IP | Country | PORT | ADDED |
---|---|---|---|
213.143.113.82 | at | 80 | 10 minutes ago |
41.230.216.70 | tn | 80 | 10 minutes ago |
82.119.96.254 | sk | 80 | 10 minutes ago |
50.175.123.235 | us | 80 | 10 minutes ago |
72.10.160.91 | ca | 12411 | 10 minutes ago |
50.168.61.234 | us | 80 | 10 minutes ago |
203.99.240.182 | jp | 80 | 10 minutes ago |
50.231.110.26 | us | 80 | 10 minutes ago |
50.171.122.28 | us | 80 | 10 minutes ago |
183.240.46.42 | cn | 80 | 10 minutes ago |
62.99.138.162 | at | 80 | 10 minutes ago |
80.120.130.231 | at | 80 | 10 minutes ago |
50.175.123.232 | us | 80 | 10 minutes ago |
50.223.246.237 | us | 80 | 10 minutes ago |
190.58.248.86 | tt | 80 | 10 minutes ago |
105.214.49.116 | za | 5678 | 10 minutes ago |
50.218.208.13 | us | 80 | 10 minutes ago |
50.207.199.80 | us | 80 | 10 minutes ago |
50.145.138.156 | us | 80 | 10 minutes ago |
203.99.240.179 | jp | 80 | 10 minutes ago |
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And it depends on what purpose the proxy is used for. But you should definitely give preference to paid proxies. They are more reliable, always available, and with that comes a guarantee of privacy. Unfortunately, personal data is often stolen from free proxies.
To scrape an image using Selenium in C#, you can find the image element on the web page and then retrieve the image source (URL) or download the image file. Here's a simple example:
using System;
using OpenQA.Selenium;
using OpenQA.Selenium.Chrome;
class Program
{
static void Main()
{
// Set up the Chrome WebDriver
using (var driver = new ChromeDriver())
{
// Navigate to the web page containing the image
driver.Navigate().GoToUrl("https://example.com");
// Find the image element (replace with your actual locator)
IWebElement imageElement = driver.FindElement(By.XPath("//img[@id='your_image_id']"));
// Get the source URL of the image
string imageUrl = imageElement.GetAttribute("src");
Console.WriteLine("Image Source URL: " + imageUrl);
// Download the image (optional)
DownloadImage(imageUrl);
}
}
// Function to download the image
static void DownloadImage(string imageUrl)
{
using (var webClient = new System.Net.WebClient())
{
// Replace "downloaded_image.jpg" with your desired file name
webClient.DownloadFile(imageUrl, "downloaded_image.jpg");
Console.WriteLine("Image Downloaded Successfully.");
}
}
}
In this example:
The Chrome WebDriver is set up.
The program navigates to a web page (replace "https://example.com" with the actual URL).
The image element is located using a locator (replace "//img[@id='your_image_id']" with the actual XPath or other locator for your image).
The source URL of the image is retrieved using GetAttribute("src").
Optionally, the DownloadImage function is called to download the image using WebClient. Adjust the file name and path as needed.
To read a video stream received via UDP, you can follow these steps:
1. Choose a programming language: Python, C++, Java, or any other language that supports UDP communication.
2. Set up a UDP server: Create a UDP server that listens for incoming video stream data. This server will receive the video stream packets and store them in memory or on disk.
3. Parse the UDP packets: The video stream data will be sent in a series of UDP packets. You will need to parse these packets to extract the video frames and reassemble them into a complete video stream.
4. Decode the video frames: Once you have the video frames, you need to decode them to convert them from their compressed format (e.g., H.264, MPEG-4) to a raw video format that can be displayed.
5. Display or save the video stream: After decoding the video frames, you can either display them in real-time or save them to a file for later playback.
Here's an example of how you might implement this in Python using the socket and cv2 libraries:
import socket
import cv2
import struct
# Create a UDP server socket
server_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server_socket.bind(('0.0.0.0', 12345))
# Variables to store the video stream
frame_length = 0
frame_data = b''
# Loop to receive video stream packets
while True:
data, address = server_socket.recvfrom(1024)
frame_length += struct.unpack('I', data[:4])[0]
frame_data += data[4:]
# Check if we have enough data for a complete frame
if frame_length > 0 and len(frame_data) >= frame_length:
# Extract the video frame
frame = cv2.imdecode(np.frombuffer(frame_data[:frame_length], dtype=np.uint8), cv2.IMREAD_COLOR)
# Display or save the video frame
cv2.imshow('Video Stream', frame)
cv2.waitKey(1)
# Reset variables for the next frame
frame_length = 0
frame_data = b''
Note that this is a simplified example and assumes that the video stream is using a specific protocol for packetization and framing. In practice, you will need to adapt this code to the specific format of the video stream you are receiving. Additionally, you may need to handle network errors, packet loss, and other issues that can arise during UDP communication.
The main task of these two popular technologies is to provide security for the Internet user. Despite a certain similarity of tasks, they are performed absolutely differently. Proxy, although it allows you to remain anonymous and bypass blocked sites, it is still quite vulnerable, especially when it comes to untested services. VPN in this regard looks preferable, because thanks to end-to-end encryption it reliably protects information from the entry point to the exit point.
In Windows, proxy settings for local connections are made through the "Network and Sharing Center" (from the "Control Panel"). You need to select "Browser Properties", then go to "Connections" and click on "Network Setting". And there you can set either the script or the parameters for the proxy.
What else…