meals
meals
Page 9 of 10.
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Pancakes
#193
-
Chicken Stir-Fry
#194
-
Shrimp and Veggies
#195
-
Tofu Curry
#196
-
Quinoa Bowl
#197
-
Brown Rice and Veggies
#198
-
Banana
#199
-
Protein Bar
#200
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Veggie Burger
#201
-
Overnight Oats
#202
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Grilled Steak
#203
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Egg White Omelette
#204
-
Oatmeal with Berries
#205
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Turkey Sandwich
#206
-
Turkey Sandwich
#207
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Shrimp and Veggies
#208
-
Grilled Steak
#209
-
Chicken Stir-Fry
#210
-
Hard Boiled Eggs
#211
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Turkey Sandwich
#212
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Pancakes
#213
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Mediterranean Bowl
#214
-
String Cheese
#215
-
Falafel Bowl
#216
- userId
-
Lacy Gusikowski @lacy.gusikowski
- name
- Pancakes
- kind
- breakfast
- calories
- 558
- proteinGrams
- 13.4
- carbsGrams
- 64.4
- fatGrams
- 27.4
- eatenAt
- createdAt
- userId
-
Maymie Boehm @maymie.boehm90
- name
- Chicken Stir-Fry
- kind
- dinner
- calories
- 449
- proteinGrams
- 16.7
- carbsGrams
- 27.7
- fatGrams
- 30.2
- eatenAt
- createdAt
- userId
-
Maymie Boehm @maymie.boehm90
- name
- Shrimp and Veggies
- kind
- dinner
- calories
- 492
- proteinGrams
- 59.7
- carbsGrams
- 26
- fatGrams
- 16.6
- eatenAt
- createdAt
- userId
-
Maymie Boehm @maymie.boehm90
- name
- Tofu Curry
- kind
- dinner
- calories
- 376
- proteinGrams
- 7.1
- carbsGrams
- 61.8
- fatGrams
- 11.2
- eatenAt
- createdAt
- userId
-
Maymie Boehm @maymie.boehm90
- name
- Quinoa Bowl
- kind
- lunch
- calories
- 479
- proteinGrams
- 29.2
- carbsGrams
- 13.6
- fatGrams
- 34.2
- eatenAt
- createdAt
- userId
-
Maymie Boehm @maymie.boehm90
- name
- Brown Rice and Veggies
- kind
- lunch
- calories
- 512
- proteinGrams
- 37.6
- carbsGrams
- 59.9
- fatGrams
- 13.5
- 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": 193,
"userId": 47,
"name": "Pancakes",
"kind": "breakfast",
"calories": 558,
"proteinGrams": 13.4,
"carbsGrams": 64.4,
"fatGrams": 27.4,
"eatenAt": "2025-09-30T06:44:47.325Z",
"createdAt": "2025-09-30T06:50:58.897Z"
},
{
"id": 194,
"userId": 48,
"name": "Chicken Stir-Fry",
"kind": "dinner",
"calories": 449,
"proteinGrams": 16.7,
"carbsGrams": 27.7,
"fatGrams": 30.2,
"eatenAt": "2025-07-25T00:46:22.783Z",
"createdAt": "2025-07-25T00:59:41.296Z"
},
{
"id": 195,
"userId": 48,
"name": "Shrimp and Veggies",
"kind": "dinner",
"calories": 492,
"proteinGrams": 59.7,
"carbsGrams": 26,
"fatGrams": 16.6,
"eatenAt": "2025-06-17T16:30:47.100Z",
"createdAt": "2025-06-17T16:33:17.629Z"
}
],
"meta": {
"page": 9,
"limit": 24,
"total": 1016,
"totalPages": 43
},
"links": {
"self": "/api/v1/meals?page=9",
"next": "/api/v1/meals?page=10",
"prev": "/api/v1/meals?page=8"
}
}