IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 29 minutes ago |
50.168.72.114 | us | 80 | 29 minutes ago |
50.207.199.84 | us | 80 | 29 minutes ago |
50.172.75.123 | us | 80 | 29 minutes ago |
50.168.72.122 | us | 80 | 29 minutes ago |
194.219.134.234 | gr | 80 | 29 minutes ago |
50.172.75.126 | us | 80 | 29 minutes ago |
50.223.246.238 | us | 80 | 29 minutes ago |
178.177.54.157 | ru | 8080 | 29 minutes ago |
190.58.248.86 | tt | 80 | 29 minutes ago |
185.132.242.212 | ru | 8083 | 29 minutes ago |
62.99.138.162 | at | 80 | 29 minutes ago |
50.145.138.156 | us | 80 | 29 minutes ago |
202.85.222.115 | cn | 18081 | 29 minutes ago |
120.132.52.172 | cn | 8888 | 29 minutes ago |
47.243.114.192 | hk | 8180 | 29 minutes ago |
218.252.231.17 | hk | 80 | 29 minutes ago |
50.175.123.233 | us | 80 | 29 minutes ago |
50.175.123.238 | us | 80 | 29 minutes ago |
50.171.122.27 | us | 80 | 29 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
To check if your computer uses a proxy-server, you just need to use any browser (Yandex Browser, Opera, Google Chrome). Then you need to follow the algorithm:
Start your browser.
Go to "Settings".
In the search box enter the query "proxy".
Click on "Proxy settings".
In the tab that opens, select "Network settings".
This will open a tab with the IP address and port of the proxy server, if it is used. If the function is disabled, the line will be empty, and the option itself is disabled.
This depends directly on how the proxy server works. Some of them do not require any authorization at all, others require username and password for access, and others require you to view ads and so on. Which option will be used depends directly on the service that provides access to the proxy server.
Shared proxies should be understood as IPs and port numbers available to everyone. That is, many users can use them simultaneously. The most unreliable and slowest option.
Building a chain of proxies in Selenium involves configuring a WebDriver with a Proxy object that represents a chain of proxies. Here's an example using Python with Selenium and the Chrome WebDriver:
from selenium import webdriver
from selenium.webdriver.common.proxy import Proxy, ProxyType
# Create a Proxy object for the first proxy in the chain
proxy1 = Proxy()
proxy1.http_proxy = "http://proxy1.example.com:8080"
proxy1.ssl_proxy = "http://proxy1.example.com:8080"
proxy1.proxy_type = ProxyType.MANUAL
# Create a Proxy object for the second proxy in the chain
proxy2 = Proxy()
proxy2.http_proxy = "http://proxy2.example.com:8080"
proxy2.ssl_proxy = "http://proxy2.example.com:8080"
proxy2.proxy_type = ProxyType.MANUAL
# Create a Proxy object for the final proxy in the chain
proxy3 = Proxy()
proxy3.http_proxy = "http://proxy3.example.com:8080"
proxy3.ssl_proxy = "http://proxy3.example.com:8080"
proxy3.proxy_type = ProxyType.MANUAL
# Create a chain of proxies
proxies_chain = f"{proxy1.proxy, proxy2.proxy, proxy3.proxy}"
# Set up ChromeOptions with the proxy chain
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"--proxy-server={proxies_chain}")
# Create the WebDriver with ChromeOptions
driver = webdriver.Chrome(options=chrome_options)
# Now you can use the driver with the proxy chain for your automation tasks
driver.get("https://example.com")
# Close the browser window when done
driver.quit()
In this example:
Three Proxy objects (proxy1, proxy2, and proxy3) are created, each representing a different proxy in the chain. You need to replace the placeholder URLs (http://proxy1.example.com:8080, etc.) with the actual proxy server URLs.
The ProxyType.MANUAL option is used to indicate that the proxy settings are configured manually.
The proxies_chain variable is a comma-separated string representing the chain of proxies.
The --proxy-server option is added to ChromeOptions to specify the proxy chain.
A Chrome WebDriver instance is created with the configured ChromeOptions.
Transferring a large byte array using UDP involves breaking the data into smaller chunks and sending each chunk as a separate UDP datagram. Since UDP is a connectionless protocol, there's no guarantee that the chunks will arrive in the same order they were sent. Therefore, you'll also need to send additional information to reassemble the data correctly at the receiver side.
Here's a simple example using Python to send and receive large byte arrays using UDP:
1. Sender (Python script send_large_data.py):
import socket
def send_large_data(data, host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
chunk_size = 1024
total_chunks = len(data) // chunk_size + 1
sequence_number = 0
for i in range(total_chunks):
start = sequence_number * chunk_size
end = start + chunk_size
chunk = data[start:end]
sock.sendto(chunk, (host, port))
sequence_number += 1
sock.close()
if __name__ == "__main__":
large_data = b"This is a large byte array sent using UDP." * 100
host = "127.0.0.1"
port = 12345
send_large_data(large_data, host, port)
2. Receiver (Python script receive_large_data.py):
import socket
def receive_large_data(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
chunk_size = 1024
total_chunks = 0
received_data = b""
while True:
data, address = sock.recvfrom(chunk_size)
total_chunks += 1
received_data += data
if len(received_data) >= (total_chunks - 1) * chunk_size:
break
sock.close()
return received_data
if __name__ == "__main__":
host = "127.0.0.1"
port = 12345
large_data = receive_large_data(host, port)
print("Received data:", large_data)
In this example, the sender script send_large_data.py breaks the large byte array into chunks of 1024 bytes and sends each chunk as a separate UDP datagram. The receiver script receive_large_data.py receives the chunks and reassembles them into the original byte array.
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