Footwear Data: Customs Lines, Pair Counts, Shoe Images and Resale Prints · Head-to-head
StockX - Sneaker Resale Marketplace (Prices, Sales History, Bids/Asks) vs Zappos - Structured Footwear Catalog (50k+ SKUs)
Which footwear data: customs lines, pair counts, shoe images and resale prints data fits your job: StockX - Sneaker Resale Marketplace, or Zappos - Structured Footwear Catalog. API, files, or your warehouse. Daily, weekly, or hourly.
StockX - Sneaker Resale Marketplace (Prices, Sales History, Bids/Asks)
Zappos - Structured Footwear Catalog (50k+ SKUs)
Where the fields line up
No shared field names. These two answer different questions.
| Field | StockX - Sneaker Resale Marketplace | Zappos - Structured Footwear Catalog |
|---|---|---|
Retail Price | documented | not in this set |
Last Sale | documented | not in this set |
52-Week High / 52-Week Low | documented | not in this set |
Volatility | documented | not in this set |
Number of Sales | documented | not in this set |
Sales History time series | documented | not in this set |
Asks / Bids by Size | documented | not in this set |
Catalog product object (style code, brand, category) | documented | not in this set |
product_name | not in this set | Product name exactly as listed, fit/scale qualifier included where the retailer appends one. |
brand | not in this set | Brand of manufacture; kids' lines sometimes carry a suffix distinguishing them from adult ranges. |
sku | not in this set | The retailer's numeric product identifier, the value used in product-page addresses. |
color | not in this set | Colorway name of the specific style variant - often multi-tone names rather than plain colors. |
Coverage, side by side
| StockX - Sneaker Resale Marketplace | Zappos - Structured Footwear Catalog | |
|---|---|---|
| Geographic | Global marketplace with ten localized sites pricing in local currency | United States only, USD prices, US sizing |
| Temporal | Trailing 12-month sales history per SKU | Live current-assortment snapshot |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| StockX - Sneaker Resale Marketplace | Zappos - Structured Footwear Catalog | |
|---|---|---|
| Publisher | StockX | Zappos (Amazon) |
| Subject lens | Sneaker resale market: transactions, bids, asks, price history | US retail footwear catalog: assortment, prices, ratings, merchandising |
| Scale | Tens of thousands of sneaker SKUs plus streetwear, collectibles, handbags and watches (catalog size not published) | 47,306 product pages; 25,492 shoes in the Shoes category alone; 568 brands |
| Geography | Global marketplace with ten localized sites pricing in local currency | United States only, USD prices, US sizing |
| Temporal reach | Trailing 12-month sales history per SKU | Live current-assortment snapshot |
| Grain | SKU x size x day for transactions; style/colorway for the catalog | SKU/colorway (productId + colorId), rollable to product, brand and category |
| Formats | JSON, HTML | HTML, JSON-LD, XML |
| Distinctive surface | Size-level bid/ask ladder, volatility, sales counts, 52-week range | 22 filter facets, review counts, stock status, marketing copy, image sets |
| Field dictionary confidence | Inferred | Verified |
| Best for | Aftermarket price research and sneaker-economy tracking | Assortment, pricing and review analytics on the US shoe shelf |
What each does better
StockX - Sneaker Resale Marketplace
It documents the aftermarket, which the shelf cannot see. That is enough to answer questions no shelf snapshot can touch - which sizes clear at a premium, how fast a colorway is moving, and how far the current trade sits from the trailing-year range.
Its grain is finer where it matters. Transactions land at SKU-by-size-by-day, against Zappos' colorway-level snapshot, and its footprint is global rather than single-country: ten localized sites pricing in local currency, against a US-only, USD catalog. The record also reaches past sneakers into streetwear, collectibles, handbags and watches, though this dataset centers the sneaker side.
The honest caveat sits in the dictionary itself: StockX's field definitions are marked inferred, so treat its market stats as observed behavior rather than contract-grade schema.
Zappos - Structured Footwear Catalog
Everything about it is counted. Zappos' snapshot resolves to 47,306 product pages, 25,492 of them in the Shoes category alone, across 568 brands - publishable denominators, where StockX's catalog size goes unstated.
Its 22 navigation facets make the assortment sliceable on dimensions resale data ignores entirely: shoe width, materials, occasion, pattern, theme, department, kids' sizing. The sample rows show the density. A New Balance Fresh Foam 625 v1 Bungee Lace in little-kid sizing lists at 59.99 USD rated 3 from 4 reviews; a Nike Pegasus 42 in little-kid/big-kid sizing lists at 100.80 USD rated 4 from 11 reviews; a Nike Air Max Invigor lists at 76.96 USD rated 5 from a single review; and a Birkenstock Arizona Soft Footbed in Habana Oiled Leather carries 154.95 USD, 2,667 ratings and a Best Seller badge.
There is even a research lineage: UT-Zappos50K, the standard academic shoe-image benchmark, was originally sourced from this catalog, which says something about how well-structured the underlying product records are. Full detail on the Zappos footwear catalog dataset; the image benchmark itself lives at UT-Zappos50K.
Or take both in one feed
Yes, and the pair is genuinely complementary: one supplies the retail anchor, the other the aftermarket read. Resale premium falls out as the spread between the two.
Plan for the join. There is no shared key: a numeric product identifier plus color identifier on one side, a style code on the other, and colorway naming that drifts between retailers. Matching on brand plus model plus normalized colorway gets you most of the way; expect manual adjudication on the long tail. Also mind the grain mismatch - size-day trades versus colorway snapshots - so aggregate StockX to colorway before comparing.
Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Do StockX and Zappos cover the same fields?
Partially. Market depth, volatility and sales history exist only in StockX; stock status, review counts, descriptions and navigation facets exist only in Zappos.
Which dataset covers more footwear products?
Zappos publishes its own counts: 47,306 product pages in the current snapshot, 25,492 in the Shoes category, across 568 brands. StockX's total is not published - its record describes tens of thousands of sneaker SKUs, with streetwear, handbags and watches beyond them. On counted breadth Zappos leads; on depth per trading sneaker, StockX does.
How current is the data I receive?
On your schedule: Datadory delivers either dataset daily, weekly, or hourly - your call - so both sides of the comparison stay in sync with whatever cadence your models run. Underneath, remember the shapes differ: StockX carries a trailing 12-month sales window per SKU, while Zappos describes the current assortment at SKU/colorway level.