I will give you a list of roughly forty face-wash SKUs from ten different brands, all hosted on the same e-commerce site. Your task is to scrape every customer review that appears on each product page and capture the information exactly as it is displayed. The workbook I need back must contain one worksheet per brand and include these columns, in this exact order: • Platform name • Brand name • Product / SKU name • Star rating (1-5) • Review text (verbatim, no edits or summaries) • Review date (if the site shows it) • Product URL Accuracy is crucial: please keep spellings, capitalisation and punctuation exactly as they appear online. A review should never be truncated or merged with another, and duplicate rows must be avoided. Because I will supply every product URL up front, the job is a single, one-off pull rather than a recurring scrape. Feel free to use any reliable stack—Python with Selenium, BeautifulSoup, Scrapy, or another method—as long as the final deliverable is a clean, well-structured Excel file that opens without errors and follows the layout above. Let me know your estimated turnaround time and any clarifying questions you might have once you see the URL list.