Zalando product data API

ShopAPIS returns structured Zalando product data — price, original price and markdown %, brand, material, per-size and per-color variant availability, average rating, review count, size-guide attributes and images — as normalized JSON across 25 European markets. Zalando is Europe’s largest pure-play fashion marketplace, and its per-variant size/stock matrix is the richest apparel availability signal in the region.

Why Zalando data is hard to get

Fashion availability lives at the size-and-color level, and Zalando does not publish it openly. Zalando’s Partner and Connected Retail programs expose data to merchants selling through the platform, not a public catalog API, so reading competitor markdown depth and per-size stock means parsing the live storefront. Anti-bot difficulty is medium-high. The hard part is fashion-specific: a single product can have dozens of size/color variants, each with its own price and stock state, and markdown percentages shift fast during sale events. Because the visible price often reflects only the variants still in stock, a product that looks full-price may already be sold out in its most common sizes — which is itself a demand signal. Zalando also runs market-specific assortments and currencies, so the same style can carry a different price and markdown in Germany versus the UK. ShopAPIS returns the full variant matrix, per-market price and markdown depth so you can track exactly which sizes are selling out and how aggressively a brand is discounting across countries.

Data fields returned

• Pricing — current price, original price, markdown/discount %, currency per market.
• Variants — full size/color matrix with per-variant availability (in stock, low stock, sold out).
• Catalog — title, brand, material/composition, care, fit, category path, size-guide.
• Social proof — average rating, review count, fit feedback where available.
• Availability — overall stock state and delivery estimate.
• Identifiers — Zalando SKU/config-SKU, EAN, brand article number, product URL.
• Images — full gallery URLs.

Sample response

{
  "marketplace": "zalando",
  "domain": "zalando.de",
  "country": "DE",
  "sku": "NI112O0A5-A11",
  "identifiers": { "ean": "0196969420015", "brand_article": "DV0789-100" },
  "title": "Nike Sportswear Air Force 1 '07 — Sneaker low",
  "brand": "Nike Sportswear",
  "price": { "current": 89.95, "original": 119.95, "currency": "EUR", "markdown_pct": 25 },
  "material": "Obermaterial: Leder",
  "category": ["Schuhe", "Sneaker", "Sneaker low"],
  "rating": 4.6,
  "review_count": 1284,
  "variants": [
    { "size": "42", "color": "Weiß", "availability": "in_stock" },
    { "size": "43", "color": "Weiß", "availability": "low_stock" },
    { "size": "44", "color": "Weiß", "availability": "sold_out" }
  ],
  "images": ["https://img01.ztat.net/article/NI112O0A5-A11.jpg"],
  "url": "https://www.zalando.de/nike-sportswear-air-force-1-NI112O0A5-A11.html",
  "fetched_at": "2026-06-05T11:20:05Z"
}

Markets and domains covered

Use cases

• Markdown and promo tracking — watch discount depth and per-size sell-out across markets. See price monitoring.
• Brand MAP monitoring — detect fashion brands breaching advertised-price floors. See MAP compliance.
• Catalog enrichment — pull material, fit and rich imagery by EAN. See catalog enrichment.
• Competitive intelligence — benchmark assortment and pricing against rivals. See competitive intelligence.

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