Selenium WebDriver with Python tutorial 14 - Find Broken Images using Selenium WebDriver

#SeleniumWebDriver #PythonAutomation #SeleniumTutorial #WebDriverTutorial #PythonProgramming #AutomatedTesting #BrokenImages #WebTesting #QAAutomation #SoftwareTesting #PythonSelenium #TestAutomation #QualityAssurance #WebDevelopment #SeleniumPython #ProgrammingTutorial #CodeTutorial #SeleniumTips #WebTestingInPython #TestAutomationScript

🚀 Welcome to Tutorial 14 of Selenium WebDriver with Python series! Learn how to find broken images using Selenium WebDriver. 🖥️🐍

In this tutorial, we dive into the world of automated testing with Python and Selenium WebDriver. Discover the step-by-step process of identifying and handling broken images on web pages using powerful automation techniques.

🔍 What you'll learn in this tutorial:

Locating and interacting with elements on a web page 🎯
Implementing image verification for broken images 📸❌
Best practices for efficient and effective automated testing 🌐✨
👩‍💻 Prerequisites:

Basic understanding of Python programming 🐍
Familiarity with Selenium WebDriver basics ⚙️

CHAPTERS

00:22 Finding images returning 404 status code to identify broken images
00:54 Determining broken images by checking if the status code is not 200
01:03 Process of identifying broken images in Selenium WebDriver by checking image sources and using requests to validate them.
04:02 Creating a variable to store broken images as a blank array
04:02 Looping through each image element to extract the image source attribute
04:20 Using requests to check if the image source is valid and handling accordingly
05:25 Handling broken images in Selenium WebDriver using Python
07:39 Check if the response status code is 200, if not, append broken image sources
07:39 Print the list of broken images if found, loop through for multiple images

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