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HomeWeb Front-endJS TutorialHow Can I Scrape Dynamic Web Content Using Node.js and PhantomJS?

How Can I Scrape Dynamic Web Content Using Node.js and PhantomJS?

Scraping Dynamic Content with Node.js: A Detailed Guide

In the realm of web scraping, dynamic content presents a significant challenge, as these elements do not exist in the initial HTML response but are loaded asynchronously. To overcome this obstacle, we turn to programmatic solutions that render the page and retrieve the desired content.

In this case, we have a website featuring a list of elements that are loaded dynamically into an empty

    tag. Using Cheerio, our initial attempt failed to retrieve these elements since they were not present in the initial HTML response.

    The Power of PhantomJS

    To tackle this challenge, we employ PhantomJS, a headless browser that we can programmatically control. By incorporating PhantomJS into our code, we can execute JavaScript on the page and wait for the dynamic content to load before scraping it using Cheerio.

    Code Walkthrough

    Here's an improved code snippet that incorporates PhantomJS:

var phantom = require('phantom');

phantom.create(function (ph) {
  ph.createPage(function (page) {
    var url = "http://www.bdtong.co.kr/index.php?c_category=C02";
    page.open(url, function() {
      page.includeJs("http://ajax.googleapis.com/ajax/libs/jquery/1.6.1/jquery.min.js", function() {
        page.evaluate(function() {
          $('.listMain > li').each(function () {
            console.log($(this).find('a').attr('href'));
          });
        }, function(){
          ph.exit()
        });
      });
    });
  });
});

This code initializes PhantomJS, creates a page, opens the target URL, includes the jQuery library to manipulate the page's content, and executes a JavaScript function to extract the desired elements. Upon completion, PhantomJS exits.

Conclusion

By leveraging the power of PhantomJS and incorporating it into our scraping code, we can now effortlessly retrieve dynamic content from websites. This powerful approach enables us to tackle a wide variety of web scraping challenges with increased accuracy and efficiency.

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