SoapUI Proxy

A DNS server is a remote computer that receives a domain request from a user device. And it converts it into an IP address. Sometimes it is through the DNS-server that ISPs block sites. And DNS-proxy, respectively, allows you to bypass these restrictions completely.

A VPN server address is an IP address or domain name through which you access the Internet. All traffic will be redirected through it. And the address is specified by the user, you can get it directly from the VPN-service, which provides such a service.

To quickly scrape a large number of sites using Node.js, you can leverage asynchronous programming and utilize libraries like axios for making HTTP requests and cheerio for parsing HTML. Additionally, you may consider using the p-queue library to manage the concurrency and control the rate of requests. Here's a basic example to get you started

Install Required Packages:

npm install axios cheerio p-queue

Create a Scraper Script:

const axios = require('axios');
const cheerio = require('cheerio');
const PQueue = require('p-queue');

// List of sites to scrape
const sites = [
  'https://example1.com',
  'https://example2.com',
  // Add more URLs as needed
];

// Set the concurrency level (adjust as needed)
const concurrency = 5;

// Initialize a queue with concurrency control
const queue = new PQueue({ concurrency });

// Function to scrape a single site
async function scrapeSite(url) {
  try {
    const response = await axios.get(url);
    const $ = cheerio.load(response.data);

    // Use Cheerio to parse and extract data
    const title = $('title').text();
    console.log(`Scraped ${url} - Title: ${title}`);
  } catch (error) {
    console.error(`Error scraping ${url}: ${error.message}`);
  }
}

// Enqueue scraping tasks for each site
sites.forEach((site) => {
  queue.add(() => scrapeSite(site));
});

// Wait for all tasks to complete
queue.onIdle().then(() => {
  console.log('All scraping tasks completed.');
});

This example uses axios for making HTTP requests, cheerio for HTML parsing, and p-queue for controlling concurrency.

Run the Script:

node your_scraper_script.js

Adjust the sites array with the URLs you want to scrape.

This example uses a simple queue system to control the number of concurrent requests, preventing potential issues with rate limiting or overwhelming the target websites. However, be mindful of the websites' terms of service and robots.txt rules to avoid scraping restrictions.

To realize receiving and transmitting UDP packets in different threads for parallel work in Java, you can use the DatagramSocket class along with the Thread class to create separate threads for receiving and transmitting. Here's an example of a simple UDP server that handles receiving and transmitting in different threads:

import java.net.*;
import java.io.*;

public class ParallelUDPServer {
    private static final int PORT = 12345;

    public static void main(String[] args) throws IOException {
        // Create a DatagramSocket for receiving UDP packets
        DatagramSocket receiveSocket = new DatagramSocket(PORT);

        // Create a thread for receiving UDP packets
        Thread receiveThread = new Thread(() -> {
            byte[] receiveBuffer = new byte[1024];
            while (true) {
                DatagramPacket receivePacket = new DatagramPacket(receiveBuffer, receiveBuffer.length);
                try {
                    receiveSocket.receive(receivePacket);
                    processReceivePacket(receivePacket);
                } catch (IOException e) {
                    e.printStackTrace();
                }
            }
        });

        // Create a thread for transmitting UDP packets
        Thread transmitThread = new Thread(() -> {
            while (true) {
                // Simulate sending UDP packets to a client
                sendUDPPacket("Hello from the server!", "127.0.0.1", 6789);
                try {
                    Thread.sleep(5000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        });

        // Start the threads
        receiveThread.start();
        transmitThread.start();
    }

    private static void processReceivePacket(DatagramPacket packet) {
        byte[] data = packet.getData();
        int length = packet.getLength();
        InetAddress address = packet.getAddress();
        int port = packet.getPort();

        System.out.println("Received packet:");
        for (int i = 0; i < length; i++) {
            System.out.print(data[i] + " ");
        }
        System.out.println();
        System.out.println("From: " + address + ":" + port);
    }

    private static void sendUDPPacket(String message, String host, int port) throws IOException {
        byte[] sendData = message.getBytes();
        DatagramPacket sendPacket = new DatagramPacket(sendData, sendData.length, InetAddress.getByName(host), port);
        DatagramSocket socket = new DatagramSocket();
        socket.send(sendPacket);
        socket.close();
    }
}

In this example, the ParallelUDPServer class creates two threads: one for receiving UDP packets (receiveThread) and another for transmitting UDP packets (transmitThread).

To disable a proxy-server in Yandex browser, you need to do the following steps:

Open the browser. Click on the icon "?" in the upper right corner. Go to "Settings". Type "proxy" in the search box. Click on "Proxy settings". In the tab that opens, select "Network settings". Disable the "Use proxy server" option.