Vodacom Internet Proxy

There are many free VPN services. But it is not safe to use them. After all, they are just engaged in parsing. That is, they collect information about users. Most often - their IP-addresses, as well as text data (these are search queries and their personal information).

The proxy domain most often refers to the IP address where the server is located. It can only "learn" the IP address of the user when processing the traffic. But in most cases it does not store such information later for security reasons.

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.

Parsing huge XML files can be challenging due to their size. Here are some tips for efficient XML parsing:

1. Use Streaming Parsers:

   • Streaming parsers, like SAX (Simple API for XML) or StAX (Streaming API for XML), process XML data sequentially. They don't load the entire XML document into memory, making them memory-efficient for large files.

2. XPath for Selective Parsing:

   • XPath is a query language for XML that allows you to navigate through elements and attributes. Use XPath to selectively parse only the parts of the XML document that you need, rather than parsing the entire file.

3. Incremental Parsing:

   • Break the XML document into smaller chunks and parse them incrementally. This can be useful when dealing with extremely large files. Process one chunk at a time instead of loading the entire file into memory.

4. Memory Management:

   • If using a DOM (Document Object Model) parser, be mindful of memory usage. Large XML files can consume a significant amount of memory when loaded into a DOM. Consider using a streaming approach instead.

5. Parallel Processing:

   • If the XML document is partitioned into multiple sections, you can leverage parallel processing to parse different sections concurrently. Be cautious with synchronization to avoid conflicts.

6. Compression:

   • If the XML files are too large, consider compressing them before parsing. This can reduce the file size and speed up the parsing process. Remember to decompress the file before parsing.

7. Optimize Code and Libraries:

   • Ensure that you are using an efficient XML parsing library. Some libraries are better optimized for large files. Additionally, optimize your code for performance by minimizing unnecessary operations.

8. Use Memory-Mapped Files:

   • Memory-mapped files allow parts of a file to be mapped directly into memory. This can be beneficial for random access to different parts of a large XML file.

9. Consider External Tools:

   • In some cases, using external tools specifically designed for processing large XML files might be a good option. These tools are often optimized for performance and memory usage.

Remember that the optimal approach may vary depending on the specific requirements of your application and the characteristics of the XML files you are dealing with.

In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.