IP | Country | PORT | ADDED |
---|---|---|---|
82.119.96.254 | sk | 80 | 41 minutes ago |
91.92.155.207 | ch | 3128 | 41 minutes ago |
190.58.248.86 | tt | 80 | 41 minutes ago |
83.1.176.118 | pl | 80 | 41 minutes ago |
23.247.136.254 | sg | 80 | 41 minutes ago |
87.248.129.26 | ae | 80 | 41 minutes ago |
158.255.77.169 | ae | 80 | 41 minutes ago |
212.127.93.185 | pl | 8081 | 41 minutes ago |
213.143.113.82 | at | 80 | 41 minutes ago |
194.158.203.14 | by | 80 | 41 minutes ago |
62.99.138.162 | at | 80 | 41 minutes ago |
121.182.138.71 | kr | 80 | 41 minutes ago |
168.196.214.187 | br | 80 | 41 minutes ago |
50.114.33.43 | kh | 8080 | 41 minutes ago |
213.33.126.130 | at | 80 | 41 minutes ago |
103.118.46.174 | kh | 8080 | 41 minutes ago |
38.54.71.67 | np | 80 | 41 minutes ago |
194.219.134.234 | gr | 80 | 41 minutes ago |
103.216.50.224 | kh | 8080 | 41 minutes ago |
122.116.29.68 | 4145 | 41 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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You can bypass the blocking of the messenger by using the built-in proxy server in the application. To do this, go to "Settings" and then to the section "Data and storage". Here, in the "Proxy settings" tab, you will find the "Add proxy" item. A shield icon on the top line of the menu will indicate that the proxy is enabled.
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 4 and later, the Decodable protocol provides a convenient way to parse JSON data into Swift objects. Here's an example demonstrating how to use the Decodable protocol to parse JSON in Swift:
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 Decodable
struct Person: Decodable {
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 Decodable
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 Decodable
to represent nested structures.
To simulate a click during scraping, you can use a headless browser automation library like Puppeteer for Node.js. Puppeteer provides a high-level API to control headless browsers, allowing you to automate tasks such as clicking on elements, filling out forms, and navigating through pages.
Here's a basic example of how you can use Puppeteer to simulate a click:
Install Puppeteer:
npm install puppeteer
Write the Scraping Script:
Create a Node.js script (e.g., scrape_with_click.js
) with the following code:
const puppeteer = require('puppeteer');
async function scrapeWithClick() {
const browser = await puppeteer.launch();
const page = await browser.newPage();
try {
// Navigate to the target URL
await page.goto('https://example.com');
// Wait for a specific selector to appear (replace with the selector of the element you want to click)
const elementSelector = 'button#exampleButton';
await page.waitForSelector(elementSelector);
// Simulate a click on the specified element
await page.click(elementSelector);
// Wait for the page to settle (replace with additional logic if needed)
await page.waitForTimeout(2000);
// Extract and print information after the click
const extractedInfo = await page.evaluate(() => {
// Replace this with your logic to extract information from the clicked page
return document.title;
});
console.log('Extracted information after click:', extractedInfo);
} catch (error) {
console.error('Error during scraping:', error);
} finally {
// Close the browser
await browser.close();
}
}
// Run the scraping script
scrapeWithClick();
Replace 'https://example.com'
with the URL you want to scrape.
Replace 'button#exampleButton'
with the selector of the element you want to click.
Run the Script:
node scrape_with_click.js
This script uses Puppeteer to launch a headless browser, navigate to a specified URL, wait for a specific element to appear, simulate a click on that element, and then perform additional actions or extractions as needed.
Make sure to handle errors and adjust the script based on the structure of the website you are scraping.
To pass a Selenium WebDriver instance to a Python decorator, you can create a custom decorator that takes the WebDriver instance as an argument. Here's an example of how to do this:
First, create a custom decorator that accepts the WebDriver instance:
def webdriver_decorator(driver):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
return func(driver, *args, **kwargs)
return wrapper
return decorator
Create a function that takes the WebDriver instance as an argument and performs the desired action:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
def my_function(driver, search_query):
driver.get('https://example.com')
search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
search_box.send_keys(search_query)
search_box.send_keys(Keys.RETURN)
Apply the custom decorator to the function and pass the WebDriver instance:
@webdriver_decorator
def my_function_with_decorator(driver, search_query):
return my_function(driver, search_query)
Now you can use the decorated function and pass the WebDriver instance:
driver = webdriver.Chrome()
driver.get('https://example.com')
search_results = my_function_with_decorator(driver, 'your search query')
In this example, the my_function_with_decorator function is the same as the my_function function, but it is wrapped by the webdriver_decorator. When you call my_function_with_decorator, you need to pass the WebDriver instance as the first argument.
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