When Crawler Data is a Muddy Puddle? Try This Cleaning Combo
Do data crawl guys should understand, the text picked off the Internet is like a vegetable market to pick up rotten leaves - useful information are wrapped in dirty things. At this time we have to set up our cleaning pipeline, the IP address, geographic location, protocol type from the messy logs out. There is a key player here that you may not have noticed:The proxy IP is the quality inspector on the assembly line.I can't do this job without it.
Five Steps to Text Cleaning
The whole cleansing process is like a spa for data, you have to follow the steps:
- text fishing: distributed crawler spread net, here recommended ipipgo's dynamic residential agent, more than 200 countries IP pool, catch the data is like picking fruit in their own backyard!
- pretreatment rubbing: Encountering CAPTCHA pop-ups? ipipgo's auto-rotation can keep the trigger frequency down to an industry-low 0.31 TP3T
- Structured plastic surgery: use regular expressions as scalpels to take out the parts of IP segments, port numbers, protocol types (there's a pitfall here, more on that later)
- postmortem examination of quality
- store and refrigerate
| dirty data type | Cleaning Tips | Recommended Tools |
|---|---|---|
| Crippled IP address | three-stage calibration method | ipipgo Real-Time Authentication API |
| Hybrid Protocol Log | Protocol Feature Matching | Customizing Regular Templates |
Avoid these three sinkholes
The most common place for newbies to fall head over heels:
- IP Authentication TrapDon't think that catching the IP can be used, last year we have a customer, 30% proxy IP are invalidated, and then on the ipipipgoSurvival Detection Interfacejust now
- protocol obfuscationHTTP and SOCKS5 proxies look too much like each other, you have to look at the port characteristics, for example, port 9050 is probably a Tor node.
- geographic driftSome proxy IP hangs sheep's head and sells dog meat, obviously said to be the United States IP, the actual bouncing in Brazil, this time you have to rely on ipipgo's ASN database to fight the fake!
Practical case: e-commerce price monitoring
As a chestnut, a cross-border e-commerce company wants to monitor the pricing of 20 platforms, and we get it this way:
1. use ipipgo's rotating residential agent to crawl the page 2. Clean up product ID, price, stock status 3. Hourly comparison of price fluctuations 4. abnormal data automatically triggers email alerts
As a result, people saved 1.7 million dollars in three months of malicious price adjustment losses, this wave of operation is worth the price of admission.
I'm sure you want to ask these.
Q: Why do I need a real-time interface for verifying IP?
A: Proxy IP survival time is shorter than the net red shelf life, last year's test static IP average survival only 11 minutes, ipipgo API response speed <200ms, more than three times faster than the traditional program!
Q: What is the most cost-effective way to store the cleaned data?
A: Recommended time series database + object storage double backup, hot data with InfluxDB, cold data thrown MinIO, monthly storage costs can cut 40%
Q: What makes ipipgo better than others?
A: Three hardcore advantages: 1) Exclusive IP activity prediction algorithm 2) The world's only support for IPv4/IPv6 dual-stack authentication 3) API error rate <0.05%, blowing up the industry average
In the end, data cleaning is a fine job, you have to use the right tools to feel the doorway. The next time you encounter text data mess into a ball of wool, remember to give ipipgo's technical small brother to make a phone call, guaranteed to make you go two miles less wrong way.
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