Zalando Brand Products — Prices, Discounts & Sizes by Brand
Send a brand alias such as nike-sportswear, or the brand page URL, and this source returns the products Zalando lists for that brand: name, brand, price, list price, discount, currency, image, silhouette, gender label, flags and sizes.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "zalando_brand_products",
"brand": "nike-sportswear",
"brand_alias": "nike-sportswear",
"max_items": 2,
"start_page": 1,
"partial": false,
"human": "# Zalando brand products\n\n- **Brand:** nike-sportswear\n- **Starting page:** 1\n- **Max items:** 2\n- **Records returned:** 2\n- **Proxy traffic:** 2.48 MB",
"machine": {
"total_items": 2,
"items": [
{
"@type": "ZalandoBrandProduct",
"id": "NI116D0SZ-C12",
"url": "https://www.zalando.de/nike-sportswear-p-6000-unisex-sneaker-low-blackmetallic-silver-colouredpencil-pointdark-grey-ni116d0sz-c12.html",
"name": "P-6000 UNISEX - Low-Top-Sneaker - black/metallic silver-coloured/pencil point/dark grey",
"brand": "Nike Sportswear",
"price": 89.95,
"list_price": null,
"discount_percentage": null,
"currency": "EUR",
"image": "https://img01.ztat.net/article/spp-media-p1/e91f76e825c945d797c68d16bc84d501/55281fec146343099d6b147dc61b2444.jpg?imwidth=500&filter=packshot",
"silhouette": "SNEAKER",
"gender": "KIDS",
"flags": [
"Kinder",
"Neu"
],
"sizes": [
{
"size": "35.5",
"sku": "NI116D0SZ-C12035Y000"
},
{
"size": "36.5",
"sku": "NI116D0SZ-C12045Y000"
}
]
},
{
"@type": "ZalandoBrandProduct",
"id": "NI111A1UT-B12",
"url": "https://www.zalando.de/nike-sportswear-v5-rnr-2-sneaker-low-cacao-wowinfinite-sable-ni111a1ut-b12.html",
"name": "V5 RNR 2 - Low-Top-Sneaker - cacao wow/infinite sable",
"brand": "Nike Sportswear",
"price": 71.95,
"list_price": 89.95,
"discount_percentage": 20,
"currency": "EUR",
"image": "https://img01.ztat.net/article/spp-media-p1/0f44c6bcdd3a4c56a033b98e14397b15/bcd11f56a9724785bc2610f73cd20263.jpg?imwidth=500&filter=packshot",
"silhouette": "SNEAKER",
"gender": "WOMEN",
"flags": [
"Deal",
"Neu"
],
"sizes": [
{
"size": "35.5",
"sku": "NI111A1UT-B120050000"
},
{
"size": "36",
"sku": "NI111A1UT-B120055000"
}
]
}
],
"total_products_on_zalando": 4416,
"pages_fetched": 1,
"response_bytes": 2599266
},
"total_points": 2
}- You send
- A Zalando brand alias or brand page URL
- You get back
- The brand's products with name, price, list price, discount, image, silhouette, gender, flags and sizes
- Coverage
- Products listed on a Zalando brand page.
- Price
- 1 point per returned record, up to 300 per request — $1 per 1,000
- Billed per record actually returned, capped by max_items. A brand that returns nothing costs nothing.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Browsing the brand page by hand | Scroll the brand page and copy details | Free, and slow | A big brand is thousands of listings |
| Building a scraper | Write it, host it, and repair it when Zalando changes the brand pages | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request per brand, max_items and start_page as parameters | $1 per 1,000, misses not billed | A large brand is a large bill if you don't set max_items |
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
brand | string | The brand input as you sent it. |
brand_alias | string | The brand slug the request resolved to. |
total_items | number | How many products were returned in this batch (capped by max_items). |
items[].id | string | Zalando product ID. |
items[].url | string | Link to the product page. |
items[].name | string | Product name. |
items[].brand | string | Brand name. |
items[].price | number | Current price. |
items[].list_price | number | Pre-discount price, when the item is reduced. |
items[].discount_percentage | number | Discount from list price, in percent. |
items[].currency | string | ISO currency code, e.g. EUR. |
items[].image | string | Primary image URL. |
items[].silhouette | string | Zalando's shape or type label for the item. |
items[].gender | string | Target group label. |
items[].flags | array | Labels shown on the listing. |
items[].sizes | array | Sizes on the listing, each with size and sku. |
total_products_on_zalando | number | How many products Zalando lists for the brand. |
pages_fetched | number | How many pages were read to fill the request. |
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
brand is the only required field and takes the brand alias or the brand page URL. max_items caps the result count (up to 300, defaults to 10) and sets what you're billed for; start_page lets you continue from a later page.
curl -X POST https://api.neuralverge.ai/functions/v1/run-zalando-brands-products \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "brand": "nike-sportswear", "max_items": 25 }'What teams use it for
Where this field shows up in an actual workflow.
Track a brand's prices and discount levels on Zalando over time.
See which silhouettes and target groups a brand puts the most weight on.
Check what a brand's retail price looks like before you buy or list stock.
Collect product URLs to run through Zalando product for full detail.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Products listed on a Zalando brand page.
Read at request time.
This source returns publicly visible brand-page information, stamped with the brand it was read from and a session id you can trace.
- —Price and discount reflect the moment of the request and can change right after.
- —Listings show the sizes present, not per-size stock levels. Use Zalando product for those.
- —Labels such as gender and flags come back as Zalando writes them.
Questions, answered
It's Zalando's slug for the brand, for example nike-sportswear. You can also paste the brand page URL.
Related sources
Full detail, sizes and stock for one product.
Search by keyword, with a brand filter.
Similar and cross-sell items for a product.
Amazon, eBay, Walmart, Rakuten, Shopify, Zalando and more: product, seller and review data.
Try zalando brand products on your own data
One request format across every source in the catalog.