weibo/web-v2/post-comments
Get the first-level comment list of specified post.
Input
Number of comments (default 10)
Weibo post ID (required)
Pagination cursor, pass empty for first request, use returned max_id for subsequent requests
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
weibo/web-v2/post-comments01
Input Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Required | Weibo post ID (required) |
count | integer | Optional | Number of comments (default 10) · Default: 10 |
max_id | string | Optional | Pagination cursor, pass empty for first request, use returned max_id for subsequent requests · Default: "" |
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": "weibo/web-v2/post-comments",
"count": 10,
"max_id": "",
"prompt": "a beautiful sunset over mountains"
}'API README
Get Weibo comments
Get the first-level comment list of specified post. It is suitable for weibo workflows.
Capability
Get the first-level comment list of specified post. 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.