I have a website that I need fully scraped for product details and exported into a single, clean CSV file. The CSV should capture every publicly visible field that shoppers see and that I can use for inventory management: product name, price, full description, image URLs, stock availability, SKU and any variant or option information the site provides. The scraper or script can be built in the language or framework you’re most comfortable with—Python (BeautifulSoup, Scrapy or Selenium) is fine, but I’m open to other approaches as long as it reliably pulls the data in one pass and is repeatable whenever the catalogue updates. Key points • Crawl every product page and respect pagination or lazy-load sections so nothing is missed. • Output one row per SKU, with separate columns for each of the fields listed above. • Image links should be absolute URLs, not relative paths. • Stock status must reflect whatever indicator the site uses (e.g., “In stock”, “Out of stock”, quantity left). • Provide clear setup instructions and any dependencies so I can run the scraper again on my end. Please let me know what additional information you need—site URL, login cookies, or sample output—so you can get started quickly. I’m ready to move as soon as you confirm the approach and timeline.