• General Web Scraping

  How to scrape team merchandise prices from Fanatics.com using Java?

  Posted by Niketa Ellen on 12/21/2024 at 6:23 am

  Scraping team merchandise prices from Fanatics.com using Java is an excellent way to collect data on team apparel, accessories, and collectibles. Fanatics is a major retailer for licensed sports merchandise, and collecting such data can provide insights into pricing trends, seasonal discounts, and inventory. Using Java’s HTTP libraries and HTML parsing tools, you can efficiently extract information from product listings on their website. The first step is to inspect the HTML structure of Fanatics.com and identify the tags or classes that contain product details such as names, prices, and availability. Sending an HTTP GET request to fetch the web page content allows you to parse the data and retrieve the relevant information.
  To scrape data across multiple product pages, implementing pagination logic ensures a comprehensive dataset. Java libraries like jsoup are particularly useful for parsing HTML content, as they allow you to traverse the DOM structure easily. Adding random delays between requests mimics human browsing behavior, reducing the likelihood of detection. Once collected, storing the scraped data in structured formats like JSON or CSV ensures ease of analysis and further use. Below is an example script for extracting product details from Fanatics.com using Java.

  import org.jsoup.Jsoup;
  import org.jsoup.nodes.Document;
  import org.jsoup.nodes.Element;
  import org.jsoup.select.Elements;
  public class FanaticsScraper {
      public static void main(String[] args) {
          try {
              String url = "https://www.fanatics.com/";
              Document doc = Jsoup.connect(url).userAgent("Mozilla/5.0").get();
              Elements products = doc.select(".product-card");
              for (Element product : products) {
                  String name = product.select(".product-name").text();
                  String price = product.select(".price").text();
                  System.out.println("Product: " + name + ", Price: " + price);
              }
          } catch (Exception e) {
              e.printStackTrace();
          }
      }
  }
  

  This script collects product names and prices from Fanatics.com. Pagination handling can be added to scrape additional pages, ensuring that no product is missed. Random delays and rotating user-agents reduce the likelihood of being detected by anti-scraping systems.

  Niketa Ellen replied 1 day, 7 hours ago 1 Member · 0 Replies
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