API reference · TikTok

tiktok/ads/search-ads

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 IDtiktok/ads/search-ads

Input Schema

12 parameters · 0 required · 12 optional

Parameter	Type	Required	Description
`like`	integer	Optional	Like count filter, 1=All
`page`	integer	Optional	Page number, default 1
`limit`	integer	Optional	Items per page, default 20, max 50
`period`	integer	Optional	Time period in days, e.g., 7, 30, 120, 180 days
`keyword`	string	Optional	Search keyword, optional, returns all ads if empty
`industry`	string	Optional	Industry ID list, multiple IDs separated by commas. Full industry ID list: https://github.com/TikHub/TikTok-Ads-Industry-Code
`order_by`	string	Optional	Sort method, "for_you"=Recommended, "likes"=Sort by likes
`ad_format`	integer	Optional	Ad format, 1=Video ads
`objective`	integer	Optional	Ad objective, 1=All
`search_id`	string	Optional	Search ID (optional)
`ad_language`	string	Optional	Ad language code, e.g., en, zh
`country_code`	string	Optional	Country code, e.g., US, UK, JP

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

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": "tiktok/ads/search-ads"
  }),
});

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

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