example-data.com

food-orders / #28

userId
Marilou Douglas @marilou.douglas
restaurantId
Gislason Group · Marinafield · ★ 3.2
items
[
  {
    "menuItemId": 1066,
    "quantity": 1,
    "unitPrice": 43.38,
    "lineTotal": 43.38
  },
  {
    "menuItemId": 1069,
    "quantity": 3,
    "unitPrice": 40.45,
    "lineTotal": 121.35
  },
  {
    "menuItemId": 1059,
    "quantity": 3,
    "unitPrice": 61.29,
    "lineTotal": 183.87
  },
  {
    "menuItemId": 1077,
    "quantity": 1,
    "unitPrice": 18.38,
    "lineTotal": 18.38
  }
]
subtotal
366.98
deliveryFee
7.5
tip
0.07
total
374.55
currency
USD
status
delivered
placedAt
deliveredAt

Component variants

Medium

#28

#28

Related

curl -sS \
  "https://example-data.com/api/v1/food-orders/28" \
  -H "Accept: application/json"
const res = await fetch(
  "https://example-data.com/api/v1/food-orders/28"
);
const foodOrder = await res.json();
import type { FoodOrder } from "https://example-data.com/types/food-orders.d.ts";

const res = await fetch(
  "https://example-data.com/api/v1/food-orders/28"
);
const foodOrder = (await res.json()) as FoodOrder;
import requests

res = requests.get(
    "https://example-data.com/api/v1/food-orders/28"
)
food_order = res.json()
{
  "id": 28,
  "userId": 78,
  "restaurantId": 71,
  "items": [
    {
      "menuItemId": 1066,
      "quantity": 1,
      "unitPrice": 43.38,
      "lineTotal": 43.38
    },
    {
      "menuItemId": 1069,
      "quantity": 3,
      "unitPrice": 40.45,
      "lineTotal": 121.35
    },
    {
      "menuItemId": 1059,
      "quantity": 3,
      "unitPrice": 61.29,
      "lineTotal": 183.87
    },
    {
      "menuItemId": 1077,
      "quantity": 1,
      "unitPrice": 18.38,
      "lineTotal": 18.38
    }
  ],
  "subtotal": 366.98,
  "deliveryFee": 7.5,
  "tip": 0.07,
  "total": 374.55,
  "currency": "USD",
  "status": "delivered",
  "placedAt": "2026-02-01T02:38:49.787Z",
  "deliveredAt": "2026-02-01T04:42:24.695Z"
}
Draftbit