Postman SOCKS5 Proxy

Jsoup is a Java library for working with HTML documents. To scrape links using Jsoup, you can use its selector syntax to target the anchor elements and then extract the href attributes. Here's a simple example:

import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
import org.jsoup.nodes.Element;
import org.jsoup.select.Elements;
import java.io.IOException;

public class LinkScraper {
    public static void main(String[] args) {
        String url = "https://example.com";

        try {
            // Connect to the website and get the HTML document
            Document document = Jsoup.connect(url).get();

            // Select all anchor elements
            Elements links = document.select("a");

            // Iterate over each anchor element and print the href attribute
            for (Element link : links) {
                String href = link.attr("href");
                System.out.println("Link: " + href);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

Make sure to replace the url variable with the URL of the website you want to scrape.

This example connects to the specified URL, retrieves the HTML document, selects all anchor elements using the "a" selector, and then iterates over them to print the href attributes.

You need to include the Jsoup library in your project. If you are using Maven, you can add the following dependency to your pom.xml:

    org.jsoup
    jsoup
    1.14.3 

To scrape the content of an unordered list (ul) from a web page using Node.js, you can use a combination of libraries such as axios for making HTTP requests and cheerio for HTML parsing. Here's a basic example to get you started:

Install Required Packages:

npm install axios cheerio

Create a Scraper Script:

const axios = require('axios');
const cheerio = require('cheerio');

// URL of the web page you want to scrape
const url = 'https://example.com';

// Function to scrape the content of the ul element
async function scrapeULContent(url) {
  try {
    const response = await axios.get(url);
    const $ = cheerio.load(response.data);

    // Replace 'ul-selector' with the actual CSS selector of your ul element
    const ulContent = $('ul-selector').html();

    console.log('Scraped UL Content:');
    console.log(ulContent);
  } catch (error) {
    console.error(`Error scraping UL content: ${error.message}`);
  }
}

// Call the function with the URL
scrapeULContent(url);

Replace 'ul-selector' with the actual CSS selector that matches your ul element.

Run the Script:

node your_scraper_script.js

This example uses axios to make an HTTP request to the specified URL and cheerio to load and parse the HTML content. The $('ul-selector').html() line extracts the HTML content of the ul element based on the provided CSS selector.

Make sure to inspect the web page's HTML structure to find the appropriate CSS selector for your ul element. You can use browser developer tools to inspect the page source and identify the CSS selector that targets the specific ul you want to scrape.

To save cookies in SQLite3 using Selenium, you'll need to follow these steps:

1. Install the required packages: Make sure you have Selenium and SQLite3 installed. You can install SQLite3 using pip:

pip install sqlite3

2. Connect to the SQLite3 database: Before saving cookies to SQLite3, you need to establish a connection to the database.

import sqlite3

# Connect to the SQLite3 database (or create it if it doesn't exist)
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()

# Create the cookies table if it doesn't exist
cursor.execute("""
CREATE TABLE IF NOT EXISTS cookies (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    name TEXT NOT NULL,
    value TEXT NOT NULL,
    domain TEXT NOT NULL,
    path TEXT NOT NULL,
    expiry TEXT NOT NULL
)
""")

# Commit the changes and close the connection
conn.commit()
conn.close()

3. Save cookies to SQLite3 using Selenium: In your Selenium code, you can save cookies to the SQLite3 database by iterating through the cookies in the browser and inserting them into the database.

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sqlite3

# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"

# Set the preference to save downloaded files with a specific name pattern
options = Options()
options.add_argument("download.default_directory='path/to/download/folder'")
options.add_argument(f"download.download_path='path/to/download/folder'")
options.add_preference("download.filename_template", "%f - %r")

# Initialize the Chrome WebDriver with the specified options
driver = webdriver.Chrome(executable_path=chrome_driver_path, options=options)

# Your Selenium code goes here

# Connect to the SQLite3 database
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()

# Get all cookies from the browser
cookies = driver.get_cookies()

# Insert cookies into the SQLite3 database
for cookie in cookies:
    cursor.execute("""
    INSERT INTO cookies (name, value, domain, path, expiry)
    VALUES (?, ?, ?, ?, ?)
    """, (cookie['name'], cookie['value'], cookie['domain'], cookie['path'], cookie['expiry']))

# Commit the changes and close the connection
conn.commit()
conn.close()

# Your code to save the cookies to SQLite3

# Close the browser
driver.quit()

Replace path/to/chromedriver, path/to/download/folder, and %f - %r with the appropriate values for your setup.

This example saves the cookies from the browser to the SQLite3 database. You can modify the code to load cookies from the database and set them in the browser as needed.

The main scenarios for using a proxy server: bypassing blocking, hiding the real IP, protection of confidential data when connecting to public WiFi access points, interaction with blocked applications, connection to closed portals, forums (which operate only in one country, region).

The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.