Scrape US Real Estate Firms

I need a fresh, accurate database of real-estate companies operating across the United States. The scraper must focus on two source types—real estate agency websites and real estate listing sites—while always staying within publicly available, legally compliant content and each site’s terms of service.

For every company you find, capture these fields:
• Company name (must be exact)
• Website URL
• Phone number (must be exact)
• Email (if published)
• Office address

Company name, phone number, and email are mission-critical, so I will be checking those first. Remove duplicates, normalise phone formats, and return everything in a single, tidy Excel file (.xlsx).

Technical stack is flexible, but I expect Python with BeautifulSoup, Scrapy, or Selenium—whatever combination you prefer—to keep the crawl respectful and efficient. If rate-limiting or CAPTCHA challenges arise, please describe how you’ll handle them without breaching site rules.

First milestone: 1,000 unique, fully verified records so I can gauge data quality. Alongside your bid, let me know:
• A brief example of similar scraping work you have completed (screenshots or code snippets welcome)
• How long the 1,000-record test batch will take you
• Your fixed cost for that batch and any pricing you envision for scaling up

Once the sample passes validation, I’m ready to commission a much larger pull.