Lesotho Proxy

Data parsing in most cases refers to the collection of technical or other information. For example, a local proxy server can be used for parsing "log data". That is, information about the work of the site, the application, which in the future will be useful for developers to find and fix various bugs.

To quickly scrape a large number of sites using Node.js, you can leverage asynchronous programming and utilize libraries like axios for making HTTP requests and cheerio for parsing HTML. Additionally, you may consider using the p-queue library to manage the concurrency and control the rate of requests. Here's a basic example to get you started

Install Required Packages:

npm install axios cheerio p-queue

Create a Scraper Script:

const axios = require('axios');
const cheerio = require('cheerio');
const PQueue = require('p-queue');

// List of sites to scrape
const sites = [
  'https://example1.com',
  'https://example2.com',
  // Add more URLs as needed
];

// Set the concurrency level (adjust as needed)
const concurrency = 5;

// Initialize a queue with concurrency control
const queue = new PQueue({ concurrency });

// Function to scrape a single site
async function scrapeSite(url) {
  try {
    const response = await axios.get(url);
    const $ = cheerio.load(response.data);

    // Use Cheerio to parse and extract data
    const title = $('title').text();
    console.log(`Scraped ${url} - Title: ${title}`);
  } catch (error) {
    console.error(`Error scraping ${url}: ${error.message}`);
  }
}

// Enqueue scraping tasks for each site
sites.forEach((site) => {
  queue.add(() => scrapeSite(site));
});

// Wait for all tasks to complete
queue.onIdle().then(() => {
  console.log('All scraping tasks completed.');
});

This example uses axios for making HTTP requests, cheerio for HTML parsing, and p-queue for controlling concurrency.

Run the Script:

node your_scraper_script.js

Adjust the sites array with the URLs you want to scrape.

This example uses a simple queue system to control the number of concurrent requests, preventing potential issues with rate limiting or overwhelming the target websites. However, be mindful of the websites' terms of service and robots.txt rules to avoid scraping restrictions.

Error 500 usually indicates an internal server error. When you're getting this error while querying /wd/hub/sessions to Docker Selenium, it might be due to several reasons. Here are some steps you can take to troubleshoot and resolve the issue:

Check logs: Inspect the logs of the Selenium server container to get more information about the error. You can do this by running the following command:

docker logs 

Replace with the actual name or ID of your Selenium server container.

Verify configuration: Ensure that your Selenium server configuration is correct. Make sure that the hub and node containers are properly set up and can communicate with each other. Check the port mappings and network settings.

Update versions: Make sure you are using compatible versions of Selenium server, WebDriver, and any other related libraries or tools. Sometimes, compatibility issues can cause unexpected errors.

Resource constraints: Check if your system has enough resources (CPU, memory, and disk space) to run the Selenium server and nodes. If your system is running out of resources, it might cause the server to return an error.

Firewall or network issues: Ensure that there are no firewall rules or network configurations that might be blocking the communication between the hub and node containers.

Restart containers: If none of the above steps help, try restarting the Selenium server and node containers. This can sometimes resolve temporary issues.

If you continue to face the issue, please provide more information about your setup, including the versions of Selenium server, WebDriver, and any other related libraries or tools you are using. This will help in providing more specific guidance to resolve the issue.

Go to "Settings" of the torrent, and then in the settings menu, select the subsection "Connection", which contains network connection settings. Under "Proxy" choose the type of your proxy (Socks5 proxy is recommended), then enter the IP address and proxy port in the appropriate fields, then click "Change". Now everything is ready - the torrent works through a proxy server.

In Windows 10 you need to go to "Settings", go to "Network and Internet", open the tab "Proxy" and make the necessary settings for the connection (under "Manual", the item should also be made active).