IP | Country | PORT | ADDED |
---|---|---|---|
41.230.216.70 | tn | 80 | 13 minutes ago |
50.168.72.119 | us | 80 | 13 minutes ago |
80.228.235.6 | de | 80 | 13 minutes ago |
62.182.204.81 | ru | 88 | 13 minutes ago |
72.10.160.173 | ca | 16915 | 13 minutes ago |
50.207.199.80 | us | 80 | 13 minutes ago |
83.1.176.118 | pl | 80 | 13 minutes ago |
112.86.55.159 | cn | 81 | 13 minutes ago |
194.158.203.14 | by | 80 | 13 minutes ago |
62.99.138.162 | at | 80 | 13 minutes ago |
80.120.130.231 | at | 80 | 13 minutes ago |
31.40.248.2 | ru | 8080 | 13 minutes ago |
43.134.33.254 | sg | 3128 | 13 minutes ago |
85.8.68.2 | de | 80 | 13 minutes ago |
128.140.113.110 | de | 5153 | 13 minutes ago |
50.218.208.10 | us | 80 | 13 minutes ago |
50.217.226.44 | us | 80 | 13 minutes ago |
41.207.187.178 | tg | 80 | 13 minutes ago |
50.175.212.76 | us | 80 | 13 minutes ago |
50.175.123.239 | us | 80 | 13 minutes ago |
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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:
Ethics and Legality:
Robots.txt:
robots.txt
file to understand if scraping is allowed or restricted.Consent:
Anti-Spam Regulations:
Variability of Email Formats:
Use of APIs:
The first thing to do is to go into the "Settings" of the messenger. In the "Data and Memory" section, at the very bottom, are the "Proxy Settings". Activate "Use proxy" and select the protocol SOCKS5, then in the line "Server" write the address and in the line "Port" - the port of the proxy. Since SOCKS5 often uses a system of authentication, you'll need to enter your username and password in the appropriate lines. Sign the result by clicking the checkbox at the top right corner of the screen. When you have connected the proxy to Telegram, don't forget to click "Share" and select the desired contacts.
In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.
Go to "Control Panel" and in "Small icons" mode, find the item "Browser properties", aka "Internet Options". In the "Connection" tab, click on "Network Settings", and then leave the item "Automatic detection of parameters" enabled in the window that opens, and disable everything else.
It means that now all the traffic is sent to a VPN server (which can be an ordinary proxy). This is a kind of warning that the remote server can now collect data. Therefore, you should use only well-tested VPN services.
What else…