
When crawler meets anti-crawler, is your data crawl okay?
Do data collection brothers understand, the most afraid of is the target site suddenly give you an IP ban. Last week, Lao Zhang's team encountered a bad thing, they used Python to write a crawler program suddenly large-scale errors, and after half a day's investigation, they found that the other site had enabled theDynamic IP blacklisting mechanismI don't know what to do. At this point, if you don't have a backup plan ready, the whole project has to come to a halt.
import requests
proxies = {
"http": "http://username:password@gateway.ipipgo.com:9020",
"https": "http://username:password@gateway.ipipgo.com:9020"
}
response = requests.get("destination URL", proxies=proxies)
The above code looks simple, but there are a lot of doors in it. Many newbies will directly fill in the free agent, the result is half an hour to be blocked. This time you have to find like ipipgo this kind of professional service provider, their family'sCommercial-level agent poolWith millions of IPs updated daily, it's more than ten times more reliable than public proxies.
What are the hard metrics to look for when choosing a proxy IP?
There are many proxy service providers on the market, but there are not many that can really fight. Let's take ipipgo as an example and list a few selection criteria for the guys:
life cycle: normal proxies survive for 3-6 hours, ipipgo's business proxies can last for more than 24 hours!
responsiveness: Measured average response within 800ms, 30% faster than peers
Protocol Support:HTTP/HTTPS/SOCKS5多协议覆盖
Geographical distribution: 200+ countries and regions nodes, especially suitable for the need of localized collection scenarios
Five guidelines for avoiding pitfalls in the real world
1. Don't put your eggs in one basket.: It is recommended to enable 3-5 proxy channels at the same time, ipipgo's backend can be set to automatically switch the policy
2. Camouflage should be in place: remember to randomize the User-Agent in the request header, don't let the site see the pattern!
3. Control request frequency: Setting random intervals of 2-5 seconds to simulate a real person's operation
4. Exception Retry Mechanism: automatically switch IPs when encountering a 403 error, add a retry logic to the code
5. Logging can't be understated: Record the usage of each IP for easy troubleshooting
Real Case: E-commerce Price Monitoring System
A cross-border company built a price tracking system with ipipgo and saved 200,000 operating costs in 3 months. Their technical program is worth referring to:
① Distributed deployment of 10 collection nodes
② Each node is assigned 50 dynamic proxy IPs.
③ Setting intelligent fusing mechanism (automatic alarm for error rate exceeding 5%)
④ Automatic generation of daily IP health reports
Frequently Asked Questions Q&A
Q: What should I do if my proxy IP fails frequently?
A: It is recommended to use ipipgo'sIntelligent Routingfunction, the system will automatically eliminate failed nodes, the measured availability can be maintained at 98% or more!
Q: How to handle high concurrency scenarios?
A: ipipgo supports API dynamic acquisition of proxies, with connection pooling technology, we have a customer to do over 3000 + requests per second!
Q: How is data security guaranteed?
A: Their proxy service uses two-way encrypted tunnels and also supports whitelisting IP bindings, which is much safer than using public proxies
In the end, choosing the right proxy service provider is half the battle. Like ipipgo, a veteran vendor who has been doing this for seven or eight years, the stability of service is really much better than the new entrants. Recently, they are also engaged inFree Trial ActivitiesIf you're a data collector, you should try it out.

