I built an AI tool for viral YouTube thumbnails, and the next problem was obvious: finding the right creators to test it. If you’re still copying handles into a spreadsheet, you’re not just slow—you’re losing the game. In this video, I break down BrowserAct, an AI-powered browser automation tool that doesn’t just scrape data; it actually operates like a human. That means it can click, scroll, handle pagination and pop-ups, log into accounts, and even wait intelligently to avoid rate limits—so you can collect data from sites that normally block bots. I walk through BrowserAct’s template marketplace (like an Amazon product finder that exports clean data to CSV/JSON) and then show how I build a custom, reusable workflow from a template—like searching Reddit for a keyword and extracting full post details. The real win is maintenance: when a site changes its UI, brittle scripts break, but BrowserAct can adapt because it’s reasoning through the page as it browses. By the end, I export everything straight into Google Sheets and explain how you can plug outputs into automations (Make/n8n) to build production-grade discovery engines, market research pipelines, and lead-gen workflows on autopilot.