Invite Paradise Proxy

Go through the "Control Panel" to the "Browser Properties" section. Open the "Connections" tab, and then by clicking on the "Network settings" button at the bottom, uncheck the "Proxy server" box. Also uncheck the "Auto-detection" checkbox under "Auto-configuration".

Qt primarily focuses on providing tools and libraries for GUI development, networking, and other application-level features. While it includes facilities for working with XML through classes like QXmlStreamReader and QXmlStreamWriter, these are more geared toward parsing XML rather than HTML.

For HTML parsing, especially when using XPath expressions, you might need to consider additional libraries or tools. One common choice is to use a third-party library like Gumbo or htmlcxx. These libraries are not part of the Qt framework, but they can be used alongside Qt to handle HTML parsing.

Here's a basic example using htmlcxx for HTML parsing:

#include 
#include 
#include 

int main(int argc, char *argv[]) {
    QCoreApplication a(argc, argv);

    std::string htmlData = "
Hello, world!
";

    htmlcxx::HTML::ParserDom parser;
    tree dom = parser.parseTree(htmlData);

    // Example XPath query
    std::string xpathExpression = "//p/span";
    std::vector::iterator> result;
    htmlcxx::XPath::NodeSet nodeSet;
    htmlcxx::XPath::Parser xpathParser;
    xpathParser.compile(xpathExpression.c_str(), &nodeSet);

    for (tree::iterator it = dom.begin(); it != dom.end(); ++it) {
        nodeSet.evaluate(*it);
        if (nodeSet.size() > 0) {
            result.push_back(it);
        }
    }

    // Output the result
    for (auto &it : result) {
        std::cout << "Match found: " << htmlcxx::HTML::toPlainText(it->begin(), it->end()) << std::endl;
    }

    return a.exec();
}

In this example, I've used htmlcxx for HTML parsing and XPath queries. Note that you need to include the htmlcxx library in your project.

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.

For Telegram, it is recommended to use paid proxy servers of the Socks5 protocol. These proxies provide the user with data protection and high and stable connection speed. Telegram developers recommend using servers from European countries.

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).