IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 44 minutes ago |
50.168.72.114 | us | 80 | 44 minutes ago |
50.207.199.84 | us | 80 | 44 minutes ago |
50.172.75.123 | us | 80 | 44 minutes ago |
50.168.72.122 | us | 80 | 44 minutes ago |
194.219.134.234 | gr | 80 | 44 minutes ago |
50.172.75.126 | us | 80 | 44 minutes ago |
50.223.246.238 | us | 80 | 44 minutes ago |
178.177.54.157 | ru | 8080 | 44 minutes ago |
190.58.248.86 | tt | 80 | 44 minutes ago |
185.132.242.212 | ru | 8083 | 44 minutes ago |
62.99.138.162 | at | 80 | 44 minutes ago |
50.145.138.156 | us | 80 | 44 minutes ago |
202.85.222.115 | cn | 18081 | 44 minutes ago |
120.132.52.172 | cn | 8888 | 44 minutes ago |
47.243.114.192 | hk | 8180 | 44 minutes ago |
218.252.231.17 | hk | 80 | 44 minutes ago |
50.175.123.233 | us | 80 | 44 minutes ago |
50.175.123.238 | us | 80 | 44 minutes ago |
50.171.122.27 | us | 80 | 44 minutes ago |
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The proxy domain most often refers to the IP address where the server is located. It can only "learn" the IP address of the user when processing the traffic. But in most cases it does not store such information later for security reasons.
If you're parsing XML in Golang and the result is not being saved in the structure as expected, there might be issues with your XML parsing code. Below is a simple example demonstrating how to parse XML and save the result in a structure using the encoding/xml package in Golang.
Assuming you have the following XML structure:
John Doe
30
And you want to parse it into the following Go structure:
package main
import (
"encoding/xml"
"fmt"
)
type User struct {
Name string `xml:"name"`
Age int `xml:"age"`
}
func main() {
xmlData := `John Doe 30 `
var user User
// Unmarshal XML into the User structure
err := xml.Unmarshal([]byte(xmlData), &user)
if err != nil {
fmt.Println("Error:", err)
return
}
// Print the result
fmt.Printf("Name: %s\nAge: %d\n", user.Name, user.Age)
}
In this example:
The User struct tags (e.g., xml:"name") indicate the mapping between the XML elements and the fields in the structure.
xml.Unmarshal is used to parse the XML data and populate the User structure.
Ensure that your XML data and struct tags match correctly. If the XML structure or tags are different, you might encounter issues with parsing.
If you continue to face problems, please provide more details or your specific code for further assistance.
To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:
Install Required Packages:
pip install aiohttp
Asynchronous Scraping Script:
import asyncio
import aiohttp
async def scrape_url(session, url):
try:
async with session.get(url) as response:
if response.status == 200:
content = await response.text()
# Process the content as needed
print(f"Scraped {url}: {len(content)} characters")
else:
print(f"Failed to scrape {url}. Status code: {response.status}")
except Exception as e:
print(f"Error scraping {url}: {str(e)}")
async def main():
urls_to_scrape = [
'https://example.com/page1',
'https://example.com/page2',
# Add more URLs as needed
]
async with aiohttp.ClientSession() as session:
tasks = [scrape_url(session, url) for url in urls_to_scrape]
await asyncio.gather(*tasks)
if __name__ == "__main__":
asyncio.run(main())
scrape_url
to perform the scraping for a given URL.main
function creates an asynchronous HTTP session using aiohttp.ClientSession
and gathers the scraping tasks.asyncio.run(main())
line runs the main asynchronous function.Running the Script:
python your_scraper_script.py
This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.
Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.
In UDP, the term "connected" has a different meaning compared to TCP. Since UDP is a connectionless protocol, there is no established connection between the sender and receiver. However, you can determine if the UDP socket is in a listening state or if it has been successfully created.
To check if a UDP socket is in a listening state, you can use the socket.SOCK_DGRAM type and the bind() method. If the socket is successfully created and bound to an address and port, it will be in a listening state and ready to receive incoming UDP packets.
Here's an example using Python:
import socket
# Create a UDP socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Bind the socket to an address and port
server_address = ('localhost', 12345)
server_socket.bind(server_address)
# Check if the socket is in a listening state
print("Socket is in a listening state: ", server_socket.getsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR) == 1)
# Close the socket
server_socket.close()
In this example, the bind() method creates a UDP socket and binds it to the specified address and port. The getsockopt() method is used to retrieve the SO_REUSEADDR option, which indicates whether the socket is in a listening state. If the value is 1, the socket is in a listening state and ready to receive incoming UDP packets.
Although free proxies are popular, they are far from being flawless in their work. Many of their IP addresses are blacklisted by popular resources, and the data transfer speed and stability are very unreliable. When choosing a proxy, keep in mind that the new version of IPv6 is not supported by most websites. Note also that proxies are divided into private and public, statistical and dynamic, and support different network protocols.
What else…