Xiaohongshu modelsapi generation api

xiaohongshu/web-v3/note-detail

Name: Fetch note detail
Author: Xiaohongshu

Web V3 Note Detail provides a focused capability for applications, automation, and data workflows.

Input

Note Id(string)

Note ID, can be obtained from the sharing link of Xiaohongshu

Xsec Token(string)

Security token, can be obtained from the sharing link of Xiaohongshu

Idle

Example output — click Run to generate your own

Production endpoint

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDxiaohongshu/web-v3/note-detail

Input Schema

2 parameters · 2 required · 0 optional

Parameter	Type	Required	Description
`note_id`	string	Required	Note ID, can be obtained from the sharing link of Xiaohongshu
`xsec_token`	string	Required	Security token, can be obtained from the sharing link of Xiaohongshu

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

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": "xiaohongshu/web-v3/note-detail",
  "prompt": "a beautiful sunset over mountains"
}'

← Back to Fetch note detail

API README

Fetch note detail

Fetch note detail provides structured, machine-readable results for applications, automation, and data workflows. It is suitable for xiaohongshu workflows.

Capability

Fetch note detail provides structured, machine-readable results for applications, automation, and data workflows. 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.

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