meals
meals
Page 5 of 10.
-
Egg White Omelette
#97
-
Pancakes
#98
-
Cottage Cheese
#99
-
Mediterranean Bowl
#100
-
Tofu Curry
#101
-
Chicken Caesar Salad
#102
-
Baked Salmon
#103
-
Protein Bar
#104
-
Grilled Chicken Salad
#105
-
Beef Tacos
#106
-
Turkey Sandwich
#107
-
Pasta with Marinara
#108
-
Protein Shake
#109
-
Hummus and Veggies
#110
-
Smoothie Bowl
#111
-
Protein Bar
#112
-
Lentil Soup
#113
-
Hard Boiled Eggs
#114
-
Hard Boiled Eggs
#115
-
Veggie Burger
#116
-
Lentil Soup
#117
-
Avocado Toast
#118
-
Turkey Sandwich
#119
-
Grilled Chicken Salad
#120
- userId
-
Antoinette Greenfelder @antoinette_greenfelder61
- name
- Egg White Omelette
- kind
- breakfast
- calories
- 532
- proteinGrams
- 52.7
- carbsGrams
- 20.6
- fatGrams
- 26.5
- eatenAt
- createdAt
- userId
-
Ericka DuBuque @ericka.dubuque
- name
- Pancakes
- kind
- breakfast
- calories
- 463
- proteinGrams
- 12.9
- carbsGrams
- 23.3
- fatGrams
- 35.4
- eatenAt
- createdAt
- userId
-
Ericka DuBuque @ericka.dubuque
- name
- Cottage Cheese
- kind
- snack
- calories
- 430
- proteinGrams
- 34.7
- carbsGrams
- 35
- fatGrams
- 16.8
- eatenAt
- createdAt
- userId
-
Ericka DuBuque @ericka.dubuque
- name
- Mediterranean Bowl
- kind
- dinner
- calories
- 436
- proteinGrams
- 6.5
- carbsGrams
- 27.2
- fatGrams
- 33.5
- eatenAt
- createdAt
- userId
-
Ericka DuBuque @ericka.dubuque
- name
- Tofu Curry
- kind
- dinner
- calories
- 698
- proteinGrams
- 27.8
- carbsGrams
- 57
- fatGrams
- 39.9
- eatenAt
- createdAt
- userId
-
Ericka DuBuque @ericka.dubuque
- name
- Chicken Caesar Salad
- kind
- lunch
- calories
- 483
- proteinGrams
- 12.9
- carbsGrams
- 18.8
- fatGrams
- 39.6
- eatenAt
- createdAt
Showing first 6 of 24 on this page.
curl -sS \
"https://example-data.com/api/v1/meals?limit=25"const res = await fetch(
"https://example-data.com/api/v1/meals?limit=25"
);
const { data, meta } = await res.json();import type { Meal, ListEnvelope } from "https://example-data.com/types/meals.d.ts";
const res = await fetch(
"https://example-data.com/api/v1/meals?limit=25"
);
const { data, meta } = (await res.json()) as ListEnvelope<Meal>;import requests
res = requests.get(
"https://example-data.com/api/v1/meals",
params={"limit": 25},
)
data = res.json() {
"data": [
{
"id": 97,
"userId": 22,
"name": "Egg White Omelette",
"kind": "breakfast",
"calories": 532,
"proteinGrams": 52.7,
"carbsGrams": 20.6,
"fatGrams": 26.5,
"eatenAt": "2026-03-04T04:43:13.047Z",
"createdAt": "2026-03-04T04:58:04.843Z"
},
{
"id": 98,
"userId": 23,
"name": "Pancakes",
"kind": "breakfast",
"calories": 463,
"proteinGrams": 12.9,
"carbsGrams": 23.3,
"fatGrams": 35.4,
"eatenAt": "2025-11-26T23:56:37.400Z",
"createdAt": "2025-11-27T00:25:50.363Z"
},
{
"id": 99,
"userId": 23,
"name": "Cottage Cheese",
"kind": "snack",
"calories": 430,
"proteinGrams": 34.7,
"carbsGrams": 35,
"fatGrams": 16.8,
"eatenAt": "2025-07-31T05:19:52.664Z",
"createdAt": "2025-07-31T05:35:15.416Z"
}
],
"meta": {
"page": 5,
"limit": 24,
"total": 1016,
"totalPages": 43
},
"links": {
"self": "/api/v1/meals?page=5",
"next": "/api/v1/meals?page=6",
"prev": "/api/v1/meals?page=4"
}
}