Building a reliable web data extraction application involves integrating various advanced technologies to automate the process of scraping, parsing, and transforming data from public webpages into structured JSON. This guide describes the creation of a single-page app that leverages Bright Data’s anti-bot infrastructure for web scraping, Supabase’s secure backend for authentication and data storage, and Lovable’s development tools for rapid app creation. The data extraction pipeline involves several steps: user input is authenticated and logged, the webpage HTML is fetched using Bright Data's Web Unlocker, converted to Markdown via Turndown, and processed by Google Gemini AI to generate structured JSON, which is then stored and displayed. Additional features include a user-friendly interface built with React and Tailwind CSS, secure authentication via Supabase, and the ability for users to view past data extraction activities. The guide highlights the benefits of using Markdown for cleaner AI input and emphasizes the ease of integration offered by Lovable's natural language-driven development environment, although it notes the importance of ensuring accurate implementation when integrating external tools.