IP | Country | PORT | ADDED |
---|---|---|---|
158.255.77.169 | ae | 80 | 14 minutes ago |
190.58.248.86 | tt | 80 | 14 minutes ago |
95.66.138.21 | ru | 8880 | 14 minutes ago |
123.30.154.171 | vn | 7777 | 14 minutes ago |
122.116.125.115 | 8888 | 14 minutes ago | |
81.169.213.169 | de | 8888 | 14 minutes ago |
79.110.200.27 | pl | 8000 | 14 minutes ago |
158.255.77.168 | ae | 80 | 14 minutes ago |
51.75.126.150 | fr | 8177 | 14 minutes ago |
158.255.77.166 | ae | 80 | 14 minutes ago |
213.143.113.82 | at | 80 | 14 minutes ago |
115.127.31.66 | bd | 8080 | 14 minutes ago |
192.111.134.10 | ca | 4145 | 14 minutes ago |
183.247.199.51 | cn | 30001 | 14 minutes ago |
103.63.190.72 | kh | 8080 | 14 minutes ago |
72.195.101.99 | us | 4145 | 14 minutes ago |
103.118.46.176 | kh | 8080 | 14 minutes ago |
72.195.34.59 | us | 4145 | 14 minutes ago |
203.95.199.159 | kh | 8080 | 14 minutes ago |
51.210.111.216 | fr | 11926 | 14 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
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Any programming language: Python, JavaScript, PHP, Java, and more.
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Telegram is a popular messenger, the activity of which is prohibited in some countries. It is possible to bypass the blocking with the help of anonymous proxy-servers working on the SOCKS5 protocol. They redirect traffic from Telegram to third-party IP addresses from other countries. Proxy servers guarantee the anonymity of correspondence, allow you to create chatbots, promote several accounts simultaneously, which will not be afraid of blocking.
There are 2 ways to do this. The first is to manually change the settings in /etc/environment, but you will definitely need root access to do that. You can also use the Network Manager utility (compatible with all common DEs). You just have to make sure beforehand that the driver for the network adapter to work properly is installed on the system.
To organize multi-threaded scraping through a proxy in C#, you can use the HttpClient class along with tasks and threads. Additionally, you may use proxy rotation to avoid rate limiting and bans. Here's a basic example to get you started:
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
// List of proxy URLs
List proxyList = new List
{
"http://proxy1.com:8080",
"http://proxy2.com:8080",
// Add more proxies as needed
};
// Create HttpClient instances with a different proxy for each thread
List httpClients = CreateHttpClients(proxyList);
// List of URLs to scrape
List urlsToScrape = new List
{
"https://example.com/page1",
"https://example.com/page2",
// Add more URLs as needed
};
// Create tasks for each URL
List tasks = new List();
foreach (string url in urlsToScrape)
{
tasks.Add(Task.Run(() => ScrapeUrl(url, httpClients)));
}
// Wait for all tasks to complete
await Task.WhenAll(tasks);
// Dispose of HttpClient instances
foreach (HttpClient client in httpClients)
{
client.Dispose();
}
}
static List CreateHttpClients(List proxies)
{
List clients = new List();
foreach (string proxy in proxies)
{
var httpClientHandler = new HttpClientHandler
{
Proxy = new WebProxy(proxy),
UseProxy = true,
};
clients.Add(new HttpClient(httpClientHandler));
}
return clients;
}
static async Task ScrapeUrl(string url, List httpClients)
{
// Select a random proxy for this request
var random = new Random();
var httpClient = httpClients[random.Next(httpClients.Count)];
try
{
// Make the request using the selected proxy
HttpResponseMessage response = await httpClient.GetAsync(url);
// Check if the request was successful
if (response.IsSuccessStatusCode)
{
string content = await response.Content.ReadAsStringAsync();
// Process the content as needed
Console.WriteLine($"Scraped {url}: {content.Length} characters");
}
else
{
Console.WriteLine($"Failed to scrape {url}. Status code: {response.StatusCode}");
}
}
catch (Exception ex)
{
Console.WriteLine($"Error scraping {url}: {ex.Message}");
}
}
}
In this example:
The CreateHttpClients function creates a list of HttpClient instances, each configured with a different proxy from the provided list.
The ScrapeUrl function performs the actual scraping for a given URL using a randomly selected proxy.
The Main method creates tasks for each URL to be scraped and waits for all tasks to complete.
If your Java UDP server does not accept more than one packet, there might be an issue with the way you are handling incoming packets or with the network configuration. To troubleshoot and resolve this issue, you can follow these steps:
1. Check your server code to ensure that it is correctly handling incoming packets. Make sure you are not accidentally discarding or overwriting packets.
2. Verify that there are no firewalls or network configurations blocking the UDP packets. UDP is a connectionless protocol, and packets may be dropped by firewalls or routers if they are not allowed.
3. Ensure that the client is sending packets correctly. Check if the client is using the correct IP address and port number for the server, and that it is not sending packets too quickly, causing them to be dropped or lost.
4. Increase the buffer size of the UDP socket in your server code. By default, the buffer size is often too small to handle multiple packets efficiently. You can increase the buffer size by using the setSoTimeout() method on the DatagramSocket object. For example:
DatagramSocket serverSocket = new DatagramSocket(port);
serverSocket.setSoTimeout(timeout); // Set a timeout value in milliseconds
5. Implement a multithreaded or asynchronous server to handle multiple incoming packets simultaneously. This will allow your server to accept and process multiple packets at the same time. Here's an example of a multithreaded UDP server in Java:
import java.net.*;
import java.io.*;
public class MultithreadedUDPServer {
public static void main(String[] args) throws IOException {
int port = 12345;
DatagramSocket serverSocket = new DatagramSocket(port);
while (true) {
byte[] receiveBuffer = new byte[1024];
DatagramPacket receivePacket = new DatagramPacket(receiveBuffer, receiveBuffer.length);
serverSocket.receive(receivePacket);
handlePacket(receivePacket, serverSocket);
}
}
private static void handlePacket(DatagramPacket receivePacket, DatagramSocket serverSocket) throws IOException {
byte[] sendBuffer = new byte[1024];
InetAddress clientAddress = receivePacket.getAddress();
int clientPort = receivePacket.getPort();
int packetLength = receivePacket.getLength();
System.arraycopy(receiveBuffer, 0, sendBuffer, 0, packetLength);
DatagramPacket sendPacket = new DatagramPacket(sendBuffer, packetLength, clientAddress, clientPort);
serverSocket.send(sendPacket);
}
}
By following these steps, you should be able to resolve the issue with your Java UDP server not accepting more than one packet.
Scrapy does support multiple cookies in requests. If you're facing issues:
- Ensure correct cookie syntax (cookies parameter in Request).
- Check for unique cookie names; conflicts may occur.
- Verify cookies match the request domain and path.
- Check cookie expiry dates.
- Some websites may filter or reject requests with multiple cookies.
- Manage sessions and middleware carefully.
- Enable Scrapy logging at DEBUG level for more details.
- Use Scrapy's CookieJar for managing cookies.
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