Nordstrom Rack

Nordstrom Rack Brand API

List a brand's products on nordstromrack.com (US) from its brand page (/brands/adidas), 24 per page, sorted by relevance, rating, price, newest or percent off. Returns the brand's name, path, URL and breadcrumbs, the filter sidebar with a product count per option, the total result and page counts, and every product with the same fields as search, including clearance and promotion prices. Costs 5 credits per request.

POST/api/v1/nordstromrack/brand

Authorizations

Authorizationstringheaderrequired

Bearer authentication header of the form Bearer <token>, where <token> is your Scavio API key (e.g. Bearer sk_live_your_key).

Body

application/json

brandstringrequired

A nordstromrack.com brand: the /brands path or full URL of a brand page, e.g. /brands/adidas, /brands/sam-edelman or https://www.nordstromrack.com/brands/ugg (a product's brand_url works). The /brands prefix is optional. Rack brand pages carry no brand id: the nordstrom.com form /brands/<name>--<id> is a 404 here.

Example: /brands/adidas

pageinteger

Results page, 1-based. Defaults to 1. 24 products per page, up to page 100.

Example: 1

sortstring

relevance (default), rating, price_high, price_low, newest or percent_off.

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

res = client.nordstrom_rack.brand(brand="/brands/adidas", sort="percent_off")["data"]

print(res["brand"]["name"], res["total_results"], "products")
for p in res["products"]:
    print(p["style_id"], p["name"], p["price"], p["original_price_range"], p["percent_off"], p["promotion_percent_off"])

Response

"page": 1,

"sort": "relevance",

"total_results": 1319,

"page_count": 55,

"count": 24,

"response_time": 19523

}

from scavio import ScavioClient client = ScavioClient(api_key="sk_live_your_key") res = client.nordstrom_rack.brand(brand="/brands/adidas", sort="percent_off")["data"] print(res["brand"]["name"], res["total_results"], "products") for p in res["products"]: print(p["style_id"], p["name"], p["price"], p["original_price_range"], p["percent_off"], p["promotion_percent_off"])