Grant Proxy

The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.

Parsing HTML in C++ can be achieved using libraries that provide HTML parsing capabilities. One such popular library is Gumbo, developed by Google. Gumbo is an HTML5 parsing library that provides an easy-to-use API for extracting information from HTML documents.

Here's a basic example of parsing HTML using Gumbo in C++

Install Gumbo Library

Follow the installation instructions on the Gumbo GitHub repository to build and install the library.

Include Gumbo Headers in Your C++ Code:

#include 

Write HTML Parsing Code:

#include 
#include 

void parseHtml(const char* html) {
    GumboOutput* output = gumbo_parse(html);
    // Process the parsed HTML tree
    // ...

    // Clean up
    gumbo_destroy_output(&kGumboDefaultOptions, output);
}

int main() {
    const char* html = "
Hello, World!
";
    parseHtml(html);

    return 0;
}

The parseHtml function takes an HTML string as input, uses Gumbo to parse it, and then you can traverse the resulting parse tree to extract information.

Traverse the Parse Tree:

void traverseNode(GumboNode* node) {
    if (node->type == GUMBO_NODE_ELEMENT) {
        // Handle element node
        GumboElement* element = &node->v.element;
        // Extract tag name: element->tag
        // Process attributes: element->attributes
    } else if (node->type == GUMBO_NODE_TEXT) {
        // Handle text node
        GumboText* text = &node->v.text;
        // Extract text content: text->text
    }

    // Recursively traverse child nodes
    if (node->type != GUMBO_NODE_TEXT && node->v.element.children.length > 0) {
        for (unsigned int i = 0; i < node->v.element.children.length; ++i) {
            traverseNode(static_cast(node->v.element.children.data[i]));
        }
    }
}

void processParsedHtml(GumboNode* root) {
    // Traverse the parsed HTML tree
    traverseNode(root);
}

Modify the traverseNode function according to your needs to extract information from HTML elements and text nodes.

Compile and Run:

Compile your C++ code with the Gumbo library linked.

Run the executable.

Remember to handle memory management properly and check for errors when using Gumbo. The example above provides a basic framework, and you may need to adapt it based on the specific HTML structure you are dealing with.

In Selenium, you can select text from an element using various methods depending on the type of element and the browser you are using. Below are some common approaches:

Using getText() method:

The getText() method is used to get the visible text of an element. It returns the text as a single string.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

element = driver.find_element_by_id("element-id")
text = element.getText()
print(text)

Using find_elements() and get_attribute():

If you need to select a specific piece of text within an element, you can use the find_elements() method to find all the elements that match a certain condition and then use get_attribute('innerText') to get the text content of those elements.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

elements = driver.find_elements_by_xpath("//div[@class='some-class']//p")
for element in elements:
    text = element.get_attribute('innerText')
    print(text)

Using execute_script():

You can also use JavaScript to select text. The execute_script() method allows you to run JavaScript code in the context of the current page.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

text = driver.execute_script("return arguments[0].innerText;", driver.find_element_by_id("element-id"))
print(text)

Using actions module:

If you need to interact with the text, for example, to click on a specific word or phrase, you can use the actions module.

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains

driver = webdriver.Chrome()
driver.get("https://www.example.com")

element = driver.find_element_by_id("element-id")
actions = ActionChains(driver)
actions.move_to_element(element).perform()
actions.click(element).perform()

Remember to replace "https://www.example.com" and "element-id" with the actual URL and element ID or selector you want to interact with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.

A proxy in data centers is usually a separate server that processes incoming requests and then distributes them to the submitted addresses (or IP). Also through the proxy it is possible to allocate a specific user a separate IP address for connection (for example, if he needs a virtual server).

Incoming and outgoing Internet speeds are important indicators of proxy performance because they directly influence the speed of downloading the required information. The value of the ping is important for estimating the speed - the lower the value, the better. You can find out the real speed of your proxy server with the help of proxy checker.