I need a reliable script that can pull live pricing details for car rentals from both the rental companies’ own sites and the big aggregator platforms in one pass. The goal is to feed it pickup / drop-off locations, dates, and driver age, then receive a clean CSV or JSON that lists vehicle class, daily and total price, currency, taxes & fees, and the URL it was scraped from. The scraper has to: • Navigate each target site automatically, including date pickers and location selectors. • Rotate user-agents / proxies or apply any other anti-bot tactics necessary to stay undetected. • Capture and log errors so a failed request never silently drops a row. • Be easy for me to rerun on demand—command-line or small web UI is fine, as long as setup is straightforward. I’m comfortable with Python (BeautifulSoup, Selenium, Playwright, Scrapy, etc.) or another language you can justify, as long as you hand over all source code, dependency files, and a quick start README. A brief demo video or screenshots validating the scraper against at least one aggregator and one direct company site will serve as the final acceptance test. When you bid, point me to a project where you’ve scraped dynamic travel data—or anything equally complex—so I can see how you handled pagination, captchas, or rotating IPs. If you’re confident you can handle both site types, I’m ready to move quickly.