Bypassing anti-bot measures is a significant challenge for web scrapers. Various solutions exist, but they often come at a high cost. Open-source tools can provide a more affordable alternative, particularly for bypassing the Kasada anti-bot system, which is commonly used by websites like Canada Goose. Detection can start with identifying the technology stack via tools like Wappalyzer. A typical Kasada site will return a 429 error before loading correctly, confirmed by specific access control headers. Generating a valid token is essential, but more understanding of the underlying mechanisms can enhance success in scraping efforts.
The easiest way to detect when a website is using Kasada is by asking it for Wappalyzer, which has a browser extension you can use while visiting a website to detect its tech stack.
If you notice that the website first returns a 429 error and then loads correctly, this is the typical behavior of a Kasada-protected website.
This is also confirmed by the presence of specific access control headers: x-kpsdk-ct, x-kpsdk-r, and x-kpsdk-c as well as the x-kpsdk-ct token.
Calculating the token is not enough; understanding the mechanism behind it is crucial to effectively bypass the anti-bot measures of solutions like Kasada.
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