Playwright
playwright.dev › api testing
API testing | Playwright Python
Prepare server side state before visiting the web application in a test. Validate server side post-conditions after running some actions in the browser. All of that could be achieved via APIRequestContext methods.
DEV Community
dev.to › m4rri4nne › automating-your-api-tests-using-python-and-pytest-23cc
Automating your API tests using Python and Pytest - DEV Community
May 9, 2025 - The name of your environment can be anyone, just remember that python is case sensitive, take a look at PEP 8 Style Guide to learn more about Python convention. ... Create a folder for your project, after that, open your cmd and navigate to this folder using the command cd: ... As we're going to test APIs, we need to install dependencies to help us during our tests, first we will install the requestslibrary to help us to make the requests: PS: Make sure that your environment is activated before run this command
API testing for new project (new to APIs)
I would choose your language first, and then a testing toolkit second. REST-assured is cool, but if nobody’s a Java expert, there’s no reason to learn Java just to use it. I’ve done a LOT of API testing over the past 18 years or so, but never have done it with Postman. In my case, it’s always been a matter of developing test automation in whatever the language of choice is - Java, C#, Python. More on reddit.com
Help with a python API test framework
Robot framework https://github.com/robotframework/robotframework
More on reddit.comintegration tests for python apis
The only thing that might be beneficial is mocking the data
More on reddit.comWhat tools do you use for API testing at work? What tools would you like to use at work if you had a choice?
One of the options I've found is python requests module (allows for sending http requests) in combination with pytest (test runner and assertions) and I kind of like this approach since it feels like i can do things my way rather than conform to the tool like Postman [emphasis added] You've hit the nail on the head. Once you start to do more complex testing, you will hit the limitations of postman very quickly (and spend a lot of time trying to figure out how to work around them). Using a real programming language and rest client library for automation gives you all kinds of flexibility, but of course, the knowledge requirements are higher--you have to know how to program. Edit: this same issue is true for a lot of no-code and low-code automated testing tools in my experience. To answer your question: here's the situation at my employer, manual testing: Postman load testing: gatling (with Java, not scala) AND postman, but we're phasing out postman for the reason mentioned above; it was great to get some tests up and running quickly but we're already hitting its limitations automated functional testing: Java with RestAssured More on reddit.com
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Medium
medium.com › @anandJeyakumar › automating-api-testing-with-python-requests-a-hands-on-guide-ba7c70d9d52a
Automating API Testing with Python Requests: A Hands-on Guide | by Anand Jeyakumar | Medium
February 20, 2025 - def update_user(user_id): url = f"{BASE_URL}/{user_id}" data = {"name": generate_random_name(), "job": "Updated Automation Tester"} response = requests.put(url, json=data) assert response.status_code == 200 print(json.dumps(response.json(), indent=4)) ... def delete_user(user_id): url = f"{BASE_URL}/{user_id}" response = requests.delete(url) assert response.status_code == 204 print(f"User {user_id} deleted successfully.") ... Python’s requests library makes API testing simple and effective.
CoderPad
coderpad.io › blog › development › how-to-test-python-rest-apis
How to Test Python REST APIs - CoderPad
April 15, 2026 - import unittest from unittest import TestCase from flask_api_5 import CustomFlaskAPI, PostOutput from flask import Flask, jsonify, request, views from marshmallow import Schema, fields, validate app = Flask(__name__) class PostOutput(Schema): answers = fields.Int( required=True, strict=True, # Must be a whole number validate=validate.Range(min=1), # Must be positive ) class CustomFlaskAPI(views.MethodView): def post(self): result = { "answers": request.json.get("children", 0) + 1, } errors = PostOutput().validate(result) if len(errors) != 0: # Errors instead of returning malformed data return
Medium
medium.com › @algoshackt › api-testing-with-python-a-practical-guide-for-software-developers-0d7bd1da3872
API Testing with Python: A Practical Guide for Software Developers | by Algoshack | Medium
November 30, 2023 - Because of the language’s flexibility, developers may create expressive and reliable scripts, which improves the effectiveness and efficiency of API testing. Frameworks like Requests and modules like PyTest, which simplify API testing and improve overall testing capabilities, are part of Python’s extensive ecosystem.
Testmuai
testmuai.com › testmu ai › learning hub › a complete guide to pytest api testing
A Complete Guide To pytest API Testing
It confirms the response matches ... cases the application depends on. Pytest is a popular Python testing framework that offers a simple and flexible way to write and run those tests....
Published: November 25, 2025
NashTech Blog
blog.nashtechglobal.com › home › api testing with pytest and python requests: a beginner’s guide
API Testing with Pytest and Python Requests: A Beginner’s Guide - NashTech Blog
December 5, 2024 - The function whose name starts with “test” will be recognized as a test case. ... For calling basic API, we only need to imports requests package and call the necessary function like get, post or delete ... Python Request supports various kinds of authentication method like basic authentication or bearer token,etc.
Tavern
taverntesting.github.io
Easier API testing | Tavern
Tavern supports testing RESTful APIs as well as MQTT based APIs. Tavern acts as a pytest plugin so that all you have to do is install pytest and Tavern, write your tests in .tavern.yaml files, and run pytest. This means you get access to the entire pytest ecosystem. You can also integrate Tavern into your own test framework or continuous integration setup using the Python library, or use the command line tool, tavern-ci with bash scripts and cron jobs.
Blazemeter
blazemeter.com › blog › python-api-testing
How to Do Python API Testing with Apiritif | Perforce BlazeMeter
July 8, 2025 - Most programming languages support running such tests with unit test frameworks. This tutorial will demonstrate how to write unit tests for your API testing with Python and Apiritif. First, this tutorial will give an overview of Apiritif, a set of Python utilities for API testing that works with the nose unit test framework.