IP | Country | PORT | ADDED |
---|---|---|---|
50.217.226.41 | us | 80 | 23 minutes ago |
209.97.150.167 | us | 3128 | 23 minutes ago |
50.174.7.162 | us | 80 | 23 minutes ago |
50.169.37.50 | us | 80 | 23 minutes ago |
190.108.84.168 | pe | 4145 | 23 minutes ago |
50.174.7.159 | us | 80 | 23 minutes ago |
72.10.160.91 | ca | 29605 | 23 minutes ago |
50.171.122.27 | us | 80 | 23 minutes ago |
218.252.231.17 | hk | 80 | 23 minutes ago |
50.220.168.134 | us | 80 | 23 minutes ago |
50.223.246.238 | us | 80 | 23 minutes ago |
185.132.242.212 | ru | 8083 | 23 minutes ago |
159.203.61.169 | ca | 8080 | 23 minutes ago |
50.223.246.239 | us | 80 | 23 minutes ago |
47.243.114.192 | hk | 8180 | 23 minutes ago |
50.169.222.243 | us | 80 | 23 minutes ago |
72.10.160.174 | ca | 1871 | 23 minutes ago |
50.174.7.152 | us | 80 | 23 minutes ago |
50.174.7.157 | us | 80 | 23 minutes ago |
50.174.7.154 | us | 80 | 23 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.
Quick and easy integration.
Full control and management of proxies via API.
Extensive documentation for a quick start.
Compatible with any programming language that supports HTTP requests.
Ready to improve your product? Explore our API and start integrating today!
And 500+ more programming tools and languages
If you are interested in a quality and fast proxy server, do not look for it among the free options. All of them, although they seem to be profitable, in fact do not differ in duration of work and speed. It is recommended to buy quality proxies from reputable proxy service providers that are widely available on the Internet.
A DNS server is a remote computer that receives a domain request from a user device. And it converts it into an IP address. Sometimes it is through the DNS-server that ISPs block sites. And DNS-proxy, respectively, allows you to bypass these restrictions completely.
To reduce constant repetition of find_element() in Selenium, you can use the following techniques:
Store elements in variables:
When you locate an element once, store it in a variable and reuse it throughout the script. This reduces the need to call find_element() multiple times.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Store the element in a variable
element = driver.find_element(By.ID, "element-id")
# Reuse the element
element.click()
Use loops and lists:
If you need to interact with multiple elements, store them in a list and use a loop to iterate through the elements.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Find all elements and store them in a list
elements = driver.find_elements(By.CLASS_NAME, "element-class")
# Iterate through the list and interact with each element
for element in elements:
element.click()
Use explicit waits:
Use explicit waits to wait for an element to become available or visible before interacting with it. This reduces the need to call find_element() multiple times, as the script will wait for the element to be ready.
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Wait for the element to become visible
wait = WebDriverWait(driver, 10)
visible_element = wait.until(EC.visibility_of_element_located((By.ID, "element-id")))
# Interact with the element
visible_element.click()
Use the all_elements_available attribute:
The all_elements_available attribute is available in some browser drivers, such as ChromeDriver. It returns a list of all elements that match the given selector. You can use this attribute to interact with multiple elements without using loops.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://www.example.com")
# Get a list of all elements that match the selector
elements = driver.find_elements(By.CLASS_NAME, "element-class")
# Interact with each element
for element in elements:
element.click()
Remember to replace "https://www.example.com", "element-id", "element-class", and other elements with the actual values for the website you are working with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.
In Qt, you can use the QUdpSocket class to handle incoming UDP packets and the QDataStream class to parse the QByteArray into a bitfield structure. Here's an example of how to accept and parse a UDP QByteArray into a bitfield structure in Qt:
1. First, create a structure to represent the bitfield:
struct Bitfield {
unsigned int field1 : 8;
unsigned int field2 : 8;
unsigned int field3 : 8;
unsigned int field4 : 8;
};
2. Next, create a QUdpSocket object and bind it to a specific port:
QUdpSocket udpSocket;
if (!udpSocket.bind(QHostAddress::Any, 12345)) {
qDebug() << "Failed to bind UDP socket:" << udpSocket.errorString();
return;
}
3. In the readyRead() slot, accept incoming UDP packets and parse the QByteArray:
void MyClass::handleIncomingDatagram() {
QByteArray datagram = udpSocket.receiveDatagram();
QDataStream dataStream(&datagram, QIODevice::ReadOnly);
Bitfield bitfield;
dataStream >> bitfield;
// Process the bitfield structure as needed
qDebug() << "Received bitfield:" << bitfield.field1 << "," << bitfield.field2 << "," << bitfield.field3 << "," << bitfield.field4;
}
4. Finally, connect the readyRead() signal to the handleIncomingDatagram() slot:
connect(&udpSocket, &QUdpSocket::readyRead, this, &MyClass::handleIncomingDatagram);
In this example, the handleIncomingDatagram() slot is called whenever a new UDP packet is received. The slot accepts the incoming datagram, parses it into a bitfield structure using QDataStream, and processes the bitfield as needed.
Make sure to include the necessary headers in your code:
#include
#include
#include
#include
This example assumes that the incoming UDP packet contains exactly 4 bytes, which is enough to store the bitfield structure. If the packet contains more data, you'll need to handle it accordingly.
It depends on the purpose for which you plan to work with proxies at all. Personally, one is enough for myself. But if you plan to do massive parsing, it may not be enough to have 100 pieces.
What else…