API reference · LinkedIn
linkedin/comment-replies
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/comment-repliesModel ID
linkedin/comment-replies01
Input Schema
1 parameters · 1 required · 0 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | Required | LinkedIn comment URL, as returned in the url field of linkedin.post_comments or copied with "Copy link to comment" (a /feed/update/... link carrying commentUrn and dashCommentUrn). A reply's URL returns the thread it belongs to. A post URL without dashCommentUrn is refused as invalid input, with no charge. |
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/comment-replies", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"url": "https://www.linkedin.com/feed/update/urn:li:activity:7510715600319467520?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7510715600319467520%2C7510749329649725442%29&dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287510749329649725442%2Curn%3Ali%3Aactivity%3A7510715600319467520%29"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());