DirectAdmin Reverse Proxy

In the messenger settings, go to "Data and Drive". Click on "Proxy settings", and then, enabling the "Use proxy settings" tab, enter the server, port, username and password in the specially highlighted fields. If you are going to make settings in the Desktop version, you will need to go to the menu. There, in the "Connection method" item, click on "TSP via Socks5" and enter the required data.

There are lots of ways to use them. For example, you can swap your real IP address location for an American one, thus getting the opportunity to watch Netflix at a bargain price. Or you can set up parsing traffic through a proxy to test the security of your web applications. Or you can create a proxy server on your local network that allows traffic through and blocks requests to certain sites.

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.

In simple terms, it is a logically separated part of the main local or public network. It is through it that many users can use a proxy through a single server at the same time. Each connection is allocated to a separate subnet.

A proxy in data centers is usually a separate server that processes incoming requests and then distributes them to the submitted addresses (or IP). Also through the proxy it is possible to allocate a specific user a separate IP address for connection (for example, if he needs a virtual server).