API reference · Amazon

amazon/category-products

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/amazon/category-products
Model IDamazon/category-products
01

Input Schema

4 parameters · 1 required · 3 optional

ParameterTypeRequiredDescription
categoryIdstringRequiredNumeric Amazon category node ID taken from the node query parameter of a category URL.
pageintegerOptionalPage number for pagination. · Default: 1
sortBystringOptionalSort by. · Options: RELEVANCE, LOWEST_PRICE, HIGHEST_PRICE, REVIEWS, NEWEST, BEST_SELLERS · Default: "RELEVANCE"
RELEVANCELOWEST_PRICEHIGHEST_PRICEREVIEWSNEWESTBEST_SELLERS
countrystringOptionalCountry code for the Amazon product. · Options: US, AU, BR, CA, CN, FR, DE, IN, IT, MX, NL, SG, ES, TR, AE, GB, JP, SA, PL, SE, BE, EG, ZA, IE · Default: "US"
USAUBRCACNFRDEINITMXNLSGESTRAEGBJPSAPLSEBEEGZAIE
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-readable error description
03

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/api/amazon/category-products", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "page": 1,
    "sortBy": "RELEVANCE",
    "country": "US",
    "categoryId": "electronics"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());