Fashion is an ever-changing industry constantly trying to identify the newest trends across different news outlets in order to provide successful collections year-round. Utilizing this program, users can read a website into a text file and use functions through the terminal to identify trends or compare common fashion words through a GUI. Alongside 2 other developers we created a multistep process to read, store, and display data. First a web scraper, that takes in a URL and identifies its title, publish date, and body text; this is converted into a text file. This article will then get parsed and counted looking for articles of clothing. The title, date, articles (and their count) is saved into a csv. The GUI reads the information for the chosen website and displays it accordingly as a bar graph or a pie chart.