Mkvhub Proxy

In PHP, you can generate JSON data using the json_encode function, and in Swift (iOS/macOS), you can parse it using JSONSerialization or Codable depending on your needs.

Here's an example of generating JSON in PHP and parsing it using NSJSONSerialization in Swift

PHP (Generate JSON):

 'John Doe',
    'age' => 25,
    'city' => 'New York',
    'is_student' => true
);

// Encode data to JSON
$jsonData = json_encode($data);

// Output JSON
echo $jsonData;
?>

In this PHP script, the json_encode function is used to convert the PHP associative array into a JSON string.

Swift (Parse JSON using NSJSONSerialization):

import Foundation

// Sample JSON data as a string
let jsonString = """
{
    "name": "John Doe",
    "age": 25,
    "city": "New York",
    "is_student": true
}
"""

// Convert JSON string to Data
if let jsonData = jsonString.data(using: .utf8) {
    do {
        // Parse JSON data using NSJSONSerialization
        if let jsonObject = try JSONSerialization.jsonObject(with: jsonData, options: []) as? [String: Any] {
            // Access parsed JSON data
            let name = jsonObject["name"] as? String ?? ""
            let age = jsonObject["age"] as? Int ?? 0
            let city = jsonObject["city"] as? String ?? ""
            let isStudent = jsonObject["is_student"] as? Bool ?? false

            // Print parsed data
            print("Name: \(name)")
            print("Age: \(age)")
            print("City: \(city)")
            print("Is Student: \(isStudent)")
        }
    } catch {
        print("Error parsing JSON: \(error.localizedDescription)")
    }
}

In this Swift code, the JSONSerialization class is used to parse the JSON string (converted to Data) into a Swift dictionary ([String: Any]). You can then access individual values from the parsed JSON data.

Note: Ensure that the JSON structure in your PHP script and Swift code aligns, and handle errors appropriately during parsing. Additionally, consider using Codable in Swift for a more convenient way to work with JSON data if your data structure matches your Swift model.

To simulate a click during scraping, you can use a headless browser automation library like Puppeteer for Node.js. Puppeteer provides a high-level API to control headless browsers, allowing you to automate tasks such as clicking on elements, filling out forms, and navigating through pages.

Here's a basic example of how you can use Puppeteer to simulate a click:

1. Install Puppeteer:

   • Install Puppeteer using npm:

npm install puppeteer

Write the Scraping Script:

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

const puppeteer = require('puppeteer');

async function scrapeWithClick() {
    const browser = await puppeteer.launch();
    const page = await browser.newPage();

    try {
        // Navigate to the target URL
        await page.goto('https://example.com');

        // Wait for a specific selector to appear (replace with the selector of the element you want to click)
        const elementSelector = 'button#exampleButton';
        await page.waitForSelector(elementSelector);

        // Simulate a click on the specified element
        await page.click(elementSelector);

        // Wait for the page to settle (replace with additional logic if needed)
        await page.waitForTimeout(2000);

        // Extract and print information after the click
        const extractedInfo = await page.evaluate(() => {
            // Replace this with your logic to extract information from the clicked page
            return document.title;
        });

        console.log('Extracted information after click:', extractedInfo);
    } catch (error) {
        console.error('Error during scraping:', error);
    } finally {
        // Close the browser
        await browser.close();
    }
}

// Run the scraping script
scrapeWithClick();

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

  • Replace 'button#exampleButton' with the selector of the element you want to click.

• Run the Script:

  • Run the script using Node.js:

node scrape_with_click.js

This script uses Puppeteer to launch a headless browser, navigate to a specified URL, wait for a specific element to appear, simulate a click on that element, and then perform additional actions or extractions as needed.

Make sure to handle errors and adjust the script based on the structure of the website you are scraping.

To reduce the resource consumption of Selenium with Google Chrome, you can try the following methods:

1. Use ChromeOptions:

You can use the ChromeOptions class to configure ChromeDriver settings that can help reduce resource consumption. For example, you can set the window size to a smaller value or disable certain features like animations and extensions.

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

chrome_options = Options()
chrome_options.add_argument("--start-maximized")
chrome_options.add_argument("--disable-extensions")
chrome_options.add_argument("--disable-gpu")
chrome_options.add_argument("--headless")

driver = webdriver.Chrome(options=chrome_options)

driver.get('your_url')

# Rest of your code

driver.quit()

2. Use a headless browser:

A headless browser is a browser that runs without a graphical user interface (GUI). Running a headless browser can reduce resource consumption, as it doesn't require rendering a visual interface. You can enable headless mode by adding the --headless argument to the ChromeOptions.

3. Limit the number of concurrent instances:

If you're running multiple instances of Selenium with ChromeDriver, consider limiting the number of concurrent instances to avoid overloading your system resources.

4. Use a lighter browser:

Consider using a lighter browser like Firefox or Edge instead of Google Chrome. These browsers generally consume fewer resources than Chrome, and you can still use Selenium with them.

5. Close unnecessary browser tabs:

Close any unnecessary browser tabs or windows to free up system resources.

6. Optimize your code:

Review your Selenium code to identify and remove any unnecessary or inefficient operations that may be consuming resources. For example, avoid using excessive loops, and use explicit waits instead of implicit waits.

Remember that the specific resource consumption of Selenium with Google Chrome depends on various factors, including the complexity of the web pages you're testing, the number of elements on the page, and the performance of your system. Experiment with the above methods to find the best combination for your needs.

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.

A proxy pool is a database that includes addresses for multiple proxy servers. For example, each VPN service has one. And it "distributes" them in order to the connected users.