This project creates a website to help users choose used car based on the users’ filter condition. Users will be asked to enter four filter conditions, which are Body type, Postal Code, Min Year and Budget. Then, the backend will run a puppeteer Node.JS file to collect the first 99 newest car information and store the information in database. When the enough data has been collected. A Python file will be run to calculate which 6 used car are most worth to buy and display them to users.