E-commerce UI Automation (Myntra)
End-to-end UI automation of a real-world e-commerce platform using Pytest
This project focuses on automating real-world user workflows on the Myntra e-commerce platform using Pytest and Selenium.
Unlike demo applications, this project deals with dynamic UI behavior, real data, and complex user interactions.
Project Overview
The automation suite covers key user journeys such as:
- Product search and filtering
- Navigation across categories
- Product selection and validation
- UI behavior verification
The goal was to simulate realistic user actions and validate application behavior under dynamic conditions.
Approach
Testing an e-commerce platform requires handling variability in UI and data.
This project focuses on:
- Writing resilient locators for dynamic elements
- Handling asynchronous content loading
- Structuring tests for readability and reuse
- Keeping the framework stable despite UI changes
Tech Stack
- Python
- Pytest
- Selenium WebDriver
Key Features
- Automation of real-world user scenarios
- Handling dynamic UI elements
- Structured test design using Pytest
- Maintainable and scalable test approach
Sample Flow
Repository
Explore the full implementation here:
https://github.com/beinghumantester/Myntra_UI_Automation_Through_Pytest
Key Takeaway
Testing real-world applications is very different from testing demo apps.
This project highlights the challenges of dealing with dynamic UI, unpredictable data, and complex user flows — and how structured automation can still provide reliable validation.