Python Crawler Proxy Configuration|requests library integration proxy solution

The core value of proxy IPs in Python crawlers

When you're writing a web crawler, the most common obstacle you encounter is access restrictions on the target site. This is whenHigh Quality Proxy IPLike putting a cloak of invisibility on your crawler, ipipgo provides a pool of residential proxy IPs that can effectively deal with all kinds of access control without revealing the real server characteristics.

Requests Library Agent Configuration in Four Steps

Integrating proxies in Python using the requests library only requires mastery of the core methods:

import requests

proxies = {
    'http': 'http://用户名:密码@gateway address:port',
    'https': 'https://用户名:密码@gateway:port'
}

response = requests.get('destination URL', proxies=proxies, timeout=10)

ipipgo users are advised to use the directAPI Dynamic Acquisition Proxy, avoiding manual maintenance of IP lists. It is recommended to encapsulate the authentication information as an environment variable, which is both secure and easy to switch environments.

Dynamic IP and static IP selection strategy

ipipgo's.Intelligent Routing TechnologyIt can automatically optimize node selection according to the current network conditions, which is especially suitable for projects that need to handle multiple geographic requests at the same time.

Practical: break through the high-frequency access restrictions

For situations that require intensive crawling, it is recommended to use ipipgo'sConcurrent Agent Pooling Program::

from concurrent.futures import ThreadPoolExecutor

def fetch_data(url):
    proxy = get_proxy_from_ipipgo() Call the ipipgo API to get a new IP.
    try.
        response = requests.get(url, proxies=proxy)
        return response.text
    except.
        mark_proxy_invalid(proxy) mark_proxy_invalid(proxy)

with ThreadPoolExecutor(max_workers=20) as executor: results = executor.map(fetch_data, max_workers=20) as executor.
    results = executor.map(fetch_data, urls_list)

Frequently Asked Questions QA

Q: What should I do if the proxy fails frequently?
A: It is recommended to use ipipgo'sIntelligent Fusing MechanismThe IP pool of 90 million+ IPs will be automatically switched when an IP anomaly is detected, so there is basically no availability problem.

Q: HTTPS request proxy failure?
A: Check whether the proxy protocol supports https, ipipgo's all-protocol proxy does not have this problem, note that the requests library needs to be configured at the same time http/https proxy

Q: How to test the actual effect of the agent?
A: It is recommended to verify with a test interface first:

test_url = 'http://ip.ipipgo.com/json' authentication interface provided by ipipgo
response = requests.get(test_url, proxies=proxies)
print(response.json()) View the returned proxy information

Enterprise-level project optimization recommendations

For large crawler systems, it is recommended to incorporate ipipgo'sMulti-geographic dispatch functionthat decentralizes requests to export nodes in different countries. It also utilizes itsTraffic Statistics APIPerform cost control to avoid wasting resources.