IP | Country | PORT | ADDED |
---|---|---|---|
72.10.160.173 | ca | 23139 | 37 minutes ago |
50.169.37.50 | us | 80 | 37 minutes ago |
50.174.7.157 | us | 80 | 37 minutes ago |
178.128.200.87 | de | 80 | 37 minutes ago |
203.99.240.179 | jp | 80 | 37 minutes ago |
50.239.72.16 | us | 80 | 37 minutes ago |
195.23.57.78 | pt | 80 | 37 minutes ago |
50.217.226.42 | us | 80 | 37 minutes ago |
50.174.7.152 | us | 80 | 37 minutes ago |
50.174.7.162 | us | 80 | 37 minutes ago |
50.223.246.226 | us | 80 | 37 minutes ago |
194.219.134.234 | gr | 80 | 37 minutes ago |
78.128.124.108 | bg | 5678 | 37 minutes ago |
50.217.226.40 | us | 80 | 37 minutes ago |
50.175.212.76 | us | 80 | 37 minutes ago |
50.175.212.74 | us | 80 | 37 minutes ago |
50.174.7.153 | us | 80 | 37 minutes ago |
50.172.75.127 | us | 80 | 37 minutes ago |
50.174.7.154 | us | 80 | 37 minutes ago |
50.239.72.19 | us | 80 | 37 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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Yes, it is possible to access blocked YouTube or channels unavailable in a certain country using a proxy.
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.
If you can't download images in Scrapy:
- Check the image pipeline configuration in settings.py.
- Verify HTTPS compatibility and install the certifi package if necessary.
- Confirm the correctness of XPath or CSS selectors for image URLs.
- Ensure image URLs are in the correct format; log URLs for inspection.
- Handle redirects by setting REDIRECT_ENABLED = True.
- Check and set appropriate HTTP headers in your Scrapy spider.
- Adjust the CONCURRENT_REQUESTS setting to avoid server restrictions.
- Verify correct configuration of the ImagesPipeline.
- Inspect the downloaded images in the specified IMAGES_STORE directory.
- Implement exception handling in your spider to catch download errors.
Scrapy does support multiple cookies in requests. If you're facing issues:
- Ensure correct cookie syntax (cookies parameter in Request).
- Check for unique cookie names; conflicts may occur.
- Verify cookies match the request domain and path.
- Check cookie expiry dates.
- Some websites may filter or reject requests with multiple cookies.
- Manage sessions and middleware carefully.
- Enable Scrapy logging at DEBUG level for more details.
- Use Scrapy's CookieJar for managing cookies.
Shared proxies should be understood as IPs and port numbers available to everyone. That is, many users can use them simultaneously. The most unreliable and slowest option.
What else…