IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.74 | us | 80 | 24 minutes ago |
189.202.188.149 | mx | 80 | 24 minutes ago |
50.171.187.50 | us | 80 | 24 minutes ago |
50.171.187.53 | us | 80 | 24 minutes ago |
50.223.246.226 | us | 80 | 24 minutes ago |
50.219.249.54 | us | 80 | 24 minutes ago |
50.149.13.197 | us | 80 | 24 minutes ago |
67.43.228.250 | ca | 8209 | 24 minutes ago |
50.171.187.52 | us | 80 | 24 minutes ago |
50.219.249.62 | us | 80 | 24 minutes ago |
50.223.246.238 | us | 80 | 24 minutes ago |
128.140.113.110 | de | 3128 | 24 minutes ago |
67.43.236.19 | ca | 17929 | 24 minutes ago |
50.149.13.195 | us | 80 | 24 minutes ago |
103.24.4.23 | sg | 3128 | 24 minutes ago |
50.171.122.28 | us | 80 | 24 minutes ago |
50.223.246.239 | us | 80 | 24 minutes ago |
72.10.164.178 | ca | 16727 | 24 minutes ago |
50.232.104.86 | us | 80 | 24 minutes ago |
50.172.39.98 | us | 80 | 24 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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A firewall is responsible for filtering packets of traffic. For example, it blocks access to the Internet for certain applications. There are many more options for using a proxy. But if you install special software, it can also be used for such purposes.
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:
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.
A proxy server acts as an intermediary between client and server parts of distributed network applications. The role of a transit node provides a logical break in the direct connection between the server and the client. A proxy server can also act as a firewall if the traffic it controls does not go through a workaround.
What else…