How Python crawler builds free proxy IP pool for data crawling?

First, why proxy IP pool can solve the crawler problem?

When many friends write crawlers in Python, the biggest headache is frequently blocked IP. it's like when you go to the supermarket to buy something, just take two items and then the clerk is kicked out - you can't complete the task at all. Proxy IP pool is the key to solve this problem, it allows you to be like a customer with countless different faces, and continuously complete the data collection.

There are two main ways to get a proxy IP on the market:Free Resourcesrespond in singingProfessional Services. Free resources are like public restrooms, although you don't need to pay, but you may have to wait in a long line, and hygiene is not guaranteed. And like ipipgo such professional services, just like their own bathroom, readily available and clean, especially when you need to work steadily, professional proxy IP is a reliable choice.

Two, three steps to get available proxy IP

Step 1: Collect free agents
The requests library allows you to quickly grab data from public proxy sites. Here's a tip: choose sites that are updated frequently, like every 10 minutes.

import requests
from bs4 import BeautifulSoup

def get_free_ips():
    url = 'a proxy list site'
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
     Parsing IPs and ports...
    return ip_list

Step 2: Verify IP Validity
Collected IPs are like uninspected couriers that must be unpacked and inspected. Multi-threaded verification is recommended here to quickly screen out invalid IPs.

import concurrent.futures

def verify_ip(ip).
    try: proxies = {'http': f'{ip}'}
        proxies = {'http': f'http://{ip}'}
        test_url = 'http://httpbin.org/ip'
        resp = requests.get(test_url, proxies=proxies, timeout=5)
        return ip if resp.status_code == 200 else None
    except.
        return None

with concurrent.futures.ThreadPoolExecutor() as executor: results = executor.map(verify)
    results = executor.map(verify_ip, ip_list)
    valid_ips = [ip for ip in results if ip]

Step 3: IP Pool Maintenance
It is recommended to use Redis for storage, set the expiration time to automatically eliminate the old IP. also set a timed task to automatically replenish the new IP in the early morning every day.

III. The right way to open professional agency services

When projects require higher stability, we recommend using ipipgo's professional proxy service. Their wide coverage of residential IP resources is especially suitable for projects that require long-term stability.

Example of use:

import requests

def get_data(url):
    proxies = {
        'http': 'http://用户名:密码@gateway.ipipgo.com:端口',
        'https': 'http://用户名:密码@gateway.ipipgo.com:端口'
    }
    response = requests.get(url, proxies=proxies)
    return response.text

Compared to free IPs, ipipgo's proxies have three distinct advantages:

IV. Frequently asked questions

Q: How long will the free agent last?
A: Most survival time is from 30 minutes to 2 hours, and some quality IPs may survive for half a day. It is recommended to update the IP pool every hour.

Q: How can I prevent being recognized by the website?
A: Three key points: ① change different IP for each request ② set random request interval ③ with User-Agent rotation. You can enable automatic IP switching when using ipipgo.

Q: How do I choose an agent for an enterprise level program?
A: According to the size of the business to choose, small projects can be used free proxy + ipipgo trial program, medium and large projects are recommended to directly use ipipgo's customized services, their dynamic residential IP support on-demand expansion.

Finally, developers are reminded that when choosing a proxy service, focus on theIP purityrespond in singingProtocol SupportThe first thing you need to do is to check your proxy protocols. Some websites detect proxy protocol types, and ipipgo's all-protocol support effectively bypasses such detection, which is what a professional tool should do.