Overview
food-orders / #133
[
{
"menuItemId": 165,
"quantity": 2,
"unitPrice": 45.91,
"lineTotal": 91.82
},
{
"menuItemId": 176,
"quantity": 2,
"unitPrice": 20.92,
"lineTotal": 41.84
},
{
"menuItemId": 170,
"quantity": 4,
"unitPrice": 78.13,
"lineTotal": 312.52
}
]
#133
#133
Request
curl example
curl -sS \ "https://example-data.com/api/v1/food-orders/133" \ -H "Accept: application/json"
JavaScript example
const res = await fetch( "https://example-data.com/api/v1/food-orders/133" ); const foodOrder = await res.json();
TypeScript example
// Download once: mkdir -p types && curl -o types/food-orders.d.ts https://example-data.com/types/food-orders.d.ts
import type { FoodOrder } from "./types/food-orders";
const res = await fetch(
"https://example-data.com/api/v1/food-orders/133"
);
const foodOrder = (await res.json()) as FoodOrder; Python example
import requests
res = requests.get(
"https://example-data.com/api/v1/food-orders/133"
)
food_order = res.json() Response
{
"id": 133,
"userId": 8,
"restaurantId": 12,
"items": [
{
"menuItemId": 165,
"quantity": 2,
"unitPrice": 45.91,
"lineTotal": 91.82
},
{
"menuItemId": 176,
"quantity": 2,
"unitPrice": 20.92,
"lineTotal": 41.84
},
{
"menuItemId": 170,
"quantity": 4,
"unitPrice": 78.13,
"lineTotal": 312.52
}
],
"subtotal": 446.18,
"deliveryFee": 1.03,
"tip": 7.74,
"total": 454.95,
"currency": "USD",
"status": "preparing",
"placedAt": "2026-04-07T19:53:41.295Z",
"deliveredAt": null
}