Data Parsing Definition: Field Cleaning and Conversion

Data parsing is like giving an IP a bath

Brothers who have engaged in data capture understand that the raw data is like freshly dug potatoes, wrapped in mud with bug eyes. Especially when you work with proxy IPs, the data you get often comes withMessy fieldsFor example, if the IP address is mixed with port numbers, the response time is garbled. For example, the IP address is mixed with a port number, the response time with a garbled code, which does not wash the data, the back is simply not usable.

To cite a real case: last week there is an e-commerce price comparison of buddies, with ipipgo's dynamic residential IP to catch the price data, the results found that the

"ip": "192.168.1.1:8899 | response time = 0.3 seconds"

This stitching odd fields. At this point it's time to make two cuts with split, split the IP and port, and bring up the response time separately.

Three axes of field cleaning

first moveviolent divisionBest for rookies:

raw_ip = "118.23.61.202:3000"
clean_ip = raw_ip.split(":")[0] get the clean IP
port = raw_ip.split(":")[1] get port

second moveregular patternSpecializing in disorders, such as dealing with this ghost format:

import re
dirty_data = "Response time: 250ms (exception)"
clean_time = re.findall(r'd+', dirty_data)[0] gouge 250

The third move.Outlier FilteringTo use with proxy IP. For example, 10 consecutive requests timeout, eighty percent of the proxy IP hangs, this time it is time to change ipipgo's new IP, their automatic switching is faster than the old driver shifting gears.

Data Metamorphosis

The cleaned data is obtained astransformOnly then can it be used. Common Operations:

Special note: When using ipipgo's proxy, remember to put theirIP Survival TimeFields are converted to timestamps to make it easier to do expiration warnings.

A practical guide to avoiding the pit

Pit 1:Cleaning rules are too rigid. For example, some sites return a "timeout" instead of a number, and then a hard conversion to a number will result in an error. Suggest adding a try-except body:

try: response_time = int(clean_time)
    response_time = int(clean_time)
except.
    send_alert("IP may be invalid")
     Automatically change ipipgo's new IP

Pit 2:The conversion time zones are not aligned. For example, the log time is UTC, and the proxy IP's geolocation is local time, so mixing them up will make a mess. It is recommended that all time fields be converted to Beijing time.

Old Driver QA

Q:Cleaning data always takes half an hour, is there a cure?
A:With ipipgo.Pinpointing IPsservice, their IP geographic data comes with cleaning, saving 80% work.

Q:What should I do if my proxy IP often fails in the middle of the day?
A:Add a probing mechanism in the conversion process to detect a timeout and automatically trigger ipipgo's IP replacement interface, code example:

if is_ip_dead(proxy_ip).
   new_ip = ipipgo.get_new_ip()
   update_proxy_pool(new_ip)

Finally, to say a big truth, data cleaning this thing is like washing dishes, wash not clean even the best cooking skills are useless. Use ipipgo'sHighly Pure Proxy IPThe IP pool is equivalent to the direct washing-free of ingredients, saving time and effort and not worrying about eating a bad stomach. Their IP pool is updated every day 20% or more IP, more than the leek field stubble is still fresh, engage in data parsing can really try.