HTTPS SSL Proxy Server

Free proxies, while seemingly profitable and attractive, are actually not very effective. They cannot boast of security, speed, stability and acceptable duration of work. Qualitative and reliable proxies require a certain investment, but they can be obtained from companies that have a good reputation as proxy service providers. You can also find out about all the nuances of proxy selection with the help of special proxy databases.

A VPN on your phone lets you protect your privacy when you connect to public WiFi hotspots. You can also use it to hide your real location, connect to blocked sites and applications. There are many ways to use VPN.

To simulate a click during scraping, you can use a headless browser automation library like Puppeteer for Node.js. Puppeteer provides a high-level API to control headless browsers, allowing you to automate tasks such as clicking on elements, filling out forms, and navigating through pages.

Here's a basic example of how you can use Puppeteer to simulate a click:

1. Install Puppeteer:

   • Install Puppeteer using npm:

npm install puppeteer

Write the Scraping Script:

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

const puppeteer = require('puppeteer');

async function scrapeWithClick() {
    const browser = await puppeteer.launch();
    const page = await browser.newPage();

    try {
        // Navigate to the target URL
        await page.goto('https://example.com');

        // Wait for a specific selector to appear (replace with the selector of the element you want to click)
        const elementSelector = 'button#exampleButton';
        await page.waitForSelector(elementSelector);

        // Simulate a click on the specified element
        await page.click(elementSelector);

        // Wait for the page to settle (replace with additional logic if needed)
        await page.waitForTimeout(2000);

        // Extract and print information after the click
        const extractedInfo = await page.evaluate(() => {
            // Replace this with your logic to extract information from the clicked page
            return document.title;
        });

        console.log('Extracted information after click:', extractedInfo);
    } catch (error) {
        console.error('Error during scraping:', error);
    } finally {
        // Close the browser
        await browser.close();
    }
}

// Run the scraping script
scrapeWithClick();

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

  • Replace 'button#exampleButton' with the selector of the element you want to click.

• Run the Script:

  • Run the script using Node.js:

node scrape_with_click.js

This script uses Puppeteer to launch a headless browser, navigate to a specified URL, wait for a specific element to appear, simulate a click on that element, and then perform additional actions or extractions as needed.

Make sure to handle errors and adjust the script based on the structure of the website you are scraping.

Sending large files over UDP can be a bit tricky because UDP does not guarantee delivery, order, or even that packets won't be duplicated. However, it is possible to send large files using UDP by breaking the file into smaller chunks and sending each chunk separately. Here's a step-by-step guide on how to do it in Python:

1. Import necessary libraries:

import os
import socket
import pickle

2. Define a function to serialize the file data:

def serialize_file_data(file_data):
    return pickle.dumps(file_data)

3. Create a UDP socket:

def create_udp_socket(host, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    sock.bind((host, port))
    return sock

4. Send the file data over UDP:

def send_file(sock, file_data, host, port):
    serialized_file_data = serialize_file_data(file_data)
    sock.sendto(serialized_file_data, (host, port))

5. Define a function to deserialize the file data:

def deserialize_file_data(file_data):
    return pickle.loads(file_data)

6. Create a function to receive the file data:

def receive_file(sock, host, port):
    while True:
        data, addr = sock.recvfrom(4096)
        file_data = deserialize_file_data(data)
        yield file_data

7. Putting it all together:

if __name__ == "__main__":
    file_path = "large_file.txt"
    host, port = "127.0.0.1", 12345
    sock = create_udp_socket(host, port)
    send_file(sock, file_path, host, port)

On the receiving side, you will need to collect all the received file data and save it to a file.

In data centers, proxies are used to provide IP to virtual servers. After all, one server there can be used by a dozen users at the same time. And each needs to be allocated its own IP and port. All this is done through proxies.