Proxy Spinner

In the Windows Settings menu, go to "Network and Internet". At the very bottom, on the left side, find the item "Proxy server" and uncheck it so that it is no longer used. It is also desirable to uncheck the item "Automatic detection of parameters" in the section "Automatic configuration". If this is not done, there is a chance that the proxy will continue to be used. Reboot your laptop.

The Simple HTML DOM Parser is a PHP library that allows you to manipulate HTML content easily. Below is an example of how to use the Simple HTML DOM Parser to parse and extract information from an HTML document.

First, make sure you have the Simple HTML DOM Parser library included in your project. You can download it from the official repository on GitHub.

Include the library in your PHP file:

include('path/to/simple_html_dom.php');

Use the library to parse and extract information from an HTML document:

// Example HTML content
$htmlContent = '
Hello, world!
';

// Create a Simple HTML DOM object
$html = str_get_html($htmlContent);

// Extract text content from a specific element
$textContent = $html->find('div.container p', 0)->plaintext;

// Output the result
echo "Text Content: $textContent";

In this example:

The str_get_html function is used to create a Simple HTML DOM object from the HTML content.

The find method is used to locate a specific element (div.container p) in the HTML.

The plaintext property is used to extract the text content of the found element.

Make sure to replace 'path/to/simple_html_dom.php' with the actual path to the Simple HTML DOM Parser library.

You can perform various operations with Simple HTML DOM Parser, such as finding elements by tag, class, or ID, traversing the DOM tree, and extracting attributes. Refer to the official documentation for more details and examples.

Web scraping to collect email addresses from web pages raises ethical and legal considerations. It's important to respect privacy and adhere to the terms of service of the websites you are scraping. Additionally, harvesting email addresses for unsolicited communication may violate anti-spam regulations.

If you have a legitimate use case, here's a basic example in Python using the requests library and regular expressions to extract email addresses. Note that this is a simplistic example and may not cover all email address variations:

import re
import requests

def extract_emails_from_text(text):
    email_pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'
    return re.findall(email_pattern, text)

def scrape_emails_from_url(url):
    response = requests.get(url)
    if response.status_code == 200:
        page_content = response.text
        emails = extract_emails_from_text(page_content)
        return emails
    else:
        print(f"Failed to fetch content from {url}. Status code: {response.status_code}")
        return []

# Example usage
url_to_scrape = 'https://example.com'
emails_found = scrape_emails_from_url(url_to_scrape)

if emails_found:
    print("Email addresses found:")
    for email in emails_found:
        print(email)
else:
    print("No email addresses found.")

Keep in mind the following:

1. Ethics and Legality:

   • Ensure that your scraping activities are ethical and comply with the laws and terms of service of the websites you are scraping.

2. Robots.txt:

   • Check the website's robots.txt file to understand if scraping is allowed or restricted.

3. Consent:

   • Respect user privacy and obtain consent if necessary.

4. Anti-Spam Regulations:

   • Be aware of and comply with anti-spam regulations in your region.

5. Variability of Email Formats:

   • Email address formats can vary, and the regular expression provided is a basic example. You may need to adjust it based on the actual formats you encounter.

6. Use of APIs:

   • If available, consider using official APIs provided by websites to access data rather than scraping.

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 most convenient way is to use online proxy checkers, i.e. services that test all connection capabilities, including supported protocols. For example, Hidemy.name or Securitylab. As for applications, you can recommend SocksChain or Open Proxy Checker.