IPIPGO Crawler Agent Highly Concurrent Crawler IP Solution: Mega Request Throughput Optimization

Highly Concurrent Crawler IP Solution: Mega Request Throughput Optimization

A Practical Guide: Breaking the Bottleneck of Millions of Crawler Throughput with Residential IP Pools When the crawler business needs to handle millions of requests per day, traditional standalone deployments will encounter fatal bottlenecks...

Highly Concurrent Crawler IP Solution: Mega Request Throughput Optimization

Practical Guide: Residential IP pools to break through the bottleneck of millions of crawler throughput

When the crawler business needs to handle millions of requests per day, traditional single-server deployment will encounter a fatal bottleneck. Measurement data shows that even if a single server is configured with 100 threads, the average daily request limit is difficult to exceed 300,000 times. At this time, we must use a distributed architecture + high-quality proxy IP combination program.

Core pain points and solution ideas

In highly concurrent scenarios, request failures come from three main levels:

Type of problem concrete expression prescription
IP restriction Single IP request overload triggers blocking Automatic switching of residential IPs
network latency Response timeout leads to throughput degradation Intelligent scheduling of low latency nodes
Protocol Support Special scenarios require customized protocols Protocol-compatible solutions

We recommend using ipipgo'sDynamic Residential IP PoolThe real home broadband network environment can effectively circumvent the anti-climbing mechanism, and with the self-developed intelligent scheduling system, it can automatically match the best exit nodes.

Distributed Architecture Building Essentials

A master-slave architecture is recommended:

  1. Scheduling server: responsible for task distribution and IP pool management
  2. Cluster of worker nodes: at least 5 servers deployed
  3. IP Pool Service: It is recommended to call ipipgo's API interface directly, their residential IP pool contains90 million+ real IP resourcesSupport for on-demand dynamic calls

Example of key parameter settings:

 Single working node configuration
Maximum concurrency: 200
Duration of single IP use: 3-5 minutes
Failure retry times: 3 times
Request interval float: 0.5-1.5 seconds

Intelligent Dispatch System Design

The following functional modules are proposed to be implemented in the scheduling layer:

  • IP Quality Scoring System: Dynamically adjust weights based on response rate, success rate
  • Geographic scheduler: automatically assigns local residential IPs for region-specific requests
  • Protocol adapter: support HTTP/HTTPS/SOCKS5 full protocol switching

API support for ipipgoPrecise geographic filteringFunctionality to specify city-level IP assignments, which is especially important for crawler projects that need to simulate the distribution of real users.

Practical QA Analysis

Q: How can I avoid IP bans in bulk?
A: Adoptiondynamic rotation strategyWith a single IP usage time limit of 5 minutes, ipipgo's residential IP pool provides millions of unduplicated IP resources per day.

Q: What should I do if I encounter a surge of CAPTCHAs?
A: Immediately switch the IP type and adjust the data center IP to residential IP. ipipgo supporthybrid IP modelThe CAPTCHA defense can be broken by automatically switching between different IP types.

Q: How do you ensure data collection integrity?
A: Establish a three-tier retry mechanism: instant retry (same IP), delayed retry (change IP), and manual verification. Cooperate with ipipgo'sRequest Success Rate Guarantee ServiceThe IP group can be designated as highly available for business-critical operations.

Through the reasonable architecture design and ipipgo professional proxy services with, we have helped many enterprises to achieve a daily average of 8 million + requests stable operation. It is recommended to first pass theFree TrialTest the adaptability of specific business scenarios, and then gradually expand the cluster size.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/19333.html
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作者: ipipgo

Professional foreign proxy ip service provider-IPIPGO

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