I need a reliable way to collect product details from several e-commerce sites. I am open to either a fully automated scraper (Python, Selenium, BeautifulSoup, Playwright, etc.) or a well-structured manual process if that proves more stable for the target storefronts. Scope • Target pages: standard product listings and their individual detail pages on the chosen e-commerce sites. • Data fields: everything typically shown on a product page—title, SKU, description, images (URLs are fine), specifications, and the price shown at the moment of capture. • Output: please compile the final dataset in HTML or PDF, whichever reliably preserves the product information and any inline images. If your workflow first generates CSV/JSON/Excel and then converts, that is fine as long as the final hand-over meets the requested format. Deliverables 1. The complete product detail file(s) in HTML or PDF. 2. Any scripts, notebooks, or step-by-step instructions needed to reproduce the scrape or to run future updates. 3. A brief run report noting site URLs scraped, date/time of extraction, and record count. Acceptance criteria • All pages assigned are scraped with no missing products. • Output opens cleanly in a modern browser or PDF reader and shows legible, well-structured information. • If automation is used, the code runs on a standard Windows or Linux box without extra licensing. Let me know which approach you recommend (manual versus automated), the estimated turnaround, and any clarifying questions you may have.