example-data.com

food-orders / #136

userId
Sonia Nolan @sonia_nolan
restaurantId
Ferry LLC · South Gilbertoton · ★ 3.8
items
[
  {
    "menuItemId": 852,
    "quantity": 4,
    "unitPrice": 72.01,
    "lineTotal": 288.04
  },
  {
    "menuItemId": 855,
    "quantity": 3,
    "unitPrice": 6.43,
    "lineTotal": 19.29
  },
  {
    "menuItemId": 853,
    "quantity": 4,
    "unitPrice": 25.25,
    "lineTotal": 101
  },
  {
    "menuItemId": 870,
    "quantity": 1,
    "unitPrice": 69.66,
    "lineTotal": 69.66
  }
]
subtotal
477.99
deliveryFee
2.02
tip
8.54
total
488.55
currency
USD
status
preparing
placedAt
deliveredAt
—

Component variants

Related

curl -sS \
  "https://example-data.com/api/v1/food-orders/136" \
  -H "Accept: application/json"
const res = await fetch(
  "https://example-data.com/api/v1/food-orders/136"
);
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/136"
);
const foodOrder = (await res.json()) as FoodOrder;
import requests

res = requests.get(
    "https://example-data.com/api/v1/food-orders/136"
)
food_order = res.json()
{
  "id": 136,
  "userId": 208,
  "restaurantId": 57,
  "items": [
    {
      "menuItemId": 852,
      "quantity": 4,
      "unitPrice": 72.01,
      "lineTotal": 288.04
    },
    {
      "menuItemId": 855,
      "quantity": 3,
      "unitPrice": 6.43,
      "lineTotal": 19.29
    },
    {
      "menuItemId": 853,
      "quantity": 4,
      "unitPrice": 25.25,
      "lineTotal": 101
    },
    {
      "menuItemId": 870,
      "quantity": 1,
      "unitPrice": 69.66,
      "lineTotal": 69.66
    }
  ],
  "subtotal": 477.99,
  "deliveryFee": 2.02,
  "tip": 8.54,
  "total": 488.55,
  "currency": "USD",
  "status": "preparing",
  "placedAt": "2025-12-04T11:43:20.291Z",
  "deliveredAt": null
}
Draftbit