API reference · LinkedIn

linkedin/ads-search

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

APISynchronousOpen model
Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/linkedin/ads-search
Model IDlinkedin/ads-search
01

Input Schema

7 parameters · 0 required · 7 optional

ParameterTypeRequiredDescription
companystringOptionalCompany name to search (e.g. "microsoft").
endDatestringOptionalSearch end date in YYYY-MM-DD format. Today or a later date is moved back to yesterday in UTC when your range overlaps LinkedIn's accepted dates. When you send startDate without endDate, the search ends yesterday in UTC, the latest day LinkedIn accepts.
keywordstringOptionalKeyword term for the ad search.
companyIdstringOptionalLinkedIn company identifier.
countriesstringOptionalComma-separated two-letter country codes (e.g. "US,CA,MX").
startDatestringOptionalSearch start date in YYYY-MM-DD format. An earlier date is moved up to one year ago in UTC when your range overlaps LinkedIn's accepted dates.
paginationTokenstringOptionalOpaque pagination token from a previous response's nextCursor.
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/linkedin/ads-search", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "company": "microsoft"
  }),
});

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