Proxy Scraper Source Code

In this article, we will be exploring the world of proxy scraping and providing you with a comprehensive source code to get you started. Proxy scraping is a technique used to extract proxy servers from various sources on the internet, which can be used for various purposes such as web scraping, anonymous browsing, or even cyber attacks (not recommended!).

Why Proxy Scraping?

Proxy scraping has become a necessary evil in today’s digital landscape. With the increasing need for anonymity and privacy online, proxy servers have become a popular tool for individuals and organizations seeking to conceal their identity while browsing the web. However, with millions of proxy servers available online, it can be a daunting task to find and validate reliable ones.

Understanding Proxy Scraping

Proxy scraping involves extracting proxy servers from various sources, such as:

1. Online proxy lists
2. Publicly available proxy servers
3. Forums and communities
4. Social media platforms
5. Scanning IP addresses for proxy servers

Proxy Scraper Source Code

Below is a basic Python script that demonstrates a simple proxy scraper using the requests and beautifulsoup4 libraries. This script extracts proxy servers from a publicly available proxy list and validates them.

proxy_scraper.py

import requests
from bs4 import BeautifulSoup
import re

# List of proxy servers to scrape
proxy_lists = [
    'https://www.proxy-list.download/',  # Publicly available proxy list
    'https://proxy.org/list.html',  # Another publicly available proxy list
]

# Function to extract proxy servers from a given URL
def extract_proxy_servers(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')

    # Extract proxy servers from the page
    proxies = []
    for row in soup.find_all('td'):
        if row.find('table'):
            for cell in row.find_all('td'):
                if re.search(r'\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\:\d{1,5}\b', cell.text):
                    proxies.append(cell.text.strip())

    return proxies

# Function to validate proxy servers
def validate_proxy_servers(proxies):
    valid_proxies = []
    for proxy in proxies:
        try:
            s = requests.Session()
            s.proxies = {'http': proxy, 'https': proxy}
            response = s.get('http://httpbin.org/get')
            if response.status_code == 200:
                valid_proxies.append(proxy)
        except requests.exceptions.RequestException:
            pass

    return valid_proxies

# Main function
if __name__ == '__main__':
    all_proxies = []
    for proxy_list in proxy_lists:
        proxies = extract_proxy_servers(proxy_list)
        all_proxies.extend(proxies)

    valid_proxies = validate_proxy_servers(all_proxies)

    print("Extracted Proxy Servers:")
    print(valid_proxies)

    with open('proxies.txt', 'w') as f:
        for proxy in valid_proxies:
            f.write(proxy + '\n')

How it Works

The script begins by defining a list of proxy lists to scrape. The extract_proxy_servers function is responsible for extracting proxy servers from each URL in the list. The function uses BeautifulSoup to parse the HTML content of the page and extract the proxy servers.

The validate_proxy_servers function is responsible for validating the extracted proxy servers. It uses the requests library to send a GET request to a public server using each proxy server and checks the response status code. If the response status code is 200, the proxy server is considered valid.

The main function iterates through the proxy lists, extracts the proxy servers, validates them, and prints the valid proxy servers. Finally, it writes the valid proxy servers to a file named proxies.txt.

Conclusion

Proxy scraping is a powerful technique for extracting proxy servers from various sources. The provided source code demonstrates a basic proxy scraper using Python and can be modified and extended to suit your specific needs. Remember to always use proxy servers responsibly and in accordance with the terms of service of the source websites.

Note: This script is for educational purposes only and should not be used for malicious activities.