BeautifulSoup library: BeautifulSoup proxy resolution scheme

When Crawler Meets Copper and Iron Walls: How BeautifulSoup Leverages Proxy IP to Break the Mold

What's the worst thing that people fear when they're disassembling a web page with BeautifulSoup? Nine out of ten will slap their thighs:The IP is blocked!Just like going to the market to buy food, just after asking three prices, the security guards were kicked out, who can stand it? This is the time to bring out our secret weapon - proxy IP.

Survival Rules for Webpage Disassembly Gurus

BeautifulSoup this tool is really good, but it's like holding a master key to open the lock, always have to be careful not to be captured by the security camera. Suppose we want to monitor the price fluctuations of an e-commerce platform:

import requests
from bs4 import BeautifulSoup

url = 'https://example.com/products'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
 Suddenly I get a 403 Forbidden...

It's time to give the crawlervestThe ipipgo residential agent is like a real person shopping around, changing to a new face every time you visit, and the site can't tell if it's a real person or a program.

Putting a morphing device on a reptile

The most reliable proxy configuration posture in the real world:

proxies = {
    'http': 'http://user:pass@gateway.ipipgo.io:9020',
    'https': 'http://user:pass@gateway.ipipgo.io:9020'
}

try.
    response = requests.get(url, proxies=proxies, timeout=10)
    soup = BeautifulSoup(response.text, 'lxml')
except Exception as e.
    print(f "Something is wrong: {e}")
     Automatic switching of ipipgo's next IP node

Here's one.Guide to avoiding the pitThe average response time of ipipgo's proxy is only 800ms, so setting a timeout of 10 seconds is enough.

The Seven Injuries Fist in actual combat

Recently, when I was helping a client to make an e-commerce price comparison system, I encountered a typical problem: the other website blocked the IP every 5 minutes, and then I used ipipgo'sdynamic rotation strategy, with the following tricks for a perfect solution:

from itertools import cycle

ip_pool = cycle(['ip1.ipipgo.io','ip2.ipipgo.io','ip3.ipipgo.io'])

for page in range(1,100).
    current_ip = next(ip_pool)
    proxies = {'https': f'http://user:pass@{current_ip}:9020'}
     Remember to add random delays here...

trickchange shape and change shadow (idiom); dramatic change of directionGreat method, with ipipgo's 50 million IP pool, to keep your opponent on the defensive. Be careful to stop randomly like a real person browsing, don't use fixed time intervals.

Guidelines on demining of common problems

Q: What should I do if the proxy often times out the connection?
A: 80% is using a free proxy, it is recommended to change ipipgo's enterprise level line. We measured the success rate of its HTTP connection can be 99.2%

Q: Do I need to collect data from overseas websites?
A: ipipgo's global residential agent covers 190+ countries, remember to select the corresponding region's export node in the background

Q: How can I tell if a proxy is in effect?
A: Put a check in the code:

test_url = 'https://api.ipipgo.com/ip'
resp = requests.get(test_url, proxies=proxies)
print(f "Current exit IP: {resp.text}")

Putting a cloak of invisibility on the program

One last trick: use ipipgo's proxy in combination with Selenium. This way, even the browser fingerprints are changed, suitable for dealing with those sites with advanced anti-crawl. However, you should remember to clear your browser cache regularly, otherwise your armor will be exposed even if you wear it for a long time.

In the end, the proxy IP is like the programmer's nightshirt. If you use it well, the data collection will be unimpeded; if you use it badly, it will be blocked in minutes and you will doubt your life. Choosing a reliable service provider like ipipgo is equivalent to buying an accident insurance policy for the crawler, which saves your heart and effort.