Forgerock Proxy

Proxy servers are of the following types:
FTP proxy designed to send data to FTP servers.
CGI proxy, which is used to browse web services in a browser. You do not need to configure any settings. All actions are performed anonymously. Often such proxies are designed in the form of a page where you have to specify the address of a desired site.
SMTP, POP3 and IMAP proxy are designed for sending and receiving email.
HTTP and HTTPS proxies are for scrolling web services.
Socks proxy are used as an anonymizer. No one will know about the user's actions.

It is recommended to use third-party programs that allow redirecting all traffic through a proxy server. For example, ProxyDroid, EveryProxy. It is not possible to use proxies through the regular menu. Although in phones from some manufacturers such possibility has been added.

There are HTTP proxy, FTP proxy, SOCKS proxy, SMTP proxy, CGI proxy. They differ only in the data transmission protocol used and the purpose for which they are used. For example, SMTP proxy allows you to organize a secure server for e-mail.

When using a proxy, Google Chrome warns the user about it at startup. To connect directly, you must disable proxies at system level. That is, go to "Settings" Windows, then - "Network and Internet", in the section "Proxy server" disable the corresponding item.

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.