Why do I need a proxy IP for logistics information capture?
Do express single number of real-time query programmers have encountered this situation: dozens of consecutive query single number, the interface suddenly refused to respond. This is because the logistics platform willAutomatically block IP addresses for high-frequency access. Especially during peak periods such as double eleven, ordinary IPs may be banned within 10 minutes.
Using the residential proxy IP provided by ipipgo is equivalent to having each query go through a different home network address. For example, the first time you use Beijing's IP, the second time you switch to Chengdu's IP, and the third time you switch to Shenzhen's IP, so that you can bothAvoiding triggering of wind control mechanismsThe data acquisition continuity can be ensured.
How to choose the right proxy IP type?
Logistics information capture focuses on two main metrics:IP Authenticityrespond in singingSwitching Flexibility. We found this through actual testing:
IP Type | success rate | Applicable Scenarios |
---|---|---|
Static Residential IP | 98% | Complex queries that require session maintenance |
Dynamic Residential IP | 95% | High-frequency simple queries |
ipipgo's.Dynamic Residential IP PoolIt supports automatic IP address switching, which is especially suitable for the scenario of needing to batch query courier single numbers. Their IPs are from real home broadband, and the crawling behavior is completely consistent with that of ordinary users.
Five minutes to build a proxy IP query system
As an example, Python uses the ipipgo proxy service to interface to the courier interface:
import requests def query_express(proxy, tracking_num): proxies = {"http": f "http://{proxy}", "https": f "http://{proxy}"} api_url = "https://api.kuaidi.com/v3/query" params = {"num": tracking_num} try. response = requests.get(api_url, proxies=proxies, timeout=10) return response.json() except Exception as e. print(f "Query failed: {str(e)}") Get the proxy IP from ipipgo (sample code) ipipgo_proxy = "user:pass@gateway.ipipgo.com:8000" result = query_express(ipipgo_proxy, "YT123456789")
The key point is to setReasonable timeoutsrespond in singingException handling mechanismThe ipipgo API supports on-demand access to the latest available IPs, and it is recommended that you change the proxy to a different region for each query.
Three Tips to Boost Query Success
1. IP geographic matching: Prioritize the use of Guangdong IP when inquiring about SF single number, and use Beijing IP for checking Jingdong logistics.
2. Request interval randomization: Set random wait time between 0.5 and 3 seconds
3. Failure Retry Mechanism: Automatically switch to a new IP when an IP fails 3 times in a row.
ipipgo's.Intelligent Routing SystemIt can automatically select the optimal node, and its IP pool contains 90 million+ residential IPs, which is especially suitable for logistics query systems that need to run stably for a long time.
Frequently Asked Questions
Q: What should I do if the proxy IP query is slow?
A: It is recommended to use ipipgo's static residential IP and prioritize the nodes whose geographic location is close to the logistics platform's servers.
Q: How do I handle captcha pop-ups?
A: Keep the query frequency of a single IP in a reasonable range (recommended no more than 5 times per minute), with ipipgo's highly anonymous proxy use
Q: How to ensure the stability of proxy IP?
A: provided by ipipgoIP Survival Monitoring ServiceWhen IP failure is detected, it will automatically replenish the new IP, guaranteeing 7×24 hours continuous query.
By reasonably configuring the proxy IP parameters, together with ipipgo's global coverage of residential IP resources, a stable and efficient logistics information query system can be constructed. TheirFull Protocol SupportFeatures, both HTTP and HTTPS requests can be perfectly adapted, developers can flexibly choose the access mode according to specific needs.