Gandalf Proxy

Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.

Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:

import urllib.request

def scrape_website(url):
    try:
        # Make an HTTP request
        response = urllib.request.urlopen(url)
        
        # Read the HTML content
        html_content = response.read().decode('utf-8')

        # Extract the title using string manipulation
        title_start = html_content.find('', title_start)
        title = html_content[title_start:title_end].strip()

        return title
    except Exception as e:
        print(f"Error: {e}")
        return None

# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)

if scraped_title:
    print(f"Scraped title: {scraped_title}")
else:
    print("Scraping failed.")

Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.

Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.

Selenium is a popular tool for automating web browser interactions, but it does not have built-in support for interacting with browser push notifications. Push notifications are a feature of the browser itself, and Selenium operates at a lower level, interacting with the Document Object Model (DOM) and simulating user actions.

However, you can use Selenium in combination with JavaScript to interact with push notifications. Here's a step-by-step guide on how to do this:

Here's an example Python script using Selenium and the Chrome WebDriver that demonstrates these steps:

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

# Set up the Chrome WebDriver
driver = webdriver.Chrome()

# Navigate to the website that triggers the push notification
driver.get("https://example.com")

# Wait for the push notification to appear
wait = WebDriverWait(driver, 10)
push_notification = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, "div.push-notification")))

# Execute JavaScript to click the push notification
driver.execute_script("arguments[0].click();", push_notification)

# Perform any additional actions after clicking the push notification
# ...

# Close the browser
driver.quit()

Please replace the "div.push-notification" CSS selector with the appropriate selector for the push notification element on the website you are working with. Also, make sure to adjust the wait time (10 seconds in this example) as needed for the push notification to appear.

Keep in mind that this approach relies on executing JavaScript code, which can be more brittle than using Selenium's native methods. It's essential to handle exceptions and edge cases, such as the push notification not appearing within the expected time frame.

In the main window of the program, select "Advanced", then "Options". In the "Basic" section, there is the "Proxy settings" item. Click on "Configuration" and enter the server address, port number, protocol type used and so on.

It depends on how you plan to log in to Facebook. For example, if on a PC, just specify the proxy server settings in the connection properties or in the browser settings. If on a mobile (site or application), you need to specify the proxy data in the settings of the phone itself. Or you can install an application that allows you to automatically set up a VPN connection.

In the "Settings" of any Android smartphone there is a "VPN" item. And there you can manually specify the parameters of the proxy, through which the connection to the Internet will be made. There, some of the programs also import ready-made scripts for proxy connections.