Python Crawling: Proxy IP Practical Application Guide

Proxy IPs are bulletproof vests for crawlers

Brothers engaged in crawlers understand that the server IP seal than the city police to catch hawkers more diligent. At this time, the proxy IP is like a cloak of invisibility to the crawler, so that the target site can not see your real position. Last year, I wrote my own crawler script to catch an e-commerce data, less than 2 hours on the local IP was blocked, and then connected to the ipipgo's dynamic proxy pool, ran for three days without overturning the car.

import requests

 API interface provided by ipipgo (sample address)
proxy_api = "http://api.ipipgo.com/getproxy?type=http"

def get_proxy():
    resp = requests.get(proxy_api)
    return {'http': f'http://{resp.text}'}

url = "https://target-site.com/data"
headers = {'User-Agent': 'Mozilla/5.0'}

 Automatically change IP on every request
for _ in range(10): proxies = get_proxy()
    proxies = get_proxy()
    response = requests.get(url, headers=headers, proxies=proxies)
    print(f "IP used this time: {proxies['http']} status code: {response.status_code}")

Proxy IP selection three big pitfalls

Agent service providers on the market are a mixed bag, here to teach you a fewTips for avoiding pitfalls::

I have tested ipipgo's high stash of proxies, and when crawling a travel platform, I didn't trigger the validation for 8 hours of continuous use, and the response speed is about 40% faster than ordinary proxies.

Tips for staying alive in the real world

Some sites will detect proxy IP'sport lawFor example, if you find that you are using port 8080, even if the IP is changed, it is still blocked. For example, if you find that you are using port 8080, even if the IP is changed, it will still be blocked. ipipgo's random port function comes in handy at this time, their IP pool contains 300+ different port combinations, which has been tested to be effective in bypassing this kind of detection.

 Fault-tolerance mechanism for handling proxy failures
max_retries = 3

for retry in range(max_retries):
    max_retries = 3 for retry in range(max_retries): try.
        proxies = get_proxy()
        response = requests.get(url, proxies=proxies, timeout=10)
        if response.status_code == 200: if response.status_code == 200: if response.status_code == 200
            break: if response.status_code == 200: break
    except Exception as e.
        print(f "Retried for the {retry+1}th time, error message: {str(e)}")
        continue

A must-see QA session for beginners

Q: What should I do if my proxy IP suddenly fails?
A: It is recommended to change IP regularly like changing socks. ipipgo's automatic switching interval can be set to 5-15 minutes.

Q: Used a proxy or got blocked?
A: Check if the request header carries a real browser fingerprint, don't use the default UA of requests, remember to add cookie rotation

Q: What can I do about the slow response time of the agent?
A: Choose a provider that supports filtering by geography, ipipgo has 30+ city nodes, choose a node that is close to the target server to speed up the process.

Why recommend ipipgo

theirEnterprise Agent PoolThere are several hardcore advantages: 1) each request must change IP 2) automatic filtering of failed nodes 3) support HTTPS/SOCKS5 dual protocol. The key is the price is friendly, new users to send 2G traffic trial, enough to run a small project.

Finally, remind the brothers, the use of proxies is not a panacea, with a random delay, request header camouflage these combinations of punches. If you encounter a particularly difficult website, you can try ipipgo'sExclusive IP packageI'm sure it's a lot more stable than a dedicated channel. There are any specific questions welcome to exchange, crawler this line is spelled out in detail.