Last week a do e-commerce data capture team to find me to save the day: "just on the line of the new crawler, 1 hour was blocked 200 IP!" This is most likely that the proxy middleware is not good, today to teach you the development of the hand!Business-class agent middleware, giving the crawler survival rate a boost of 901 TP3T.
I. The pitfalls of the base version of middleware
The random proxy selection method taught in online tutorials is long outdated! A financial company used this method to grab stock data and it triggered three fatal problems:
concern | result | real case |
---|---|---|
IP Reuse | Triggering Website Risk Control | A price comparison platform lost 5,000 IP in 1 hour |
Failure Retry Mechanism | Infinite Loop Stuck | Crawler process occupies 100%CPU |
No geographic matching | Inaccurate data collection | Airfare collection error of up to 40% |
II. Commercial-grade middleware development
Truly practical middleware needs to include these five modules:
1. Intelligent rotation system: Access to ipipgo's API implementationRequest-level IP switchingA team that does social data crawling used this method to reduce IP consumption by 73%
2. Failed fusion mechanism: automatically sleep for 2 hours when an IP fails 3 times in a row to prevent triggering website alarms
3. Geographical orientation function: Automatically select local residential IPs based on target websites, a travel platform uses this feature to improve data accuracy
4. Protocol adaptation: Simultaneously support HTTP/HTTPS/SOCKS5 proxies to solve the problem of crawling websites with mixed protocols
5. Flow statistics panel: Real-time monitoring of the success rate of each IP request, quickly locate the problem node
Third, ipipgo integration practice
Take care of proxy integration in three lines of code with our API:
# Add in middlewares.py def process_request(self, request, spider): request.meta['proxy'] = 'http://api.ipipgo.com/get_proxy' request. headers['X-Auth-Key'] = 'your_api_key'
A cross-border e-commerce platform is accessed and realized:
- Average daily requests increased from 500,000 to 3 million
- IP Cost Reduction 65%
- Capture accuracy stabilized at 99.2%
IV. Special anti-banning techniques
Combined with the ipipgo feature for deep optimization:
① Dynamic IP pool warm-up: Get the next batch of IPs 15 minutes in advance and pre-detect them to ensure 0-second switching
② TCP Fingerprint Disguise: Emulating Chrome's network features to bypass deep protocol detection
③ Request traffic shaping: According to the target website traffic characteristics automatically adjust the request interval, a search engine crawling team to use this method to run continuously for 3 months zero ban!
V. Performance Optimization Comparison Table
optimization item | Self-Built Agents | ipipgo program |
---|---|---|
IP acquisition speed | 3-5 sec/pc | 0.2 sec/pc |
Fault response | manual handling | Automatic switching + compensation |
Concurrency support | ≤500 threads | 10,000 level concurrency |
High Frequency Questions and Answers
How to prevent wastage of IP resources?
Using ipipgo'sPrecision Deduction ModeThe data company saved 471 TP3T by billing only 200 status codes.
Do I need to maintain my own IP pool?
No need at all! Our pool of residential IPs is automatically refreshed every 5 minutes with aAI screeningEliminate suspicious IPs
Do high concurrency scenarios lose packets?
ipipgo's BGP line supports 10Gbps bandwidth, measured 2000 threads concurrent requests 0 packet loss
Sign up for ipipgo now to getDedicated Scrapy Integration DocumentationThe technical team provides one-on-one middleware debugging support. Remember: leave the professional stuff to the professional tools, don't waste your life on basic functionality!