
Why do rival sites always recognize your crawlers?
Many people in the collection of competitive data will encounter such a plague: obviously changed the User-Agent, control the frequency of requests, but the target site can still accurately identify the crawler behavior. This is often because yourReal IP address exposes access characteristics. The web server can easily determine whether a machine is behaving by analyzing data such as access intervals and operation trajectories of the same IP.
Residential agency IP breakthroughs
To solve this problem, the coreMake each access request carry a different real user profile. That's where ipipgo Residential Proxy comes in - simulating the geographic locations and network environments of real users with 9 million+ home broadband IPs distributed in over 240 countries around the world. For example:
- When collecting local life websites in Shanghai, rotate the residential IPs of Pudong, Xuhui and other areas in Shanghai.
- Enable the local resident IP of the corresponding country when accessing domestic websites
this kind ofPrecise geographic matching + dynamic rotation mechanismThe IP-based anti-crawling strategy can be effectively circumvented.
Three Steps to an Efficient Acquisition Program
Step 1: Intelligent IP Dispatch System
It is recommended to use ipipgo's API interface to realize automatic switching and set the trigger conditions for example:
| switching condition | recommended value |
|---|---|
| Number of requests per IP | ≤50 times |
| Exception response code appears | ≥3 times |
| fixed interval | 5-10 minutes |
Step 2: Request parameter masquerading
Use real browser fingerprints in conjunction with proxy IPs, including but not limited to:
- Accept-Language field in HTTP header
- Time zone parameter auto-matching IP region
- Randomize mouse trajectory parameters
Step 3: Abnormal Traffic Cleaning
Anomalous data should be filtered in real time during the acquisition process:
- Identify validation pages by status code (e.g. 403/503)
- Verify the integrity of key page elements
- Compare the difference values of data obtained from multiple IPs
Four key points in data cleansing
Post-collection data often contain interfering items and it is recommended that this process be followed:
| Type of problem | treatment program |
|---|---|
| duplicate data | Dual de-duplication against timestamp + IP attribution |
| missing field | Flag and blacklist anomalous source IPs |
| Dynamically rendered content | Get the full DOM using the Websocket protocol supported by ipipgo. |
| Verification Interference Code | Multiple IPs get the same page for cross validation |
Frequently Asked Questions
Q: Why are proxy IPs still blocked?
A: It may be caused by improper IP switching policy, it is recommended to open in ipipgo consoleIntelligent Fuse ModeIf an IP is detected to be continuously triggering authentication, it will automatically stop using it and replace it with a new IP.
Q: How to choose between dynamic IP and static IP?
A: Dynamic residential IP for high-frequency collection (changing IP with each request) and static residential IP for long-term monitoring (keeping the same identity). ipipgo supports seamless switching between the two modes.
Q:跨国采集太高怎么办?
A: Turn it on in the ipipgo backendArea preference function,系统会自动分配低于200ms的优质节点,实测跨国请求响应速度可提升40%以上。
By reasonably utilizing ipipgo's global pool of residential IP resources, along with the combination of strategies described in the article, you can effectively break through the anti-climbing restrictions and also ensure the accuracy and completeness of data collection. It is recommended that you first test the IP configuration scheme for different scenarios in the free trial environment to find the most suitable combination of parameters for your business.

