
Why do I have to use a proxy IP for data collection?
Anyone who has engaged in hotel data collection knows that Booking.com's protection measures are stricter than the security of a five-star hotel. Last year, a buddy used his own home broadband to climb for three days in a row, and as a result, his IP was directly sent to the "small black room", and even the normal booking of hotels was affected. At this timeProxy IPs are like cloaks of invisibility for magic., allowing the collector to switch back and forth between identities.
Take a real case: a travel price comparison platform with ordinary proxy pool to catch Booking, on average, every 20 minutes was blocked once. Later, it switched to a dynamic residential IP (that is, our ipipgo's unique skill) and worked continuously for 8 hours without triggering an alarm. Here's a lesson in blood and tears--Don't use a data center IP, Booking's anti-scraping system is like a money detector, it's instantly recognizable!The
Practical tutorials: hands-on configuration of the collection environment
Here to teach you a dirt method, using Python's requests library + ipipgo proxy, three steps to get the basic configuration:
import requests
from itertools import cycle
proxy_pool = cycle(['ipipgo_residential_proxy1:port', 'ipipgo_residential_proxy2:port'])
def get_hotel_data(url).
proxy = next(proxy_pool)
try.
response = requests.get(url,
proxies={"http": f "http://{proxy}", "https": f "https://{proxy}"}, timeout=10), proxy = next(proxy_pool), timeout=10)
timeout=10)
return response.text
except.
print(f"{proxy} hangs, move to the next one")
Watch out for the three pits:
1. The request interval should be as fast and slow as normal human browsing.
2. It is better to bring a different User-Agent for each request.
3. Don't be tough when you encounter CAPTCHA, change ipipgo's node and come back.
Proxy IP Selection Guide to Avoid Pitfalls
Just draw a comparison table for you to understand:
| Agent Type | success rate | (manufacturing, production etc) costs | Applicable Scenarios |
|---|---|---|---|
| Data Center IP | <30% | lower (one's head) | Beginner's practice |
| Static Residential IP | 60% or so | center | low frequency acquisition |
| ipipgo dynamic homes | >90% | high | Commercial-grade acquisition |
Focusing on ipipgo'sIntelligent Rotation MechanismThis is not a fixed time to change IP, but a dynamic adjustment according to the response of the target site. For example, if you find a sudden decrease in the amount of return data, the system will automatically switch to a new IP, which is particularly useful in preventing blocking.
Frequently Asked Questions First Aid Kit
Q: What should I do if I always encounter 403 error?
A:First check whether the request header is with all Cookie and Referer, and then confirm whether the proxy IP is tagged. It is recommended to use ipipgo's IP cleaning service to automatically update the pure IP pool every month!
Q: Slow as a snail in acquisition?
A: 80% is using a low quality proxy. Test ipipgo's dedicated node is more than 3 times faster than ordinary proxy, remember to set keep-alive long connection in the code!
Q: What should I do if I can't catch all the data?
A: Booking's page structure often changes, it is recommended with Selenium + ipipgo's mobile IP. access with mobile traffic is not easy to be recognized, the pro-test collection of the complete rate can be 95% or more!
The Ultimate Anti-blocking Arcana
Finally, I'd like to share a trick: schedule your collection sessions in the3-5 a.m. at the targetThis is the time when Booking's server is under less pressure. At this time Booking's server pressure is small, the anti-climbing strategy will relax. Together with ipipgo's local real residential IP, disguised as a normal user to check the house price, basically can be unimpeded.
Recently discovered a tawdry operation - using ipipgo'sBrowser Fingerprinting ServiceWith the proxy IP, the details of time zone, language and screen resolution are disguised as real users, so that even if you visit 200+ pages continuously, the system will still think that it is an ordinary user who is comparing prices.

