How to use API in Python

1 min readAPIHTTPMicroservicesAdvanced
7-Day Challenge

Land Your First Data Science Job

A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.

Build portfolios that hiring managers love
Master the Python and SQL essentials to be industry-ready
Practice with real interview questions from tech companies
Access to the $100k/y Data Scientist Cheatsheet

Join thousands of developers who transformed their careers through our challenge. Unsubscribe anytime.

Using an API in Python involves sending HTTP requests to an API server and processing the response that is received. To make HTTP requests, you can use the requests library in Python.

Here's an example of how to send a GET request to an API and print the response:

import requests

url = "https://api.example.com/data"

response = requests.get(url)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print("Request failed with status code:", response.status_code)

In this example, the requests.get() function is used to send a GET request to the specified url.

The response from the API is stored in the response variable, which can be checked for the HTTP status code (e.g. 200 for success) to ensure that the request was successful. The .json() method is used to parse the JSON data in the response.

For more advanced usage, you can also send POST requests with payload data, include custom headers, handle authentication, and more.

Check the documentation of the requests library for more information.

7-Day Challenge

Land Your First Data Science Job

A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.

Build portfolios that hiring managers love
Master the Python and SQL essentials to be industry-ready
Practice with real interview questions from tech companies
Access to the $100k/y Data Scientist Cheatsheet

Join thousands of developers who transformed their careers through our challenge. Unsubscribe anytime.

Free Newsletter

Master Data Science in Days, Not Months 🚀

Skip the theoretical rabbit holes. Get practical data science skills delivered in bite-sized lessons – Approach used by real data scientist. Not bookworms. 📚

Weekly simple and practical lessons
Access to ready to use code examples
Skip the math, focus on results
Learn while drinking your coffee

By subscribing, you agree to receive our newsletter. You can unsubscribe at any time.