Nordstrom

Nordstrom Search API

Search nordstrom.com (US) products, 24 per page, sorted by relevance, rating, price, newest or percent off. Each result has style id, URL, name, brand, image, current price and price range in dollars, original price range, percent off and on-sale flag, rating, review count, badges such as new or new_markdown, a low-inventory flag, whether it is sold by a marketplace seller (and the seller's name), and every color with its color family and image. Also returns the total result count and page count. Costs 5 credits per request.

POST/api/v1/nordstrom/search

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

querystringrequired

Search keywords, 1-200 characters.

Example: dress

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.

Notes

This reads nordstrom.com. Nordstrom Rack is a separate catalog with its own prices, clearance and reviews: use the Nordstrom Rack API, same request and response shapes, same key.

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

res = client.nordstrom.search(query="dress", sort="percent_off")["data"]

print(res["total_results"], "results over", res["page_count"], "pages")
for p in res["products"]:
    print(p["style_id"], p["brand"], p["name"], p["price"], p["percent_off"], p["on_sale"], p["rating"], p["review_count"])

Response

"query": "dress",

"page": 1,

"sort": "relevance",

"total_results": 47123,

"page_count": 1964,

"count": 24,

"response_time": 16349

}

from scavio import ScavioClient client = ScavioClient(api_key="sk_live_your_key") res = client.nordstrom.search(query="dress", sort="percent_off")["data"] print(res["total_results"], "results over", res["page_count"], "pages") for p in res["products"]: print(p["style_id"], p["brand"], p["name"], p["price"], p["percent_off"], p["on_sale"], p["rating"], p["review_count"])