meals
meals
Page 2 of 10.
-
Oatmeal with Berries
#25
-
Falafel Bowl
#26
-
Almonds
#27
-
Overnight Oats
#28
-
Shrimp and Veggies
#29
-
Scrambled Eggs
#30
-
Greek Yogurt Parfait
#31
-
Banana
#32
-
Almonds
#33
-
Smoothie Bowl
#34
-
Hummus and Veggies
#35
-
Protein Bar
#36
-
Grilled Steak
#37
-
Apple and Peanut Butter
#38
-
Turkey Sandwich
#39
-
Avocado Toast
#40
-
Oatmeal with Berries
#41
-
Rice Cakes
#42
-
Mediterranean Bowl
#43
-
Hummus and Veggies
#44
-
Sushi Roll
#45
-
Trail Mix
#46
-
Grilled Turkey Breast
#47
-
Overnight Oats
#48
- userId
-
Brycen Bayer @brycen_bayer60
- name
- Oatmeal with Berries
- kind
- breakfast
- calories
- 320
- proteinGrams
- 54.8
- carbsGrams
- 17.2
- fatGrams
- 3.5
- eatenAt
- createdAt
- userId
-
Einar Volkman @einar_volkman69
- name
- Falafel Bowl
- kind
- lunch
- calories
- 773
- proteinGrams
- 51.8
- carbsGrams
- 69
- fatGrams
- 32.2
- eatenAt
- createdAt
- userId
-
Einar Volkman @einar_volkman69
- name
- Almonds
- kind
- snack
- calories
- 575
- proteinGrams
- 49.3
- carbsGrams
- 9.5
- fatGrams
- 37.7
- eatenAt
- createdAt
- userId
-
Einar Volkman @einar_volkman69
- name
- Overnight Oats
- kind
- breakfast
- calories
- 533
- proteinGrams
- 13.7
- carbsGrams
- 76.6
- fatGrams
- 19.1
- eatenAt
- createdAt
- userId
-
Einar Volkman @einar_volkman69
- name
- Shrimp and Veggies
- kind
- dinner
- calories
- 446
- proteinGrams
- 40.1
- carbsGrams
- 60.7
- fatGrams
- 4.7
- eatenAt
- createdAt
- userId
-
Einar Volkman @einar_volkman69
- name
- Scrambled Eggs
- kind
- breakfast
- calories
- 481
- proteinGrams
- 56.3
- carbsGrams
- 17.9
- fatGrams
- 20.5
- 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": 25,
"userId": 6,
"name": "Oatmeal with Berries",
"kind": "breakfast",
"calories": 320,
"proteinGrams": 54.8,
"carbsGrams": 17.2,
"fatGrams": 3.5,
"eatenAt": "2025-08-29T18:44:35.584Z",
"createdAt": "2025-08-29T19:01:12.792Z"
},
{
"id": 26,
"userId": 7,
"name": "Falafel Bowl",
"kind": "lunch",
"calories": 773,
"proteinGrams": 51.8,
"carbsGrams": 69,
"fatGrams": 32.2,
"eatenAt": "2025-09-13T01:50:43.853Z",
"createdAt": "2025-09-13T01:53:42.696Z"
},
{
"id": 27,
"userId": 7,
"name": "Almonds",
"kind": "snack",
"calories": 575,
"proteinGrams": 49.3,
"carbsGrams": 9.5,
"fatGrams": 37.7,
"eatenAt": "2025-10-26T08:38:14.060Z",
"createdAt": "2025-10-26T08:53:21.375Z"
}
],
"meta": {
"page": 2,
"limit": 24,
"total": 1016,
"totalPages": 43
},
"links": {
"self": "/api/v1/meals?page=2",
"next": "/api/v1/meals?page=3",
"prev": "/api/v1/meals?page=1"
}
}