Choosing Proxies

It is necessary to go to "Settings", select "WiFi", then specify the network for which you want to disable the proxy. After that, tap on "Proxy settings" and check "Off". This option is valid for iOS version 10 and higher.

In PlayStation 4 and 5, setting up a proxy server follows a similar algorithm. It is necessary to go to the "Library", select "Settings", open the tab "Network Settings". In the window that appears, click on "Network". Then choose the type of connection you are using. It will be offered to set the DHCP, DNS and then the proxy server parameters step by step. And here you can enable it by manually entering the necessary settings.

To implement a constant scraping process, you can use a combination of a loop and a delay to periodically scrape data from a website. This process is often referred to as "web scraping with intervals" or "periodic scraping." Here's an example using Node.js and the axios library for making HTTP requests

Install Dependencies

Install the required npm packages:

npm install axios

Write the Scraping Script

Create a Node.js script (e.g., constant_scraping.js) with the following code:

const axios = require('axios');

async function scrapeData() {
    try {
        // Replace with your scraping logic
        const response = await axios.get('https://example.com'); // Replace with the URL you want to scrape
        console.log('Scraped data:', response.data);

        // Add additional scraping logic as needed
        // ...

    } catch (error) {
        console.error('Error during scraping:', error.message);
    }
}

// Function to perform constant scraping with a specified interval
async function constantScraping(interval) {
    while (true) {
        await scrapeData();
        await sleep(interval); // Sleep for the specified interval before the next scrape
    }
}

// Function to introduce a delay using setTimeout
function sleep(ms) {
    return new Promise(resolve => setTimeout(resolve, ms));
}

// Set the interval (in milliseconds) for constant scraping
const scrapingInterval = 60000; // 60 seconds

// Start the constant scraping process
constantScraping(scrapingInterval);

Replace 'https://example.com' with the URL you want to scrape.

Adjust the scraping logic within the scrapeData function to meet your specific requirements.

Run the Script:

Run the script using Node.js:

node constant_scraping.js

This script defines a constantScraping function that continuously calls the scrapeData function at a specified interval using a loop and the sleep function. Adjust the interval (scrapingInterval) based on your scraping needs.

To install the Selenium library in C# for Visual Studio, you can use the NuGet Package Manager, which is integrated into Visual Studio. Follow these steps to install Selenium in your C# project:

1. Open Visual Studio:

   • Launch Visual Studio and open your C# project.

2. Open the Package Manager Console:

   • Go to View -> Other Windows -> Package Manager Console to open the Package Manager Console.

3. Run the Install-Package Command:

   • In the Package Manager Console, run the following command to install the Selenium.WebDriver package:

Install-Package Selenium.WebDriver

• • Press Enter to execute the command. This will download and install the Selenium WebDriver package and its dependencies.

• Verify Installation:

  • After the installation is complete, you should see output indicating that the package has been installed successfully.

• Install Selenium.Support (Optional):

  • Depending on your requirements, you may also want to install Selenium.Support, which includes additional support classes and utilities for Selenium. Run the following command:

Install-Package Selenium.Support

Add Using Statements in Your Code:

• In your C# code file, add the following using statements at the top:

using OpenQA.Selenium;
using OpenQA.Selenium.Chrome;  // Use the appropriate browser namespace (e.g., Firefox, Edge, etc.)

• • Choose the appropriate browser namespace based on the WebDriver you plan to use (e.g., Chrome, Firefox).

• Download WebDriver Executable (Optional):

  • If you are using a specific browser (e.g., Chrome, Firefox), you need to download the corresponding WebDriver executable.

  • Place the WebDriver executable in a location accessible to your project.

• Instantiate WebDriver in Your Code:

  • In your C# code, instantiate the WebDriver using the downloaded WebDriver executable path. For example, for Chrome:

IWebDriver driver = new ChromeDriver("path/to/chromedriver");

8. • Replace "path/to/chromedriver" with the actual path to your ChromeDriver executable.

   • Ensure that you manage the WebDriver instance properly (e.g., closing it after use).

That's it! You have successfully installed the Selenium library in your C# project. You can now use the Selenium WebDriver to automate browser interactions in your C# application.

XEvil is a captcha recognition software, and using it with Python involves interacting with the XEvil API. Typically, XEvil provides a DLL library, and you need to make API calls to it. However, note that XEvil is a third-party commercial product, and you should have the necessary license to use it.

Here is a basic outline of how you might interact with XEvil 4.0 from Python:

Download and Install XEvil 4.0:
Ensure you have a valid license for XEvil.
Download and install XEvil on your machine.

Identify XEvil API Documentation:
Refer to the documentation provided with XEvil, specifically the API documentation. This will guide you on how to make API calls to XEvil.

Make API Calls from Python:
Python does not have a direct interface for XEvil, so you might need to use an intermediary method, such as calling XEvil from the command line or using a wrapper library.
Example using subprocess to call XEvil from the command line:

import subprocess

def solve_captcha(image_path):
    command = ["path/to/xevil.exe", "-solve", image_path]
    result = subprocess.run(command, capture_output=True, text=True)
    return result.stdout.strip()

captcha_result = solve_captcha("path/to/captcha_image.png")
print("Captcha Result:", captcha_result)

Handle Captcha Results:
The result from XEvil will typically be a string containing the recognized captcha text or some indication of success or failure.
Your Python script can then use this result as needed, for example, to submit a form with the recognized captcha.