Milknami Proxy

To scrape images in C#, you can use the HTMLAgilityPack library for parsing HTML and retrieving image URLs. Here's a basic example

Install HTMLAgilityPack

You can install the HTMLAgilityPack NuGet package using the following command in the Package Manager Console:

Install-Package HtmlAgilityPack

Write a C# script to scrape images:

using System;
using System.Collections.Generic;
using HtmlAgilityPack;

class Program
{
    static void Main()
    {
        string url = "https://example.com"; // Replace with the URL of the page you want to scrape images from

        // Download HTML content from the URL
        HtmlWeb web = new HtmlWeb();
        HtmlDocument document = web.Load(url);

        // Extract image URLs
        List imageUrls = ExtractImageUrls(document, url);

        // Print the extracted image URLs
        foreach (string imageUrl in imageUrls)
        {
            Console.WriteLine(imageUrl);
        }
    }

    static List ExtractImageUrls(HtmlDocument document, string baseUrl)
    {
        List imageUrls = new List();

        // Select image elements using XPath
        var imageElements = document.DocumentNode.SelectNodes("//img[@src]");

        if (imageElements != null)
        {
            foreach (var imageElement in imageElements)
            {
                // Extract image URL from the src attribute
                string imageUrl = imageElement.GetAttributeValue("src", "");

                // Make the URL absolute if it's a relative URL
                imageUrl = new Uri(new Uri(baseUrl), imageUrl).AbsoluteUri;

                // Add the URL to the list
                imageUrls.Add(imageUrl);
            }
        }

        return imageUrls;
    }
}

This script uses HTMLAgilityPack to load the HTML content of a webpage and extract image URLs using XPath. The ExtractImageUrls method selects image elements with the XPath query "//img[@src]", retrieves the src attribute, and converts relative URLs to absolute URLs.

Run the script:

Replace the url variable with the URL of the webpage you want to scrape images from.

Run the script to see the list of image URLs.

Yes, you can speed up XML parsing using Python's ElementTree module by following some optimization techniques. Here are a few tips

1. Use Iterative Parsing (iterparse)

Instead of using ElementTree.parse(), consider using ElementTree.iterparse() for iterative parsing. It allows you to process the XML tree element by element, reducing memory usage compared to parsing the entire tree at once.

import xml.etree.ElementTree as ET

for event, element in ET.iterparse('your_file.xml'):
    # Process the element here
    pass

2. Use a Streaming Parser

ElementTree is a tree-based parser, but for large XML files, consider using a streaming parser like xml.sax or lxml. Streaming parsers read the XML file sequentially, avoiding the need to load the entire document into memory.

import xml.sax

class MyHandler(xml.sax.ContentHandler):
    def startElement(self, name, attrs):
        # Process the start of an element

    def endElement(self, name):
        # Process the end of an element

parser = xml.sax.make_parser()
handler = MyHandler()
parser.setContentHandler(handler)
parser.parse('your_file.xml')

3. Disable DTD Loading

If your XML file doesn't require DTD (Document Type Definition) validation, you can disable it to speed up parsing. DTD validation can introduce overhead.

parser = ET.XMLParser()
parser.entity = {}
tree = ET.parse('your_file.xml', parser=parser)

4. Use a Faster Parser (lxml)

Consider using the lxml library, which is known for being faster than the built-in ElementTree. Install it using:

pip install lxml

Then, use it in your code:

from lxml import etree

tree = etree.parse('your_file.xml')

5. Use a Subset of Data

If you don't need the entire XML document, parse only the subset of data that you need. This reduces the amount of data being processed.

6. Profile Your Code

Use profiling tools like cProfile to identify bottlenecks in your code. This will help you focus on optimizing specific parts of your XML processing logic.

To specify the data of a proxy server in the Opera browser, you need to follow the algorithm below:

Open the browser.
Click on the Opera icon in the upper left corner.
Go to "Settings".
Select the "Advanced" option.
Scroll down to the "System" tab.
Click "Open proxy settings for computer".
Click on "Network settings".
Activate the "Use a proxy server" option.
In the tab that opens, specify the IP address of the proxy server. The address must be entered in the field of the protocol to which the proxy server belongs. You can get this information from your proxy provider. Click "OK" to save your settings.

Every proxy server is of the type 168.1.1.1:8080, where the first part before the colon is the IP address of the remote computer through which the connection is made. The second part (after the colon, in this case 8080) is the port number through which your equipment will connect to that very remote server.

In Android to disable the proxy, you need to go to "Settings", then - "Connection and sharing", then - to "VPN". And then just deactivate the item. Many phones also provide for automatic disabling of proxies and VPNs when the device is rebooted. That is, if the user is difficult to understand the settings of the gadget, then you can trivially restart it through a long press the lock button (forced reboot).