API reference · LinkedIn
linkedin/search-posts
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/api/linkedin/search-postsModel ID
linkedin/search-posts01
Input Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | Required | The post search query. |
cursor | string | Optional | Pagination cursor from a previous response. |
datePosted | string | Optional | Filter by recency. One of last-hour, last-day, last-week, last-month, last-year. · Options: last-hour, last-day, last-week, last-month, last-year last-hourlast-daylast-weeklast-monthlast-year |
requireCursor | boolean | Optional | Deprecated. Every source for this search returns a nextCursor, so this changes nothing about the price or which source serves you; it stays accepted so callers that already send it keep working. |
02
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-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/search-posts", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"query": "hiring",
"datePosted": "last-week"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());