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TeraCrawler
TeraCrawler

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Scraping Cars.com Product Details with Python and Beautiful Soup

Today we are going to see how we can scrape Cars.com product details using Python and BeautifulSoup in a simple and elegant manner.

The aim of this article is to get you started on a real-world problem solving while keeping it super simple so you get familiar and get practical results as fast as possible.

So the first thing we need is to make sure we have Python 3 installed. If not, you can just get Python 3 and get it installed before you proceed.

Then you can install beautiful soup with:

We will also need the libraries requests, lxml, and soupsieve to fetch data, break it down to XML, and to use CSS selectors. Install them using:

Once installed open an editor and type in:

Now let's go to the Cars.com product details listing page and inspect the data we can get.

This is how it looks:

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