In 2025, an e-commerce platform's AI customer service training encountered a bottleneck - the model always recognized Mexican users' inquiries for "taco seasoning" as "Japanese sushi ingredients". Engineers tracked down and found that the food pictures used in training 90% came from Asian websites. This is like asking someone who has only eaten Szechuan food to guess a Spanish recipe, the result is bound to be the opposite.
This is the typical dilemma of AI large model training:Data diversity determines the upper limit of model IQ. And to realize global data capture, relying on a few IP addresses alone is like drinking water from the Pacific Ocean through a straw. Last year, a head AI company permanently blocked access to 38%'s key data sources because it frequently crawled data with a fixed IP.
How proxy IPs can become data catchers
Imagine you're a food detective trying to sample restaurants in every country. If you always go in the same outfit, sooner or later the boss will blackball you. courtesy of ipipgo90 million+ real residential IPsIt's like dressing up every day to visit a store:
Acquisition Scene | traditional approach | Proxy IP Program |
---|---|---|
Social Media Images | Single IP daily limit of 200 sheets | Dynamic rotation to achieve 5,000+ acquisitions per day |
Multilingual texts | Translation tool distortion rate 28% | Native IP capture of local corpus |
video clip | 15% content missing due to regional restrictions | Territorialized IP Unlocks Complete Resources |
In practice, we configure a certain speech model with ipipgo'sStatic Residential IPCapture dialect audio: lock Chengdu IP to get Sichuan dialect material, switch to Guangzhou IP to collect Cantonese resources. The accuracy of the model for dialect recognition is improved from 67% to 92%.
Data Crawl Anti-Blocking Guide
Ever seen a programmer staring at the crawler logs at 3:00 a.m. and freaking out?The 90% crashes all stem from these three errors:
- Death Cycle:Repeated retries with invalidated IPs trigger platform alerts
- Time and space are misaligned:Accessed from US IP in the morning, same IP showed up in Vietnam in the afternoon.
- Feature Exposure:Browser fingerprints do not match IP affiliation
via ipipgo'sIntelligent Routing SystemThese problems can be circumvented:
- Set up IP survival detection to automatically reject failed nodes
- Enable geo-consistency checksums to ensure IP matches device time zone
- Binding localized browser fingerprint profiles
Practical Configuration Manual
Take cross-border e-commerce review analysis as an example, three steps to build a collection system:
Step 1: Geographic matrix deployment
In the ipipgo console, create three IP pools, "Eastern United States", "Central Europe" and "Southeast Asia", and assign 200 residential IPs to each pool.
Step 2: Traffic allocation rules
Set the maximum number of requests to be initiated per IP per hour to 50, and switch automatically beyond that. When encountering CAPTCHA, call the platform'sSmart CAPTCHA Hacking ModuleThe
Step 3: Data Cleaning Strategy
Automatic tagging of data sources using IP belonging metadata to filter out content collected during abnormal IP fluctuations (e.g., an IP is in Brazil in the morning and appears in Japan in the afternoon).
Technical QA Essentials
Q: What should I do if my IP is blocked halfway through the collection?
A: Immediately enable ipipgo'semergency shelter modelThe system switches to an alternate IP pool within 0.5 seconds and automatically clears cookies and other tracking information.
Q: How to choose between dynamic IP and static IP?
A: Text collection with dynamic IP to improve efficiency, video download static IP to ensure stability. ipipgo supporthybrid model, you can set the video class request to automatically assign a static IP.
Q: How to verify the authenticity of proxy IP? A:Enable in ipipgo backgroundReal-time track monitoringThe IP address of each IP can be seen in the geographic location, carrier and other details. An AI company used this feature to discover that the "US IPs" of other service providers' 20% actually came from data centers.
Last year, we assisted an autonomous driving company to use this solution to collect landmark data covering 56 countries in 3 months, and the model's accuracy in recognizing exotic traffic signs was improved by 79%. Now click on ipipgo's official website for theFree Trialportal to receive an experience trial package.