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/api/tiktok/ads/search-ads
Model IDtiktok/ads/search-ads
01

Input Schema

14 parameters · 0 required · 14 optional

ParameterTypeRequiredDescription
likeintegerOptionalLike count filter, 1=All
pageintegerOptionalPage number, default 1
limitintegerOptionalItems per page, default 20, max 50
periodintegerOptionalTime period in days, e.g., 7, 30, 120, 180 days
keywordstringOptionalSearch keyword, optional, returns all ads if empty
durationunionOptional视频时长筛选值(可选)/Video duration filter value (optional)
industrystringOptionalIndustry ID list, multiple IDs separated by commas. Full industry ID list: https://github.com/TikHub/TikTok-Ads-Industry-Code
order_bystringOptionalSort method, "for_you"=Recommended, "likes"=Sort by likes
ad_formatintegerOptionalAd format, 1=Video ads
objectiveintegerOptionalAd objective, 1=All
search_idstringOptionalSearch ID (optional)
ad_languagestringOptionalAd language code, e.g., en, zh
country_codestringOptionalCountry code, e.g., US, UK, JP
pattern_labelunionOptional创意趋势标签(可选)/Creative pattern label (optional)
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/tiktok/ads/search-ads", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({}),
});

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