Why is web crawler always blocked? You may be ignoring IP quality

2026-06-19

introduction

Friends who are engaged in cross-border e-commerce have been asking the same question recently: Why can others run the same crawler script stably, but I am blocked after using it for two days? Behind this is often not a technical problem, but a failure to handle the IP environment.

How to use web crawler and what exactly it solves

According to Hootsuite’s latest report, global e-commerce platforms’ identification accuracy of abnormal traffic increased by 47% in 2023. Our team's tests found that when using ordinary data center IP, the crawler request success rate was less than 30%, but when paired with a residential proxy, it stabilized at more than 92%. The key reason why LIKE.TG's residential proxy is chosen by many technical teams is that its IP pool regularly removes marked nodes - this is a detail that many low-priced proxies cannot do.

The easiest pitfalls to step into

When I helped an independent website customer troubleshoot crawler failures last year, I found that they had made three typical mistakes: first, repeatedly using the same IP segment to trigger risk control, second, the browser fingerprint did not match the IP location, and third, using an abused IP pool for cheap. Simple test method: First use the IP detection tool to check the blacklist record, and then check the ASN ownership through whois. If it is found that a certain IP is used for both TikTok and Amazon, it can basically be determined to be a problem node.

Correct use

Mature crawler projects will do three levels of matching: time zone, language settings, and browser fingerprints. For example, when capturing U.S. e-commerce data, it is recommended to fix the Western U.S. node and set the corresponding time zone. We often use LIKE.TG’s “city-level positioning” function, which not only allows us to select specific cities such as Los Angeles, but also matches local mainstream operators, so that the pricing data collected will be more accurate.

A more stable operating portfolio

Teams currently engaged in matrix operations are using a combination solution of "fingerprint browser + residential agent". A friend who works in Shopify shared his experience: they configured an independent browser environment and IP range for each store, and implemented automatic switching through the LIKE.TG proxy API, and there were no account bans within half a year. This solution is much safer than using crawler scripts alone.

Common breakdown points for our team

I didn’t consider the time difference when I switched IPs in the early morning.
Forgot to clear browser cache
Use Chinese IP to access overseas sites
Log in to multiple platforms at the same time with the same IP
The agent continues to work even if the delay exceeds 200ms.

FAQ

Q: Why is residential proxy more expensive than data center IP?
A: The scarcity and maintenance cost of real user IPs are higher, but large-scale service providers like LIKE.TG can reduce the unit price to $0.2/G

Q: How to determine whether the proxy IP is clean?
A: Use tools such as scamalytics to detect risk scores. It is recommended to eliminate those with a score higher than 80.

Q: How much IP is needed to make a TikTok matrix?
A: It is recommended that each account be equipped with 3 backup IPs. We tested 10 accounts and used 30 IP rotations to ensure the safest security.

Conclusion

Last week, a customer from Shenzhen said that after changing the residential agent, the crawler script suddenly became able to run stably. In fact, many technical problems can be solved by replacing them with reliable infrastructure.