Fashion Retail Market Data API - Prices, Discounts, Stock

Pull competitor product data from thousands of fashion, beauty and home retailers: current price, full price, discount, stock and sell-out for every product option, filtered by retailer, brand, category, market and week.

What it returns

• One row per product option: one product in one colourway at one retailer, for the week you choose.
• Pricing: current selling price, full (highest observed) price, first price, advertised discount %, deepest and first discount %, and whether it has ever been discounted.
• Stock and demand: in stock, sell-out % of sizes, number of sizes (SKUs), restock count, days in stock and days to majority sell-out.
• Product attributes: brand, gender, predominant colour and pattern, fabric composition with percentages, category path, activewear type and sport, average rating and number of reviews.
• Links: product page URL and image URLs.
• Every column the provider returned is kept under attributes, with the most used ones lifted into their own columns.
• A retailer name that matched nothing, or a query with no products, becomes its own uncharged row with a note, never a silent gap.

The data comes from the EDITED market data API, which covers 90,000 brands and more than 5 billion SKUs across apparel (with footwear and accessories), beauty and home, with weekly history for the past two years.

Input

Field	What it does
Retailers	Retailer names or slugs, one per line (Zara, H&M, ASOS). Each is looked up, then searched separately, up to 50 options each.
Market	Two-letter market code such as UK, US, DE. Also picks the right country for each retailer.
Product category	A category name (dresses, jeans, sneakers, mascara) or numeric id. Includes everything beneath it.
Brands	Brand names, matched as a phrase. Up to 50.
Gender, Colours, Patterns, Fabric contains, Retailer tier	Dropdowns with the provider's own fixed values.
Product name search	Full-text search on the product name, with OR, NOT and quoted phrases.
Minimum / maximum price	In normal currency units.
Minimum discount %, Minimum sell-out %	0 to 100.
In stock only, Discounted only	Checkboxes.
Launched on or after	New arrivals since a date.
Snapshot date	The week to read, up to two years back. Blank means this week.
Sort by, Sort order	Choose which products fill the 50 per retailer: cheapest, deepest discount, best selling.
Vertical, Currency	Apparel, beauty or home; any ISO currency code.
Maximum results	Cap across the whole run.
API key	Your own key. See the FAQ.

At least one filter is required. An empty input ends the run cleanly with a message saying what to fill in.

Example output

{
  "requestedRetailer": "Zara",
  "retailerSlug": "zara",
  "snapshotDate": "2026-09-26",
  "evaluatedWindow": "2026-09-20:2026-09-26",
  "vertical": "apparel",
  "currency": "GBP",
  "found": true,
  "optionId": "a1b2c3d4e5",
  "productName": "Satin Midi Slip Dress",
  "brand": "Zara",
  "retailer": "Zara (UK)",
  "market": "UK",
  "price": 29.99,
  "fullPrice": 45.99,
  "discountPercent": 35,
  "inStock": true,
  "selloutPercent": 40,
  "productUrl": "https://www.zara.com/uk/en/...",
  "attributes": {
    "predominant_colour": "black",
    "predominant_pattern": "plain",
    "composition": "polyester 100%",
    "sku_count": 5,
    "normalised_average_rating": 4.3,
    "number_of_reviews": 18,
    "image_urls": ["https://..."]
  },
  "retrievedAt": "2026-09-26T09:14:52.118Z",
  "note": null
}

Values are illustrative. The attributes keys are the snake_case form of the column labels the provider returns.

FAQ

What is a fashion retail market data API used for?

Competitor price benchmarking, discount and markdown tracking, assortment gap analysis, new arrivals monitoring, bestseller and sell-out tracking, and range planning. A merchandiser compares dress prices at Zara and H&M in the UK. A pricing team tracks how deep a rival's discounts go each week. A brand checks which retailers stock it and at what price.

Which retailers and markets does it cover?

Thousands of online retailers and brands worldwide across apparel, footwear, accessories, beauty and home, split by market (UK, US, Germany, France and many more). Retailers are separate per country, so Zara UK and Zara US are different entries; set the market to choose one.

How far back does the data go?

The past two years, at weekly resolution. Each product row is the weekly summary for the week containing your snapshot date, so two dates in the same week return the same data. The current week reports up to today.

Why do I get at most 50 products per retailer?

The provider returns up to 50 product options per search. This actor runs one search per retailer, so a list of ten retailers can return up to 500 rows. When more products match, the log says how many, and sorting (cheapest, deepest discount, best selling) chooses which 50 you get.

How do prices and currencies work?

Prices come back in normal currency units, converted into the currency you choose or your account default. The minimum and maximum price inputs are also in normal units; the actor converts them into the scale the provider expects.

Do I need an API key?

Yes. This actor is bring-your-own-key: it calls the EDITED market data API with your own key and never ships one of its own. Keys are issued by the provider to customer accounts through their account manager; there is no self-serve sign-up. Paste the key into the input or set it once as the DATA_API_KEY environment secret. A missing or rejected key, or data outside your plan, ends the run cleanly with a message saying which.

Can it change anything in my account?

No. The actor calls only three read-only search tools: product search, retailer lookup and category lookup. Nothing it sends can create, update or delete data.

Does it return personal data?

No. Rows describe products and retailers only. Review counts and average ratings are included; reviewer names and review text are not.

How is it priced?

Pay per result: one flat price per product option returned. Rows for retailer names that matched nothing, or searches with no products, are free.

Keyword map

fashion retail market data API, retail pricing intelligence, competitor price tracking, fashion price monitoring, discount and markdown tracking, assortment analysis, apparel market data, beauty market data, homeware pricing data, sell-out tracking, bestseller tracking, new arrivals monitoring, retailer product data, fashion competitive intelligence, EDITED API, merchandising analytics.