Multi-threaded Crawler IP Optimization | Concurrent Crawling IP Resource Allocation Strategy

Why do multithreaded crawlers need proxy IPs?

The most common problem you encounter when crawling with a multi-threaded crawler to grab data in bulk is theIP blocked.. Ordinary crawlers use a single IP for high-frequency access, and the server quickly recognizes abnormal traffic. The multi-threaded crawler itself is to improve efficiency through concurrent requests, and if it also uses a single IP, the speed of triggering the anti-climbing mechanism will be several times faster than that of single-threaded.

This is where you need to use proxy IPs to decentralize the request sources. Assuming your crawler has 20 threads open at the same time, if each thread uses a separate IP, the server receives requests that show up as coming from different endpoints, which is like having 20 people take turns knocking on a door, which is safer than having the same person knock on the door over and over again.

Hands-on tips for dynamic IP rotation

Choosing ipipgo's residential dynamic IP service is key, their IP resources come from real home network environments, and the validity period of each IP can be freely set. Here are two recommended configuration methods:

This can be achieved in Python by customizing the middleware to use the API interface provided by ipipgo to automatically obtain a new IP when a switching condition is triggered. suggested settingsIP Survival Detection MechanismTo ensure that failed IPs can be replaced in a timely manner.

The golden ratio of concurrent threads to IP resources

A common mistake made by newbies is that the more threads are opened, the better, in fact, to consider the carrying capacity of the IP pool. We have come up with such a proportional relationship through real measurements:

15 available IPs per 10 threadsIt is the optimal state. This way, even if 20% of IPs fail, there are still enough spare resources left. ipipgo's API supports extracting the number of IPs on demand, so it is recommended to get 30% more IPs than the actual demand each time.

Particular attention should be paid to the differences in anti-climbing strength of different websites, for tightly protected websites, it is recommended to use the1:2 thread/IP ratio, i.e. 1 thread is equipped with 2 rotating IPs.

Intelligent Dispatch System Building Methods

A three-tier architecture is recommended for managing IP resources:

1. Available IP pool: valid IPs in real-time detection
2. Pending validation pool: newly acquired undetected IPs
3. Failed IP pool: IPs that have been blocked

The API response speed of ipipgo is controlled within 200ms, and with the multi-threaded asynchronous request mechanism, seamless switching can be realized. Recommended Settingsdual-queue mode: The primary queue performs the crawling task and the backup queue loads the next batch of IPs in advance, so that there is almost no waiting time when switching.

Frequently Asked Questions

Q: How can I tell if my IP is restricted?
A: If there are 3 consecutive request timeouts or 403 status codes returned, immediately move the IP into the quarantine zone and request a replacement IP through ipipgo's API.

Q: Do I need to adjust my strategy for night crawling?
A: It is recommended to reduce the frequency of IP switching by 30%, while using ipipgo's static residential IP service, which has a higher survival rate during inactive hours.

Q: What do I do when I encounter a CAPTCHA?
A: Immediately suspend the current thread and replace the IP to reduce the frequency of crawling the site. ipipgo's exclusive IP pool can effectively reduce the probability of CAPTCHA triggering.

By reasonably utilizing the global residential IP resources provided by ipipgo, combined with dynamic scheduling strategy, the stability of multi-threaded crawlers can be improved by more than 3 times. Their IP pool supports HTTP/HTTPS/SOCKS5 full protocols, which are perfectly adapted for both data collection and business testing. Remember the key points:The number of threads should be dynamically balanced with IP resources, in order to achieve efficient and safe concurrent crawling.