IP Address Router: Distributed Crawler Core

Why is your crawler always blocked? Try installing a "face changer" for your machine.

The brothers who do data collection should have encountered this situation: just build a crawler script, then the target site will give you a face to block the IP, this is the same as we go to the supermarket to try to be recognized, always catching the same face to make efforts, who can stand it? This time you have to give the crawler to install aIP address rotator, let it be like a Sichuan opera changing its face every now and then with a new face.

Traditional stand-alone crawler is like taking a fixed pass into the venue, more often than not the security guard will stop you. Distributed crawler with IP rotation, equivalent to each crawler brother issued a different pass. For example: we use ipipgo's dynamic IP pool, each request for a different exit IP, the site can not distinguish between real people visit or machine collection.

import requests
from itertools import cycle

 Proxy interface provided by ipipgo
PROXY_API = "https://api.ipipgo.com/getproxy?type=http"

def get_proxies():
    response = requests.get(PROXY_API)
    return [f "http://{ip}" for ip in response.json()['proxies']]

proxy_pool = cycle(get_proxies())

for _ in range(10): proxy = next(proxy_pool)
    proxy = next(proxy_pool)
    try: response = requests.get('destination URL')
        response = requests.get('destination URL', proxies={"http": proxy})
        print(f "Successfully fetched data using {proxy}")
    except.
        print(f"{proxy} failed, automatically switching to the next one")

Second, the choice of proxy IP is like buying food these three pits must not step on

The market is a mixed bag of agency services, and newbies are prone to fall into these pits:

Special note: ipipgo'sIntelligent Fusing MechanismVery practical. When an IP fails 3 times in a row, the system automatically pulls the black 2 hours, much more efficient than manual troubleshooting. It's like installing an obstacle avoidance radar for the crawler, and automatically detouring when it encounters obstacles.

Third, hand to teach you to match a "splitter" of the reptile

Configuring a distributed crawler is not really as complicated as you might think, remember these three core steps:

1. building blocks of nodes: Deploy crawler instances on 5 servers with Docker, not all in the same server room
2. Installation of flow scheduler: Each instance mounts ipipgo's proxy middleware
3. Establishment of a rotation rule: Setting switching intervals ranging from 1-5 minutes according to the strength of the target site's anti-climbing.

Test case: an e-commerce price monitoring project, before and after the use of ipipgo comparison:

Fourth, the old driver only know the performance optimization skills

Don't think that all is well when you put on the agent, these details are not paying attention to the car as usual:

- IP Preview: New to the pool, do 20 minutes of low-frequency requests first, don't just come up and rush!
- protocol matching: https site must use https proxy, do not try to save all the http
- geostrategy: Local IPs for domestic sites and overseas nodes for cross-border operations.
- traffic camouflage: Randomly generate User-Agent, don't make headers too clean