I have a curated list of specific company websites and I need an automated solution that extracts complete contact information from each one. The goal is to turn every URL into a clean, ready-to-use lead. WEBSITE : https://www.thomasnet.com/ The scraper should capture: • Email addresses • Phone numbers • Mailing addresses • LinkedIn profile link • Location (city / state / country) • First and last name • Occupation / job title • Company name • Company website A well-structured CSV or Excel file is the preferred output, with each field in its own column. I am comfortable with your choice of tech—Python with BeautifulSoup, Scrapy, or Selenium are all fine—as long as the script runs reliably and respects robots.txt and rate limits where required. Accuracy is more important than speed; every lead must be validated for correct formatting before delivery. Acceptance criteria 1. Script files and brief setup instructions are supplied. 2. Sample run on 5–10 sites shows all fields populated. 3. Final dataset contains 100 % of the requested fields for each captured contact. Let me know your estimated timeline and any questions about the target sites or output format.