I need a dependable script that can pull detailed information from several e-commerce sites so I can carry out ongoing market research. The scraper must collect the essentials—product title, price, availability, SKU, product URL, category, and image link—then save everything in a structured CSV or JSON file I can drop straight into Excel or a database. Pagination, infinite-scroll pages, and any JavaScript-rendered content have to be handled automatically. Python with Scrapy, Selenium, or BeautifulSoup fits my workflow best, though I am open to Node.js with Puppeteer if that speeds development. Regardless of the stack, the code should be well commented and easy for me to tweak: a simple configuration or clearly marked selectors will let me add new target URLs without rewriting logic. Because I plan to run the scrape regularly, please build in sensible request delays, rotating user-agents or proxy support, and clear error handling so the script keeps working without triggering site blocks. Deliverables • Fully Excel File or CSV Sheet I will validate by running the script against two live e-commerce domains and comparing the output to what appears in the browser. Once the data is complete, fields are correctly populated, and the run finishes cleanly, the project is considered done.