Real Estate Buyer Leads Scrape

I’m collecting a new pool of Real Estate buyer leads and I need someone who can scrape the web efficiently and ethically to deliver accurate contact details. The focus is strictly on buyers— not sellers, not agents— so every record you gather should belong to an individual or entity actively looking to purchase property.

All I need for each lead is clean, current contact information (name, working email, and phone number where available). No property preferences or past purchase history are required at this stage.

Please pull from reputable, publicly accessible sources only and respect site terms of service while harvesting data. I’m happy to discuss your preferred stack—Python, Scrapy, BeautifulSoup, Apify, browser automation, or any combination that ensures speed and data integrity—and to agree on volume and turnaround once you confirm feasibility.

Acceptance criteria:
• A CSV or Google Sheets file containing unique buyer entries, each with at least one verified email.
• Bounce rate under 5 % when emails are tested.
• Clear notation of the source URL for every lead so I can confirm compliance.

If you have a sample or past project in the Real Estate space, feel free to reference it when you message me. Looking forward to seeing how quickly you can deliver solid buyer contacts.