API reference · LinkedIn
linkedin/group-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/group-postsModel ID
linkedin/group-posts01
Input Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Required | Full LinkedIn group URL (e.g. https://www.linkedin.com/groups/1898033). |
page | integer | Optional | Which page of about 100 posts to return, starting at 1 (default 1). Page 2 continues where page 1 ended, going further back in time. Each page is billed as one request. · Min: 1 · Default: 1 |
postedLimit | string | Optional | Only return posts published within this window (default any). The window is applied to the page, so a page can come back with fewer posts or none. · Options: any, 1h, 24h, week, month, 3months, 6months, year any1h24hweekmonth3months6monthsyear |
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/group-posts", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"url": "https://www.linkedin.com/groups/1898033",
"page": 1
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());