IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 28 minutes ago |
50.168.72.114 | us | 80 | 28 minutes ago |
50.207.199.84 | us | 80 | 28 minutes ago |
50.172.75.123 | us | 80 | 28 minutes ago |
50.168.72.122 | us | 80 | 28 minutes ago |
194.219.134.234 | gr | 80 | 28 minutes ago |
50.172.75.126 | us | 80 | 28 minutes ago |
50.223.246.238 | us | 80 | 28 minutes ago |
178.177.54.157 | ru | 8080 | 28 minutes ago |
190.58.248.86 | tt | 80 | 28 minutes ago |
185.132.242.212 | ru | 8083 | 28 minutes ago |
62.99.138.162 | at | 80 | 28 minutes ago |
50.145.138.156 | us | 80 | 28 minutes ago |
202.85.222.115 | cn | 18081 | 28 minutes ago |
120.132.52.172 | cn | 8888 | 28 minutes ago |
47.243.114.192 | hk | 8180 | 28 minutes ago |
218.252.231.17 | hk | 80 | 28 minutes ago |
50.175.123.233 | us | 80 | 28 minutes ago |
50.175.123.238 | us | 80 | 28 minutes ago |
50.171.122.27 | us | 80 | 28 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.
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Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.
Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:
import urllib.request
def scrape_website(url):
try:
# Make an HTTP request
response = urllib.request.urlopen(url)
# Read the HTML content
html_content = response.read().decode('utf-8')
# Extract the title using string manipulation
title_start = html_content.find('') + len('')
title_end = html_content.find(' ', title_start)
title = html_content[title_start:title_end].strip()
return title
except Exception as e:
print(f"Error: {e}")
return None
# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)
if scraped_title:
print(f"Scraped title: {scraped_title}")
else:
print("Scraping failed.")
Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.
Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.
Sending large files over UDP can be a bit tricky because UDP does not guarantee delivery, order, or even that packets won't be duplicated. However, it is possible to send large files using UDP by breaking the file into smaller chunks and sending each chunk separately. Here's a step-by-step guide on how to do it in Python:
1. Import necessary libraries:
import os
import socket
import pickle
2. Define a function to serialize the file data:
def serialize_file_data(file_data):
return pickle.dumps(file_data)
3. Create a UDP socket:
def create_udp_socket(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((host, port))
return sock
4. Send the file data over UDP:
def send_file(sock, file_data, host, port):
serialized_file_data = serialize_file_data(file_data)
sock.sendto(serialized_file_data, (host, port))
5. Define a function to deserialize the file data:
def deserialize_file_data(file_data):
return pickle.loads(file_data)
6. Create a function to receive the file data:
def receive_file(sock, host, port):
while True:
data, addr = sock.recvfrom(4096)
file_data = deserialize_file_data(data)
yield file_data
7. Putting it all together:
if __name__ == "__main__":
file_path = "large_file.txt"
host, port = "127.0.0.1", 12345
sock = create_udp_socket(host, port)
send_file(sock, file_path, host, port)
On the receiving side, you will need to collect all the received file data and save it to a file.
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.
In the ps4 settings, go to "Network" and click on "Establish an Internet connection". In the window that appears, select "How to connect to the network" and check your option: Wi-Fi or Lan. When selecting the connection method, check "Special", and when setting the IP address, click on "Automatic". After that, under "Proxy Server", select "Use", enter the IP address, the port of the proxy server and press "Enter".
In Key Collector settings, the user can specify parameters of the proxy server through which the program will connect to the network. In the application window, first select "Settings", then go to the "Network" tab and check "Use proxy". Its parameters can be set either manually or through a configuration file.
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