5 Best Ways to Create a Proxy Webserver in Python

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💡 Problem Formulation: Developers often need to create a proxy webserver to intercept, analyze, and modify web requests for a variety of applications such as privacy-enhancing tools, testing, or content filtering. For instance, an input can be an HTTP request from a client, and the desired output is the request being forwarded to the target server, potentially with some modifications, and the response returned back to the client.

Method 1: Using the http.server Module

This traditional method leverages Python’s built-in http.server module, which provides simple HTTP server capabilities. Developers can extend the BaseHTTPRequestHandler to intercept and process requests and thereby create a basic proxy server.

Here’s an example:

from http.server import BaseHTTPRequestHandler, HTTPServer

class ProxyHTTPRequestHandler(BaseHTTPRequestHandler):
    def do_GET(self):
        self.wfile.write(b'Proxy server received your request.')

httpd = HTTPServer(('localhost', 8080), ProxyHTTPRequestHandler)

Output: The server starts and listens for GET requests on localhost port 8080. Upon receiving a GET request, it responds with “Proxy server received your request.”

This code snippet establishes a basic local server running at port 8080. When it receives a GET request, it sends a simple response, indicating that the request has been processed by the proxy.

Method 2: Using socket Module

Sockets provide a low-level interface for network interactions, enabling more granular control over connections. By using Python’s socket module, one can create a server that acts as a proxy by receiving data from the client and passing it onto the target server.

Here’s an example:

import socket

def main():
    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as proxy_socket:
        proxy_socket.bind(('localhost', 8080))

        while True:
            client_conn, _ = proxy_socket.accept()
            request = client_conn.recv(4096)
            # perform proxy operations here


Output: The server listens on port 8080 and echos back any received data to the sender.

This code sets up a simple echo proxy server using the socket API, which can be enhanced to forward requests to a target server and return the target’s response back to the original requester.

Method 3: Using the requests Module

The requests library in Python is a user-friendly HTTP library. It can be employed to forward requests received by a local server to a target server, and then return the target server’s response to the original client.

Here’s an example:

from http.server import BaseHTTPRequestHandler, HTTPServer
import requests

class ProxyHTTPRequestHandler(BaseHTTPRequestHandler):
    def do_GET(self):
        response = requests.get('http://example.com')

httpd = HTTPServer(('localhost', 8080), ProxyHTTPRequestHandler)

Output: The proxy server fetches data from example.com and returns it as the response to any GET request.

This example modifies the first method by using the requests library to fetch content from an external site and return that content as the response to the client’s GET request.

Method 4: Using Twisted Framework

Twisted is an event-driven networking engine in Python. It can be used to create a robust and scalable proxy server that can handle multiple connections efficiently.

Here’s an example:

from twisted.web import proxy, http
from twisted.internet import reactor

class ProxyFactory(http.HTTPFactory):
    protocol = proxy.Proxy

reactor.listenTCP(8080, ProxyFactory())

Output: An asynchronous proxy server starts on port 8080, capable of serving multiple clients simultaneously.

This code leverages the Twisted framework’s facilities to create an efficient proxy server. It demonstrates the simplicity of setting up a proxy with asynchronous networking capabilities.

Bonus One-Liner Method 5: Using aiohttp

The aiohttp library is ideal for asynchronous operations in Python 3. It can be used to set up a proxy server in a single line within an asynchronous routine.

Here’s an example:

import aiohttp
from aiohttp import web

async def handle(request):
    async with aiohttp.ClientSession() as session:
        async with session.get(request.rel_url) as resp:
            return web.Response(body=await resp.read())

app = web.Application()
app.router.add_route('*', '/{tail:.*}', handle)
web.run_app(app, port=8080)

Output: An asynchronous proxy server is running on port 8080, redirecting all incoming requests.

The above one-liner function handles requests asynchronously by setting up a route that captures all traffic and forwards it using the aiohttp session, showcasing the power of async IO handling.


  • Method 1: http.server Module. Simple implementation. Good for learning and small-scale experiments. Limited features and not suitable for production.
  • Method 2: socket Module. Low-level control, great for custom solutions. More complex, requires understanding of networking principles.
  • Method 3: requests Module. High-level HTTP interactions, user-friendly. Not asynchronous, less efficient for high concurrency.
  • Method 4: Twisted Framework. Scalable and robust, great for production-level proxies. Steeper learning curve and more complex setup.
  • Method 5: aiohttp. Asynchronous, efficient for IO-bound tasks. Requires Python 3.5+, and understanding of async programming.