example-data.com

food-orders / #115

userId
Alvena Emmerich @alvena_emmerich52
restaurantId
Klocko, Gusikowski and Lockman · Lake Vern · ★ 2.9
items
[
  {
    "menuItemId": 1339,
    "quantity": 4,
    "unitPrice": 5.4,
    "lineTotal": 21.6
  },
  {
    "menuItemId": 1331,
    "quantity": 3,
    "unitPrice": 31.3,
    "lineTotal": 93.9
  },
  {
    "menuItemId": 1336,
    "quantity": 2,
    "unitPrice": 18.42,
    "lineTotal": 36.84
  },
  {
    "menuItemId": 1340,
    "quantity": 3,
    "unitPrice": 7.03,
    "lineTotal": 21.09
  }
]
subtotal
173.43
deliveryFee
4.14
tip
0.4
total
177.97
currency
USD
status
delivered
placedAt
deliveredAt

Component variants

Related

curl -sS \
  "https://example-data.com/api/v1/food-orders/115" \
  -H "Accept: application/json"
const res = await fetch(
  "https://example-data.com/api/v1/food-orders/115"
);
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/115"
);
const foodOrder = (await res.json()) as FoodOrder;
import requests

res = requests.get(
    "https://example-data.com/api/v1/food-orders/115"
)
food_order = res.json()
{
  "id": 115,
  "userId": 8,
  "restaurantId": 92,
  "items": [
    {
      "menuItemId": 1339,
      "quantity": 4,
      "unitPrice": 5.4,
      "lineTotal": 21.6
    },
    {
      "menuItemId": 1331,
      "quantity": 3,
      "unitPrice": 31.3,
      "lineTotal": 93.9
    },
    {
      "menuItemId": 1336,
      "quantity": 2,
      "unitPrice": 18.42,
      "lineTotal": 36.84
    },
    {
      "menuItemId": 1340,
      "quantity": 3,
      "unitPrice": 7.03,
      "lineTotal": 21.09
    }
  ],
  "subtotal": 173.43,
  "deliveryFee": 4.14,
  "tip": 0.4,
  "total": 177.97,
  "currency": "USD",
  "status": "delivered",
  "placedAt": "2024-07-28T05:04:37.098Z",
  "deliveredAt": "2024-07-28T06:49:22.754Z"
}
Draftbit