IP | Country | PORT | ADDED |
---|---|---|---|
50.174.7.159 | us | 80 | 5 minutes ago |
50.171.187.51 | us | 80 | 5 minutes ago |
50.172.150.134 | us | 80 | 5 minutes ago |
50.223.246.238 | us | 80 | 5 minutes ago |
67.43.228.250 | ca | 16555 | 5 minutes ago |
203.99.240.179 | jp | 80 | 5 minutes ago |
50.219.249.61 | us | 80 | 5 minutes ago |
203.99.240.182 | jp | 80 | 5 minutes ago |
50.171.187.50 | us | 80 | 5 minutes ago |
62.99.138.162 | at | 80 | 5 minutes ago |
50.217.226.47 | us | 80 | 5 minutes ago |
50.174.7.158 | us | 80 | 5 minutes ago |
50.221.74.130 | us | 80 | 5 minutes ago |
50.232.104.86 | us | 80 | 5 minutes ago |
212.69.125.33 | ru | 80 | 5 minutes ago |
50.223.246.237 | us | 80 | 5 minutes ago |
188.40.59.208 | de | 3128 | 5 minutes ago |
50.169.37.50 | us | 80 | 5 minutes ago |
50.114.33.143 | kh | 8080 | 5 minutes ago |
50.174.7.155 | us | 80 | 5 minutes ago |
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JSON scraping typically involves extracting data from a JSON response obtained from an API. When you mention doing JSON scraping sequentially, it could mean processing items in the JSON response one after another. Below is a simple example in Python that demonstrates sequential processing of JSON data:
import requests
def fetch_data(url):
response = requests.get(url)
return response.json()
def process_item(item):
# Replace this with your actual processing logic
print("Processing item:", item)
def scrape_sequentially(api_url):
data = fetch_data(api_url)
# Assuming the JSON response is a list of items
if isinstance(data, list):
for item in data:
process_item(item)
else:
print("Invalid JSON format. Expected a list of items.")
# Replace 'https://example.com/api/data' with the actual API URL
api_url = 'https://example.com/api/data'
scrape_sequentially(api_url)
In this example:
fetch_data
function sends a GET request to the specified API URL and returns the JSON response.process_item
function represents the logic you want to apply to each item in the JSON response.scrape_sequentially
function fetches the JSON data, checks if it's a list, and then iterates through each item, applying the processing logic sequentially.Make sure to replace the placeholder URL 'https://example.com/api/data'
with the actual URL of the API you want to scrape.
To realize receiving and transmitting UDP packets in different threads for parallel work in Java, you can use the DatagramSocket class along with the Thread class to create separate threads for receiving and transmitting. Here's an example of a simple UDP server that handles receiving and transmitting in different threads:
import java.net.*;
import java.io.*;
public class ParallelUDPServer {
private static final int PORT = 12345;
public static void main(String[] args) throws IOException {
// Create a DatagramSocket for receiving UDP packets
DatagramSocket receiveSocket = new DatagramSocket(PORT);
// Create a thread for receiving UDP packets
Thread receiveThread = new Thread(() -> {
byte[] receiveBuffer = new byte[1024];
while (true) {
DatagramPacket receivePacket = new DatagramPacket(receiveBuffer, receiveBuffer.length);
try {
receiveSocket.receive(receivePacket);
processReceivePacket(receivePacket);
} catch (IOException e) {
e.printStackTrace();
}
}
});
// Create a thread for transmitting UDP packets
Thread transmitThread = new Thread(() -> {
while (true) {
// Simulate sending UDP packets to a client
sendUDPPacket("Hello from the server!", "127.0.0.1", 6789);
try {
Thread.sleep(5000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
});
// Start the threads
receiveThread.start();
transmitThread.start();
}
private static void processReceivePacket(DatagramPacket packet) {
byte[] data = packet.getData();
int length = packet.getLength();
InetAddress address = packet.getAddress();
int port = packet.getPort();
System.out.println("Received packet:");
for (int i = 0; i < length; i++) {
System.out.print(data[i] + " ");
}
System.out.println();
System.out.println("From: " + address + ":" + port);
}
private static void sendUDPPacket(String message, String host, int port) throws IOException {
byte[] sendData = message.getBytes();
DatagramPacket sendPacket = new DatagramPacket(sendData, sendData.length, InetAddress.getByName(host), port);
DatagramSocket socket = new DatagramSocket();
socket.send(sendPacket);
socket.close();
}
}
In this example, the ParallelUDPServer class creates two threads: one for receiving UDP packets (receiveThread) and another for transmitting UDP packets (transmitThread).
A proxy address is the URL or IP address of a proxy server. It is the destination that a client's request is forwarded to, instead of directly to the intended website or server. When a client wants to access a website or resource, the request is sent to the proxy server instead. The proxy server then fetches the requested content and returns it to the client.
Proxy servers are of the following types:
FTP proxy designed to send data to FTP servers.
CGI proxy, which is used to browse web services in a browser. You do not need to configure any settings. All actions are performed anonymously. Often such proxies are designed in the form of a page where you have to specify the address of a desired site.
SMTP, POP3 and IMAP proxy are designed for sending and receiving email.
HTTP and HTTPS proxies are for scrolling web services.
Socks proxy are used as an anonymizer. No one will know about the user's actions.
You can bypass the blocking of the messenger by using the built-in proxy server in the application. To do this, go to "Settings" and then to the section "Data and storage". Here, in the "Proxy settings" tab, you will find the "Add proxy" item. A shield icon on the top line of the menu will indicate that the proxy is enabled.
What else…