Automated Testing of Swag Labs Web Application with Selenium & PyTest 🚀

Introduction

Automated testing is a critical part of modern software development, ensuring web applications work as expected while saving time and effort. In this blog, I’ll walk you through how I automated the Swag Labs web application using Selenium WebDriver, Python, and PyTest, leveraging Page Object Model (POM) and Data-Driven Testing (DDT) to improve test efficiency, maintainability, and scalability.

🔧 Tools & Technologies Used

• Selenium WebDriver – For browser automation
• Python & PyTest – For scripting and test execution
• Page Object Model (POM) – To separate page interactions from test logic
• Data-Driven Testing (DDT) – To run tests with multiple datasets for robust validation
• Excel & PyTest Parameterization – For managing test data
• Cross-Browser Testing – Ensuring compatibility across Chrome, Firefox, Edge, and Safari
• CI/CD Integration (Optional) – Can be integrated with GitHub Actions or Jenkins

🏗️ Key Features Implemented

✅ Authentication & Login/Logout Automation
Automated user login with multiple credentials (standard_user, problem_user, performance_glitch_user, locked_out_user, guvi_user) and verified logout functionality, ensuring secure session management.

✅ Button Functionality & Page Verification
Tested core buttons (Login, Logout, Cart, Checkout) and verified webpage navigation and title to ensure expected behavior.

✅ Random Product Selection & Cart Verification
Implemented Python logic to randomly select four products out of six, add them to the cart, and validate cart contents dynamically without hardcoding products.

✅ Checkout Automation & Screenshot Capture
Automated entering user details during checkout, verified product details in the overview, captured screenshots in PNG/JPG format, and completed the checkout process.

✅ Data-Driven Testing (DDT) via Excel
Used PyTest parameterization and test data from TestData/data.py and TestData/testdata.xlsx to run tests with multiple datasets, covering various scenarios and edge cases.

✅ Cross-Browser Testing
Executed scripts across multiple browsers (Chrome, Firefox, Edge, Safari) to ensure consistent functionality and user experience.

🚀 Benefits of This Automation Approach

✔ Enhanced Test Coverage – Multiple datasets validate different scenarios, reducing manual oversight
✔ Faster Execution – Automation speeds up repetitive testing
✔ Improved Maintainability ** – POM ensures reusable, organized, and easy-to-maintain code
✔ **Scalable for CI/CD – Seamless integration with CI/CD tools enables automated regression testing
✔ Cross-Browser Assurance – Validates functionality across different browser environments

📌 Conclusion

Automating the Swag Labs web application using Selenium and PyTest helped increase efficiency, improve maintainability, and enhance test coverage. Using POM and DDT makes the framework scalable and easy to extend for future test cases.

This approach can be adapted for any web application, providing a robust solution for automated quality assurance.

💡 Check out the source code on my GitHub repository: Capstone Project Repository

Got questions or suggestions? Drop a comment below! 🚀