The article explores the use of regular expressions (regex) in Python for web scraping, particularly when a target website lacks an API or the API does not return the desired data. It provides a tutorial on using regex with Python libraries like BeautifulSoup and requests to extract data from static and dynamic web pages, such as e-commerce and Wikipedia sites, and discusses the use of Selenium for dynamic sites. The article also highlights the limitations of using regex alone for web scraping, noting its lack of understanding of HTML structure and potential for unintended consequences. To address these issues, it suggests combining regex with HTML parsers like BeautifulSoup for more robust scraping. Additionally, the article warns about potential challenges in web scraping, such as IP bans and CAPTCHAs, and suggests using proxy services like Bright Data to mitigate these issues.