Python HTTP Proxy Server: Homemade Proxy Tutorial

Hands-on with Python to rub an HTTP proxy server!

Recently, a number of buddies asked me, said they want to build a proxy server to play. This thing is not difficult to say, but without some practical experience is really easy to step on the pit. Today we will use Python to use the whole proxy server, and talk about the proxy IP of the doorway.

Why build your own wheels?

The market is full of agency service providers, like us.ipipgoSuch professionals are naturally reliable. But there are some special scenarios that are more flexible to engage in on your own instead, for example:

• Test the access speed of your own website
• Batch management of access rights for different IPs
• Triage requests when doing data collection

For example, if an e-commerce company wants to monitor the price of competing products, it can flexibly switch IPs by building its own proxy server, so as to avoid being caught by the anti-climbing mechanism.

Don't be sloppy with your environmental preparations

Prepare these guys and gals before you start:

Python 3.6+
socket module
threading module
the requests library (for testing)

Focusing on the socket, it is like the Swiss Army knife of network programming. Although there are now more advanced frameworks, we have to start from the bottom in order to understand the principles.

Basic version of the code to go

First the whole skeleton that can run:

import socket
import threading

def handle_client(client_socket): request = client_socket.
    request = client_socket.recv(4096)
     The request forwarding logic is handled here
    client_socket.send(b "HTTP/1.1 200 OKrrHello Proxy!")
    client_socket.close()

server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind((('0.0.0.0', 8080)))
server.listen(5)

server.listen(5) while True: client, addr = server.accept
    client, addr = server.accept()
    proxy_thread = threading.Thread(target=handle_client, args=(client,))
    proxy_thread.start()

Although this code can only return a fixed response, but already has the prototype of the proxy. After running the browser to set the proxy to 127.0.0.1:8080 you can see the effect.

Access Proxy IP Pools are the Soul

The framework alone is not enough to see, the focus is on how to integrate proxy IPs. here we recommend using theipipgoThe API to get high-quality IP, the stability of the real test is much better than self-picked IP.

import requests

def get_proxy_ip()::
     Example of an API call to ipipgo.
    resp = requests.get("https://api.ipipgo.com/proxy/get")
    return resp.json()['proxy']

Embedding this functionality into the request processing session enables dynamic IP switching. Be careful to handle exceptions, such as automatic retries when the IP fails.

Three axes of performance optimization

If you want your proxy server to carry high concurrency, these are some optimization points to keep in mind:

If it's an enterprise application, it's recommended to go straight toipipgoThe business solution of their home IP survival rate can be up to 99%, which is much more hassle-free than maintaining it yourself.

Practical QA session

Q: What should I do if the proxy server often times out?
A: Check the IP quality first withipipgoThe detection interface verifies IP availability. Secondly, adjust the timeout parameter, don't set it too short

Q: How can I prevent my IP from being blocked by the target website?
A: The key is in the IP rotation strategy. It is recommended to set the switching frequency according to the business scenario withipipgoThe massive IP pool is more effective

Q: What hardware do I need to build my own agency?
A: Ordinary PCs are enough to run small-scale business. If you want to deal with millions of requests, it is recommended to go to cloud server + professional proxy service combination program.

Tossing around proxy servers on your own can really teach you things, but to really get into a production environment, it's still recommended toipipgoThis kind of professional service providers. After all, they have a specialized operation and maintenance team and IP resources, which is much more stable than fighting alone.