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Foot Locker

Foot Locker Search API

Search Foot Locker by keyword on any of 13 storefronts (US, Canada, UK, Germany, France, Italy, Spain, Netherlands, Belgium, Austria, Ireland, Australia, New Zealand), in the storefront's language and currency. Filter by brand, gender, color, price bucket, on_sale and any facet (shoe size per gender, style, sport, rating...), and sort by relevance, price, new arrivals, top rated, name or brand. 48 items per page with id (the SKU), title, brand, URL, image, price, list price, percent off, the European 30-day lowest price, sale, new, launch and members-only-sale flags, rating, review count and colorways with their own prices. Also returns total, total_pages, the filters applied, every facet with its counts (any value works in filters) and data_as_of: listings can be a few hours old. A bare brand keyword (nike, hoka) returns that brand's listing and redirected_to says so. Costs 1 credit per request.

POST/api/v1/footlocker/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 (no ":").

Example: nike dunk

countryenum<string>default:us

The Foot Locker storefront. Titles and facet labels come back in the storefront's language, prices in its currency.

Example: de

  • us — United States (footlocker.com), USD. The default.
  • ca — Canada (footlocker.ca), CAD. language en (default) or fr.
  • gb — United Kingdom (footlocker.co.uk), GBP.
  • de — Germany (footlocker.de), EUR.
  • fr — France (footlocker.fr), EUR.
  • it — Italy (footlocker.it), EUR.
  • es — Spain (footlocker.es), EUR.
  • nl — Netherlands (footlocker.nl), EUR.
  • be — Belgium (footlocker.be), EUR. language nl (default) or fr.
  • at — Austria (footlocker.at), EUR.
  • ie — Ireland (footlocker.ie), EUR.
  • au — Australia (footlocker.com.au), AUD.
  • nz — New Zealand (footlocker.co.nz), NZD.
languageenum<string>

Only for country ca (en default, or fr) and be (nl default, or fr). Other storefronts have one language.

Example: fr

  • en — English. The default on ca.
  • fr — French, on ca or be.
  • nl — Dutch. The default on be.
brandstring | string[]

Only this brand, or any of several (up to 20): "Nike", "Jordan", "adidas", "New Balance", "HOKA". Case does not matter.

Example: Jordan

pageinteger

Results page, 1-200, 48 items per page. A page past the last one returns an empty items list with the real total. Defaults to 1.

Example: 2

sortenum<string>default:relevance

The order of the listing.

  • relevance — The site's Featured order. The default.
  • price_low_to_high — Cheapest first.
  • price_high_to_low — Most expensive first.
  • new_arrivals — Newest first.
  • top_rated — Highest customer rating first.
  • name_az — Product name A-Z.
  • brand_az — Brand A-Z.
genderstring | string[]

Gender value(s) as facets gender lists them ("Men's", "Women's", "Boys'"; in the storefront's language).

Example: Women's

colorstring | string[]

Color value(s) as facets primaryColor lists them.

Example: Black

price_rangestring | string[]

Price bucket value(s) as facets price lists them (25-50, 50-75, 75-100, 100-150, 150-inf), in the storefront's currency.

Example: 100-150

on_saleboolean

Only items on sale.

Example: true

filtersobject

Any filter from a previous response: {facets[].id: facets[].values[].value, or a list of values}. Values of one filter are OR, filters combine (AND). E.g. {"mensShoesSize": "10.0"}, {"womensShoesSize": "8.0"}, {"style": "Casual Sneakers"}, {"sport": "Running"}, {"eligibleForDiscount": "True"}.

Example: {"mensShoesSize": "10.0", "primaryColor": "Black"}

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

# Men's size 10 Nike Dunks on footlocker.com, cheapest first.
res = client.footlocker.search(query="nike dunk", filters={"mensShoesSize": "10.0"}, sort="price_low_to_high")["data"]

print(res["total"], "items, listing built", res["data_as_of"])
for item in res["items"]:
    print(item["id"], item["title"], item["list_price"], item["price"], item["percent_off"])

Response

"query": "nike dunk",
"redirected_to": null,
"country": "us",
"language": "en",
"currency": "USD",
"total": 153,
"page": 1,
"page_size": 48,
"total_pages": 4,
"sort": "relevance",
"applied_filters": {},
"data_as_of": "2026-11-11T09:37:13.295Z",
"count": 48,
},
"response_time": 8445
}
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