linkedin/web-v2/post-comments
Fetch comments of a post by its activity urn.
Input
Page number, starting at 1.
Token returned by the previous response.
Most relevant (default) or Most recent.
Post activity urn (the numeric part of .../urn:li:activity:<urn>/).
Idle
Example output — click Run to generate your own
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
linkedin/web-v2/post-comments01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
urn | string | Required | Post activity urn (the numeric part of .../urn:li:activity:<urn>/). |
page | union | Optional | Page number, starting at 1. |
sort_by | union | Optional | Most relevant (default) or Most recent. |
share_urn | union | Optional | Optional share urn for shared posts. |
pagination_token | union | Optional | Token returned by the previous response. |
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
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "linkedin/web-v2/post-comments",
"prompt": "a beautiful sunset over mountains"
}'API README
Get post comments
Fetch comments of a post by its activity urn. It is suitable for linkedin workflows.
Capability
Fetch comments of a post by its activity urn. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Connect structured data to dashboards, agents, internal tools, and automated workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.