I need a standalone desktop program that lets me analyse horse races by pulling fresh horse-performance data directly from www.racenet.com.au. The application’s single job is to automate that scrape, store the information locally, then give me an interface where I can filter and compare runners so I can make better decisions before each meet. Key workflow • Scrape horse performance data (form, distance, track conditions, times, margins, etc.) from the public pages on racenet.com.au whenever I hit “update”. • Save everything to a local database so I can work offline once the sync is done. • Surface simple analytics—speed ratings, last-start comparisons, track/distance strike rates, and any other insights you can compute reliably from the scraped fields. • Clean, fast desktop UI (Windows) that opens instantly and doesn’t require separate installs of Python or other runtimes. Deliverables 1. Installer or portable EXE ready for Windows 10/11. 2. Source code with clear comments. 3. A brief README covering setup, how to add new scraping targets on racenet, and how to regenerate the database if needed. Acceptance criteria • One-click scrape pulls the latest horse performance data without captchas or manual intervention. • All key fields visible on racenet for each horse populate correctly in the local database. • Basic analytical views refresh in under two seconds on a typical laptop. • No paid API keys required—everything comes from the public site. I’m flexible on the tech stack: Python (BeautifulSoup/Selenium), C# (.NET), or even Electron if it stays lightweight. What matters most is reliable scraping, clean code, and a UI I can rely on race morning. Let me know your preferred approach and any similar projects you’ve tackled.