Company Contact Data Extraction

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.