Proxy Zandvliet

The most convenient way is to use online proxy checkers, i.e. services that test all connection capabilities, including supported protocols. For example, Hidemy.name or Securitylab. As for applications, you can recommend SocksChain or Open Proxy Checker.

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.

If PyCharm is not recognizing the Selenium library, there are a few steps you can take to resolve the issue

1. Check Project Interpreter

Ensure that you have the correct Python interpreter selected for your project. Open PyCharm, go to File > Settings > Project > Project Interpreter. Make sure that the interpreter you are using has Selenium installed.

2. Install Selenium

Install the Selenium library if you haven't done so. You can install it using the following pip command in your terminal or command prompt:

pip install selenium

3. PyCharm Reindexing:

   • Sometimes, PyCharm may not automatically recognize installed packages. Try restarting PyCharm, and it will perform a reindexing of your project. This may resolve the issue.

4. Virtual Environment:

   • If you are using a virtual environment, make sure it is activated. PyCharm should recognize the packages installed within the virtual environment.

5. PyCharm Cache:

   • Clear PyCharm's cache. Go to File > Invalidate Caches / Restart... and select "Invalidate and Restart." This will clear the caches and restart PyCharm.

6. Check Project Structure:

   • Verify that your project structure is set up correctly. The directory containing your Selenium scripts should be marked as the source root. Right-click on the directory and select Mark Directory as > Sources Root.

7. Check Python Path:

   • Verify that the Python path in PyCharm matches the path where Selenium is installed. You can check this in the Project Interpreter settings.

8. Check for Typos:

   • Ensure there are no typos or mistakes in your code. PyCharm might not recognize the library if there are syntax errors or import issues.

9. PyCharm Plugin:

   • Check if you have a PyCharm plugin related to Selenium. Some plugins provide additional support for Selenium. Make sure it is installed and enabled.

10. Update PyCharm:

    • Ensure that you are using the latest version of PyCharm. Updating to the latest version may resolve compatibility issues.

11. Recreate Virtual Environment (if applicable):

    • If you are using a virtual environment, try recreating it. Activate the new virtual environment and install Selenium again.

After going through these steps, PyCharm should recognize the Selenium library. If the issue persists, double-check your project configuration and make sure there are no conflicting settings or issues with your Python environment.

"Proxy status prohibited" is a message or notification that indicates your current connection method, using a proxy server, is not allowed or supported by the platform or service you are trying to access. Proxy servers are intermediary servers that route your internet traffic through them, often used for privacy, security, or bypassing geographical restrictions.

When you see a message like "Proxy status prohibited," it means that the platform or service you are trying to access has detected that you are using a proxy server and has blocked or restricted your access as a result. This is often done to prevent abuse, spam, or other malicious activities that could compromise the platform's security or user experience.

To resolve this issue, you may need to disable the proxy server on your device or use a different connection method that is allowed by the platform or service. If you are using the proxy server for legitimate purposes, such as privacy or security, you may also want to consider using a Virtual Private Network (VPN) instead, as VPNs can provide similar benefits without being blocked by most platforms or services.

A DNS server is a remote computer that receives a domain request from a user device. And it converts it into an IP address. Sometimes it is through the DNS-server that ISPs block sites. And DNS-proxy, respectively, allows you to bypass these restrictions completely.