I need every publicly visible email address listed on https://www.wlw.de/de/showroom-cate/werkzeugmaschinen-600703 gathered and delivered as a clean, ready-to-use text file. Scope • Crawl all company and profile pages reachable from the URL above. • Extract only valid email addresses; no contact forms or placeholders. • Remove duplicates and obvious role-based spam traps (e.g., info@, webmaster@) only if they repeat—do not filter out legitimate addresses solely because they are generic. • Verify each address syntactically so the file contains no broken strings. Deliverable A single .txt file with one email per line (newline-separated, exactly as requested). Quality I will quickly spot-check 10–15 random addresses; any bounce rate above 10 % or more than five obvious errors will require a revision. Timeline Let me know how soon you can finish. A concise status update after the first 30 % of pages scraped is appreciated so we can correct course early if needed. Tools & Method Whether you use Python, BeautifulSoup, Scrapy, Selenium, or manual collection is up to you—as long as the final list is accurate and complete. If the site uses dynamic loading, be prepared to handle it. If you’ve scraped WLW or similar B2B portals before, mention it; past success there will weigh heavily in my decision.