Mac Proxy Servers

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 tool that exists to run Selenium tests in headless mode is called "Headless Browsers". Headless browsers are browser automation tools that run without a graphical user interface (GUI). They are typically used for testing web applications without the need for a visible browser window. Some popular headless browsers include:

It's important to note that the specific implementation of running Selenium tests in headless mode may vary depending on the browser and the version of the Selenium WebDriver being used.

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.

To install a proxy server in Google Chrome, you must do the following steps:

Open the browser.
Click the "?" icon in the upper right corner.
Go to "Settings".
Select the "Advanced" option.
Click the "System" tab.
Click on "Open proxy settings for your computer".
Click on "Network settings".
Activate the "Use proxy server" option.
In the tab that opens, specify the IP address of the proxy server. You must enter the address in the field of the protocol to which the proxy server belongs. You can get this information from the provider. Click the "OK" button to save your settings.

When using a proxy, Google Chrome warns the user about it at startup. To connect directly, you must disable proxies at system level. That is, go to "Settings" Windows, then - "Network and Internet", in the section "Proxy server" disable the corresponding item.