In the modern era, a great number of individuals use the internet to find tourism websites that provide the services they require. The usability of tourism websites is critical to assisting travellers. To design good tourism websites, you must first understand the usability factors. Tourism websites play an important role in the industry because they are key sources of information and engagement for potential visitors. As a result, it is critical to design an automated tool for evaluating the usability of these websites. Many researchers have created multiple tools and techniques for evaluating websites for various objectives. However, there has been little research into measuring website usability through web parsing. This paper describes an automated tool for evaluating the usability aspects of tourism websites, with a focus on navigation and ease of use. The HTML parser is implemented in Python and utilizes BeautifulSoup to analyze a website’s analytics. Every measure was assigned a number value ranging from 0 to 1 using normalized modules. The value of 0 signifies the least preferable outcome, whereas a value of 1 represents the optimal value. Ten tourism-related websites successfully implemented the tool to achieve the desired outcomes. The usability of tourism-related websites ranged between 57% and 83%. This application provides great value to website experts by allowing them to assess usability and enhance website design. Another application for the tool is to evaluate and compare the usability of websites. In the future, we could use this tool to develop a machine-learning model for evaluating websites.