Web Scrape Car Data Excel

I need every piece of information that appears for each vehicle on
https://www.br-performance.be/en-be/chiptuning/1-cars/
collected and delivered in a single Excel workbook. That means the scraper must visit the main listing as well as the individual pages that open when a model is clicked.
But not every Brands, only 19 Brands

For every car you find, capture:
• the model name (this will be the primary key)
• all performance figures that are displayed (stock vs. tuned horsepower, torque, percentage gains, etc.)
• every price shown (stage prices, options, extras)
• any other data points that appear in the same blocks of information for that model—if it is visible to a user, I want it in the sheet.

Organisation: one row per car model, with clean, clearly-labelled columns. A standard tabular layout is fine; no special template is required beyond what you see in the small example I have already shared.

I wrote an example and explanation and have the excel example sheet ready

The final deliverable is:
1. An .xlsx file containing the full dataset, ordered by model name.
2. The script or method you used (Python + BeautifulSoup/Scrapy, Power Query, etc.) so I can rerun it if the site updates.

I’ll review by doing a random spot-check against the live site; every sampled figure must match what is currently displayed. If anything is missing or mis-aligned in Excel, I’ll return it for correction.

Please include a short note on your chosen scraping approach and an estimated turnaround time when you reply.