Data Cleaning Process Automation Design Guide

Data cleansing meets proxy IP, how cool can this be?

Done data cleaning understand, the most afraid is just climbed to half of the IP was blocked. It is like eating hot pot is high suddenly power outage, that kind of stifling energy not to mention how difficult. At this time, if there is a reliable proxy IP pool on hand, it is like having a mobile rechargeable battery, which can be changed at any time.

Automated cleaning three big pits, see how many you have planted

The first pit: IPs die too quickly like fireworksThe website firewall will immediately pull the blackout. Single IP continuous request more than 5 times, the site fire immediately pull the black. Last time, a buddy with their own company fixed IP crawl data, the results of the entire department network are blocked for 24 hours.

Pit 2: Data source recognition. Some websites specifically discriminate against overseas IPs, such as those doing cross-border e-commerce, if you use a US IP to climb the Japanese Rakuten market, the data returned may be pitifully small.

The third pit: CAPTCHA bombing. When it comes to harsh anti-crawling mechanisms, which have to be verified on average once every 20 requests, manual processing can drive a person crazy.

Four steps to a smart cleaning system

1. Flow scheduler(Core of the Core)
It is recommended to go directly to ipipgo's intelligent routing API, which can automatically match the optimal IP. a chestnut: to climb an e-commerce site, the system will automatically select the IP of the same city room IP, the response speed is more than 3 times faster than the cross-province IP.

2. Failure early warning mechanisms
Set up double insurance:
- Automatic IP switching after 3 request timeouts
- Response code anomaly immediately blackout the IP
The actual test with ipipgo's survival detection interface, can be 15 minutes in advance to prejudge the IP failure, this black technology must be.

QA time (a must for newbies)

Q: How many IPs are needed to clean 100,000 level data?
A: Look at the target site defense level. Ordinary sites with ipipgo's shared pool, 500 IP is enough for turnover; anti-climbing strong suggestion on the exclusive IP, 200 will be able to play around.

Q: What is the difference between free proxies and paid ones?
A: say a real thing: a company with free IP crawl data, the results crawl back to 30% garbage data. Later change ipipgo commercial agent, not only the success rate to 98%, but also comes with HTTPS encryption, transmission security directly pull full.

Q: How can I prevent my IP from being tagged?
A: Three tips:
1. Randomization of User-Agent per request
2. Control the frequency of visits (don't act like a hungry wolf)
3. Using ipipgo's high stash of IPs is like wearing a cloak of invisibility for requests

Choose the right tool and get three years less out of the way

Used five proxy providers and ended up locking up ipipgo for just three reasons:
1. National coverage of 200+ cities, convenient for localized data collection.
2. Exclusive IP warm-up function, the survival rate of new IP directly doubled!
3. The technical service group returned in seconds, and the last time I reported a problem at 3 a.m., someone was actually on duty.

The last nagging sentence: data cleansing is a fine job, neither brute force nor goat. Using a good proxy IP is like installing an intelligent navigation for the excavator, pointing where to dig where not overturned. Configuration pay more attention to IP switching policy and exception handling, guaranteed that your cleaning efficiency up.