Prabhat Korshub Blogs

  Introduction Automation testing has revolutionized how modern software applications are tested. Among various tools available, Selenium stands tall as one of the most powerful and widely used open-source frameworks. When combined with Python , Selenium becomes even more versatile, thanks to Python’s simplicity, readability, and massive ecosystem of libraries. But running standalone Selenium tests isn’t enough for enterprise-level testing. That’s where Automation Frameworks step in — they make testing scalable, maintainable, and reusable. In this article, we’ll explore different Selenium Python WebDriver frameworks like Data-Driven , POM (Page Object Model) , Hybrid , and Reporting integration , and how they transform raw scripts into a structured testing powerhouse. Getting Started with Selenium WebDriver Installation and Setup To begin, install Selenium in Python using: pip install selenium Next, download a WebDriver (like ChromeDriver or GeckoDriver) that matches your...

  In today’s agile software development world, test automation has become a vital component of delivering quality software at speed. One of the most popular tools for web application testing is Selenium WebDriver . Combined with Python, Selenium offers a powerful and flexible test automation solution. In this blog post, we will walk through the creation of a robust, scalable, and maintainable Selenium Python WebDriver Test Automation Framework , using the best practices like the Page Object Model (POM) , Data-Driven Testing , Hybrid Framework Design , and HTML Reporting . 🧰 Why Selenium with Python? Before diving into the framework, let’s quickly touch on why Selenium with Python is a solid choice: Simplicity & Readability : Python syntax is clean and readable, reducing the learning curve. Vast Ecosystem : Python’s libraries (like unittest , pytest , openpyxl , pandas , HTMLTestRunner ) make the automation process smoother. Strong Community Support : Python and S...