example-data.com
Menu
Browse docs and collections

Overview

food-orders / #289

food-orders #289

userId
Mckenna Hegmann-Price @mckenna.hegmann-price77
restaurantId
Harber, Wolf and Reynolds · Providencifurt · ★ 4.5
items
              [
  {
    "menuItemId": 36,
    "quantity": 1,
    "unitPrice": 20.66,
    "lineTotal": 20.66
  },
  {
    "menuItemId": 33,
    "quantity": 2,
    "unitPrice": 28.94,
    "lineTotal": 57.88
  },
  {
    "menuItemId": 30,
    "quantity": 3,
    "unitPrice": 76.01,
    "lineTotal": 228.03
  }
]
subtotal
306.57
deliveryFee
7.07
tip
8.26
total
321.9
currency
USD
status
delivered
placedAt
deliveredAt

Component variants

Related

Request

curl example 

curl -sS \
  "https://example-data.com/api/v1/food-orders/289" \
  -H "Accept: application/json"

JavaScript example 

const res = await fetch(
  "https://example-data.com/api/v1/food-orders/289"
);
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/289"
);
const foodOrder = (await res.json()) as FoodOrder;

Python example 

import requests

res = requests.get(
    "https://example-data.com/api/v1/food-orders/289"
)
food_order = res.json()

Response 

{
  "id": 289,
  "userId": 62,
  "restaurantId": 3,
  "items": [
    {
      "menuItemId": 36,
      "quantity": 1,
      "unitPrice": 20.66,
      "lineTotal": 20.66
    },
    {
      "menuItemId": 33,
      "quantity": 2,
      "unitPrice": 28.94,
      "lineTotal": 57.88
    },
    {
      "menuItemId": 30,
      "quantity": 3,
      "unitPrice": 76.01,
      "lineTotal": 228.03
    }
  ],
  "subtotal": 306.57,
  "deliveryFee": 7.07,
  "tip": 8.26,
  "total": 321.9,
  "currency": "USD",
  "status": "delivered",
  "placedAt": "2025-10-27T13:32:00.594Z",
  "deliveredAt": "2025-10-27T17:08:52.463Z"
}