Congo Proxy

The HTMLCleaner library is typically used for cleaning and transforming HTML documents, but it does not provide a direct API for parsing HTML. Instead, it's often used in conjunction with an HTML parser to clean and format the HTML content.

Here's an example using HTMLCleaner along with the Jsoup library, which is a popular HTML parser in Java

Add the HTMLCleaner and Jsoup dependencies to your project. You can use Maven or Gradle to include them.

For Maven:

    net.sourceforge.htmlcleaner
    htmlcleaner
    2.25



    org.jsoup
    jsoup
    1.14.3

For Gradle:

implementation 'net.sourceforge.htmlcleaner:htmlcleaner:2.25'
implementation 'org.jsoup:jsoup:1.14.3'

Use HTMLCleaner and Jsoup to parse and clean HTML:

import org.htmlcleaner.CleanerProperties;
import org.htmlcleaner.HtmlCleaner;
import org.htmlcleaner.TagNode;
import org.htmlcleaner.XPatherException;
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;

public class HtmlParsingExample {
    public static void main(String[] args) {
        String htmlContent = "
Hello, world!
";

        // Parse HTML using Jsoup
        Document document = Jsoup.parse(htmlContent);

        // Clean the parsed HTML using HTMLCleaner
        TagNode tagNode = cleanHtml(document.outerHtml());

        // Perform additional operations with the cleaned HTML
        // For example, extracting text content using XPath
        try {
            Object[] result = tagNode.evaluateXPath("//body/p");
            if (result.length > 0) {
                TagNode paragraph = (TagNode) result[0];
                String textContent = paragraph.getText().toString();
                System.out.println("Text content: " + textContent);
            }
        } catch (XPatherException e) {
            e.printStackTrace();
        }
    }

    private static TagNode cleanHtml(String html) {
        HtmlCleaner cleaner = new HtmlCleaner();
        CleanerProperties properties = cleaner.getProperties();

        // Configure cleaner properties if needed
        properties.setOmitXmlDeclaration(true);

        try {
            return cleaner.clean(html);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
}

In this example, Jsoup is used for initial HTML parsing, and HTMLCleaner is used to clean the HTML. You can perform additional operations on the cleaned HTML, such as using XPath to extract specific elements.

If Selenium in Python is not able to find the ChromeDriver executable on Linux, there are several common reasons and solutions. Here's a step-by-step guide to troubleshoot and resolve the issue

1. Check ChromeDriver Installation

Ensure that ChromeDriver is installed on your Linux machine. You can download the latest version from the ChromeDriver Downloads page.

2. Specify ChromeDriver Path in Your Script

Explicitly specify the path to ChromeDriver in your Python script using the executable_path argument when initializing the webdriver.Chrome() instance.

from selenium import webdriver

chrome_path = "/path/to/chromedriver"  # Replace with the actual path
driver = webdriver.Chrome(executable_path=chrome_path)

# Your Selenium script...

driver.quit()

3. Add ChromeDriver to System PATH

Add the directory containing ChromeDriver to your system's PATH environment variable. This allows Selenium to automatically locate the ChromeDriver executable.

export PATH=$PATH:/path/to/directory/containing/chromedriver

Alternatively, you can add this line to your shell configuration file (e.g., ~/.bashrc or ~/.bash_profile) to make the change permanent.

4. Check File Permissions

Ensure that the ChromeDriver executable has the necessary execute permissions. You can use the chmod command to add execute permissions if needed.

chmod +x /path/to/chromedriver

5. Use a Virtual Environment

If you are using a virtual environment, ensure that ChromeDriver is installed within the virtual environment. Activate the virtual environment before running your script.

6. Update Selenium and ChromeDriver

Make sure you are using the latest versions of both Selenium and ChromeDriver. Outdated versions may not be compatible with each other.

pip install --upgrade selenium

Download the latest ChromeDriver version from the ChromeDriver Downloads page.

7. Check Chrome Browser Version

Ensure that the version of ChromeDriver you are using is compatible with the version of the Chrome browser installed on your machine. ChromeDriver versions and Chrome browser versions should be in sync.

8. Run in Headless Mode

If you are running your script in headless mode, ensure that your machine has the necessary dependencies for headless browsing.

from selenium import webdriver

chrome_path = "/path/to/chromedriver"  # Replace with the actual path
options = webdriver.ChromeOptions()
options.add_argument('--headless')

driver = webdriver.Chrome(executable_path=chrome_path, options=options)

# Your Selenium script...

driver.quit()

9. Check for Typos

Double-check for any typos or syntax errors in the path to ChromeDriver. Ensure that the path is correct and matches the actual location of the executable.

By addressing these points, you should be able to resolve the issue of Selenium not finding ChromeDriver on Linux. If the problem persists, providing additional details about error messages or behavior would be helpful for further assistance.

Explicit and implicit waiting are two types of waiting strategies used in Selenium WebDriver to handle synchronization issues in web applications. They help in dealing with elements that are not immediately available on the page when the test starts.

Explicit Wait:

Explicit wait is used when you know exactly which element you are waiting for and how long you want to wait for that element to be available. It uses the WebDriverWait class to wait for a specified condition to be true for a specified amount of time. Explicit wait is more reliable and is generally recommended when you know the expected conditions.

The main components of explicit wait are:

- WebDriverWait: It is a class that provides a way to wait for a condition to be true for a specified amount of time.

- ExpectedConditions: It is a class that provides a way to specify the condition to be true.

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

driver = webdriver.Chrome()
driver.get("http://example.com")

# Explicit wait for an element to be present
wait = WebDriverWait(driver, 10)
element = wait.until(EC.presence_of_element_located((By.ID, "myElement")))

Implicit Wait:

Implicit wait is a global setting that applies to all find_element and find_elements calls in a test. It tells the WebDriver to wait for a specified amount of time for an element to be available before throwing a NoSuchElementException. Implicit wait is less reliable than explicit wait because it applies to all elements in the test, not just the specific one you are waiting for.

The main components of implicit wait are:

ImplicitlyWait: It is a method used to set the amount of time the WebDriver should wait for an element to be available before throwing a NoSuchElementException.

from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException

driver = webdriver.Chrome()
driver.implicitly_wait(10) # Set implicit wait to 10 seconds
driver.get("http://example.com")

try:
    element = driver.find_element(By.ID, "myElement")
except NoSuchElementException:
    print("Element not found")

In summary, the main difference between explicit and implicit waiting in Selenium is that explicit wait is used for waiting for a specific condition to be true for a specified amount of time, while implicit wait is a global setting that applies to all find_element and find_elements calls in a test. Explicit wait is more reliable and is generally recommended for specific scenarios, while implicit wait is less reliable but simpler to use for general cases.

Chromium does not support proxies in-house. There is a corresponding item in the menu, but clicking on it will open the regular proxy server settings in Windows or MacOS.

In the browser settings, select "Open Browser Settings" and then, finding the "Advanced" button, go to the "System" section. Click on the button "Open proxy server settings for computer" and in the section "Manual proxy settings" move the slider to the position "On". Now enter in the appropriate fields the IP address, proxy, port and click "Save".