IP | Country | PORT | ADDED |
---|---|---|---|
50.231.110.26 | us | 80 | 37 minutes ago |
50.175.123.233 | us | 80 | 37 minutes ago |
50.169.222.242 | us | 80 | 37 minutes ago |
50.175.212.79 | us | 80 | 37 minutes ago |
50.175.123.238 | us | 80 | 37 minutes ago |
50.145.138.156 | us | 80 | 37 minutes ago |
195.23.57.78 | pt | 80 | 37 minutes ago |
213.143.113.82 | at | 80 | 37 minutes ago |
50.168.72.118 | us | 80 | 37 minutes ago |
50.218.208.13 | us | 80 | 37 minutes ago |
50.172.150.134 | us | 80 | 37 minutes ago |
50.172.88.212 | us | 80 | 37 minutes ago |
122.116.29.68 | tw | 4145 | 37 minutes ago |
85.214.107.177 | de | 80 | 37 minutes ago |
128.140.113.110 | de | 4145 | 37 minutes ago |
125.228.94.199 | tw | 4145 | 37 minutes ago |
189.202.188.149 | mx | 80 | 37 minutes ago |
213.33.126.130 | at | 80 | 37 minutes ago |
125.228.143.207 | tw | 4145 | 37 minutes ago |
41.207.187.178 | tg | 80 | 37 minutes ago |
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The proxy settings in Zoom are configured through the regular Windows settings. To do this, you can use the command inetcpl.cpl in "Run". Next, you need to go to the "Connection" tab, click on "Network Setup". In the dialog box that opens, select "Proxy server" and set the required parameters. As a port, you can use 80 and 443.
When parsing RSS feeds and avoiding duplicates, you typically need to maintain a record of previously parsed items and compare new items to this record to ensure that you don't process the same item multiple times. Below is an example using Node.js and the rss-parser library, which simplifies working with RSS feeds.
Install Dependencies
Install the required npm package:
npm install rss-parser
Write the Parsing Script
Create a Node.js script (e.g., parse_rss.js) with the following code:
const Parser = require('rss-parser');
const fs = require('fs');
const parser = new Parser();
const rssFeedUrl = 'https://example.com/rss-feed'; // Replace with the URL of the RSS feed
// Function to load and parse the previously processed items
function loadProcessedItems() {
try {
const data = fs.readFileSync('processedItems.json');
return JSON.parse(data);
} catch (error) {
return [];
}
}
// Function to save the processed items to a file
function saveProcessedItems(processedItems) {
fs.writeFileSync('processedItems.json', JSON.stringify(processedItems, null, 2));
}
async function parseRSS() {
const processedItems = loadProcessedItems();
const feed = await parser.parseURL(rssFeedUrl);
for (const item of feed.items) {
// Check if the item has been processed before
if (!processedItems.includes(item.link)) {
// Process the new item (replace with your processing logic)
console.log('New item found:', item.title);
// Add the item link to the list of processed items
processedItems.push(item.link);
}
}
// Save the updated list of processed items
saveProcessedItems(processedItems);
}
// Run the RSS parsing process
parseRSS();
Replace 'https://example.com/rss-feed' with the URL of the RSS feed you want to parse.
Run the Script
Run the script using Node.js:
node parse_rss.js
This script uses the rss-parser library to fetch and parse an RSS feed. It maintains a list of processed item links in a JSON file (processedItems.json). Each time the script runs, it loads the processed items, compares them to the new items in the feed, processes only the new items, and then updates the list of processed items.
The purpose of User Datagram Protocol (UDP) is to provide a simple and lightweight transport layer protocol for applications that do not require the reliability and overhead of the Transmission Control Protocol (TCP). UDP does not guarantee delivery, meaning it does not provide mechanisms for retransmission or acknowledgment of received packets. However, it offers fast and efficient communication, which is ideal for real-time applications such as video streaming, online gaming, and voice over IP (VoIP). These applications can tolerate some packet loss or delay and prioritize speed over reliability.
A Duplex UDP Communicator is a communication system that allows for two-way communication using User Datagram Protocol (UDP). To wait for a response from the other side, you can implement a simple client-server model. Here's a high-level overview of how to achieve this:
1. Server-side:
- Bind a UDP socket to a specific port on the server.
- Start a loop that continuously listens for incoming UDP packets.
- Receive the UDP packet and extract the data.
- Process the received data and prepare a response.
- Send the response back to the client using the client's address and port extracted from the received packet.
- Continue listening for incoming packets.
2. Client-side:
- Bind a UDP socket to a specific port on the client.
- Send a UDP packet to the server's address and port.
- Start a loop that continuously listens for incoming UDP packets.
- Receive the UDP packet and extract the data.
- Process the received data and prepare a response.
- Send the response back to the server using the server's address and port extracted from the received packet.
- Continue listening for incoming packets.
To wait for a response from the other side, you can use a simple time-based approach or a more advanced synchronization mechanism.
3. Time-based approach:
- After sending a packet, wait for a specific amount of time before expecting a response.
- If a response is received within the waiting time, process the response and proceed.
- If the waiting time elapses without receiving a response, handle the timeout and take appropriate action (e.g., retry, abort, or notify the user).
4. Synchronization mechanism:
- Include a unique identifier in each packet sent.
- When the server receives a packet, it sends back a response with the same identifier.
- The client waits for a response with the same identifier before proceeding.
- If a response with the same identifier is received, process the response and proceed.
- If a response with a different identifier is received, discard it and continue waiting for the expected response.
- If no response is received within a specific time, handle the timeout and take appropriate action.
Using a synchronization mechanism is more reliable than a time-based approach, as it ensures that the client only processes responses from the expected server. However, both methods can be effective depending on the specific use case and network conditions.
If you can't proxy requests in Scrapy:
- Verify correct proxy configuration in Scrapy settings.
- Confirm proxy functionality with external tools.
- Check for typos or errors in your code and settings.
- Ensure proxy authentication details are correct.
- Test with a direct internet connection to isolate the issue.
- Check for IP blocking by the target website.
- Confirm proper configuration of the HttpProxyMiddleware.
- Use Scrapy logging to inspect requests and responses.
- Ensure your proxy supports HTTPS if needed.
- Test with a single, static proxy for simplicity.
- Keep Scrapy and dependencies up to date.
- Consider using middleware libraries like scrapy-rotating-proxies.
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