Nutrition search (generic foods)
Searches ~13,500 generic foods of USDA FoodData Central (Foundation, SR Legacy and survey foods: fruits, vegetables, meats, dairy, grains, dishes...) by name: FDC id, description, type, category, key nutrients per 100 g (energy, protein, fat, carbohydrate, fibre, sugars, minerals, cholesterol, saturated fat, vitamins C and D, water...) and common portions with gram weights. Pass next_page back as page; null on the last page.
Every response includes credits_used: the credits this call cost.
Parameters
| name | type | description |
|---|---|---|
qrequired | string | Food name; the last word may be partial. Example: cheddar cheese |
type | foundation | sr_legacy | survey | Only one dataset. |
limit | integer | Per page (default 10, max 50). |
page | integer | Page (default 1). |
Every endpoint also takes fresh, raw, fields (see lean responses and caching).
Example
curl "https://api.api.sh/food/v1/nutrition?q=cheddar+cheese" \
-H "x-api-key: $APISH_KEY" import os, requests
res = requests.get(
"https://api.api.sh/food/v1/nutrition",
params={"q": "cheddar cheese"},
headers={"x-api-key": os.environ["APISH_KEY"]},
timeout=120,
)
res.raise_for_status()
data = res.json() const url = new URL("https://api.api.sh/food/v1/nutrition");
url.searchParams.set("q", "cheddar cheese");
const res = await fetch(url, { headers: { "x-api-key": process.env.APISH_KEY } });
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const data = await res.json(); Response
A JSON object with the fields described above, plus raw (the source's own data), cached, fetched_at and credits_used. Errors return {"success": false, "error": "…"} with the HTTP status (see errors). A lookup that ran but found nothing (404) costs the price above; refused calls and errors on our side are free (what's charged).