Fuge.it Proxy

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 count the number of lost packets over UDP, you can use a combination of network monitoring tools and custom scripts. Here's a step-by-step guide to help you achieve this:

1. Install a network monitoring tool:

You can use a network monitoring tool like Wireshark, tcpdump, or ngrep to capture the UDP packets on your network. These tools allow you to analyze the packets and identify lost packets.

2. Capture UDP packets:

Use the network monitoring tool to capture the UDP packets on the interface where the communication is taking place. For example, if you're monitoring a local server, you might use tcpdump with the following command:

tcpdump -i eth0 udp and host 192.168.1.100

Replace eth0 with the appropriate interface name and 192.168.1.100 with the IP address of the server you're monitoring.

3. Analyze the captured packets:

Once you have captured the UDP packets, analyze them to identify the lost packets. You can do this by looking for the sequence numbers in the UDP packets. If the sequence number of a packet is not consecutive to the previous packet, it means the packet was lost.

4. Write a custom script:

You can write a custom script in a language like Python to parse the captured packets and count the lost packets. Here's an example of a simple Python script that counts lost packets:

import re

def count_lost_packets(packet_data):
    sequence_numbers = re.findall(r'UDP, src port \((\d+)\)', packet_data)
    lost_packets = 0

    for i in range(1, len(sequence_numbers)):
        if int(sequence_numbers[i]) != int(sequence_numbers[i - 1]) + 1:
            lost_packets += 1

    return lost_packets

# Read the captured packets from a file
with open('captured_packets.txt', 'r') as file:
    packet_data = file.read()

# Count the lost packets
lost_packets = count_lost_packets(packet_data)
print(f'Number of lost packets: {lost_packets}')

Replace 'captured_packets.txt' with the path to the file containing the captured packets.

5. Run the script:

Run the script to count the lost packets. The script will output the number of lost packets in the captured data.

To check the quality of a proxy server, you can use one of the proxy checkers. There are a lot of them on the Internet. For example, hidemy.name. On the page of the checker you need to specify the IP-address and port of the required proxy server.

Open "Options" and then, under "Network", click on "Network Proxy". Now enter in the appropriate fields the IP address of the proxy and its port, based on the type of your proxy: HTTP/HTTPS or SOCKS. In case you suddenly need authorization, enter the authorization data in the appropriate field of the IP address.

In Windows, proxy settings for local connections are made through the "Network and Sharing Center" (from the "Control Panel"). You need to select "Browser Properties", then go to "Connections" and click on "Network Setting". And there you can set either the script or the parameters for the proxy.