ScrollView Proxy

A DNS proxy, also known as a DNS proxy server or DNS forwarder, is a specialized type of proxy server that intercepts and processes Domain Name System (DNS) queries. DNS proxies are responsible for translating human-readable domain names into IP addresses, which are used by devices to access websites and other online resources.

DNS proxies act as an intermediary between a client (e.g., a web browser, operating system, or application) and a DNS resolver (e.g., an ISP's DNS server or a public DNS server like Google DNS or Cloudflare DNS).

To scrape all HTML content from a website using Scrapy, you need to create a spider that visits each page of the website and extracts the HTML content. Here's a simple example:

Create a Scrapy Project:
If you haven't already, create a Scrapy project by running the following commands in your terminal or command prompt:

scrapy startproject myproject
cd myproject

Define a Spider:
Open the spiders directory in your project and create a spider (e.g., html_spider.py). Edit the spider file with the following content:

import scrapy

class HtmlSpider(scrapy.Spider):
    name = 'html_spider'
    start_urls = ['http://example.com']  # Start with the main page of the website

    def parse(self, response):
        # Extract HTML content and yield it
        html_content = response.text
        yield {
            'url': response.url,
            'html_content': html_content
        }

        # Follow links to other pages (if needed)
        for next_page_url in response.css('a::attr(href)').extract():
            yield scrapy.Request(url=next_page_url, callback=self.parse)

This spider, named html_spider, starts with the main page (start_urls) and extracts the HTML content. It then follows links (a::attr(href)) to other pages and extracts their HTML content as well.

Run the Spider:
Run your spider using the following command:

scrapy crawl html_spider -o output.json

This command will execute the html_spider and save the output in a JSON file named output.json. Each item in the JSON file will contain the URL and HTML content of a page.

To convert a Scrapy Response object to a BeautifulSoup object, you can use the BeautifulSoup library. The Response object's body attribute contains the raw HTML content, which can be passed to BeautifulSoup for parsing. Here's an example:

from bs4 import BeautifulSoup
import scrapy

class MySpider(scrapy.Spider):
    name = 'my_spider'
    start_urls = ['http://example.com']

    def parse(self, response):
        # Convert Scrapy Response to BeautifulSoup object
        soup = BeautifulSoup(response.body, 'html.parser')

        # Now you can use BeautifulSoup to navigate and extract data
        title = soup.title.string
        print(f'Title: {title}')

        # Example: Extract all paragraphs
        paragraphs = soup.find_all('p')
        for paragraph in paragraphs:
            print(paragraph.text.strip())

- The Scrapy spider starts with the URL http://example.com.
- In the parse method, response.body contains the raw HTML content.
- The HTML content is passed to BeautifulSoup with the parser specified as 'html.parser'.
- The resulting soup object can be used to navigate and extract data using BeautifulSoup methods.

The current version of Skype does not have built-in functionality to work with proxies. That is, it must be configured at the operating system level. The messenger is available for Linux, Windows, MacOS and mobile platforms.

There are 2 ways to do this. The first is to manually change the settings in /etc/environment, but you will definitely need root access to do that. You can also use the Network Manager utility (compatible with all common DEs). You just have to make sure beforehand that the driver for the network adapter to work properly is installed on the system.