Web scraping involves the automated extraction of data from websites, often requiring tools like Selenium for dynamic content. Selenium is an open-source tool that can simulate user interactions to scrape data from dynamic websites using Python. Setting up involves installing the Selenium and webdriver_manager packages, configuring environment variables, and launching a browser to begin data extraction. HTML elements can be located using methods like find_element and find_elements, utilizing locators such as By.ID or By.CSS_SELECTOR. Advanced techniques address challenges like pagination, login forms, CAPTCHAs, and handling cookies, with ethical considerations and best practices being essential to avoid legal issues. The tutorial guides users through scraping tasks using Selenium, demonstrating techniques for interacting with dynamic websites and overcoming common obstacles, while also suggesting alternatives like Bright Data for more efficient scraping solutions.