Nordstrom Rack

Nordstrom Rack Store Locator API

Find Nordstrom Rack stores near a US ZIP code or latitude/longitude within up to 100 miles, nearest first, or look Rack stores up by store number. Each store has store number, name, type (rack), address, phone, weekly hours, holiday hours when posted, open and close times for the next 8 days, time zone, distance in miles, coordinates, whether it offers buy-online pickup and curbside pickup, its services and listed departments, and its store page URL. Rack stores only. Costs 5 credits per request.

POST/api/v1/nordstromrack/stores

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

zipstring

US ZIP code to search around. Pass exactly one of zip, latitude and longitude, or store_numbers.

Example: 10001

latitudenumber

Latitude to search around (with longitude).

Example: 34.05

longitudenumber

Longitude to search around (with latitude).

Example: -118.24

store_numbersstring[] | string

Look up Rack stores by number instead of location: an array or a comma-separated string, up to 100 (an availability result's pickup_stores[].store_number). Numbers of Nordstrom full-line stores are left out.

Example: ["229", "242"]

distance_milesinteger

Search radius in miles around zip or latitude/longitude, 1-100 (the site's maximum). Defaults to 100.

Example: 25

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

res = client.nordstrom_rack.stores(zip="10001", distance_miles=25)["data"]

for s in res["stores"]:
    print(s["store_number"], s["name"], s["distance_miles"], s["pickup"], s["phone"])

Response

"zip": "10001",

"latitude": null,

"longitude": null,

"store_numbers": null,

"distance_miles": 25,

"count": 9,

"response_time": 1748

}

from scavio import ScavioClient client = ScavioClient(api_key="sk_live_your_key") res = client.nordstrom_rack.stores(zip="10001", distance_miles=25)["data"] for s in res["stores"]: print(s["store_number"], s["name"], s["distance_miles"], s["pickup"], s["phone"])