Noctura Proxy

Common users can use proxies to bypass blocking, to protect their personal data and to hide their real IP address or data about the equipment they use. But network administrators use them to analyze network traffic and test web applications.

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.

Under the parsing of goods often mean the collection of a database in which the data is entered about all the items sold in online stores. For example, the famous service e-katalog is just engaged in this type of parsing. And then it simply structures all the data obtained and publishes them on its site.

Checking proxies for spam is necessary to make sure that they are absolutely clean and are not included in any blacklists and spam databases. You can do it with the help of online checkers, which provide full information related to safety and anonymity of a proxy.

In the browser menu (top right corner), find "Settings", and then, under "Network settings", go to "Settings" to select "Manual network configuration". Enter, depending on your network protocol, the IP address, the port and click on "OK". Open any website and in the window that appears, enter the proxy password and login, then click "Ok" again. A successful connection to the site means that the setup is successfully completed.