Real-Time Hyperliquid Homepage Data Scraper

We are seeking a reliable solution to capture and log all transactions and newly registered items on the Hyperliquid website in real-time. The system must record transaction IDs, timestamps, and amounts continuously, with minimal latency. It should be resilient to connection interruptions and adaptable to changes in page structure to ensure no transactions are missed.

Output Requirements:
The captured data should be exportable or streamable in a flexible manner, including options such as:
Local file storage (CSV, JSON, Excel)
Pushing to a small API endpoint
Storing in a SQL database
Additionally, the solution must include a web or desktop interface that displays data changes in real-time.
Technical Requirements:
Languages/Frameworks: Python or Node.js
Web Scraping: Selenium, Puppeteer, BeautifulSoup, or a headless browser of your choice
Real-Time Handling: WebSocket integration for live updates
Data Processing: Cleaning and formatting of scraped data
Interface: Desktop GUI (PyQt) or web interface for monitoring

The solution should prioritize reliability, handle reconnections automatically, and be robust against minor changes in the website’s layout. Dependency management should be minimal, and setup should be simple and straightforward.

Deliverables:
A fully functional script or service with ready-to-run setup
Real-time interface displaying transaction IDs, timestamps, and amounts
Configurable output destinations (file, API, database)
Brief documentation with instructions for installation, starting, stopping, and changing output targets