Industry Contact Data Scraping

I’m compiling a fresh, accurate list of contact information for companies in a single, clearly-defined industry. The data must come from three source types—company websites, social media profiles, and reputable online directories—so I can be sure it’s both comprehensive and up to date.

What I’ll need from you
• Extract names, their vehicle info, emails, phone numbers, physical addresses, and active website or profile URLs.
• Cross-check each entry across at least two of the approved sources to minimise errors and duplicates.
• Organise everything in a clean, well-structured Excel spreadsheet with separate columns for every field, consistent formatting, and no blank placeholders.

I’m open to your preferred toolkit—Python, BeautifulSoup, Scrapy, Selenium, or even manual curation if that’s faster for niche sites—so long as the final sheet is accurate and ready to filter or bulk-import.

Acceptance criteria
1. Minimum 95 % valid emails (hard-bounce tests welcome).
2. Zero duplicate rows.
3. Excel file passes a quick spot-check against the live sources.

If this sounds straightforward and you’ve handled similar scraping or data procurement projects before, let’s get started.