I need a compact, AI-assisted web-scraping module that plugs straight into my existing stack and pulls live product information—specifically price and availability—from several retailer websites. The scraper should detect layout changes automatically, respect robots.txt where permitted, and expose a simple JSON or CSV feed so I can drop the data into my pricing engine without extra parsing. Python with Scrapy, Playwright, or a similar headless-browser approach is ideal, but I’m open to alternative tools if you can show they handle anti-bot measures reliably. Deliverables • Clean, well-commented source code for the scraper • A lightweight API or CLI wrapper that returns price and availability in structured form • Basic setup guide and a quick demo run showing data pulled from at least two live retailer pages Acceptance criteria – Accurate extraction of price and stock status on each test page – Resilience against minor HTML changes (CSS selectors or XPath shouldn’t break after small edits) – Runs on a standard Linux VPS without proprietary dependencies Once everything is verified in a short live session, we can wrap up.