I need clean, reliable product-level data pulled from popular e-commerce sites and delivered in a structured format I can feed straight into my analysis pipeline. The focus is on product details only—titles, descriptions, specifications, images, SKU, category tags and anything else that properly describes the item itself. Price information or customer reviews are not essential right now, but building the scraper in a way that could be extended to capture those later would be appreciated. Your crawler should respect robots.txt, rotate proxies or user-agents as needed to avoid blocks, and export the results as either CSV or JSON; if you can offer both, even better. I’ll point you to the first two target sites once we start, then we can iterate quickly on additional domains that share a similar layout. Please use a well-maintained stack (Python with Scrapy, Playwright or Selenium, or a comparable solution you’re comfortable supporting). Code quality matters because I plan to reuse and expand it, so keep it modular, clearly commented and ready to run from the command line. Deliverables: • Fully functioning scraper scripts for the agreed sites • Sample output file showing at least 100 products per site • Brief README with setup steps and usage instructions I’m ready to begin as soon as I find the right fit and expect prompt communication on progress and any site-specific hurdles.