Rhystic Study Proxy

When performing web scraping with authorization in Python, you typically need to simulate the login process of a user by sending the necessary authentication data (such as username and password) to the website. The exact steps depend on the authentication method used by the website, and there are several common approaches

Basic Authentication (using requests library)

If the website uses HTTP Basic Authentication, you can include the authentication credentials in the request headers using the requests library.

import requests

url = 'https://example.com/data'
username = 'your_username'
password = 'your_password'

response = requests.get(url, auth=(username, password))

if response.status_code == 200:
    # Successfully authenticated, you can now parse the content
    print(response.text)
else:
    print(f"Failed to authenticate. Status code: {response.status_code}")

Form-Based Authentication

For websites that use form-based authentication (login form), you need to send a POST request with the appropriate form data.

import requests

login_url = 'https://example.com/login'
data = {
    'username': 'your_username',
    'password': 'your_password',
}

# Use a session to persist the authentication across requests
with requests.Session() as session:
    response = session.post(login_url, data=data)

    if response.status_code == 200:
        # Authentication successful, continue with subsequent requests
        data_url = 'https://example.com/data'
        data_response = session.get(data_url)
        print(data_response.text)
    else:
        print(f"Failed to authenticate. Status code: {response.status_code}")

OAuth Authentication

For websites using OAuth, you might need to use an OAuth library like requests_oauthlib or oauthlib to handle the OAuth flow.

Handling Cookies

Sometimes, authentication is maintained using cookies. In such cases, you need to handle cookies in your requests.

import requests

login_url = 'https://example.com/login'
data = {
    'username': 'your_username',
    'password': 'your_password',
}

# Use a session to persist the authentication across requests
with requests.Session() as session:
    login_response = session.post(login_url, data=data)

    if login_response.status_code == 200:
        # Authentication successful, continue with subsequent requests
        data_url = 'https://example.com/data'
        data_response = session.get(data_url)
        print(data_response.text)
    else:
        print(f"Failed to authenticate. Status code: {login_response.status_code}")

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.

When choosing a proxy through which to connect to Skype, pay attention to the stability of its work, the level of anonymity and low load that exceeds the final speed of the connection. Launch the Skype application and open the context menu "Tools". Through the "Advanced" tab, go to "Connection" to open the "Change settings" tab. Here, in the special form, specify the IP address and port, and then click "Save" and restart Skype.

Technically, ISP can block only some intermediary servers by IP-addresses. But it's impossible to block absolutely all VPN-servers, because there are so many of them and their addresses are constantly changing. Accordingly, in this case, you just need to use another VPN-server.

Proxy "tunneling" should be understood as the isolation of traffic from the user. It allows you to form a fully protected channel for data exchange, which will be isolated from all other traffic.