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Gathering data from static websites is usually simple, but scraping data from dynamic websites can be challenging. Python is a popular choice for this task due to its many helpful libraries and extensive documentation.

This tutorial will guide you through the process of scraping dynamic websites. You'll learn how to use a browser to check if a website is dynamically rendered with JavaScript and locate AJAX calls that load additional data.

We recommend using a Chromium-based browser to spot dynamically rendered content. To scrape the data, combine Selenium (or Python’s Requests library) to make HTTP requests, and BeautifulSoup to parse the raw HTML. Once your web scraping script is ready, use a headless browser to speed up the process.

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Best Python Libraries for Web Scraping:
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⏳ *TIMESTAMPS*
0:00 Introduction
0:45 How to See if the Website is Dynamic
1:35 Can BeautifulSoup Render Javascript?
2:16 How to Scrape Data From a Dynamic Website
3:35 Finding Elements by Using Selenium
5:16 Finding Elements by Using BeautifulSoup
6:33 Python Scraping With a Headless Browser
7:05 Locating AJAX Calls
9:40 Data Embedding in Other Pages
11:11 Conclusion

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