Proxy | Leecher Github

Most free proxies are actually misconfigured servers owned by innocent third parties (universities, small businesses, home routers). By routing your traffic through them, you are borrowing—or rather, stealing—their bandwidth. Some jurisdictions consider this unauthorized computer access.

GitHub’s Acceptable Use Policies prohibit:

Many proxy-leecher repositories are eventually taken down after DMCA or GitHub-abuse reports.

Once the script finishes, you will have a file (e.g., proxies.txt). Use a small script to test a random sample:

import requests
with open('proxies.txt') as f:
proxies = [line.strip() for line in f] proxy leecher github
for proxy in proxies[:10]:
try:
resp = requests.get('http://httpbin.org/ip', proxies='http': proxy, 'https': proxy, timeout=5)
print(f"Working: proxy -> resp.json()")
except:
print(f"Dead: proxy")

Expect a 20-30% success rate on a good day.

A Proxy Leecher is a script or application that "leeches" (downloads/extracts) lists of proxy servers from various sources on the internet. Most free proxies are actually misconfigured servers owned

Unlike a Proxy Scraper (which may only visit specific websites), a Leecher typically aggregates lists from multiple sources simultaneously, including:

The primary output is a raw list of IP addresses and ports (e.g., 192.168.1.1:8080).

This is the section most "proxy leecher" tutorials ignore. Using a proxy leecher from GitHub is not a victimless activity.

If your goal is legitimate (web scraping, anonymity, testing), consider these ethical and more reliable options: Expect a 20-30% success rate on a good day

| Method | Cost | Reliability | Speed | Use Case | |--------|------|-------------|-------|-----------| | Proxy Leecher (GitHub) | Free | 5% | Slow | Learning | | Free VPN (e.g., ProtonVPN free tier) | Free | 60% | Medium | Privacy | | Premium Proxy APIs (BrightData, Oxylabs) | High ($10+/GB) | 99% | Fast | Business scraping | | Rotating User Agents + Delays | Free | N/A | Medium | Simple scrapers | | Tor Network (with stem library) | Free | 40% | Very Slow | Anonymity |

For 99% of web scraping tasks, you don't need proxies. You need politeness: time.sleep(random.uniform(1, 3)) and proper User-Agent headers.

These are the "jack of all trades." They scrape 20-50 different free proxy websites. Examples include repos named Proxy-Scraper, Proxy-Harvester, or Proxy-Leecher-V2.

Features:

Example code snippet (simplified):

sources = ['https://free-proxy-list.net/', 'https://www.sslproxies.org/']
proxies = []
for url in sources:
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    # Extract rows from proxy table
    for row in soup.select('table tbody tr'):
        ip = row.select_one('td:nth-child(1)').text
        port = row.select_one('td:nth-child(2)').text
        proxies.append(f"ip:port")