This is a Test Automation Framework with Python that is used to automate CRUD APIs

PyRest is an automation framework to test REST API endpoints. This framework includes methods to download the image files from the rest API and then compare with the stored image files. This framework is built in Python and inspired from the simplicity of Karate framework by Intuit and snapshot ...

1 month ago - Build Python automation Utilities to test Rest API’s with SQL DB Integration, Batch Jobs Automation,Web Scraping etc

May 9, 2025 - This article is a tutorial of how you can start to write your automated tests for an API using python and pytest framework and how generate one report html. You can access the project used in this tutorial here.

Welcome to the Test Automation University course on building an API test automation framework with Python.

Complete Automation framework for API using python + pytest +requests +github actions - NAVEENINTEL/python-pytest-api-testing

In this framework we will be automating the four basic API request methods i.e. POST, PUT, GET and DELETE. The step file is used to map the steps described in the feature file. The fiel contains the multiple step files for each feature file and has the respective steps included · Python’s behave library is very accurate to map the steps with the steps described in the feature file.

A Rest-API test automation framework which is build on the top of Python language using PyTest Framework.

May 29, 2025 - Hey everyone 👋 In this article, we’ll go through how to build a scalable API automation framework using Python’s Pytest and Requests libraries, generate dynamic test data with Faker, and integrate Allure reports for detailed test insights.

November 26, 2025 - With hands-on projects and real-world examples, this course equips you with the skills to build robust API test automation frameworks and integrate them into a continuous testing pipeline. ... ✔ API Testing Fundamentals – Understand REST APIs, HTTP methods, and response validation. ✔ Postman for API Testing – Create and automate API requests, validate responses, and use variables. ✔ Python Requests Library – Write API automation scripts for GET, POST, PUT, DELETE methods.

May 8, 2025 - From simple status checks to schema validations and performance benchmarks, Python’s ecosystem provides everything you need for robust, scalable, and maintainable test automation. ... Whether you’re working in a small team or a large enterprise, incorporating automated API testing into your workflow will pay dividends in reliability and speed.

November 2, 2021 - Build a Python Rest API automation framework from scratch using PyTest and Docker.

July 19, 2021 - PyTest is a testing framework that allows users to write test codes using Python programming language. It helps you to write simple and scalable test cases for databases, APIs, or UI.

February 20, 2025 - API testing is a crucial part of software development, ensuring that applications communicate correctly. In this article, we’ll automate API testing using Python’s requests library with ReqRes.

June 28, 2024 - To make it simple and easy to understand, we will walk through the automation of a test case using one of the free Public APIs — Bitly API. Bitly is a URL-shortening service that allows users to create shortened versions of long URLs, making them easier to share, manage, and track. ... Ensure that Postman is downloaded and Python is installed (check links if you need help with setup).

November 23, 2020 - Introduction to the course and setting up python and required dependencies for building an API framework

July 1, 2025 - Test cases should be designed to cover all the possible scenarios that the API may encounter. There are several Python API testing frameworks available for API automation, including Pytest, unit test, and Robot Framework.

January 8, 2021 - Notice, we have created wrapper methods for the HTTP operations that our current framework needs, namely post(), delete() and also we are wrapping the response object into a custom object that we control. This is very powerful for the above mentioned reasons · We can now easily modify request libraries behavior without changing underlying tests · Our clients are not depending on requests library and we are free to switch to a different implementation in the future if such a need arises. We also make use of Pythons @dataclass annotation to create this data holder and use the private method __get_responses to take a response object from requests and then return our own implementation.