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Python Examples – Health Fitness API

Python makes it simple to interact with RESTful APIs like Health Fitness API. Below you'll find examples using multiple Python HTTP libraries for both synchronous and asynchronous requests.

1. Using requests (Synchronous, most common)

import requests

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi"
params = {
    "height": 178,
    "weight": 82,
    "units": "metric",
    "lang": "en"
}
headers = {"X-API-Key": API_KEY}

response = requests.get(url, headers=headers, params=params)
data = response.json()

print(data)

POST request example:

import requests

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi/post"
payload = {
    "height": 178,
    "weight": 82,
    "units": "metric"
}
headers = {
    "X-API-Key": API_KEY,
    "Content-Type": "application/json"
}

response = requests.post(url, headers=headers, json=payload)
data = response.json()

print(data)

2. Using httpx (Synchronous and Asynchronous)

Synchronous GET example:

import httpx

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi"
params = {"height": 178, "weight": 82, "units": "metric", "lang": "en"}
headers = {"X-API-Key": API_KEY}

with httpx.Client() as client:
    response = client.get(url, headers=headers, params=params)
    data = response.json()
    print(data)

Asynchronous GET example:

import httpx
import asyncio

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi"
params = {"height": 178, "weight": 82, "units": "metric", "lang": "en"}
headers = {"X-API-Key": API_KEY}

async def fetch_bmi():
    async with httpx.AsyncClient() as client:
        response = await client.get(url, headers=headers, params=params)
        data = response.json()
        print(data)

asyncio.run(fetch_bmi())

POST example (async):

async def post_bmi():
    payload = {"height": 178, "weight": 82, "units": "metric"}
    async with httpx.AsyncClient() as client:
        response = await client.post(url + "/post", headers=headers, json=payload)
        data = response.json()
        print(data)

asyncio.run(post_bmi())

3. Using urllib (Standard Library)

import json
from urllib import request, parse

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi"
params = {"height": 178, "weight": 82, "units": "metric", "lang": "en"}
query_string = parse.urlencode(params)
full_url = f"{url}?{query_string}"

req = request.Request(full_url, headers={"X-API-Key": API_KEY})
with request.urlopen(req) as response:
    data = json.load(response)
    print(data)

POST request using urllib:

payload = json.dumps({"height": 178, "weight": 82, "units": "metric"}).encode("utf-8")
req = request.Request(url + "/post", data=payload, method="POST")
req.add_header("Content-Type", "application/json")
req.add_header("X-API-Key", API_KEY)

with request.urlopen(req) as response:
    data = json.load(response)
    print(data)

import aiohttp
import asyncio

API_KEY = "YOUR_API_KEY"
url = "https://api.hefitapi.com/api/v1/bmi"
params = {"height": 178, "weight": 82, "units": "metric", "lang": "en"}
headers = {"X-API-Key": API_KEY}

async def fetch_bmi():
    async with aiohttp.ClientSession() as session:
        async with session.get(url, headers=headers, params=params) as resp:
            data = await resp.json()
            print(data)

asyncio.run(fetch_bmi())

POST example (aiohttp):

async def post_bmi():
    payload = {"height": 178, "weight": 82, "units": "metric"}
    async with aiohttp.ClientSession() as session:
        async with session.post(url + "/post", headers=headers, json=payload) as resp:
            data = await resp.json()
            print(data)

asyncio.run(post_bmi())

5. Notes & Best Practices

  • Always replace YOUR_API_KEY with your actual API key.
  • Use lang parameter for multi-language support (en, fr, de, es, etc.).
  • For production, consider connection pooling (httpx client) and async requests for performance.
  • Handle errors gracefully: HTTP status codes, timeouts, and exceptions.
  • Responses include risk signals, action plans, and enterprise metadata when available.

Next Steps

Check other language-specific examples:

Start integrating Health Fitness API into your Python apps today!

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