at": "2499",
"inventory": "out_of_stock",
"published": "2026-05-12"
},
{
"store": "brand-c.myshopify",
"product": "Scented Candle",
"variant": "Vanilla",
"price": "699",
"compare_at": "899",
"inventory": "in_stock",
"published": "2026-07-02"
}
]
Rival pricing, new launches and assortment across their Shopify stores — as it changes.
Track dozens of D2C competitor stores at once for client strategy — one clean feed.
Assortment breadth, pricing and launch cadence on Shopify brands — evidence for acquisition.
Product titles and descriptions, all variants (size, color, etc.), price per variant, compare-at prices (the discount signal), inventory/stock status, collections and tags, new-product launches, images, vendor/brand, publicly available SKU/barcode, publish dates and related products — a near-complete catalog view.
Yes — because Shopify shares a consistent underlying structure across stores, extraction is reliable and coverage near-complete for any public Shopify storefront. This consistency is why Shopify is one of the cleanest platforms to scrape, versus custom-built sites that vary wildly.
The compare-at price is Shopify's 'was' price — the difference from the selling price reveals the discount a store is running. Tracking it across a competitor's catalog shows their promotional strategy: what's discounted, how deeply, and when, which is invaluable for D2C pricing decisions.
Yes — agencies and brands commonly track dozens of competitor Shopify stores in a single engagement, delivered as one unified feed. New-launch and price-change detection across all tracked stores makes it a live competitive dashboard rather than a one-time snapshot.