I have a vehicle-search form on a public website and I need every possible outcome captured—Make, Model, Year, and Window type for each combination—then exported to a clean, well-structured CSV. The form is dynamic, so the scraper must handle cascading dropdowns or any JavaScript that reveals further options. Rate-limiting and IP defenses are in place; please build your script to stay under the radar by smartly rotating proxies, varying user-agents, and pacing requests. Headless browsers such as Playwright or Puppeteer are fine if necessary, but I’m equally happy with a lean Python stack (Requests, Selenium, Scrapy, BeautifulSoup, Pandas) provided it finishes the job without getting blocked. When you’re done I should be able to: • Open one CSV file containing every unique Make / Model / Year / Window record with consistent column headers. • See proof that the script can resume or rerun without duplicate entries or manual cleanup. • Receive the executable code or notebook plus a short README explaining environment setup, the proxy pool logic, and how to trigger a full refresh. If you have previous work that shows you can bypass rate limits gracefully, that will move you to the top of the list.