API reference · TikTok
tiktok/web/general-search
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/runModel ID
tiktok/web/general-search01
Input Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Required | Search keyword |
cookie | string | Optional | User cookie (If you need to search with your own account, or encounter an interface error, you can provide the cookie yourself, default is not required) |
offset | integer | Optional | Page cursor, 0 for the first request, need to provide for the second paging, generally the keyword of this value is offset or cursor. · Default: 0 |
search_id | string | Optional | Search id, empty for the first request, need to provide for the second paging, need to get it from the return response of the last request. · Default: "" |
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/run", {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "tiktok/web/general-search",
"offset": 0
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());