Data collection is purely residential IP|City-level localization on-demand switching

Why do you need 'real life' residential IP for data collection?

The biggest headache of doing data crawling is to be recognized as machine behavior by the target website. Ordinary server room IPs are like tasters in a supermarket, easily targeted by security guards; while real home broadband IPs are like ordinary customers, naturally blending into the environment. Take e-commerce price monitoring as an example, if you use data center IP to frequently query the price of goods, you may trigger the anti-climbing mechanism within half an hour.

at this momentipipgo's Residential IP Resource PoolJust show the value. Their 90 million+ home IPs are distributed on real user devices, and each IP carries home broadband attributes. Especially when it is necessary to collect geographical data (such as weather information in different cities), the real exit IPs of local residents can be directly called, and the success rate of data acquisition can be increased by more than 60%.

Practical tips for city-level location switching

The key to achieving a precise switch in urban positioning is toAccuracy of the IP address base. Many proxy service providers will label country/province information, but city-level positioning often has errors. Taking the data collection of a takeaway platform as an example, it needs to accurately differentiate the information of merchants in Beijing's Chaoyang District and Haidian District, at which point the IP's geographic location accuracy directly affects the value of the data.

ipipgo's solution is through a triple-checking mechanism: firstly based on the physical address registered by the operator, then combined with network topology positioning, and finally through real-time latency measurement. When users need to switch cities, the system will automatically filter out the top 20% residential IPs that are active in that city, ensuring that the positioning error is no more than 3 kilometers.

Intelligent Scheduling Policy for Dynamic IP Pools

Continuous and stable data acquisition needsAutomated IP Rotation Mechanism. We propose to set up switching rules for both dimensions:

1. Switching by task volume: automatic IP change for every 100 requests completed
2. Switching by business scenario: used when collecting sensitive datashort-lived dynamic IPLong-term monitoringStatic Residential IP

The API interface of ipipgo supports setting the combination of "city+operator+online hours" filtering conditions. For example, if you want to get the IPs of Shanghai Telecom users who have been active for the last 1 hour, you can directly retrieve them through the combination of parameters, avoiding the time-consuming problem of manual screening.

Frequently Asked Questions

Q: How do I verify the true residential properties of an IP?
A: It can be verified in three steps: 1) Check if the ASN of the IP belongs to the home broadband operator 2) Use whois to check the registration type 3) Confirm through the attribution verification interface provided by ipipgo

Q: What should I do if I encounter a sudden IP failure?
A: It is recommended to turn on the automatic fusion mechanism, which immediately triggers the IP replacement process when three consecutive requests fail. ipipgo's server will monitor IP availability in real time and automatically reject abnormal nodes.

Q: What if I need to use multiple city IPs at the same time?
A: You can create multiple proxy session channels, each bound to a specific city IP group. ipipgo supports the concurrent creation of 200+ independent IP channels, with no interference in geolocation between channels.

In practice, it is recommended to test the tolerance threshold of the target website with ipipgo's free trial resources first. For example, first test with a frequency of 5 requests per minute, and gradually adjust to the maximum collection rate that is not blocked, so as to maximize the advantages of residential IP cloaking.