The article provides an in-depth comparison of various HTML parsers, highlighting their definitions, functionalities, and criteria for evaluation. HTML parsers are libraries designed to convert HTML documents into a structured data format, facilitating web scraping by identifying elements like tags and attributes to build a navigable parse tree. The article reviews several popular parsers across different programming languages, including jsoup (Java), Nokogiri (Ruby), Beautiful Soup (Python), and Cheerio (JavaScript), discussing their pros and cons, such as support for CSS selectors and XPath expressions, performance, and community support. It emphasizes the importance of choosing the right parser based on specific project needs and programming languages while acknowledging potential challenges posed by anti-bot technologies on websites. The article concludes by suggesting complementary tools like Bright Data and Scraping Browser to enhance web scraping capabilities.