I need a clean, one-off scrape of a large online retailer (I’ll share the exact store and URLs once we agree). The job is straightforward: pull three data points for every product I specify—current price, stated delivery time, and offer type (Retail, Seller, or Seller but shipped by Retail). The site employs standard anti-bot measures, so rotating proxies, respectful delays, or headless browsing may be required to keep requests under the radar. Please build the script with Python—BeautifulSoup, Scrapy, Playwright, or any reliable stack is fine—as long as it can be rerun on my side without extra fees or licences. Deliverables • A single Excel workbook. – One sheet per category or URL I provide – Columns: Product identifier (ASIN/SKU/URL), Price, Delivery Time, Offer Type • The well-commented source code or notebook used to collect the data • Quick readme explaining prerequisites and how to execute the scrape locally This is a one-time run, so no scheduling is necessary. Let me know your proposed approach, estimated turnaround, and how you’ll validate data accuracy before delivery.