Scrape Dealer Data to Excel

I need every piece of information that appears for each authorised dealer on a single web page captured and organised in a clean Excel file. Because the list lives entirely on one public page and no login is required, the scrape should be straightforward—no pagination or authentication hurdles to work around.

Please pull every field that the site displays for a dealer (name, physical address, phone, email, website links, opening hours, or any other details that may be present) and place each data point in its own clearly labelled column. The final workbook should be delivered in .xlsx format and include one row per dealer.

You are free to use Python, BeautifulSoup, Scrapy, or another reliable scraping method—whatever lets you complete the job quickly and accurately—so long as the resulting sheet is complete and neatly structured.