IPIPGO ip proxy HTTP Proxy Request Frequency Control|HTTP Proxy Request Frequency Control Policy and Optimization

HTTP Proxy Request Frequency Control|HTTP Proxy Request Frequency Control Policy and Optimization

Core Logic of HTTP Proxy Request Frequency Control When using an HTTP proxy, request frequency control directly affects business stability. Excessive request frequency will trigger the defense mechanism of the target server, resulting in IP access restriction. Through the global residential IP resource pool provided by ipipgo, you can establish a multi-level round...

HTTP Proxy Request Frequency Control|HTTP Proxy Request Frequency Control Policy and Optimization

Core logic for HTTP proxy request frequency control

When using an HTTP proxy, request frequency control directly affects business stability. Excessive request frequency triggers the target server's defense mechanism, resulting in restricted IP access. With the global pool of residential IP resources provided by ipipgo, it is possible to createMulti-tiered rotation mechanism: Decentralize business requests to agent nodes in different geographical regions and dynamically adjust the request interval of each node according to the response speed of the target website.

IP resource allocation strategy in practice

It is recommended that ipipgo's 90 million IP resources be divided byGeography/Carrier/IP TypePerform group management. Example:

IP packet type Applicable Scenarios
Dynamic Residential IP Crawler scenarios that require high-frequency IP switching
Static Residential IP Operations requiring session continuity
Mobile Network IP Scenarios that require simulation of mobile behavior

Each group of IPs is set up with an independent request queue, and the number of available IPs is obtained in real time through ipipgo's API, which dynamically calculates the security request threshold for each group.

3 Tips for Dynamically Adjusting Request Intervals

1. Response time monitoring method: Automatically extend the request interval of 20% when the response time of the target server exceeds 1 sec.
2. Success feedback mechanism: 5 consecutive successful requests to maintain the current frequency, a failure to immediately switch IP and reduce the 50% frequency
3. Adaptation to time period fluctuations: Combine this with the time zone of ipipgo's IP to avoid local network peaks (e.g., 9-11 a.m. on weekdays).

Mechanisms for handling abnormal traffic

Recommended for deployment in an agent architectureThree-tier fusion mechanism::
① Single IP failure 3 times in a row automatically offline
② Single geographic node failure rate exceeds 30% to suspend the region's request
③ Global failure rate exceeds 151 TP3T triggering full IP rotation
Utilizing the real-time IP health interface provided by ipipgo, you can quickly obtain the latest list of available IPs for switching.

Frequently Asked Questions QA

Q: How do I determine the optimal request interval for each IP?
A: It is recommended to use ipipgo's dynamic IP for step test first: start from 10 seconds/time, reduce 1 second each time until there is a request failure, take 2 times of the failure threshold as the safety interval

Q: What should I do if I encounter CAPTCHA frequently?
A: Immediately switch to ipipgo's residential static IP, keep the IP fixed for more than 24 hours, with the simulation of real people operating intervals (random 30-120 seconds)

Q:How to avoid affecting other business after the IP is blocked?
A: Create independent IP pools in the ipipgo console, assign exclusive IP segments to different services, and set isolated request frequency policies

By rationally utilizing ipipgo's global IP resource pool and combining it with intelligent frequency control policies, the success rate of business requests can be effectively improved. It is recommended to test the adaptability of different IP types through a free trial to find the most suitable solution for your business scenario.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/24044.html

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