I need a small, tidy Python script that can visit a set of e-commerce product pages and pull structured product details (titles, specifications, images, SKUs—no prices or reviews for now). Once scraped, the script should save the data to a clean CSV or JSON file and run a quick exploratory summary: basic counts, category distribution, and any obvious gaps or duplicates you spot. I already have a shortlist of target URLs and will share them, along with a sample of the fields I expect, as soon as we agree to proceed. Feel free to lean on Requests/BeautifulSoup or Scrapy if you prefer; Pandas for the mini-analysis is fine. The code should be Python 3, commented clearly enough that I can extend it later. Deliverables: • Python source file(s) • Output data file (CSV or JSON) using my sample URLs • Short analytical summary (can be a Jupyter notebook or plain-text report) I’ll run the script on my own machine, so please include a simple requirements.txt and any setup notes. Looking forward to working with someone who enjoys clean, readable code and quick insights from raw web data.