How To Scrape Dynamic Websites With Selenium Python

Watch this Python tutorial, and scrape dynamic websites with Selenium Python. Follow our step-by-step scraping guide as we explain the code in detail. You’ll learn how to integrate proxies and what other tools you need to tackle dynamic content.

So get ready to scrape websites and export the result in JSON!

💻 By the end of this tutorial, you'll be equipped with the knowledge and skills to scrape dynamic content from any website using Selenium and Python. Don't miss out on enhancing your web scraping capabilities – hit play now and level up your coding game!

👍 If you find this tutorial helpful, please give it a thumbs up, subscribe for more content, and let us know in the comments what you want to see next.

❓ *Why web scrape with Selenium Python?*
Selenium's ability to interact with JavaScript websites, combined with Python, provides a powerful option for web scraping. Selenium automates the browser, simulates user actions, and extracts data from dynamically generated websites.

❓ *What is dynamic content?*
Dynamic content is the website elements that change after the initial page load. Unlike static content, which remains constant, dynamic content is usually loaded dynamically through JavaScript. The feed you see depends on your search history, geo-location, cookies, and other browser fingerprint features. Some examples of dynamic content include real-time stock prices, social media feeds, or interactive forms that update without a page refresh.

[SuperGuaba]

Im getting this error: 'Proxy' object has no attribute 'add_to_capabilities'

[weeviloerlord]

There's some useful stuff, but because you didn't share a code so I can spend time looking at and understanding your code, it feels more like a sales pitch for your proxy service dressed up as a code scraping help tutorial. But well done on good SEO, anyway.