DameTorrents Proxy

If you intend to use a proxy to work on the Internet, you should first of all clear your browser history. This way, you will get rid of the risk of being identified by past actions on the site. In case you are engaged in Internet promotion, it is also advisable to use proxy servers for this purpose, allowing you to enter different sites safely. This solution will allow you to avoid blocking promoted accounts.

The HTMLCleaner library is typically used for cleaning and transforming HTML documents, but it does not provide a direct API for parsing HTML. Instead, it's often used in conjunction with an HTML parser to clean and format the HTML content.

Here's an example using HTMLCleaner along with the Jsoup library, which is a popular HTML parser in Java

Add the HTMLCleaner and Jsoup dependencies to your project. You can use Maven or Gradle to include them.

For Maven:

    net.sourceforge.htmlcleaner
    htmlcleaner
    2.25



    org.jsoup
    jsoup
    1.14.3

For Gradle:

implementation 'net.sourceforge.htmlcleaner:htmlcleaner:2.25'
implementation 'org.jsoup:jsoup:1.14.3'

Use HTMLCleaner and Jsoup to parse and clean HTML:

import org.htmlcleaner.CleanerProperties;
import org.htmlcleaner.HtmlCleaner;
import org.htmlcleaner.TagNode;
import org.htmlcleaner.XPatherException;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;

public class HtmlParsingExample {
    public static void main(String[] args) {
        String htmlContent = "
Hello, world!
";

        // Parse HTML using Jsoup
        Document document = Jsoup.parse(htmlContent);

        // Clean the parsed HTML using HTMLCleaner
        TagNode tagNode = cleanHtml(document.outerHtml());

        // Perform additional operations with the cleaned HTML
        // For example, extracting text content using XPath
        try {
            Object[] result = tagNode.evaluateXPath("//body/p");
            if (result.length > 0) {
                TagNode paragraph = (TagNode) result[0];
                String textContent = paragraph.getText().toString();
                System.out.println("Text content: " + textContent);
            }
        } catch (XPatherException e) {
            e.printStackTrace();
        }
    }

    private static TagNode cleanHtml(String html) {
        HtmlCleaner cleaner = new HtmlCleaner();
        CleanerProperties properties = cleaner.getProperties();

        // Configure cleaner properties if needed
        properties.setOmitXmlDeclaration(true);

        try {
            return cleaner.clean(html);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
}

In this example, Jsoup is used for initial HTML parsing, and HTMLCleaner is used to clean the HTML. You can perform additional operations on the cleaned HTML, such as using XPath to extract specific elements.

Popup scraping typically involves interacting with web pages that have dynamic content, including popups or modals. To scrape data from popups, you may need to use a headless browser automation library. One popular choice is Selenium, which provides a WebDriver API for interacting with browsers.

Here's an example using Python and Selenium to scrape data from a webpage with a popup

Install Selenium:

pip install selenium

• Download WebDriver:

  • Download the WebDriver for the browser you want to use. In this example, I'll use ChromeDriver. Download it from ChromeDriver Downloads and place the executable in your project directory or in a directory listed in your system's PATH.

• Write the Scraping Code:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

def scrape_with_popup(url):
    # Set up the WebDriver (make sure the WebDriver executable is in the same directory or in your PATH)
    driver = webdriver.Chrome()

    try:
        # Open the webpage
        driver.get(url)

        # Locate and click the button/link that triggers the popup
        popup_trigger = driver.find_element(By.ID, 'popup-trigger')
        popup_trigger.click()

        # Wait for the popup to appear (adjust the timeout as needed)
        WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'popup-content')))

        # Extract data from the popup
        popup_content = driver.find_element(By.ID, 'popup-content').text
        print("Popup Content:", popup_content)

    finally:
        # Close the browser window
        driver.quit()

# Replace 'https://example.com' with the actual URL of the webpage
scrape_with_popup('https://example.com')

3. • Replace 'https://example.com' with the actual URL of the webpage you want to scrape.
   • Replace 'popup-trigger' and 'popup-content' with the actual IDs or other locators of the elements triggering the popup and the popup content.

4. Run the Code:

   • Execute the Python script, and it will open a browser, interact with the webpage, and print the content of the popup.

This example assumes that the webpage you are working with uses a trigger element (button/link) to open the popup.

VPN allows you to hide your real IP address, as well as further encrypt your traffic. VPN is also actively used for address spoofing. For example, the user is in the Russian Federation, but by connecting through a VPN server, the site "thinks" that the user is from the United States.

You need to go to "Settings", under "Sharing" select "VPN". And there you can either enter the connection parameters manually (address, port number, username and password), or choose a program that automatically connects the user to the proxy (free applications of this type can be found in Google Play).