IP | Country | PORT | ADDED |
---|---|---|---|
128.140.113.110 | de | 5153 | 12 minutes ago |
146.70.164.210 | ro | 1080 | 12 minutes ago |
154.16.146.47 | us | 80 | 12 minutes ago |
198.199.86.11 | us | 3128 | 12 minutes ago |
139.59.1.14 | in | 8080 | 12 minutes ago |
39.191.223.109 | cn | 4096 | 12 minutes ago |
190.58.248.86 | tt | 80 | 12 minutes ago |
194.219.134.234 | gr | 80 | 12 minutes ago |
189.202.188.149 | mx | 80 | 12 minutes ago |
103.49.114.195 | bd | 8080 | 12 minutes ago |
213.143.113.82 | at | 80 | 12 minutes ago |
194.158.203.14 | by | 80 | 12 minutes ago |
62.99.138.162 | at | 80 | 12 minutes ago |
79.110.201.235 | pl | 8081 | 12 minutes ago |
41.230.216.70 | tn | 80 | 12 minutes ago |
103.216.49.233 | kh | 8080 | 12 minutes ago |
203.95.198.35 | kh | 8080 | 12 minutes ago |
203.19.38.114 | cn | 1080 | 12 minutes ago |
103.118.46.61 | kh | 8080 | 12 minutes ago |
79.110.200.148 | pl | 8081 | 12 minutes ago |
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It means that now all the traffic is sent to a VPN server (which can be an ordinary proxy). This is a kind of warning that the remote server can now collect data. Therefore, you should use only well-tested VPN services.
In data centers, proxies are used to provide IP to virtual servers. After all, one server there can be used by a dozen users at the same time. And each needs to be allocated its own IP and port. All this is done through proxies.
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.
In Swift, you can use the Codable protocol to parse JSON data into Swift objects. Here's a basic example:
Assuming you have the following JSON data:
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
And you want to create a Swift struct to represent this data:
import Foundation
// Define a struct conforming to Codable
struct Person: Codable {
let name: String
let age: Int
let city: String
}
// JSON data
let jsonData = """
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
""".data(using: .utf8)!
// Use JSONDecoder to decode JSON data into a Person object
do {
let person = try JSONDecoder().decode(Person.self, from: jsonData)
print("Name: \(person.name)")
print("Age: \(person.age)")
print("City: \(person.city)")
} catch {
print("Error decoding JSON: \(error)")
}
In this example:
Person
struct that conforms to the Codable
protocol. The struct's properties match the keys in the JSON data.Data
using data(using:)
.JSONDecoder
to decode the JSON data into an instance of the Person
struct.Ensure that the keys in your Swift struct match the keys in your JSON data, and the data types match accordingly. The JSONDecoder
automatically maps the JSON data to the struct based on the property names.
This example assumes a simple JSON structure. If your JSON structure is more complex, you may need to define additional structs conforming to Codable
to represent nested structures.
Note: If your JSON data comes from a URL, you can also use URLSession
to fetch the data.
In the context of a proxy server, the term "host" refers to the IP address or domain name of the proxy server itself. The host is the destination where your internet traffic is routed through when you use a proxy server. When you configure your web browser or software to use a proxy, you're specifying the host (proxy server address) and the port number to connect to the proxy server.
The proxy server then forwards your web requests to the actual destination (e.g., a website) and returns the response back to you. This process allows the proxy server to act as an intermediary between you and the internet, potentially providing benefits such as anonymity, access to restricted content, or improved performance.
What else…