5ch Proxy

In Windows 8 and later editions it is recommended to setup network proxy through Group Policy. To do this, run GPMC.msc (via "Run" or enter in the "Search"), then select the section with the users, from the list of parameters select "Internet Settings". Further settings are not different from the standard ones in Windows. You can set proxy, specify the start page, enter restrictions and so on.

The HTMLCleaner library is typically used for cleaning and transforming HTML documents, but it does not provide a direct API for parsing HTML. Instead, it's often used in conjunction with an HTML parser to clean and format the HTML content.

Here's an example using HTMLCleaner along with the Jsoup library, which is a popular HTML parser in Java

Add the HTMLCleaner and Jsoup dependencies to your project. You can use Maven or Gradle to include them.

For Maven:

    net.sourceforge.htmlcleaner
    htmlcleaner
    2.25



    org.jsoup
    jsoup
    1.14.3

For Gradle:

implementation 'net.sourceforge.htmlcleaner:htmlcleaner:2.25'
implementation 'org.jsoup:jsoup:1.14.3'

Use HTMLCleaner and Jsoup to parse and clean HTML:

import org.htmlcleaner.CleanerProperties;
import org.htmlcleaner.HtmlCleaner;
import org.htmlcleaner.TagNode;
import org.htmlcleaner.XPatherException;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;

public class HtmlParsingExample {
    public static void main(String[] args) {
        String htmlContent = "
	
	
	
	
	
	
Hello, world!
";

        // Parse HTML using Jsoup
        Document document = Jsoup.parse(htmlContent);

        // Clean the parsed HTML using HTMLCleaner
        TagNode tagNode = cleanHtml(document.outerHtml());

        // Perform additional operations with the cleaned HTML
        // For example, extracting text content using XPath
        try {
            Object[] result = tagNode.evaluateXPath("//body/p");
            if (result.length > 0) {
                TagNode paragraph = (TagNode) result[0];
                String textContent = paragraph.getText().toString();
                System.out.println("Text content: " + textContent);
            }
        } catch (XPatherException e) {
            e.printStackTrace();
        }
    }

    private static TagNode cleanHtml(String html) {
        HtmlCleaner cleaner = new HtmlCleaner();
        CleanerProperties properties = cleaner.getProperties();

        // Configure cleaner properties if needed
        properties.setOmitXmlDeclaration(true);

        try {
            return cleaner.clean(html);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
}

In this example, Jsoup is used for initial HTML parsing, and HTMLCleaner is used to clean the HTML. You can perform additional operations on the cleaned HTML, such as using XPath to extract specific elements.

JSON scraping typically involves extracting data from a JSON response obtained from an API. When you mention doing JSON scraping sequentially, it could mean processing items in the JSON response one after another. Below is a simple example in Python that demonstrates sequential processing of JSON data:

import requests

def fetch_data(url):
    response = requests.get(url)
    return response.json()

def process_item(item):
    # Replace this with your actual processing logic
    print("Processing item:", item)

def scrape_sequentially(api_url):
    data = fetch_data(api_url)

    # Assuming the JSON response is a list of items
    if isinstance(data, list):
        for item in data:
            process_item(item)
    else:
        print("Invalid JSON format. Expected a list of items.")

# Replace 'https://example.com/api/data' with the actual API URL
api_url = 'https://example.com/api/data'
scrape_sequentially(api_url)

In this example:

1. The fetch_data function sends a GET request to the specified API URL and returns the JSON response.
2. The process_item function represents the logic you want to apply to each item in the JSON response.
3. The scrape_sequentially function fetches the JSON data, checks if it's a list, and then iterates through each item, applying the processing logic sequentially.

Make sure to replace the placeholder URL 'https://example.com/api/data' with the actual URL of the API you want to scrape.

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.

Not all routers support proxies, this nuance should be clarified with the manufacturer. But many of the routers from Asus, TP-Link, Xiaomi work well with this type of connection. All this is configured through the web interface. By the way, for some routers, custom Padavan firmware is also available. The proxy works best there, especially in the presence of the OpenVPN plugin.