Meta Proxy

In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.

To parse all pages of a website in Python, you can use web scraping libraries such as requests for fetching HTML content and BeautifulSoup or lxml for parsing and extracting data. Additionally, you might need to manage crawling and handle the structure of the website.

Here's a basic example using requests and BeautifulSoup:

import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlparse

def get_all_links(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extract all links on the page
    links = [a['href'] for a in soup.find_all('a', href=True)]
    
    return links

def parse_all_pages(base_url):
    all_links = get_all_links(base_url)
    all_pages_content = []

    for link in all_links:
        # Form the full URL for each link
        full_url = urljoin(base_url, link)

        # Ensure the link is within the same domain to avoid external links
        if urlparse(full_url).netloc == urlparse(base_url).netloc:
            # Get HTML content of the page
            page_content = requests.get(full_url).text
            all_pages_content.append({'url': full_url, 'content': page_content})

    return all_pages_content

# Example usage
base_url = 'https://example.com'
all_pages_data = parse_all_pages(base_url)

# Now you have a list of dictionaries with data for each page
for page_data in all_pages_data:
    print(f"URL: {page_data['url']}")
    # Process HTML content of each page as needed
    # For example, you can use BeautifulSoup for further data extraction

This example fetches all links from the initial page and then iterates through each link, fetching and storing the HTML content of the linked pages. Make sure to handle relative URLs and filter external links based on your requirements.

Using UDP, you can request data from a server by sending a request message to the server. Since UDP is a connectionless protocol, you need to know the server's IP address and port to send the request. The server should have a predefined mechanism to handle incoming requests and return the desired data as a response.

Here's a high-level overview of how to request data from a server using UDP:

1. Prepare your request message: Create a message containing the data you want to request from the server. The format of the message depends on the specific application and data you're working with.

2. Send the request message to the server: Use a UDP socket to send the request message to the server's IP address and port. The server should be listening for incoming UDP packets on that address and port.

3. Receive the response from the server: The server processes the incoming request and sends back a response. Use a UDP socket to receive the response on the same or a different port, depending on the application's requirements.

4. Process the response: Extract the desired data from the response and process it as needed.

Here's an example using Python:

import socket

# Prepare the request message
request_message = b"REQUEST_DATA"

# Create a UDP socket
client_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)

# Send the request message to the server
server_address = ('127.0.0.1', 12345)
client_socket.sendto(request_message, server_address)

# Receive the response from the server
response_message, server_address = client_socket.recvfrom(1024)

# Process the response
print(f"Received response: {response_message}")

# Close the socket
client_socket.close()

In this example, the sendto() function sends a request message to the server, and the recvfrom() function receives the response from the server. The server should be running and listening for incoming UDP packets on the specified address and port.

To change the proxy server on your computer, follow these steps based on your operating system:

Windows:

1. Open the Control Panel.
2. Click on "Internet Options."
3. Go to the "Connections" tab and click "LAN settings."
4. Check the "Use a proxy server for your LAN" option.
5. Enter the new proxy server address, port, and authentication details if required.
6. Click "OK" to save the changes and close all open windows.

macOS:

1. Open System Preferences.
2. Click on "Network."
3. Select your active network connection (e.g., Wi-Fi or Ethernet).
4. Click the "Advanced" button.
5. Go to the "Proxies" tab.
6. Select the appropriate proxy setting (HTTP, HTTPS, or SOCKS) from the dropdown menu.
7. Enter the new proxy server address, port, and authentication details if required.
8. Click "OK" and then "Apply" to save the changes.

If you have the operating system Ubuntu, the messenger will not be able to connect to the proxy. On other operating systems, if this situation occurs, you should update your application to the latest version. Another reason for no connection may be a server restart. In this case, you should either wait for the traffic to decrease or connect to a new proxy. Sometimes, to get Telegram working via proxy again, you simply need to replace the outdated proxy server with a new one.