Ecommerce Contact Detail Scraping

I need contact details gathered from a set of ecommerce websites. The information of interest is the usual outreach data—company name, contact person (when visible), email, phone number, and any publicly listed address. I will supply the list of storefront URLs; you can assume they are all standard web pages without API access.

The process must respect each site’s robots.txt and terms of service while still delivering a comprehensive, duplicate-free dataset. A Python-based approach using Scrapy, BeautifulSoup, or Selenium is fine, as long as the final script is reusable and clearly documented.

Deliverables
• Reusable scraping script with clear setup instructions
• Clean CSV or Excel file containing the extracted contacts, one row per company
• Brief read-me summarising methodology, runtime, and any edge-case handling

I will consider the job complete once the script runs successfully on my machine and the spreadsheet matches the provided URL list without missing entries or obvious parsing errors.