curl --request POST \
  --url 'https://api.usedatabrain.com/api/v2/data-app/export-dashboard' \
  --header 'Authorization: Bearer dbn_live_...' \
  --header 'Content-Type: application/json' \
  --data '{"dashboardId":"sales-dashboard-1","workspaceName":"Sales Workspace"}' \
  --output dashboard-sales-dashboard-1.json

const response = await fetch('https://api.usedatabrain.com/api/v2/data-app/export-dashboard', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer dbn_live_...',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    dashboardId: 'sales-dashboard-1',
    workspaceName: 'Sales Workspace'
  })
});

if (!response.ok) {
  const err = await response.json();
  throw new Error(err.error?.message || 'Export failed');
}

const blob = await response.blob();
// Save or process the JSON file
const text = await blob.text();
const exported = JSON.parse(text);
console.log('Exported at:', exported._meta?.exportedAt);

import requests

url = "https://api.usedatabrain.com/api/v2/data-app/export-dashboard"
headers = {
    "Authorization": "Bearer dbn_live_...",
    "Content-Type": "application/json"
}
payload = {
    "dashboardId": "sales-dashboard-1",
    "workspaceName": "Sales Workspace"
}

response = requests.post(url, headers=headers, json=payload)

if not response.ok:
    raise Exception(response.json().get("error", {}).get("message", "Export failed"))

with open("dashboard-sales-dashboard-1.json", "w") as f:
    f.write(response.text)

{
  "_meta": {
    "exportedAt": "2025-02-13T10:00:00.000Z",
    "workspaceName": "Sales Workspace",
    "dashboardId": "sales-dashboard-1"
  },
  "data": {
    "layout": [...],
    "filters": [...],
    ...
  }
}

{
  "error": {
    "code": "INVALID_REQUEST_BODY",
    "message": "\"dashboardId\" is required"
  }
}

{
  "error": {
    "code": "AUTH_ERROR",
    "message": "Invalid Service Token"
  }
}

{
  "error": {
    "code": "DATA_APP_NOT_FOUND",
    "message": "Data app not found"
  }
}