Contact Info Scraping Lead Generation -- 2

I need to build a reliable, well-structured lead list and I already know exactly what it should contain. The task is to extract contact information—email addresses, phone numbers and full mailing addresses—from three sources: company and organisation websites, their public social-media profiles, and well-known online directories.

I expect the data to be gathered with a solid scraping workflow (Python, Scrapy, BeautifulSoup, Selenium or an equivalent stack is fine) and then verified so that bounced emails and dead numbers are kept to an absolute minimum.

Deliverables
• One CSV or Excel file with separate columns for name, company, job title, email, phone, street address, city, state, ZIP/postcode, country, source URL and date collected.
• No duplicates; every entry must be unique across the entire sheet.
• Accuracy rate of at least 95 % on all contact fields, demonstrated by a small random sample check before final hand-off.

If you already have scripts or tools that streamline collection from multiple sites at once, feel free to use them as long as the final file meets the criteria above.