I need a short Python script that visits a set of e-commerce product pages, downloads exactly one image per item, and captures two dynamic data points. One of those fields is the Product ID; the second can be passed as a parameter in the code so I can switch it out easily for future runs. The scraper must • handle client-side rendering or lazy-loaded content without missing anything, • save the image files into a neatly named folder structure, and • write the collected data—image filename, Product ID, and the additional field—into a clean, comma-separated CSV. Please keep the code modular and well-commented so I can reuse it on other e-commerce domains later. Stability, zero-error output, and readable structure are critical; I will run automated checks on the CSV and a quick visual spot-check of the images to confirm success.