
Why is it important to use proxy IPs for market intelligence gathering?
The biggest headache when doing competitor price monitoring is the anti-crawl mechanism of the target website. When your collection frequency is too high, the server IP will be blocked, resulting in data interruption or even account blocking. Many companies use local servers to collect directly, and as a result, the wind control is triggered in less than three days.Distributed Proxy IPto simulate real user behavior.
Take an e-commerce platform price monitoring as an example, ordinary IP can only request data 20 times per hour. Through the ipipgo provided90 million + residential IP pools, the request can be decentralized to IP addresses in different regions and different device types. For example, use the U.S. Texas resident IP to crawl 10 times, switch to Japan Tokyo IP to continue collection, both to maintain the efficiency of data acquisition, but also to avoid triggering the anti-climbing rules.
Three core metrics for choosing a proxy IP
The quality of agent service providers in the market varies, and these three indicators directly affect the data collection effect:
| norm | Bad agent. | Quality agents (e.g. ipipgo) |
|---|---|---|
| IP purity | Data center IPs with a high percentage of blacklists | Real home broadband IP, pass rate over 98% |
| Protocol Support | HTTP only | Socks5/HTTP/HTTPS full protocols |
| Geographical coverage | 30+ countries | Precise positioning in 240+ countries and regions |
Particular attention should be paid toIP type selectionDynamic residential IP is suitable for frequent switching scenarios, such as real-time price tracking, while static residential IP is suitable for login data collection that needs to maintain session status. ipipgo provides both modes at the same time. Dynamic residential IPs are suitable for scenarios that require frequent switching, such as real-time price tracking, while static residential IPs are suitable for login-based data collection that requires maintaining session state. ipipgo provides both modes, which can be switched at any time in the background.
Build a Competitive Monitoring System in Three Steps
1. Configuring Proxy Middleware: Integration of the ipipgo API in the crawler framework, it is recommended to set the automatic switching interval to 5-10 minutes
2. Setting up geolocation rulesFor example, when monitoring the Southeast Asian market, polling uses residential IPs in Singapore, Malaysia, and Vietnam.
3. Exception handling mechanism: When a 403/503 status code is encountered, immediately switch to a new IP and retry the request
Test case: after a cross-border e-commerce platform used this method, the average daily collection volume increased from 20,000 to 500,000, and theProbability of IP blocking decreases 92%The
Frequently Asked Questions QA
Q: What should I do if I encounter CAPTCHA when collecting?
A: It is recommended to turn it on in the ipipgo backendhigh stash model+ Reduce request frequency while working with automated CAPTCHA recognition tools
Q: What if I need to monitor a multilingual website?
A: Use the residential IP of the corresponding language region, for example, when crawling the German website, call the IP of Frankfurt, Germany, so as to obtain the content seen by local users.
Q: How to ensure the stability of data collection?
A: ipipgo'sIntelligent Routing SystemUnavailable IPs are automatically eliminated, and spare nodes are immediately assigned when an area IP is abnormal
Why do you recommend ipipgo?
Unlike the common server room IPs on the market, ipipgo'sReal Residential IP NetworkIt perfectly matches the market intelligence gathering needs. Its originalTraffic obfuscation techniquesMake data requests exactly the same as ordinary user browsing behavior, especially suitable for scenarios that require long-term stable collection.
In recent technical tests, using the same collection script, the average survival time of a regular proxy IP was only 27 minutes, while ipipgo's residential IPs lasted for 6-8 hours. For organizations that need to monitor price fluctuations 24/7, this means a more than 3x improvement in data integrity.

