Web scraping involves extracting data from websites using automated tools, and Google Sheets is a practical tool for such tasks, especially for structured or tabular data from static websites. This guide demonstrates how to use Google Sheets with its IMPORTXML and IMPORTHTML formulas to scrape data without needing extensive coding skills, illustrated through examples like retrieving book details from a website. However, Google Sheets is limited in handling dynamic content, pagination, or complex interactions required by some web pages. For more advanced needs, such as dealing with large datasets or dynamic content, services like Bright Data offer APIs that simplify the scraping process by managing complexities like IP rotation and CAPTCHA challenges. While Google Sheets can automate data refreshes at set intervals, it lacks flexibility, making it less suitable for large-scale or complex scraping tasks where third-party solutions might be more effective. Users should adhere to best practices like respecting website terms and using proxies to avoid IP bans, ensuring compliance with ethical and legal standards in web scraping.