Mobile Proxy For Instagram

Install the Nginx web server and disable the virtual tail. Next, in the /etc/nginx/sites-available directory, create a reverse-proxy.conf file. The file should be saved after completing the installation and quit the editor by typing "wq. You can send information to other servers by using the ngx_http_proxy_module in the terminal. Now activate the directives and test Nginx and the reverse proxy.

When scraping a dynamic list where the content is loaded dynamically, you often need to use a web scraping library that supports interaction with JavaScript or a headless browser. The selenium library is a popular choice for this task.

Below is an example of scraping a dynamic list from a website using Python with selenium. In this example, the list items are loaded dynamically through JavaScript, and we'll use selenium to interact with the page.

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# Replace 'your_url' with the actual URL of the page
url = 'your_url'

# Initialize the webdriver (you may need to download the appropriate webdriver for your browser)
driver = webdriver.Chrome()

# Open the webpage
driver.get(url)

# Use WebDriverWait to wait for the dynamic content to load
try:
    # Adjust the timeout and conditions based on your webpage's behavior
    WebDriverWait(driver, 10).until(
        EC.presence_of_element_located((By.XPATH, '//div[@class="your-list-item-class"]'))
    )

    # Extract the list items using XPath (adjust the XPath based on your HTML structure)
    list_items = driver.find_elements(By.XPATH, '//div[@class="your-list-item-class"]')

    # Process the list items
    for index, item in enumerate(list_items):
        print(f"Item {index + 1}: {item.text}")

finally:
    # Close the browser window
    driver.quit()

In this example:

• Replace 'your_url' with the actual URL of the page you want to scrape.
• Adjust the XPath in driver.find_elements based on the structure of your HTML. This XPath should point to the dynamic list items.

Remember to install the selenium library (pip install selenium) and download the appropriate WebDriver (e.g., ChromeDriver) for your browser.

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.

In the main window of the program, select "Advanced", then "Options". In the "Basic" section, there is the "Proxy settings" item. Click on "Configuration" and enter the server address, port number, protocol type used and so on.

It means routing traffic from multiple devices through a single proxy server. In this way you can, for example, organize a local network in an office environment, but where all the traffic data can be viewed from the administrator's server.