One-Time Web Data Extraction

I need the entire contents of a specific website captured in a single pass. That means every piece of on-page text, all publicly visible image files, and every internal or external hyperlink. Once scraped, the information should be organised into a clean CSV file—one row per page—with columns for page URL, full body text, image file names, and link destinations.

Please download the images themselves as well and bundle them in a separate folder (a simple ZIP is fine); the CSV should reference the exact filenames so everything lines up.

I’m happy for you to use Python with BeautifulSoup, Scrapy, Selenium or whichever stack you prefer, as long as the final output meets these acceptance criteria:

• Complete CSV containing text, image names, and link URLs for each page
• All images successfully downloaded and accessible via the filenames listed in the CSV
• No duplicates or missing pages from the target site
* Images need to be sorted for each listing. Ideally they will be renamed with the model number. I need to be able to download the entire folder of images.
* The data and images need to be organized by cutting board style, for easy organization. Make sure I can easily identify the style of cutting board when you sort the data.


the website is wholesalecuttingboards.com I do not have a total count.



Need the following information:
Title
Model #
Dimensions
Full Description
Features
Price

I am only interested in cutting boards.

Because this is a one-off extraction, there’s no scheduling or cron element to worry about—just deliver the finished dataset and I’ll handle the rest.