IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 35 minutes ago |
50.168.72.114 | us | 80 | 35 minutes ago |
50.207.199.84 | us | 80 | 35 minutes ago |
50.172.75.123 | us | 80 | 35 minutes ago |
50.168.72.122 | us | 80 | 35 minutes ago |
194.219.134.234 | gr | 80 | 35 minutes ago |
50.172.75.126 | us | 80 | 35 minutes ago |
50.223.246.238 | us | 80 | 35 minutes ago |
178.177.54.157 | ru | 8080 | 35 minutes ago |
190.58.248.86 | tt | 80 | 35 minutes ago |
185.132.242.212 | ru | 8083 | 35 minutes ago |
62.99.138.162 | at | 80 | 35 minutes ago |
50.145.138.156 | us | 80 | 35 minutes ago |
202.85.222.115 | cn | 18081 | 35 minutes ago |
120.132.52.172 | cn | 8888 | 35 minutes ago |
47.243.114.192 | hk | 8180 | 35 minutes ago |
218.252.231.17 | hk | 80 | 35 minutes ago |
50.175.123.233 | us | 80 | 35 minutes ago |
50.175.123.238 | us | 80 | 35 minutes ago |
50.171.122.27 | us | 80 | 35 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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When using BeautifulSoup in Python to parse HTML or XML with identical tags, you can use various methods to extract the desired information. One common approach is to use the find_all method along with additional criteria to narrow down the selection.
Here's an example of how you can parse identical tags with BeautifulSoup:
from bs4 import BeautifulSoup
html_content = """
First paragraph
Second paragraph
Third paragraph
"""
soup = BeautifulSoup(html_content, 'html.parser')
# Find all paragraphs within the div with class="example"
div_example = soup.find('div', class_='example')
if div_example:
paragraphs = div_example.find_all('p')
# Print the text content of each paragraph
for paragraph in paragraphs:
print(paragraph.text)
else:
print("Div with class='example' not found.")
In this example, find is used to locate the div with class "example," and then find_all is used to retrieve all paragraph tags within that div. The text content of each paragraph is then printed.
You can adapt this approach to your specific HTML or XML structure. If the identical tags are nested within a specific parent element, use that parent element as a starting point for your search.
Keep in mind that identifying the elements you want to extract may involve inspecting the HTML structure and adapting your code accordingly.
If you are parsing a site using JSoup in a Java application and you want to introduce a delay between requests to avoid being blocked or rate-limited by the website, you can use Thread.sleep to pause the execution for a specified duration. Here's a basic example
First, make sure you have the JSoup library included in your project. If you're using Maven, you can add the following dependency to your pom.xml:
org.jsoup
jsoup
1.14.3
Now, here's an example Java program using JSoup with a delay between requests:
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import java.io.IOException;
public class WebScraperWithDelay {
public static void main(String[] args) {
// Replace with the URL you want to scrape
String url = "https://example.com";
// Number of milliseconds to wait between requests
long delayMillis = 2000; // 2 seconds
try {
for (int i = 0; i < 5; i++) {
// Make the HTTP request using JSoup
Document document = Jsoup.connect(url).get();
// Process the document as needed
System.out.println("Title: " + document.title());
// Introduce a delay between requests
Thread.sleep(delayMillis);
}
} catch (IOException | InterruptedException e) {
e.printStackTrace();
}
}
}
In this example:
Jsoup.connect(url).get()
is used to make an HTTP request and retrieve the HTML document from the specified URL.Thread.sleep(delayMillis)
introduces a delay of 2 seconds between requests. You can adjust the value of delayMillis
based on your needs.If you want to integrate Selenium with BrowseEmAll, you might consider the following general steps:
Install BrowseEmAll:
Write Selenium Tests:
Configure Selenium WebDriver:
Run Tests:
Here's a basic example using Python and Selenium WebDriver (you may need to adjust the details based on the actual integration requirements and BrowseEmAll features):
from selenium import webdriver
# Configure Selenium WebDriver to use BrowseEmAll
# Example assumes BrowseEmAll executable is in the specified path
browseemall_path = '/path/to/BrowseEmAll.exe'
browser_exe = '/path/to/Chrome.exe' # Path to the Chrome browser executable
options = webdriver.ChromeOptions()
options.binary_location = browser_exe
options.add_argument('--remote-debugging-port=9222') # Specify the remote debugging port used by BrowseEmAll
# Use the BrowseEmAll executable as the ChromeDriver executable
driver = webdriver.Chrome(executable_path=browseemall_path, options=options)
# Run your Selenium tests
driver.get('https://example.com')
# Close the browser when done
driver.quit()
On smartphones, when a proxy is turned on, the corresponding indicator (the "VPN" icon) appears in the status bar. In Windows you have to go to "Settings", open "Network and Internet". Under "Proxy Server", if the item "Manual" is activated, it means that the proxy is engaged right now.
It means routing traffic from multiple devices through a single proxy server. In this way you can, for example, organize a local network in an office environment, but where all the traffic data can be viewed from the administrator's server.
What else…