I need a complete scrape of one e-commerce site so I can analyse and re-organise the catalogue internally. The job is straightforward: • Capture every product’s name, full description, current price and images. • Deliver the results in a single Excel workbook, neatly structured—one row per product with clear column headers and no duplicates. • Make sure text is UTF-8 clean and numbers stay numeric so I can sort and filter without extra fixes. I will share the target URL and any navigation pointers once we start. Feel free to use Python, Scrapy, BeautifulSoup, Selenium, or another reliable toolset; the only point that matters is an accurate, complete export that matches what users see on the live site. Please allow for basic checks on your side to catch missing fields or pages that load via lazy-scroll. If the site uses pagination or Ajax calls, handle those so nothing is skipped. When you hand off the Excel file, I’ll spot-check a sample against the site. If everything lines up, the task is done—no extra polishing needed.