Dynamic Web Pages Scraping with Python: Guide to Scrape All Content
<p>Have you gotten poor results while scraping dynamic web page content? It’s not just you. Crawling dynamic data is a challenging undertaking (to say the least) for standard scrapers. That’s because JavaScript runs in the background when an HTTP request is made.</p>
<p>Scraping dynamic websites requires rendering the entire page in a browser and extracting the target information.</p>
<p>Join us in this step-by-step tutorial to learn all you need about dynamic web scraping with Python — the dos and don’ts, the challenges and solutions, and everything in between.</p>
<p>Let’s dive right in!</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:450/1*HFi-tWIsXIHqoQy63IjjnA.jpeg" style="height:281px; width:500px" /></p>
<h1>What Is a Dynamic Website?</h1>
<p><strong>A dynamic website is one that doesn’t have all its content directly in its static HTML.</strong> It uses server-side or client-side to display data, sometimes based on the user’s actions (e.g., clicking, scrolling, etc.).</p>
<p>Put simply, these websites display different content or layout with every server request. This helps with loading time as there’s no need to reload the same information each time the user wants to view “new” content.</p>
<p>How to identify them? One way is by <strong>disabling JavaScript in the command palette on your browser</strong>. If the website is dynamic, the content will disappear.</p>
<p><a href="https://medium.com/@zenrows/dynamic-web-pages-scraping-python-46d001a9014b">Website</a></p>