Python Product Scraping Automation

I need a clean, well-documented Python script that automatically scrapes product information from a set of e-commerce pages I will provide (think titles, prices, images, availability, and SKU). The aim is to eliminate manual copy-and-paste work and feed a regularly updated CSV or JSON file into my existing inventory system. The script must: • Navigate each product URL, handle pagination where it exists, and collect the required fields. • Respect polite scraping practices with configurable delays and user-agent rotation. • Save output in both CSV and JSON formats, ready to import. • Run headless from the command line on Windows or Linux; no GUI needed. I am comfortable if you use popular libraries such as Requests, BeautifulSoup, Selenium, or Scrapy—whichever delivers the most reliable result for dynamic as well as static pages. Please keep the code modular so I can point it to new domains later with minimal edits. On delivery I will test the script against ten sample URLs. Acceptance is complete once all requested fields appear correctly in the output file and no site defenses are triggered. Let me know your preferred approach and timeframe, and we can get started right away.

Project ID: 39720393