In the realm of social media, engagement is key. For Facebook, in particular, having a robust number of likes on posts and pages can significantly enhance visibility and credibility. This led to the emergence of various tools and software designed to automate the process of liking posts, thereby artificially inflating engagement metrics. One such tool that gained considerable attention was PhantomBuster, a web scraping and automation tool that included a feature known as an auto-liker for Facebook. This essay explores the functionality, implications, and eventual downfall of PhantomBuster, focusing on its Facebook auto-liker feature.