response.status_code - Python requests Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report response.status_code returns a number that indicates the status (200 is OK, 404 is Not Found). Python requests are generally used to fetch the content from a particular resource URI. Whenever we make a request to a specified URI through Python, it returns a response object. Now, this response object would be used to access certain features such as content, headers, etc. This article revolves around how to check the response.status_code out of a response object. To know more about Status codes for HTTP, visit - HTTP status codes | Successful Responses and HTTP status codes | Informational Responses. How to use response.status_code using Python requests? To illustrate use of response.status_code, let's ping api.github.com. To run this script, you need to have Python and requests installed on your PC. Prerequisites - Download and Install Python 3 Latest Version How to install requests in Python – For windows, linux, mac Example code - Python3 # import requests module import requests # Making a get request response = requests.get('https://api.github.com/') # print response print(response) # print request status_code print(response.status_code) Example Implementation - Save above file as request.py and run using Python request.py Output - Check that and 200 in the output which refer to HttpResponse and Status code respectively. Advanced Concepts There are many libraries to make an HTTP request in Python, which are httplib, urllib, httplib2, treq, etc., but requests is the one of the best with cool features. If any attribute of requests shows NULL, check the status code using below attribute. requests.status_code If status_code doesn't lie in range of 200-29. You probably need to check method begin used for making a request + the url you are requesting for resources. Comment More infoAdvertise with us N NaveenArora Follow Improve Article Tags : Python Python-requests Practice Tags : python Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 6 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 8 min read Recursion in Python 6 min read Python Lambda Functions 6 min read Python Data StructuresPython String 6 min read Python Lists 6 min read Python Tuples 6 min read Dictionaries in Python 7 min read Python Sets 10 min read Python Arrays 9 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 6 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 11 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 10 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like