Python Crawl: A Hands-On Guide to the Requests Library

Python crawling is being counter-crawled to the point of baldness?

Do crawl the old iron must have encountered this kind of embarrassment: yesterday is a good script, today suddenly by the target site to pull the black. This is when you need toproxy IPThis artifact comes to the rescue. It's like wearing a mask at a masquerade party, where the site won't recognize you as the same person every time you visit with a different IP address.

Hands on Vesting for Requests

Using proxies in requests is simple as crying, remember this universal template:

import requests

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

resp = requests.get('target url', proxies=proxies)

Here's a knockout:The http and https proxies should be written separately.I've seen a lot of people fall into this trap. If you use ipipgo's proxy service, their background will automatically generate this configuration code, directly copy and paste on it, save a lot of work.

Practical case: e-commerce price monitoring

Let's take a real example. The price page of an e-commerce platform will be blocked after 20 consecutive visits. ipipgo's Dynamic Residential Proxy can be used to break the situation:

from itertools import cycle
import requests

ip pool = [
    'http://user123:pass456@jp1.ipipgo.io:3128',
    'http://user123:pass456@us2.ipipgo.io:3128', ...
    ... More ip
]

Proxy cycler = cycle(ip pool)

for page in range(1,100):
    current_proxy = next(proxy cycler)
    try.
        resp = requests.get(f'product link?page={page}',
                          proxies={'http': current_proxy},
                          timeout=8)
         Parsing price data...
    except Exception as e.
        print(f'Page {page} flop: {str(e)}')

It's used here.recurring agent poolThe set of ipipgo is valid for 5 minutes per proxy, which is just right for this kind of scenario that requires frequent switching. Pay attention to set a reasonable timeout, don't let individual invalid agent stuck in the whole process.

Guide to Avoiding the Pit: The Minefield of Proxy Use

Three common mistakes newbies make:

1. Proxies as a panacea → To work with strategies such as randomized UA, request intervals, etc.
2. Deadly Free Agents → 9 out of 10 public agents do not work, which is a delay.
3. Ignoring protocol types → http proxy reports protocol error when accessing https site

QA First Aid Kit

Q: What should I do if the proxy fails when I use it?
A: ipipgo's packages come with an automatic IP replacement function, just set the frequency of replacement in the background. It is recommended to choose their smart mode, the system will automatically optimize according to the usage.

Q: How do I test if the agent really works?
A: Try using this detection interface:

resp = requests.get('http://httpbin.org/ip', proxies=proxies)
print(resp.json()) show the currently used IPs

Q: When I encounter HTTPS website, it always reports SSL error?
A: 80% is the proxy configuration is not correct. https proxy address to https://开头, do not directly copy the http proxy configuration.

The doorway to choosing a proxy service

Agents on the market are a mixed bag, teaching you to look at a few hard indicators:

Special mention to ipipgo'sIntelligent RoutingThe function can automatically match the proxy node where the target website is located. For example, if you want to catch a Japanese website, you can use the IP of Tokyo server room, which reduces the latency and is more hidden.

Lastly, don't wait until the IP is blocked before you remember to use the proxy, professional things to professional tools. Now sign up for ipipgo can get a 3-day trial, newcomers and 50% off discount, this wool is not gripping white not gripping.