IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.74 | us | 80 | 13 minutes ago |
189.202.188.149 | mx | 80 | 13 minutes ago |
50.171.187.50 | us | 80 | 13 minutes ago |
50.171.187.53 | us | 80 | 13 minutes ago |
50.223.246.226 | us | 80 | 13 minutes ago |
50.219.249.54 | us | 80 | 13 minutes ago |
50.149.13.197 | us | 80 | 13 minutes ago |
67.43.228.250 | ca | 8209 | 13 minutes ago |
50.171.187.52 | us | 80 | 13 minutes ago |
50.219.249.62 | us | 80 | 13 minutes ago |
50.223.246.238 | us | 80 | 13 minutes ago |
128.140.113.110 | de | 3128 | 13 minutes ago |
67.43.236.19 | ca | 17929 | 13 minutes ago |
50.149.13.195 | us | 80 | 13 minutes ago |
103.24.4.23 | sg | 3128 | 13 minutes ago |
50.171.122.28 | us | 80 | 13 minutes ago |
50.223.246.239 | us | 80 | 13 minutes ago |
72.10.164.178 | ca | 16727 | 13 minutes ago |
50.232.104.86 | us | 80 | 13 minutes ago |
50.172.39.98 | us | 80 | 13 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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In Node.js, you can parse JSON using the built-in JSON object or the JSON.parse() method. Here's a simple example:
// JSON string
const jsonString = '{"name": "John", "age": 30, "city": "New York"}';
// Parse JSON using JSON.parse()
try {
const jsonData = JSON.parse(jsonString);
console.log('Parsed JSON:', jsonData);
// Access individual properties
console.log('Name:', jsonData.name);
console.log('Age:', jsonData.age);
console.log('City:', jsonData.city);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
In this example:
jsonString
contains a JSON-formatted string.JSON.parse()
is used to parse the JSON string into a JavaScript object.If the JSON string is not valid, JSON.parse()
will throw an error. To handle potential errors, it's a good practice to use a try...catch
block.
If you have a JSON file and want to read and parse it in Node.js, you can use the fs
(file system) module along with JSON.parse()
. Here's an example:
const fs = require('fs');
// Read JSON file
fs.readFile('path/to/your/file.json', 'utf8', (err, data) => {
if (err) {
console.error('Error reading file:', err.message);
return;
}
// Parse JSON data
try {
const jsonData = JSON.parse(data);
console.log('Parsed JSON from file:', jsonData);
} catch (error) {
console.error('Error parsing JSON:', error.message);
}
});
Replace 'path/to/your/file.json' with the actual path to your JSON file.
Remember to handle errors appropriately, especially when dealing with file I/O operations or parsing potentially malformed JSON data.
In UDP, there is no built-in mechanism to know the size of an incoming packet before receiving it. The UDP protocol is a connectionless protocol, meaning it does not establish a connection between the sender and receiver before sending data. This makes UDP fast and efficient but also means that the receiver has no way to know the size of the incoming packet in advance.
When you receive a UDP packet, you can determine its size by examining the received data. In most programming languages, you can access the received data as a byte array or buffer. The size of the packet can be calculated by finding the length of the received data.
For example, in Python, you can use the recvfrom() function to receive a UDP packet and the len() function to calculate its size:
import socket
# Create a UDP socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Receive a UDP packet
data, address = server_socket.recvfrom(1024)
# Calculate the size of the received packet
packet_size = len(data)
print(f"Received packet of size: {packet_size} bytes")
In this example, the recvfrom() function receives a packet up to 1024 bytes in size, and the len() function calculates the length of the received data, which is the size of the packet.
Keep in mind that the maximum size of a UDP packet is limited by the maximum transmission unit (MTU) of the underlying network, which is typically 1500 bytes. However, it's always a good idea to handle cases where the received packet size exceeds your expectations, as this may indicate a packet fragmentation issue or an error in the communication.
A proxy server script address, also known as a proxy script or proxy URL, is a specific address that points to a script or a web page containing instructions for connecting to a proxy server. This script or web page can be written in various programming languages, such as PHP, Perl, or Python, and it typically contains the configuration settings and parameters required to connect to a proxy server.
When you visit a website or access an online resource, your browser or application may use a proxy server to route your traffic. In some cases, you might need to manually configure your browser or application to use a specific proxy server. To do this, you would need the proxy server's script address, which you can then enter into the appropriate settings field.
For example, you might encounter a proxy server script address in the following format:
http://:@:/
Here,
If you want to close an application running in the background while using PyQt5 and Selenium in Python, you can use the pyautogui library to simulate keyboard shortcuts or mouse clicks that trigger the application's exit action.
Here's an example using PyQt5 for the GUI and Selenium for web automation, along with pyautogui to close the application:
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton
from selenium import webdriver
import pyautogui
import sys
import time
class MyMainWindow(QMainWindow):
def __init__(self):
super(MyMainWindow, self).__init__()
# Create a button to close the application
self.close_button = QPushButton("Close Application", self)
self.close_button.clicked.connect(self.close_application)
def close_application(self):
# Add code here to close the application or trigger the exit action
print("Closing application")
if __name__ == '__main__':
# Create the PyQt application
app = QApplication(sys.argv)
main_window = MyMainWindow()
main_window.show()
# Start the Selenium WebDriver
driver = webdriver.Chrome()
try:
# Navigate to a webpage (you can replace this with your Selenium code)
driver.get("https://example.com")
# Simulate a user interacting with the application
# ...
# Simulate closing the application using pyautogui
time.sleep(2) # Wait for the application to be in focus
pyautogui.hotkey('alt', 'f4') # Simulate pressing Alt+F4 to close the active window
finally:
# Close the Selenium WebDriver
driver.quit()
# Start the PyQt application event loop
sys.exit(app.exec_())
- The MyMainWindow class is a basic PyQt5 window with a button.
- The close_application method is connected to the button's click event and prints a message.
- After starting the Selenium WebDriver, you can simulate user interactions with the application.
- pyautogui.hotkey('alt', 'f4') simulates pressing Alt+F4, a common keyboard shortcut to close the active window.
There are several options for its use: bypassing the blocking of websites, shopping in foreign online stores at regional (local) prices, access to a full library of media content, hiding your real IP-address.
What else…