API reference · LinkedIn

linkedin/company-employees

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/linkedin/company-employees
Model IDlinkedin/company-employees
01

Input Schema

4 parameters · 1 required · 3 optional

ParameterTypeRequiredDescription
companystringRequiredCompany name or LinkedIn company URL (e.g. google or https://www.linkedin.com/company/google/).
limitintegerOptionalMaximum number of results to return (1-10, default 10). · Min: 1 · Max: 10
jobTitlestringOptionalOptional job-title filter supporting boolean operators (e.g. CEO OR CTO).
requireFieldsstring[]OptionalOptional; omit it and routing is unchanged, with the cheapest source serving. Name the output fields this request must be able to return, for example `openToWork` or `premium`, and it is served only by a source that returns every one of them. Fields you do not name are still returned whenever the serving source has them. This can raise your price: when the cheapest source cannot return a named field, a dearer source serves, and you are quoted and charged its price. A named field can still be absent on an employee who genuinely lacks it. Naming a combination that no single source returns together is refused as invalid input, with no charge.
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/company-employees", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "limit": 3,
    "company": "stripe"
  }),
});

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