Pure IP data collection application | Pure IP data collection anti-blocking actual case

I. Why do I need a pure IP for data collection?

Many people have encountered data collection when doingIP blockedThe problem. For example, when crawling the price of e-commerce platforms, continuous operation with a local IP for half an hour may trigger the anti-climbing mechanism. This timePure Proxy IPIt's like wearing a cloak of invisibility - accessing a target website through a real home network IP in a different region is considered by the system as normal user behavior.

In the case of an e-commerce agency, for example, they triggered a ban for three consecutive days when they used a local server to capture competitor data. Later, they switched to usingipipgo's Residential Dynamic IP, randomly switching between different country IPs for each acquisition task, and running for two weeks without being recognized. The key here isReal Residential IPof invisibility and the ipipgo providesIP survival time controlfunction that simulates human operating intervals.

Second, the three core skills in the actual combat of anti-sealing

Tip 1: Dynamic IP Rotation Strategy

A social platform content monitoring team had been blocking 30+ IPs per day. they were using ipipgo'sDynamic Residential IP PoolThe IP switching is automatic every 5 minutes, and with the request header randomizer, the blocking rate is successfully reduced to 1-2 times per day.

Tip 2: Accurate IP geographic matching

When doing localized service data collection, it is recommended to choose the IP of the target region. for example, to collect restaurant reviews in a US state, use ipipgo'sU.S. Residential IPlibrary, filtering IPs by city dimension, and collecting 401 TP3T of data completeness enhancement.

Tip 3: Flow Control and Behavioral Simulation

A financial data company through ipipgo'sRate limitingThe function controls the request frequency within the industry standard threshold, and with the mouse movement track simulation plug-in, the data request behavior is closer to the real person's operation.

Third, the real scene solution comparison

Case 1: Cross-border e-commerce price monitoring

A seller monitors the prices of goods in 6 countries at the same time, using ipipgo'smultinational IP poolPrograms:

• Create separate IP channels for each country
• Setting the time zone synchronization access time
• Enable real-time IP quality monitoring

Case 2: Public Opinion Monitoring System Construction

Opinion analytics firm through ipipgo'sAPI interfaceAccess Proxy Service, Realization:

• Automatic elimination of high-risk IPs
• Allocation of IP resources by platform type
• Automatic fuse for abnormal flow

IV. Frequently Asked Questions QA

Q: Should I choose dynamic or static IP for collecting different websites?
A: content-based websites (such as news stations) are recommended to use dynamic IP rotation; platforms that require logging in (such as enterprise back-office) are recommended to ipipgoLong-lasting static IP, maintaining session continuity.

Q: How to detect whether the proxy IP is recognized by the target website?
A: provided by ipipgo backstageIP Health DetectionTool to view IP availability, response rate and historical blocking records in real time.

Q: What should I do if I encounter frequent CAPTCHA pop-ups?
A: Firstly, reduce the frequency of collection, and secondly, through ipipgo'sHigh Stash Residential IPIn conjunction with the CAPTCHA recognition service, we finally filter the quality IP segments with low CAPTCHA trigger rates among the target regional IPs.

V. Key elements of long-term stability

Based on the 300+ enterprise cases we've served, there are three key elements to data collection success rate improvement:

1. Choose a provider with a wide geographical coverage (ipipgo supports 240+ countries)
2. Residential IP share over 90% (avoiding data center IP)
3. IP management system with automation

A publicly traded company is using ipipgo'sIntelligent RoutingAfter the function, the isolation of IP resources of different business lines was realized, and the IP blocking rate of core data collection service dropped to less than 5 times per month.