Proxy Indosat

It is recommended to use third-party programs that allow redirecting all traffic through a proxy server. For example, ProxyDroid, EveryProxy. It is not possible to use proxies through the regular menu. Although in phones from some manufacturers such possibility has been added.

This depends directly on how the proxy server works. Some of them do not require any authorization at all, others require username and password for access, and others require you to view ads and so on. Which option will be used depends directly on the service that provides access to the proxy server.

To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:

Install Required Packages:

pip install aiohttp

Asynchronous Scraping Script:

import asyncio
import aiohttp

async def scrape_url(session, url):
    try:
        async with session.get(url) as response:
            if response.status == 200:
                content = await response.text()
                # Process the content as needed
                print(f"Scraped {url}: {len(content)} characters")
            else:
                print(f"Failed to scrape {url}. Status code: {response.status}")
    except Exception as e:
        print(f"Error scraping {url}: {str(e)}")

async def main():
    urls_to_scrape = [
        'https://example.com/page1',
        'https://example.com/page2',
        # Add more URLs as needed
    ]

    async with aiohttp.ClientSession() as session:
        tasks = [scrape_url(session, url) for url in urls_to_scrape]
        await asyncio.gather(*tasks)

if __name__ == "__main__":
    asyncio.run(main())

• • This script defines an asynchronous function scrape_url to perform the scraping for a given URL.
  • The main function creates an asynchronous HTTP session using aiohttp.ClientSession and gathers the scraping tasks.
  • The asyncio.run(main()) line runs the main asynchronous function.

• Running the Script:

python your_scraper_script.py

This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.

Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.

To move the mouse using Selenium with C#, you can use the IJavaScriptExecutor interface to execute JavaScript commands that control the mouse movements on the web page. Here's an example of how to move the mouse to a specific element:

using OpenQA.Selenium;
using OpenQA.Selenium.Chrome;
using OpenQA.Selenium.Support.UI;
using System;

namespace SeleniumMouseMoveExample
{
    class Program
    {
        static void Main(string[] args)
        {
            // Set up the WebDriver
            IWebDriver driver = new ChromeDriver();
            driver.Manage().Window.Maximize();

            // Navigate to the target web page
            driver.Navigate().GoToUrl("https://www.example.com");

            // Wait for the page to load
            WebDriverWait wait = new WebDriverWait(driver, TimeSpan.FromSeconds(10));
            IWebElement element = wait.Until(x => x.Id == "target-element");

            // Move the mouse to the element
            ((IJavaScriptExecutor)driver).ExecuteScript(
                "arguments[0].scrollIntoView();", element);
            ((IJavaScriptExecutor)driver).ExecuteScript(
                "arguments[0].style.border='2px solid red';", element);
            ((IJavaScriptExecutor)driver).ExecuteScript(
                "window.getSelection().empty();", element);
            ((IJavaScriptExecutor)driver).ExecuteScript(
                "var event = document.createEvent('MouseEvents');" +
                "event.initMouseEvent('mousemove', true, false, window, 1, 0, 0, 0, 0, false, false, false, false, 0, null);" +
                "arguments[0].dispatchEvent(event);", element);

            // Perform any additional actions as needed

            // Close the browser
            driver.Quit();
        }
    }
}

In this example, we first set up the WebDriver and navigate to the target web page. We then use the WebDriverWait class to wait for a specific element to load on the page. After that, we use the IJavaScriptExecutor interface to execute JavaScript commands that move the mouse to the element.

The scrollIntoView() method scrolls the element into view, the style.border property is used to highlight the element, and the window.getSelection().empty() method clears any existing selection. Finally, we create a custom mouse event using the createEvent method and dispatch it to the element using the dispatchEvent method.

Remember to replace "https://www.example.com" and "target-element" with the actual URL and element ID or selector of the web page and element you want to interact with.

Transferring a large byte array using UDP involves breaking the data into smaller chunks and sending each chunk as a separate UDP datagram. Since UDP is a connectionless protocol, there's no guarantee that the chunks will arrive in the same order they were sent. Therefore, you'll also need to send additional information to reassemble the data correctly at the receiver side.

Here's a simple example using Python to send and receive large byte arrays using UDP:

1. Sender (Python script send_large_data.py):

import socket

def send_large_data(data, host, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    chunk_size = 1024

    total_chunks = len(data) // chunk_size + 1
    sequence_number = 0

    for i in range(total_chunks):
        start = sequence_number * chunk_size
        end = start + chunk_size
        chunk = data[start:end]

        sock.sendto(chunk, (host, port))
        sequence_number += 1

    sock.close()

if __name__ == "__main__":
    large_data = b"This is a large byte array sent using UDP." * 100
    host = "127.0.0.1"
    port = 12345
    send_large_data(large_data, host, port)

2. Receiver (Python script receive_large_data.py):

import socket

def receive_large_data(host, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    chunk_size = 1024
    total_chunks = 0
    received_data = b""

    while True:
        data, address = sock.recvfrom(chunk_size)
        total_chunks += 1
        received_data += data

        if len(received_data) >= (total_chunks - 1) * chunk_size:
            break

    sock.close()
    return received_data

if __name__ == "__main__":
    host = "127.0.0.1"
    port = 12345
    large_data = receive_large_data(host, port)
    print("Received data:", large_data)

In this example, the sender script send_large_data.py breaks the large byte array into chunks of 1024 bytes and sends each chunk as a separate UDP datagram. The receiver script receive_large_data.py receives the chunks and reassembles them into the original byte array.