Bermuda Proxy

Scraping a large number of web pages using JavaScript typically involves the use of a headless browser or a scraping library. Puppeteer is a popular headless browser library for Node.js that allows you to automate browser actions, including web scraping.

Here's a basic example using Puppeteer:

Install Puppeteer:

npm install puppeteer

Create a JavaScript script for web scraping:

const puppeteer = require('puppeteer');

async function scrapeWebPages() {
    const browser = await puppeteer.launch();
    const page = await browser.newPage();

    // Array of URLs to scrape
    const urls = ['https://example.com/page1', 'https://example.com/page2', /* add more URLs */];

    for (const url of urls) {
        await page.goto(url, { waitUntil: 'domcontentloaded' });

        // Perform scraping actions here
        const title = await page.title();
        console.log(`Title of ${url}: ${title}`);

        // You can extract other information as needed

        // Add a delay to avoid being blocked (customize the delay based on your needs)
        await page.waitForTimeout(1000);
    }

    await browser.close();
}

scrapeWebPages();

Run the script:

node your-script.js

In this example:

• Puppeteer is used to launch a headless browser and open pages.
• The urls array contains the list of web pages to scrape. You can extend this array with the URLs you need.
• Inside the loop, you can perform scraping actions using Puppeteer functions. For example, extracting data using page.title().

Keep in mind the following:

• Be aware of the legality and terms of service for web scraping on the targeted websites.
• Respect the websites' robots.txt files and use delays between requests to avoid being blocked.
• Customize the scraping logic based on the structure of the web pages you are dealing with.

Proper parsing in C# often involves using libraries that provide robust and efficient parsing capabilities. Here are examples of parsing different types of data using standard C# libraries and techniques:

Parsing JSON with Newtonsoft.Json:

Ensure you have the Newtonsoft.Json NuGet package installed.

using Newtonsoft.Json;

// Example JSON string
string jsonString = "{\"name\": \"John\", \"age\": 25}";

// Deserialize JSON string to an object
var person = JsonConvert.DeserializeObject(jsonString);

// Define the corresponding C# class
public class Person
{
    public string Name { get; set; }
    public int Age { get; set; }
}

Parsing XML with System.Xml:

using System.Xml.Linq;

// Example XML string
string xmlString = "John25";

// Parse XML string
var xmlElement = XElement.Parse(xmlString);

// Access XML elements and attributes
string name = xmlElement.Element("name").Value;
int age = int.Parse(xmlElement.Element("age").Value);

Parsing DateTime from a String:

// Example date string
string dateString = "2022-01-01";

// Parse string to DateTime
DateTime parsedDate;
if (DateTime.TryParse(dateString, out parsedDate))
{
    // Use parsedDate
    Console.WriteLine(parsedDate.ToString("yyyy-MM-dd"));
}
else
{
    Console.WriteLine("Invalid date format");
}

Parsing Integers from a String:

// Example integer string
string numberString = "123";

// Parse string to integer
if (int.TryParse(numberString, out int parsedNumber))
{
    // Use parsedNumber
    Console.WriteLine(parsedNumber);
}
else
{
    Console.WriteLine("Invalid integer format");
}

Parsing CSV Data:

You can use the TextFieldParser class from the Microsoft.VisualBasic.FileIO namespace.

using Microsoft.VisualBasic.FileIO;
using System.IO;

// Example CSV file path
string csvFilePath = "example.csv";

// Parse CSV file
using (TextFieldParser parser = new TextFieldParser(csvFilePath))
{
    parser.TextFieldType = FieldType.Delimited;
    parser.SetDelimiters(",");

    while (!parser.EndOfData)
    {
        // Read current line
        string[] fields = parser.ReadFields();

        // Process fields
        foreach (string field in fields)
        {
            Console.Write(field + " ");
        }
        Console.WriteLine();
    }
}

Always handle exceptions appropriately when parsing, especially when dealing with user input or data from external sources.

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.

In simple terms, it is a logically separated part of the main local or public network. It is through it that many users can use a proxy through a single server at the same time. Each connection is allocated to a separate subnet.

There are HTTP proxy, FTP proxy, SOCKS proxy, SMTP proxy, CGI proxy. They differ only in the data transmission protocol used and the purpose for which they are used. For example, SMTP proxy allows you to organize a secure server for e-mail.