Proxy Africell Angola

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.

To scrape Binance courses data in Python, you can use web scraping libraries such as BeautifulSoup and requests. Here's an example using BeautifulSoup to scrape Binance courses

Install required libraries:

pip install beautifulsoup4 requests

Write the scraping code:

import requests
from bs4 import BeautifulSoup

def scrape_binance_courses():
    url = 'https://www.binance.com/en/academy/courses'

    # Send a GET request to the URL
    response = requests.get(url)

    # Check if the request was successful (status code 200)
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')

        # Find the container containing course information
        course_container = soup.find('div', {'class': 'css-7sfsgn'})

        if course_container:
            # Extract course details
            courses = course_container.find_all('div', {'class': 'css-1jiwjuo'})
            
            for course in courses:
                course_title = course.find('div', {'class': 'css-1mg41yd'}).text
                course_description = course.find('div', {'class': 'css-1q62c8m'}).text

                print(f"Title: {course_title}\nDescription: {course_description}\n")

        else:
            print("Course container not found.")
    else:
        print(f"Failed to retrieve the webpage. Status code: {response.status_code}")

# Run the scraping function
scrape_binance_courses()

This example sends a GET request to the Binance Academy courses page, parses the HTML content using BeautifulSoup, and extracts course details such as title and description.

Run the code:

python your_script_name.py

Bouncy Castle is a popular cryptography library in C#. If you want to parse and extract Certificate Signing Request (CSR) extensions using Bouncy Castle, you can follow these steps

Add Bouncy Castle Library

First, make sure you have the Bouncy Castle library added to your project. You can do this via NuGet Package Manager:

Install-Package BouncyCastle

Parse CSR:

Use Bouncy Castle to parse the CSR. The following code demonstrates how to parse a CSR from a PEM-encoded string:

using Org.BouncyCastle.Pkcs;
using Org.BouncyCastle.OpenSsl;
using Org.BouncyCastle.X509;
using System;
using System.IO;

class Program
{
    static void Main()
    {
        string csrString = File.ReadAllText("path/to/your/csr.pem");

        Pkcs10CertificationRequest csr = ParseCSR(csrString);

        // Now you can work with the parsed CSR
    }

    static Pkcs10CertificationRequest ParseCSR(string csrString)
    {
        PemReader pemReader = new PemReader(new StringReader(csrString));
        object pemObject = pemReader.ReadObject();

        if (pemObject is Pkcs10CertificationRequest csr)
        {
            return csr;
        }

        throw new InvalidOperationException("Invalid CSR format");
    }
}

Extract Extensions:

Once you have the CSR parsed, you can extract extensions using the GetAttributes method. Extensions in a CSR are typically stored in the Attributes property. Here's an example:

foreach (DerObjectIdentifier oid in csr.CertificationRequestInfo.Attributes.GetOids())
{
    Attribute attribute = csr.CertificationRequestInfo.Attributes[oid];

    // Work with the attribute, e.g., check if it's an extension
    if (oid.Equals(PkcsObjectIdentifiers.Pkcs9AtExtensionRequest))
    {
        X509Extensions extensions = X509Extensions.GetInstance(attribute.AttrValues[0]);

        // Now you can iterate over extensions and extract the information you need
        foreach (DerObjectIdentifier extOID in extensions.ExtensionOids)
        {
            X509Extension extension = extensions.GetExtension(extOID);
            // Process the extension
        }
    }
}

Modify the code according to your specific requirements and the structure of your CSR. The example assumes a basic structure, and you may need to adapt it based on your CSR format and the extensions you're interested in.

To configure a proxy in Nginx, you need to modify the Nginx configuration file and add the appropriate proxy settings. Follow these steps to set up a proxy in Nginx:

Open the Nginx configuration file: This file is typically located at /etc/nginx/nginx.conf or /etc/nginx/conf.d/default.conf, depending on your system and Nginx installation. You may need root or administrative privileges to edit this file.

Locate the http block: Inside the Nginx configuration file, look for the http block, which contains the global settings for your Nginx server.

Add a server block: Within the http block, add a new server block that specifies the domain name or IP address and port number of the client request you want to proxy to another server. For example:

server {
    listen 80;
    server_name example.com;

    location / {
        proxy_pass http://your-destination-server.com;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

Replace example.com with the domain name you want to proxy to the destination server, and http://your-destination-server.com with the destination server's address and port number.

Configure proxy settings: Within the location block, add the necessary proxy settings to forward the client's request to the destination server and pass along the appropriate headers. Some common proxy settings include:

- proxy_pass: Specifies the destination server's address and port number.
- proxy_set_header: Sets the value of specific headers to be sent to the destination server.
- proxy_redirect: Redirects URLs in the response from the destination server to a different URL.
- proxy_connect_timeout: Sets the timeout for establishing a connection to the destination server.
- proxy_read_timeout: Sets the timeout for reading the response from the destination server.
- proxy_send_timeout: Sets the timeout for sending a response to the client.

Save the configuration file: After making the necessary changes, save the Nginx configuration file.

Test the configuration: Before restarting Nginx, test the configuration to ensure there are no syntax errors. You can do this by running the following command:

nginx -t

If the test is successful, Nginx will output Configuration test successful.

Restart Nginx: Apply the changes by restarting the Nginx server. Depending on your system, you can use one of the following commands:

sudo service nginx restart

or

sudo systemctl restart nginx

After completing these steps, your Nginx server will act as a proxy and forward client requests to the specified destination server.

Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.