Web scraping of a dynamic website using Python with HTTP Client

Dynamic websites that use JavaScript for content rendering and backend interaction often create challenges for web scraping. The traditional approach to solving this problem is browser emulation, but it's not very efficient in terms of resource consumption.

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In this article, we'll explore an alternative method based on in-depth site analysis and the use of an HTTP client. We'll go through the entire process from analyzing a dynamic website to implementing an efficient web crawler using the Crawlee for Python framework.

Our subject of study is the Accommodation for Students website. Using this example, we'll examine the specifics of analyzing sites built with the Next.js framework and implement a crawler capable of efficiently extracting data without using browser emulation.

To track all requests, open your Dev Tools and the network tab before entering the site. Some data may be transmitted only once the site is first opened.

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