Long-lasting Crawling Agent Pool: A Solution for Batch Downloading of Patent Data and Continuous Monitoring of Academic Resources

What's the biggest fear of data collection, IP blocking will make you cold.

Friends who do patent data crawling know that the anti-crawler mechanism of the target website is just like a security guard who can read minds and block the IP of high-frequency visits. Last week, a scientific research team complained that they had just finished 500 patent documents, the whole IP segment was blacked out, and half a month's work was all for nothing.

Here's a misconception to correct:Don't think you can just change your IP and everything will be fine.. Now the anti-climbing system are upgraded to AI forensic level, which can identify the crawlers by accessing behavioral characteristics. Last year, the monitoring system of a university library caught a team using a common proxy and blocked 78 IP addresses in a row.

Long-lasting proxy pools are not esoteric, they have to be taught the right way

A truly reliable program has to meet three conditions:
1. The pool of IP resources is large and fresh enough (starting at 90 million)
2. Can simulate the trajectory of a real person
3. Automatic fusing of anomaly requests

Take ipipgo's Dynamic Residential Proxy for example, theirIntelligent Routing AlgorithmA little something. The system will automatically match the real home network where the target site is located, for example, to grab the Japan Patent Office data, it will assign the resident broadband IP of Osaka or Fukuoka.The real test data shows that this solution can make the collection success rate stable at more than 92%.

Follow this template to build an agent pool, steady!

The first step is to take care of the identity disguise first:
- Getting dynamic residential IPs with ipipgo's APIs
- Individual Cookies and UserAgent bound per request
- Setting random request intervals from 0.8 to 3 seconds

Here's the kicker.Traffic Scheduling Policy: Don't put your eggs in one basket. It is recommended to enable 5-8 geographical nodes at the same time, and rotate their use through the weight allocation algorithm. For example, use more Tokyo IPs on Monday afternoon and change Osaka ones on Tuesday, so that the access pattern is closer to real users.

Don't step on these potholes.

Case 1:A technology company used a free agent in order to save money. As a result, the key data in the patent document was tampered with by an intermediary, which directly led to the wrong direction of research and development.
Case 2:The research organization didn't set up a request timeout mechanism, and a certain IP got stuck and retried continuously, triggering DDoS protection for the target website.

Here's a detection trick for you: bury a crawler in theHeartbeat Monitoring Module. Automatically accesses ipipgo's connectivity detection interface every 20 requests completed, and immediately melts down if an IP anomaly is detected, more than 8 times faster than manual checking.

Frequently Asked Questions

Q: Why do I still get blocked with a dynamic IP?

A: Check three places: whether the request header has a browser fingerprint, whether the frequency of visits fluctuates too little, and whether JavaScript rendering is handled

Q: What if the Academic Resource Monitor needs to run 24/7?

A: ipipgo's static residential IP supports long session hold with automated reconnection mechanism, automatically switching to a new IP within 0.3 seconds of disconnection.

Q：What should I do if the download of patent documents is interrupted in the middle?

A: Use a downloader that supports intermittent uploading, with IP binding technology, the same task is fixed to use a specific export IP

Let's get down to brass tacks.

A final reminder for newbies:
1. Don't write a dead IP replacement frequency in the crawler script, use an adaptive algorithm.
2. It is recommended that the two-way encrypted channel of ipipgo be opened for important data collection.
3. Regularly clear the local DNS cache to prevent domain name resolution from being polluted

Data collection is like playing a game of strategy.You have to be able to take it head on as well as go around.The last time I saw a team playing with proxy pools, they assigned different countries' IPs according to patent classification numbers, and used Japanese IPs for electronic patents. Last time, I saw a team play out the proxy pool, they assigned IPs of different countries according to the patent classification number, and used German IPs to download chemical patents and Japanese IPs to download electronic patents, which fooled the anti-climbing system.