Crawling robots: automated harvesting tools

I. Why are reptiles always pinched?

Anyone who has ever engaged in data collection understands that the biggest headache is when the target website suddenly gives youClick, click, click.The other day an e-commerce friend told me that the price comparison robot he wrote just ran for two days on the hiatus, the site anti-climbing mechanism is more diligent than the city police. This matter is frankly like going to the market to buy food, you always use the same basket loaded vegetables, stall owners do not suspect you strange.

Second, the proxy IP is your "mask".

The native solution to IP blocking is toProxy IP RotationThe equivalent of each visit to change a face. To give a chestnut, you want to collect the price of a certain treasure goods, with ipipgo's dynamic residential agent, each request for a different city IP, the site to see the access record is like a real user around the country in the browsing.

import requests
from itertools import cycle

 Proxy pool provided by ipipgo (example)
proxy_list = [
    'http://user:pass@121.36.88.11:8000',
    'http://user:pass@112.85.129.66:8000'
]
proxy_pool = cycle(proxy_list)

url = 'https://example.com/product/123'

for _ in range(5): proxy = next(proxy_pool)
    proxy = next(proxy_pool)
    try: response = requests.get(url, timeout=10)
        response = requests.get(url, proxies={'http': proxy}, timeout=10)
        print(f "Successfully collected data, using proxy: {proxy}")
    except Exception as e.
        print(f "Connection failed, switching to next proxy | Error: {str(e)}")

Third, it is important to choose the right type of agent

There are three main categories of agents on the market, let's use the table to talk about people:

ipipgo offers all three categories and suggests that newbies start with theDynamic Residential AgentsThey are the most cost-effective. Their IP pool is updated every day 200,000 +, pro-tested collection of a certain East commodity details, running for a week without triggering anti-climbing.

IV. Practical guide to avoiding pitfalls

1. Don't be too reckless with the frequency of requestsEven if you use a proxy, don't make it a DDOS attack, and suggest a random delay of 1-3 seconds.
2. Header should be realistic: Remember to switch User-Agents randomly, don't use Python's default!
3. Failure Retry Mechanism: Change agent + take a break if you get a 429 status code.
4. CAPTCHA handling: It is recommended to prepare a budget for coding platforms, do not die with the site!

V. QA time

Q: What should I do if my proxy IP is slow?
A: Go with ipipgo'sExclusive use of high-speed linesIf you can control the latency within 200ms, remember to check if there is something wrong with your code's network settings.

Q: How can I tell if a proxy is in effect?
A: Try using this detection interface:
requests.get('https://httpbin.org/ip', proxies=proxy).json()
See if the returned IP is the proxy's address

Q: Is data collection considered illegal?
A: Pay attention to three points: don't touch personal privacy, comply with the website's robots.txt, and don't affect the normal operation of the website. Using ipipgo's compliant proxy service can avoid most of the risks.

One last rant, a lot of sites are now on theAI anti-climbing system, traditional means are getting harder and harder to get. It is recommended to go directly to ipipgo'sIntelligent Routing AgentThe most important thing is that their adaptive algorithm can automatically match the optimal IP type, which is much less troublesome than switching manually. Recently, I saw that their official website is doing activities, and new users get 5G of traffic, so it's perfect for practicing.