![]() ![]() Using our own custom websites avoids these risks, however, the skills learnt in these examples can certainly still be applied to live websites. Finally, the maintainers of a live website may not appreciate us using them to learn about web scraping and could try to block our scrapers. Once we start making our Python web scraper, we can also identify elements. Python is used for a number of things, from data analysis to server programming. It has a great package ecosystem, there's much less noise than you'll find in other languages, and it is super easy to use. Also, a custom website allows us to craft examples that illustrate specific skills and avoid distractions. Net Library for web scraping, web data extraction, and web content parsing. Python is a beautiful language to code in. This provides us stability -– live websites are updated more often than books, and by the time you try a scraping example, it may no longer work. We decided to build custom websites for many of the examples used in this tutorial instead of scraping live websites, so that we have full control over the web environment. 1.5 How does WebDriver Interact with Browser?. ![]()
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