The task is to harvest up-to-date contact information—specifically email addresses and phone numbers—directly from company websites and reputable online directories. I will supply either an industry list or a set of search keywords; from there the process should combine targeted web search with automated or semi-automated scraping techniques to capture accurate data. Key requirements • Sources: only official company sites and established online directories (no social media scraping needed). • Data points: company name, website URL, verified email address, direct phone number, plus the page link where each piece of information was found. • Format: clean, de-duplicated Excel or CSV file ready for import; one row per company. Quality expectations • Emails must pass basic validation and phones should include country/area codes. • At least 95 % accuracy, with invalid or missing items clearly flagged. • All scripts, code, or scraper settings used remain my property upon delivery so I can rerun the process later if needed. Please schedule milestones around sample delivery (first 50 records) and final hand-off. Let me know your preferred scraping stack—Python, BeautifulSoup, Selenium, Octoparse, etc.—so I can ensure compatibility with my environment before we begin.