Zero Trust Proxy

We recommend using SOCKS5 proxies for uTorrent. When using HTTP, HTTPS, and SOCKS4 protocols, users often encounter technical problems when downloading files. They may simply not be loaded on the device. It is also worth noting that SOCKS5 is the best anonymizer, which hides all the data of the computer.

Before choosing a proxy server provider, it is recommended to pay attention to the parameter "traffic limit". If there is one, money will be deducted from your account. To avoid loss of money, it is better to choose a vendor who has to pay not for traffic, but for the number of addresses.

To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:

Install Required Packages:

pip install aiohttp

Asynchronous Scraping Script:

import asyncio
import aiohttp

async def scrape_url(session, url):
    try:
        async with session.get(url) as response:
            if response.status == 200:
                content = await response.text()
                # Process the content as needed
                print(f"Scraped {url}: {len(content)} characters")
            else:
                print(f"Failed to scrape {url}. Status code: {response.status}")
    except Exception as e:
        print(f"Error scraping {url}: {str(e)}")

async def main():
    urls_to_scrape = [
        'https://example.com/page1',
        'https://example.com/page2',
        # Add more URLs as needed
    ]

    async with aiohttp.ClientSession() as session:
        tasks = [scrape_url(session, url) for url in urls_to_scrape]
        await asyncio.gather(*tasks)

if __name__ == "__main__":
    asyncio.run(main())

• • This script defines an asynchronous function scrape_url to perform the scraping for a given URL.
  • The main function creates an asynchronous HTTP session using aiohttp.ClientSession and gathers the scraping tasks.
  • The asyncio.run(main()) line runs the main asynchronous function.

• Running the Script:

python your_scraper_script.py

This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.

Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.

To send a UDP request to a STUN server in C++, you can use the following example code. This example uses the boost::asio library for handling asynchronous I/O operations and boost::beast for handling UDP communication. Make sure you have the Boost library installed on your system before running this code.

#include 
#include 
#include 
#include 
#include 
#include 
#include 
#include 

namespace http = boost::beast::http;

using tcp = boost::asio::ip::tcp;
using udp = boost::asio::ip::udp;

int main(int argc, char* argv[]) {
  if (argc != 3) {
    std::cerr << "Usage: stun_udp_request  " << std::endl;
    return EXIT_FAILURE;
  }

  boost::asio::io_context ioc;
  udp::resolver resolver(ioc);
  udp::resolver::results_type results = resolver.resolve(argv[1], argv[2]);

  if (results.empty()) {
    std::cerr << "Cannot resolve: " << argv[1] << ":" << argv[2] << std::endl;
    return EXIT_FAILURE;
  }

  udp::socket udp_socket(ioc);
  udp_socket.connect(results.begin()->endpoint());

  // Prepare the STUN Binding Request
  std::string stun_request =
      "BINDING_REQUEST\r\n"
      "MIXED_RELAY\r\n"
      "USER-AGENT: STUN-UDP-Example\r\n"
      "\r\n";

  // Send the STUN Binding Request
  boost::system::error_code ignored_error;
  udp_socket.send_to(boost::asio::buffer(stun_request), results.begin()->endpoint(), 0, ignored_error);

  // Receive the STUN Binding Response
  boost::beast::flat_buffer buffer;
  http::response response;
  udp_socket.receive_message(buffer, response);

  // Print the STUN Binding Response
  std::cout << "STUN Binding Response:\n";
  std::cout << response.what() << std::endl;

  return EXIT_SUCCESS;
}

To compile the example, you can use the following command:

g++ -std=c++17 -o stun_udp_request stun_udp_request.cpp -lboost_system -lboost_as

In Scrapy, you can control the caching behavior of requests made by rules in your spider by adjusting the dont_cache attribute in the Rule object. The dont_cache attribute, when set to True, indicates that the requests matched by the rule should not be cached.

Here's an example of how you can use dont_cache in a CrawlSpider:

from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule

class MySpider(CrawlSpider):
    name = 'my_spider'
    allowed_domains = ['example.com']
    start_urls = ['http://example.com']

    rules = (
        # Example Rule with dont_cache set to True
        Rule(LinkExtractor(allow=('/page/')), callback='parse_page', follow=True, dont_cache=True),
    )

    def parse_page(self, response):
        # Your parsing logic for individual pages goes here
        pass

- The spider is defined as a CrawlSpider.
- The Rule is created with LinkExtractor to match URLs that contain '/page/' in them.
- The dont_cache=True attribute is set to True in the Rule, indicating that requests matched by this rule should not be cached.

By setting dont_cache to True, Scrapy will make sure that requests matched by this rule will be fetched without considering the cache. This is useful when you want to ensure that each request to the specified URLs results in a fresh response, bypassing any cached data.

It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.