API reference · Douyin

douyin/search-video

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

APISynchronousOpen model
Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/api/douyin/search-video
Model IDdouyin/search-video
01

Input Schema

6 parameters · 1 required · 5 optional

ParameterTypeRequiredDescription
keywordstringRequiredThe search keyword.
pageintegerOptionalPage number (starting from 1). · Default: 1
durationstringOptionalFilter by video duration. · Options: _0, _1, _2, _3 · Default: "_0"
_0_1_2_3
searchIdstringOptionalSearch ID; required for pages > 1. Use data.business_config.next_page.search_id from the previous response, and stop paging when data.business_config.has_more is 0.
sortTypestringOptionalSorting criteria for search results. · Options: _0, _1, _2 · Default: "_0"
_0_1_2
publishTimestringOptionalFilter by video publish time range. · Options: _0, _1, _7, _180 · Default: "_0"
_0_1_7_180
02

Output Schema

FieldTypeDescription
idstringUnique identifier for the generation task
statusstringTask status: pending, running, completed, failed, timeout
modelstringModel used for the generation
outputsarrayArray of output items
outputs[].urlstringURL of the generated artifact
outputs[].content_typestringMIME type (e.g. image/png, video/mp4)
errorobject | nullError details if failed, null on success
error.typestringMachine-readable error type code
error.messagestringHuman-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/douyin/search-video", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "page": 1,
    "keyword": "美食",
    "duration": "_0",
    "sortType": "_0",
    "publishTime": "_0"
  }),
});

if (!response.ok) throw new Error(await response.text());
console.log(await response.json());