IP | Country | PORT | ADDED |
---|---|---|---|
50.217.226.41 | us | 80 | 18 minutes ago |
209.97.150.167 | us | 3128 | 18 minutes ago |
50.174.7.162 | us | 80 | 18 minutes ago |
50.169.37.50 | us | 80 | 18 minutes ago |
190.108.84.168 | pe | 4145 | 18 minutes ago |
50.174.7.159 | us | 80 | 18 minutes ago |
72.10.160.91 | ca | 29605 | 18 minutes ago |
50.171.122.27 | us | 80 | 18 minutes ago |
218.252.231.17 | hk | 80 | 18 minutes ago |
50.220.168.134 | us | 80 | 18 minutes ago |
50.223.246.238 | us | 80 | 18 minutes ago |
185.132.242.212 | ru | 8083 | 18 minutes ago |
159.203.61.169 | ca | 8080 | 18 minutes ago |
50.223.246.239 | us | 80 | 18 minutes ago |
47.243.114.192 | hk | 8180 | 18 minutes ago |
50.169.222.243 | us | 80 | 18 minutes ago |
72.10.160.174 | ca | 1871 | 18 minutes ago |
50.174.7.152 | us | 80 | 18 minutes ago |
50.174.7.157 | us | 80 | 18 minutes ago |
50.174.7.154 | us | 80 | 18 minutes ago |
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In the main window of the program, select "Advanced", then "Options". In the "Basic" section, there is the "Proxy settings" item. Click on "Configuration" and enter the server address, port number, protocol type used and so on.
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.
Using UDP, you can request data from a server by sending a request message to the server. Since UDP is a connectionless protocol, you need to know the server's IP address and port to send the request. The server should have a predefined mechanism to handle incoming requests and return the desired data as a response.
Here's a high-level overview of how to request data from a server using UDP:
1. Prepare your request message: Create a message containing the data you want to request from the server. The format of the message depends on the specific application and data you're working with.
2. Send the request message to the server: Use a UDP socket to send the request message to the server's IP address and port. The server should be listening for incoming UDP packets on that address and port.
3. Receive the response from the server: The server processes the incoming request and sends back a response. Use a UDP socket to receive the response on the same or a different port, depending on the application's requirements.
4. Process the response: Extract the desired data from the response and process it as needed.
Here's an example using Python:
import socket
# Prepare the request message
request_message = b"REQUEST_DATA"
# Create a UDP socket
client_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
# Send the request message to the server
server_address = ('127.0.0.1', 12345)
client_socket.sendto(request_message, server_address)
# Receive the response from the server
response_message, server_address = client_socket.recvfrom(1024)
# Process the response
print(f"Received response: {response_message}")
# Close the socket
client_socket.close()
In this example, the sendto() function sends a request message to the server, and the recvfrom() function receives the response from the server. The server should be running and listening for incoming UDP packets on the specified address and port.
Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.
If your proxy gives you a 504 error, it means the server failed to complete the request within the time period you specified. Refreshing the page may help. Another option is to switch to another browser. You can also use the incognito mode, pre-clearing the browser cache. Pay attention to plug-ins that can also cause this error.
What else…