Python Batch Processing: Python Automation Scripts

Python batch processing to get a proxy IP, these pitfalls you stepped on it?

Engaged in network data capture brother understand, single-threaded crawl data with a bicycle on the highway like, slow people crazy. This is the time to make a whole lot ofProxy IP PoolThe first thing you need to do is to change the IP address manually, but what about the programmers who can do it? Today, we will teach you to use Python to automate proxy IP batch processing.

import requests
from concurrent.futures import ThreadPoolExecutor

def crawl data(proxy ip): proxies = {
    proxies = {
        'http': f'http://{proxy ip}',
        'https': f'http://{proxy ip}'
    }
    try.
        resp = requests.get('destination url', proxies=proxies, timeout=10)
        print(f'Successfully fetched data using {proxy ip}')
        return resp.text
    except Exception as e.
        print(f'{proxy ip} dropped: {str(e)}')

 IP pool from ipipgo
ip pool = ['123.123.123.123.123:8888', '234.234.234.234.234:8888']

with ThreadPoolExecutor(max_workers=5) as hitman:
    打工工.map(爬数据, ip池)

Proxy IP Pool Tips for Staying Fresh

IP pools tend to odorize (fail) after a long time and have to be replaced periodically. RecommendedDynamic Residential Proxy for ipipgoThe IP survival time of their family is twice as long as that of their peers. The actual test with their API interface, every 10 minutes automatically change a batch of IP, the success rate can be 98%.

Exception handling has to be played this way

Seen too many newbies plant themselves on timeout settings. Three pointers:① Don't exceed 15 seconds timeout ② Failure to retry up to 3 times ③ Automatic switching of IP poolsIt's a good idea to use ipipgo's smart routing feature. With ipipgo's smart routing feature, it will automatically cut to the alternate node when it encounters IP failure, saving a lot of effort.

def smart-switch(target function).
    def Wrapper(args, kwargs).
        for _ in range(3):: for
            try.
                return target function(args, kwargs)
            except.
                ipipgo.switch IP()
        raise Exception('Three times I've switched')
    return Wrapper function

QA time

Q: What should I do if my proxy IP often fails?
A: Use ipipgo'sReal-time monitoring servicesThey automatically check IP availability every minute in the background and automatically replenish new IPs when they fail.

Q: How to choose HTTP or SOCKS5 proxy?
A: Ordinary web crawling with HTTP is enough, if you encounter anti-climbing powerful website, on the ipipgo SOCKS5 enterprise-level proxy, penetration is strong three gears.

Q: Why does my request latency go up and down?
A: 80% are using low quality proxies. ipipgo'sIntelligent Routing TechnologyIt can automatically select the optimal line, and the delay fluctuation is controlled within ±50ms.

Performance Optimization Riot Operation

Don't be stupid and use a single thread! Try.Asynchronous Concurrent Programs + Agent PoolsThe combo. With ipipgo's asynchronous interface, the real test can handle 200+ requests per second, 8 times faster than the traditional way. Remember to add random delay in the code, too regular access is easy to be blocked.

import aiohttp
import asyncio

async def asynchronous crawler(proxy ip):
    async with aiohttp.ClientSession() as session.
        async with session.get(url, proxy=f'http://{proxy ip}') as resp.
            return await resp.text()

 Example of asynchronous access for ipipgo
tasks = [asynchronous-crawler(ip) for ip in ipipgo.get-async-ip-pool()]
await asyncio.gather(tasks)

As a final rant, don't just look at price when choosing a proxy service. A service like ipipgo can provideRequest Success Rate Guaranteerespond in singing7×24 technical responseThe only thing that can really help you solve the problem. After all, automation is afraid of turning over halfway, don't you think so?