The guide provides a comprehensive overview of Ferret, an open-source web scraping library written in Go that employs a declarative approach for data extraction through its custom Ferret Query Language (FQL). It details how to set up Ferret in a local Go environment and demonstrates its application in scraping both static and dynamic websites, highlighting its ability to simplify the web scraping process by focusing on what data to retrieve rather than how. Despite its popularity, Ferret's limitations include poor documentation, infrequent updates, lack of support for anti-scraping measures, and limited expressiveness compared to newer tools like Playwright or Puppeteer. The guide suggests considering more robust alternatives, such as Bright Data's AI infrastructure, for scalable and compliant web data extraction.