API reference · TikTok
tiktok/search-post
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/api/tiktok/search-postModel ID
tiktok/search-post01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Search keywords. |
offset | integer | Optional | Pagination offset, starting from 0 and stepping by 20. · Default: 0 |
region | string | Optional | ISO 3166-1 alpha-2 country code (e.g., 'US', 'GB'). · Default: "US" |
sortType | string | Optional | Sorting criteria for search results. · Options: RELEVANCE, MOST_LIKED · Default: "RELEVANCE" RELEVANCEMOST_LIKED |
publishTime | string | Optional | Filter posts by publishing time. · Options: ALL, ONE_DAY, ONE_WEEK, ONE_MONTH, THREE_MONTHS, HALF_YEAR · Default: "ALL" ALLONE_DAYONE_WEEKONE_MONTHTHREE_MONTHSHALF_YEAR |
02
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 |
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/search-post", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"offset": 0,
"region": "US",
"keyword": "cooking",
"sortType": "RELEVANCE",
"publishTime": "ALL"
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());