I need a small, reliable Python utility that pulls customer feedback from Amazon clothing listings. For every product URL or ASIN I feed in, the script should step through at least eight full pages of reviews and capture three fields—reviewer name, star rating, and the full review text—then save everything in a clean CSV (JSON as an optional second format is welcome). You are free to choose the most effective approach (requests + BeautifulSoup, Selenium, Scrapy, or another method) so long as it runs head-less and can be executed from the command line on a standard Windows or Linux environment. Please keep the code readable and comment the key steps so I can tweak things later if needed. Deliverables • Well-documented .py file(s) ready to run • Sample output file showing the three requested columns • Short README explaining any dependencies and how to set up and execute the scraper I’ll test by pointing the script at a few live clothing product pages and confirming that it retrieves reviewer names, ratings, and texts from at least eight review pages without errors or obvious omissions.