Ps Proxy Server

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.

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.

A proxy for calls refers to a tool or service that acts as an intermediary between the caller and the recipient of the call. It can be used for various purposes, such as anonymity, security, or call routing. Some common types of proxy services for calls include:

1. Call forwarding: This is a service that allows incoming calls to be redirected to a different phone number, often used when the recipient is not available or unable to answer the call.

2. VoIP proxies: These are servers that facilitate voice over IP (VoIP) calls, allowing users to make and receive calls over the internet. VoIP proxies can be used for various purposes, such as hiding the caller's IP address or bypassing geographical restrictions.

3. Call masking: This is a service that hides the caller's phone number, allowing the caller to remain anonymous.

4. Call recording proxies: These are used to record incoming or outgoing calls, often used for quality assurance, training, or monitoring purposes.

5. Call routing proxies: These are used to route calls to different destinations based on specific criteria, such as time of day, location, or the caller's number.

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.

You need to go to "Settings", under "Sharing" select "VPN". And there you can either enter the connection parameters manually (address, port number, username and password), or choose a program that automatically connects the user to the proxy (free applications of this type can be found in Google Play).