Ext JS Proxy

The easiest way to set up a home proxy server is to install a router that supports this function. Then get the proxy data (provided by the service in which it is "rented") and enter it in the router settings. If there is no need for a common proxy (for all devices at once), then it should be configured separately for each device with the help of the utilities integrated in the OS for changing the connection properties.

You need to go to "Settings", under "Sharing" select "VPN". And there you can either enter the connection parameters manually (address, port number, username and password), or choose a program that automatically connects the user to the proxy (free applications of this type can be found in Google Play).

To parse all pages of a website in Python, you can use web scraping libraries such as requests for fetching HTML content and BeautifulSoup or lxml for parsing and extracting data. Additionally, you might need to manage crawling and handle the structure of the website.

Here's a basic example using requests and BeautifulSoup:

import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlparse

def get_all_links(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    # Extract all links on the page
    links = [a['href'] for a in soup.find_all('a', href=True)]
    
    return links

def parse_all_pages(base_url):
    all_links = get_all_links(base_url)
    all_pages_content = []

    for link in all_links:
        # Form the full URL for each link
        full_url = urljoin(base_url, link)

        # Ensure the link is within the same domain to avoid external links
        if urlparse(full_url).netloc == urlparse(base_url).netloc:
            # Get HTML content of the page
            page_content = requests.get(full_url).text
            all_pages_content.append({'url': full_url, 'content': page_content})

    return all_pages_content

# Example usage
base_url = 'https://example.com'
all_pages_data = parse_all_pages(base_url)

# Now you have a list of dictionaries with data for each page
for page_data in all_pages_data:
    print(f"URL: {page_data['url']}")
    # Process HTML content of each page as needed
    # For example, you can use BeautifulSoup for further data extraction

This example fetches all links from the initial page and then iterates through each link, fetching and storing the HTML content of the linked pages. Make sure to handle relative URLs and filter external links based on your requirements.

When scraping a dynamic list where the content is loaded dynamically, you often need to use a web scraping library that supports interaction with JavaScript or a headless browser. The selenium library is a popular choice for this task.

Below is an example of scraping a dynamic list from a website using Python with selenium. In this example, the list items are loaded dynamically through JavaScript, and we'll use selenium to interact with the page.

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

# Replace 'your_url' with the actual URL of the page
url = 'your_url'

# Initialize the webdriver (you may need to download the appropriate webdriver for your browser)
driver = webdriver.Chrome()

# Open the webpage
driver.get(url)

# Use WebDriverWait to wait for the dynamic content to load
try:
    # Adjust the timeout and conditions based on your webpage's behavior
    WebDriverWait(driver, 10).until(
        EC.presence_of_element_located((By.XPATH, '//div[@class="your-list-item-class"]'))
    )

    # Extract the list items using XPath (adjust the XPath based on your HTML structure)
    list_items = driver.find_elements(By.XPATH, '//div[@class="your-list-item-class"]')

    # Process the list items
    for index, item in enumerate(list_items):
        print(f"Item {index + 1}: {item.text}")

finally:
    # Close the browser window
    driver.quit()

In this example:

• Replace 'your_url' with the actual URL of the page you want to scrape.
• Adjust the XPath in driver.find_elements based on the structure of your HTML. This XPath should point to the dynamic list items.

Remember to install the selenium library (pip install selenium) and download the appropriate WebDriver (e.g., ChromeDriver) for your browser.

To clear the local storage in Selenium Python, you can use the execute_script method to run JavaScript code that clears the storage. Here's an example of how to do this:

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
driver.get("https://example.com")

# Wait for the page to load
wait = WebDriverWait(driver, 10)
wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, "body")))

# Clear the local storage
driver.execute_script("""
    if (typeof window.localStorage !== 'undefined') {
        window.localStorage.clear();
    }
""")

# Perform any additional actions after clearing the local storage
# ...

# Close the browser
driver.quit()

In this example, the execute_script method is used to run a JavaScript snippet that checks if the window.localStorage object exists and then clears it. This code should work for most websites, but keep in mind that some websites might have additional security measures in place that prevent the local storage from being cleared programmatically.

Remember to replace https://example.com with the URL of the website you are working with.