I have a collection of publicly accessible web pages and need all visible, valid email addresses extracted from them quickly and accurately. This is strictly a web-page scraping task—no social media sourcing and no API integrations—focused solely on contact information, specifically email addresses. You’re welcome to use Python (BeautifulSoup, Scrapy, Selenium, etc.) or any other language or framework you prefer, as long as the final deliverable meets the following criteria: • Every email collected must come directly from the specific pages I provide. • Duplicate entries, malformed addresses, and “noreply”-type emails must be removed. • The final output should be delivered in a clean CSV file (single column: Email) or a Google Sheet, ready for import. When responding, please include a short overview of your scraping approach and your estimated turnaround time so I can proceed with awarding the project promptly.