Scrape Global Leads -- 2

I need a clean, well-structured database of 500,000 global leads built fast. The only data I care about is contact information—specifically verified email addresses and full mailing addresses—pulled directly from company websites. No phone numbers or extra demographic fields are required.

You may use any proven web-scraping stack you trust—Python with Scrapy or BeautifulSoup, Selenium, Octoparse, ParseHub, or a comparable solution—as long as the workflow scales and respects site terms. What matters to me is accuracy, deduplication, and a steady delivery pace.

Deliverables
• A master CSV (or Excel) containing: company name, email address, mailing address, country, and the source URL for each record.
• Weekly drop-offs of at least 50,000 validated leads so I can review progress.
• A brief log or script report that lets me reproduce or rerun the scrape if needed.

Acceptance Criteria
• Hard-bounced email rate below 5 %.
• No duplication across the 500 K set.
• All addresses trace back to live pages on the listed company websites.

If this volume and cadence fit your wheelhouse, tell me your toolchain and estimated timeline for the full 500 K.