eCommerce Product Data Scraping - MG

I need a clean, automated scraper that can pull reliable product information from the eCommerce site https://www.vernicispray.es/. The focus is strictly on each item’s descriptions, technical specifications, and images—no prices, ratings, or reviews are required.

Your script should:
• Navigate site categories or search results, respecting robots.txt and rate limits.
• Extract the full product title, all descriptive text, every specification field available, and link each product to its respective image without any editing.
• Export the data into a well-structured CSV or JSON file with clearly labeled columns/keys.
• Be easy for me to rerun by simply updating a list of URLs or category links.

I am comfortable with Python, so using libraries such as Requests, BeautifulSoup, Scrapy, or Playwright is ideal, but I’m open to your preferred tooling if it achieves the same accuracy and speed. Please include brief instructions and any setup requirements so I can reproduce the scrape locally.

To confirm everything works, I’ll run the script on a small sample list and compare the captured descriptions and spec tables against the live pages. If all fields match and the output file opens without errors, the job is complete.

Budget: €250 - €500 EUR
Deadline: 1 month