Proxy Siste

You can check the validity of proxies by using special software and a proxy checker. These tools not only check if the proxy is working, but also inform you about possible blocking by various platforms and social networks. Online services (checkers) also provide information related to ping, speed, proxy anonymity level, and geo. The combination of all these data allows for the most objective assessment of a proxy server's performance.

If you are parsing a site using JSoup in a Java application and you want to introduce a delay between requests to avoid being blocked or rate-limited by the website, you can use Thread.sleep to pause the execution for a specified duration. Here's a basic example

First, make sure you have the JSoup library included in your project. If you're using Maven, you can add the following dependency to your pom.xml:

    org.jsoup
    jsoup
    1.14.3 

Now, here's an example Java program using JSoup with a delay between requests:

import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;

import java.io.IOException;

public class WebScraperWithDelay {

    public static void main(String[] args) {
        // Replace with the URL you want to scrape
        String url = "https://example.com";
        
        // Number of milliseconds to wait between requests
        long delayMillis = 2000; // 2 seconds
        
        try {
            for (int i = 0; i < 5; i++) {
                // Make the HTTP request using JSoup
                Document document = Jsoup.connect(url).get();

                // Process the document as needed
                System.out.println("Title: " + document.title());

                // Introduce a delay between requests
                Thread.sleep(delayMillis);
            }
        } catch (IOException | InterruptedException e) {
            e.printStackTrace();
        }
    }
}

In this example:

1. Jsoup.connect(url).get() is used to make an HTTP request and retrieve the HTML document from the specified URL.
2. Thread.sleep(delayMillis) introduces a delay of 2 seconds between requests. You can adjust the value of delayMillis based on your needs.

To implement a constant scraping process, you can use a combination of a loop and a delay to periodically scrape data from a website. This process is often referred to as "web scraping with intervals" or "periodic scraping." Here's an example using Node.js and the axios library for making HTTP requests

Install Dependencies

Install the required npm packages:

npm install axios

Write the Scraping Script

Create a Node.js script (e.g., constant_scraping.js) with the following code:

const axios = require('axios');

async function scrapeData() {
    try {
        // Replace with your scraping logic
        const response = await axios.get('https://example.com'); // Replace with the URL you want to scrape
        console.log('Scraped data:', response.data);

        // Add additional scraping logic as needed
        // ...

    } catch (error) {
        console.error('Error during scraping:', error.message);
    }
}

// Function to perform constant scraping with a specified interval
async function constantScraping(interval) {
    while (true) {
        await scrapeData();
        await sleep(interval); // Sleep for the specified interval before the next scrape
    }
}

// Function to introduce a delay using setTimeout
function sleep(ms) {
    return new Promise(resolve => setTimeout(resolve, ms));
}

// Set the interval (in milliseconds) for constant scraping
const scrapingInterval = 60000; // 60 seconds

// Start the constant scraping process
constantScraping(scrapingInterval);

Replace 'https://example.com' with the URL you want to scrape.

Adjust the scraping logic within the scrapeData function to meet your specific requirements.

Run the Script:

Run the script using Node.js:

node constant_scraping.js

This script defines a constantScraping function that continuously calls the scrapeData function at a specified interval using a loop and the sleep function. Adjust the interval (scrapingInterval) based on your scraping needs.

Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.

Proxy "tunneling" should be understood as the isolation of traffic from the user. It allows you to form a fully protected channel for data exchange, which will be isolated from all other traffic.