meals
meals
Page 8 of 10.
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Tuna Wrap
#169
-
Egg White Omelette
#170
-
Roasted Chicken
#171
-
Beef Tacos
#172
-
Protein Bar
#173
-
Avocado Toast
#174
-
Hummus and Veggies
#175
-
Almonds
#176
-
String Cheese
#177
-
String Cheese
#178
-
Tofu Curry
#179
-
Shrimp and Veggies
#180
-
Apple and Peanut Butter
#181
-
Hummus and Veggies
#182
-
Hummus and Veggies
#183
-
Shrimp and Veggies
#184
-
Lentil Soup
#185
-
Chicken Caesar Salad
#186
-
Baked Salmon
#187
-
String Cheese
#188
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Almonds
#189
-
Pancakes
#190
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Pasta with Marinara
#191
-
Chicken Caesar Salad
#192
- userId
-
Trace Witting-Stamm @trace_witting-stamm17
- name
- Tuna Wrap
- kind
- lunch
- calories
- 446
- proteinGrams
- 47.5
- carbsGrams
- 48.8
- fatGrams
- 6.7
- eatenAt
- createdAt
- userId
-
Trace Witting-Stamm @trace_witting-stamm17
- name
- Egg White Omelette
- kind
- breakfast
- calories
- 748
- proteinGrams
- 48.4
- carbsGrams
- 53.5
- fatGrams
- 37.8
- eatenAt
- createdAt
- userId
-
Lamar Wilkinson @lamar_wilkinson43
- name
- Roasted Chicken
- kind
- dinner
- calories
- 617
- proteinGrams
- 56
- carbsGrams
- 50.7
- fatGrams
- 21.1
- eatenAt
- createdAt
- userId
-
Lamar Wilkinson @lamar_wilkinson43
- name
- Beef Tacos
- kind
- dinner
- calories
- 605
- proteinGrams
- 47.8
- carbsGrams
- 63.7
- fatGrams
- 17.7
- eatenAt
- createdAt
- userId
-
Lamar Wilkinson @lamar_wilkinson43
- name
- Protein Bar
- kind
- snack
- calories
- 586
- proteinGrams
- 46.4
- carbsGrams
- 36.7
- fatGrams
- 28.2
- eatenAt
- createdAt
- userId
-
Everett Yundt @everett_yundt11
- name
- Avocado Toast
- kind
- breakfast
- calories
- 431
- proteinGrams
- 29.6
- carbsGrams
- 70.7
- fatGrams
- 3.3
- 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": 169,
"userId": 42,
"name": "Tuna Wrap",
"kind": "lunch",
"calories": 446,
"proteinGrams": 47.5,
"carbsGrams": 48.8,
"fatGrams": 6.7,
"eatenAt": "2025-10-23T16:38:29.064Z",
"createdAt": "2025-10-23T16:43:00.046Z"
},
{
"id": 170,
"userId": 42,
"name": "Egg White Omelette",
"kind": "breakfast",
"calories": 748,
"proteinGrams": 48.4,
"carbsGrams": 53.5,
"fatGrams": 37.8,
"eatenAt": "2026-01-11T09:33:47.548Z",
"createdAt": "2026-01-11T10:03:41.627Z"
},
{
"id": 171,
"userId": 43,
"name": "Roasted Chicken",
"kind": "dinner",
"calories": 617,
"proteinGrams": 56,
"carbsGrams": 50.7,
"fatGrams": 21.1,
"eatenAt": "2026-02-05T10:33:11.969Z",
"createdAt": "2026-02-05T10:41:55.775Z"
}
],
"meta": {
"page": 8,
"limit": 24,
"total": 1016,
"totalPages": 43
},
"links": {
"self": "/api/v1/meals?page=8",
"next": "/api/v1/meals?page=9",
"prev": "/api/v1/meals?page=7"
}
}