Business Contact Data Mining

I need contact information—emails, phone numbers, and publicly listed addresses—pulled from a shortlist of business websites plus their connected social-media pages. The job covers two complementary parts:

1. Reliable extraction
• Build or adapt scrapers (Python, Scrapy, Selenium, BeautifulSoup or similar) that can navigate each site’s structure and any basic anti-bot measures.
• Deliver the raw code with clear comments so I can rerun it later, along with a clean, de-duplicated CSV/JSON of all contacts found.

2. Security & compliance
• Ensure the harvesting process respects robots.txt and platform terms.
• Harden the scraper (rotating proxies, rate limiting) and store the output securely, providing a brief note on the safeguards you applied.

Acceptance criteria
• ≥95 % accuracy on test samples I provide, zero duplicate rows.
• Scripts execute on a vanilla Linux VPS with no manual tweaks.
• Final dataset and code bundle delivered via an encrypted archive.

If you have both strong web-scraping skills and a practical cybersecurity mindset, I’d like to hear how you would tackle this and the tools you’d choose.