Booking site crawling: proxy IP to solve the anti-climbing mechanism

Why do booking sites always treat you like a robot?

If you are a frequent crawler of data, you must have encountered this situation: obviously, you operate manually, but the website pops up captcha or even IP blocking. last year, when I helped travel agencies to catch the price of air tickets.The same IP is hacked after 20 consecutive visitsI found out later that many booking sites have installed "electronic gatekeepers" to identify IPs with high-frequency visits.

One time I was debugging code at 3am and suddenly noticed a pattern:Anti-crawling mechanisms on websites are like subway security checksIf you are a normal passenger (low-frequency access), you will be released directly, but if you are carrying a large bag and frequently enter and exit (high-frequency request), you will be keyed to check. This time to find a "double" (proxy IP) to help us through the security check is particularly important.

How does a proxy IP help you cover?

In a nutshell.A different "ID" for each visit.. For example, with ipipgo's proxy service, they have millions of addresses in their IP pool, we can do this:

import requests
from itertools import cycle

proxy_pool = cycle(ipipgo.get_proxies()) get dynamic IP pool from ipipgo

for page in range(1, 50): proxy = next(proxy_pool): proxy = next(ipipgo.get_proxies())
    proxy = next(proxy_pool)
    try.
        res = requests.get('https://ticket-site.com',
                         proxies={"http": proxy, "https": proxy})
        print(f "Page {page} crawled successfully, using IP:{proxy}")
    except.
        print("Triggered backcrawl, automatically switching to next IP")

The key to this code is theCycling through different IPsIt's like playing "whack-a-mole" with a new hammer every time it pops up. ipipgo's IP survival time is controlled at 15-30 minutes, which matches the anti-crawl time window of most websites.

What are the doors to look for when choosing an agency service?

There are many agents on the market, but you have to pay attention to three things to bypass the back-crawl of the booking site:

Particular attention should be paid toGeographical distribution of IPsBefore helping customers to grab hotel data, using pure Beijing IP to access the hotel page in Sanya, the probability of triggering anti-climbing is higher than using the local Hainan IP 40%. ipipgo supports customized export IPs by city, and this feature is quite practical.

Practical anti-blocking guide

Share a few lessons learned in exchange for blood and tears:

1. Don't put your eggs in one basket.: Random intervals of 3-8 seconds per visit, not fixed intervals
2. half true and half false: Mix in normal browser headers, don't use all Python defaults.
3. timely stop-loss: Immediate abandonment of an IP after 3 consecutive failures

It's safer to set up the request header like this, for example:

headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/{} Safari/537.36".format(
        
    "Accept-Language": "en-US,en;q=0.9,zh-CN;q=0.8"
}

Frequently Asked Questions QA

Q: What should I do if I use a proxy IP and still get blocked?
A: Check the frequency of IP switching, it is recommended to change IP every 5-10 requests. ipipgo background can set the automatic refresh frequency

Q: Slow proxy IP speed affects efficiency?
A: choose to support concurrent service providers, ipipgo allows up to 500 threads to work at the same time, remember to control the number of concurrency do not exceed the site to withstand the range of

Q: What about websites that require a login?
A: The same session is maintained with the same export IP, ipipgo provides "IP Binding" function, which can fix the IP to maintain the login status for 2 hours.

As a final rant, backcrawling and backcrawling are like a game of cat and mouse...The key is to make the site feel like you're a normal user.. With ipipgo and other reliable proxy services, along with appropriate request strategies, you can basically handle 90% booking sites. Recently found that they are new on the model of billing by the number of requests, especially friendly to small-scale crawlers, do not have to worry about IP exhaustion waste.