Ecommerce Scraping Tool Build

I need a small, reliable scraper that targets ecommerce sites and captures two main kinds of data for me: product information and any publicly visible contact details. On the product side the script must pull price, description and current availability for every item it touches.

The tool has to work across multiple ecommerce domains (I will provide the list), navigate pagination or category trees automatically, and export clean results to either CSV or JSON—whichever is easier for you to keep tidy. I should be able to point it at a new store, set a frequency (daily, weekly, on-demand) and let it run without babysitting, so please build in user-editable settings for URLs, scheduling and output path.

Rate-limiting, proxy rotation and a user-agent pool are essential so that the crawler stays below the radar and finishes its job even on sites with basic anti-bot measures. Ideally the script will be written in Python using libraries you are comfortable maintaining (requests, BeautifulSoup, Scrapy, Playwright, or similar). I am open to other stacks if you can make a strong case.

Deliverable:
• Fully-commented source code
• Simple config file or UI for target URLs and schedule
• Sample output file showing the required fields
• A short readme so I can run it on my own machine or a small VPS

I am ready to get started as soon as you can show me a quick outline of your approach and timeline.