API reference · Instagram
instagram/v3/user-highlights
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
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OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
instagram/v3/user-highlights01
Input Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
username | string | Required | Instagram username (required) |
last | integer | Optional | Highlights per page for backward pagination, use with `before` |
after | string | Optional | Forward pagination cursor, from previous response `data.page_info.end_cursor` |
first | integer | Optional | Number of highlights per page (default 10, max 50) · Min: 1 · Max: 50 · Default: 10 |
before | string | Optional | Backward pagination cursor, from previous response `data.page_info.start_cursor` |
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": "instagram/v3/user-highlights",
"first": 10
}),
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());