IP | Country | PORT | ADDED |
---|---|---|---|
82.119.96.254 | sk | 80 | 35 minutes ago |
50.174.7.162 | us | 80 | 35 minutes ago |
50.171.122.24 | us | 80 | 35 minutes ago |
72.10.164.178 | ca | 13327 | 35 minutes ago |
50.217.226.47 | us | 80 | 35 minutes ago |
189.202.188.149 | mx | 80 | 35 minutes ago |
50.221.230.186 | us | 80 | 35 minutes ago |
67.43.228.250 | ca | 5349 | 35 minutes ago |
50.171.122.27 | us | 80 | 35 minutes ago |
50.217.226.42 | us | 80 | 35 minutes ago |
50.221.74.130 | us | 80 | 35 minutes ago |
194.219.134.234 | gr | 80 | 35 minutes ago |
176.215.76.192 | ru | 1080 | 35 minutes ago |
50.223.246.238 | us | 80 | 35 minutes ago |
202.6.233.133 | id | 80 | 35 minutes ago |
50.171.122.28 | us | 80 | 35 minutes ago |
50.223.246.237 | us | 80 | 35 minutes ago |
5.183.70.46 | ru | 1080 | 35 minutes ago |
45.191.13.241 | br | 4153 | 35 minutes ago |
83.1.176.118 | pl | 80 | 35 minutes ago |
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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 = "Example 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.
XEvil is a captcha recognition software, and using it with Python involves interacting with the XEvil API. Typically, XEvil provides a DLL library, and you need to make API calls to it. However, note that XEvil is a third-party commercial product, and you should have the necessary license to use it.
Here is a basic outline of how you might interact with XEvil 4.0 from Python:
Download and Install XEvil 4.0:
Ensure you have a valid license for XEvil.
Download and install XEvil on your machine.
Identify XEvil API Documentation:
Refer to the documentation provided with XEvil, specifically the API documentation. This will guide you on how to make API calls to XEvil.
Make API Calls from Python:
Python does not have a direct interface for XEvil, so you might need to use an intermediary method, such as calling XEvil from the command line or using a wrapper library.
Example using subprocess to call XEvil from the command line:
import subprocess
def solve_captcha(image_path):
command = ["path/to/xevil.exe", "-solve", image_path]
result = subprocess.run(command, capture_output=True, text=True)
return result.stdout.strip()
captcha_result = solve_captcha("path/to/captcha_image.png")
print("Captcha Result:", captcha_result)
Handle Captcha Results:
The result from XEvil will typically be a string containing the recognized captcha text or some indication of success or failure.
Your Python script can then use this result as needed, for example, to submit a form with the recognized captcha.
In CentOS, if there is no graphical interface (from the terminal), proxy configuration is done through the export http_proxy=http://User:Pass@Proxy:Port/ command. Accordingly, User is the user, Pass is the password to identify you, Proxy is the IP address of the proxy, and Port is the port number. If you have DE, the configuration can be done via Network Manager (as in any other Linux distribution).
A proxy server acts as an intermediary between the client and the requested Internet resource. It is assigned the role of a kind of gateway or filter, which is responsible for submitting a request, receiving the required information and providing it to the user. The proxy server, if necessary, can make changes in incoming and outgoing data, the nature of which will depend on the type of proxy and its settings.
In CentOS, if there is no graphical interface (from the terminal), proxy configuration is done through the export http_proxy=http://User:Pass@Proxy:Port/ command. Accordingly, User is the user, Pass is the password to identify you, Proxy is the IP address of the proxy, and Port is the port number. If you have DE, the configuration can be done via Network Manager (as in any other Linux distribution).
What else…