I need the entire product catalogue from one specific e-commerce site scraped and structured exactly like the sample file I will provide. The key fields I must see are the category path and product name for every item; any additional details you can capture that appear consistently (price, short description, SKU, image URL) are welcome as long as they remain in separate columns and match the sample layout. The workflow is up to you—Python with BeautifulSoup, Scrapy, Selenium, or another reliable crawler—but the final deliverable has to be a clean, de-duplicated .xlsx file ready for immediate analysis. If pagination, lazy-loaded images, or anti-bot measures are present, please factor that into your approach so the script runs unattended and can be reused later. Deliverables • Reusable scraping script with clear setup instructions • One Excel file containing the complete product list in the agreed column order • Short read-me outlining runtime, dependencies, and any edge-case handling I’ll share the URL and the sample extract as soon as we agree on timing.