Nationwide Car Dealer Data Scraper

I need a reliable scraper built to capture every franchised and independent car dealership in the United States—both new-vehicle and used-vehicle operations. The data I must see in the final file are dealership name, street address, city, state, ZIP, phone number, website URL, and the primary brands they sell. Approved data sources are Google Maps and individual dealership sites, state dealer-license lists, and the major car-brand dealer-locator pages. Please crawl all three so coverage is truly nationwide. If a company runs several lots, I want a separate directory entry for each different address/phone combination. After harvesting, remove any duplicates across the sources, then export a clean, UTF-8 CSV that is ready for import into my existing WordPress directory plugin. A quick test import on a staging site will serve as proof that the file structure is correct. I’m comfortable with Python, Scrapy, BeautifulSoup, Selenium, or similar stacks, so feel free to use whichever toolkit lets you respect rate limits and still finish the job efficiently. Deliverables • Scraper scripts with clear setup instructions • De-duplicated CSV containing all required fields • One test import demonstrating the file loads flawlessly into WordPress Let me know your timeline and any clarifying questions—looking forward to getting this data live.