example-data.com

food-orders / #175

userId
Cassidy Boehm @cassidy_boehm22
restaurantId
Hickle, Glover and Christiansen · Zulauffurt · ★ 3.7
items
[
  {
    "menuItemId": 321,
    "quantity": 1,
    "unitPrice": 32.11,
    "lineTotal": 32.11
  },
  {
    "menuItemId": 324,
    "quantity": 4,
    "unitPrice": 76.31,
    "lineTotal": 305.24
  },
  {
    "menuItemId": 309,
    "quantity": 3,
    "unitPrice": 16.34,
    "lineTotal": 49.02
  },
  {
    "menuItemId": 308,
    "quantity": 2,
    "unitPrice": 55.81,
    "lineTotal": 111.62
  }
]
subtotal
497.99
deliveryFee
2.15
tip
8.03
total
508.17
currency
USD
status
delivered
placedAt
deliveredAt

Component variants

Related

curl -sS \
  "https://example-data.com/api/v1/food-orders/175" \
  -H "Accept: application/json"
const res = await fetch(
  "https://example-data.com/api/v1/food-orders/175"
);
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/175"
);
const foodOrder = (await res.json()) as FoodOrder;
import requests

res = requests.get(
    "https://example-data.com/api/v1/food-orders/175"
)
food_order = res.json()
{
  "id": 175,
  "userId": 204,
  "restaurantId": 20,
  "items": [
    {
      "menuItemId": 321,
      "quantity": 1,
      "unitPrice": 32.11,
      "lineTotal": 32.11
    },
    {
      "menuItemId": 324,
      "quantity": 4,
      "unitPrice": 76.31,
      "lineTotal": 305.24
    },
    {
      "menuItemId": 309,
      "quantity": 3,
      "unitPrice": 16.34,
      "lineTotal": 49.02
    },
    {
      "menuItemId": 308,
      "quantity": 2,
      "unitPrice": 55.81,
      "lineTotal": 111.62
    }
  ],
  "subtotal": 497.99,
  "deliveryFee": 2.15,
  "tip": 8.03,
  "total": 508.17,
  "currency": "USD",
  "status": "delivered",
  "placedAt": "2024-05-23T03:14:27.044Z",
  "deliveredAt": "2024-05-23T04:52:52.496Z"
}
Draftbit