I need to pull data from several e-commerce sites that have recently added FriendlyCaptcha to block automated access. The core task is to produce a reliable scraper that can solve—or otherwise legally bypass—FriendlyCaptcha, fetch the target pages, and return clean, structured data. Here is what the job looks like from my side: • Target: publicly visible product pages on mainstream e-commerce domains (I’ll share the exact URLs once we start). • Challenge: every request now triggers FriendlyCaptcha; manual solving is not an option at scale. • Result I expect: a repeatable script or small service that logs in if needed, clears the FriendlyCaptcha hurdle automatically, then extracts product-level information and sends it back in JSON or CSV—whichever you prefer. I’m comfortable if you build this in Python (Playwright, Selenium, undetected-chromedriver, etc.) or Node.js (Puppeteer, Playwright). Use the tech stack you know produces stable results. Rotating proxies or headless browsers are perfectly fine; just document any external services so I can replicate the environment. Deliverables 1. Working scraper (source code) that completes one full run on my sample site without manual input. 2. Short setup guide: environment, dependencies, and how to launch. 3. Demonstration of at least one successful FriendlyCaptcha solve in a screen recording or live session. Feel free to outline your approach—especially how you plan to handle FriendlyCaptcha—when you reply.