Hobby Joggers

Welcome to HobbyJoggers.net, your go-to platform for analyzing running results from top sources like MileSplit, Athletic.net, World Athletics, and NCAA. Powered by Python, our platform leverages cutting-edge web scraping techniques to collect, organize, and present comprehensive data on track and field performances, cross-country results, and road races.

Whether you’re a coach, athlete, or fan, HobbyJoggers.net simplifies access to the stats you need, offering insights into trends, rankings, and individual performance progressions. Stay ahead of the competition with accurate, real-time data—because every second counts.

My website dynamically generates webpages using HTML, CSS, and JavaScript on the front end to display running results fetched from the database. On the backend, the server runs Node.js 20 with Express and MySQL2 to handle requests and serve the webpage, while results are scraped primarily from Athletic.net, for now, using Python and stored in a MySQL database. The web app and database are both hosted on Microsoft Azure with Cloudflare DNS and are deployed with GitHub, ensuring seamless performance and scalability.

In the year selector, 0_example is a table with example information to show how the Quick Links table is dynamically generated using the information in the database table.