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Table of Contents
Use browser developer tools to view requests
Simulate browser operations with Selenium
Some websites limit crawling behavior
Home Backend Development Python Tutorial Python web scraping dynamic content

Python web scraping dynamic content

Jul 10, 2025 pm 12:18 PM
php java

Dynamic web crawling can be achieved through an analysis interface or a simulated browser. 1. Use browser developer tools to view XHR/Fetch requests in the Network, find the interface that returns JSON data, and use requests to get it; 2. If the page is rendered by the front-end framework and has no independent interface, you can start the browser with Selenium and wait for the elements to be loaded and extracted; 3. In the face of the anti-crawling mechanism, headers should be added, frequency control, proxy IP should be used, and verification codes or JS rendering detection should be carried out according to the situation. Mastering these methods can effectively deal with most dynamic web crawling scenarios.

Python web scraping dynamic content

Web crawling of dynamic content is indeed more complicated than static pages, but as long as you master the methods, it is actually not difficult. The core is to figure out how the data is loaded and then find the right way to get it.

Python web scraping dynamic content

Use browser developer tools to view requests

Many dynamic contents are obtained from the backend through AJAX or Fetch requests. At this time, you open the browser's "Developer Tools" (F12), switch to the Network tab, refresh the page, and see if there are any XHR or Fetch type requests.

Usually these requests return JSON data, with clear structure and easier to parse than HTML. You can directly copy the URL of this request and call it in Python using requests to get the desired data.

Python web scraping dynamic content

For example:

  • Open a product details page
  • Find requests like /api/product/details in the Network panel
  • Check whether its response content is the data you want
  • If so, record the interface address and request parameters

This way you don't need to deal with the HTML structure of the entire web page.

Python web scraping dynamic content

Simulate browser operations with Selenium

If the website uses complex front-end frameworks (such as Vue, React) and the data is not loaded through independent interfaces, then you cannot just rely on the analysis interface to obtain the data. You can use Selenium at this time.

Selenium can simulate the behavior of a real browser and extract content after the page is fully loaded. Common practices are:

  • Install Selenium and WebDriver for the corresponding browser
  • Start the browser and access the destination URL
  • Wait for a specific element to load (WebDriverWait is recommended)
  • Use find_element or find_elements to extract data

It should be noted that Selenium is heavier, slower and has a high resource utilization. If it is not particularly necessary, try to give priority to the interface method.


Some websites limit crawling behavior

Many websites now have anti-crawling mechanisms, such as detecting frequent requests, verifying whether they are real browsers, or even IP bans.

There are a few things you can do at this time:

  • Add headers to the request to imitate browser access
  • Control the frequency of requests, don't send requests in a crazy way
  • Use proxy IP rotation to avoid blocking of single IP
  • If the page has a verification code, it may be necessary to combine it with a coding platform or manual intervention

In addition, some websites have high requirements for JavaScript rendering, and Selenium may also be recognized as an automated script. At this time, you can consider Puppeteer's Python version pyppeteer, or find out if there are any startup parameters that can bypass the detection.


Basically these ideas. The key is to judge how the content of the target website is loaded, and then choose the right tool to deal with it. Not complicated, but details are easy to ignore.

The above is the detailed content of Python web scraping dynamic content. For more information, please follow other related articles on the PHP Chinese website!

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