API reference · YouTube

youtube/web-v2/shorts-search

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/run
Model IDyoutube/web-v2/shorts-search
01

Input Schema

8 parameters · 1 required · 7 optional

ParameterTypeRequiredDescription
search_querystringRequiredSearch keyword · Max length: 200
sort_byunionOptionalSort by for Shorts
time_zonestringOptionalTime zone (e.g., America/Los_Angeles, Asia/Shanghai) · Default: "America/Los_Angeles"
upload_timeunionOptionalUpload time filter for Shorts
country_codestringOptionalCountry code affecting regional relevance · Default: "US"
language_codestringOptionalLanguage code (zh-CN for Chinese, en-US for English) · Default: "en-US"
continuation_tokenunionOptionalPagination token
filter_mixed_contentbooleanOptionalWhether to filter long videos from mixed content (default true) · Default: true
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/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "youtube/web-v2/shorts-search",
    "sort_by": "rating",
    "time_zone": "America/Los_Angeles",
    "upload_time": "hour",
    "country_code": "US",
    "language_code": "en-US",
    "filter_mixed_content": true
  }),
});

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