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Why Web Scraping Is Getting More and More Challenging

In today's world, as data volume on the interenet is explosively growing, the bar to collect large volumes of public data is also getting much higher than everbefore. Thanks to our AI based web mining technology, we are able to collect large volumes of public data without triggering any anti-bot detections. 

For non-professionals, they can eaisly run into all kinds of roadblocks such as IP blockings, google captchas, hcaptchas, ...etc. Most of the time, it's quite difficult to deal with these roadblocks. Just take a look at this cloudFlare example:

Cloudflare, Inc. is an American web infrastructure and website security company that provides content delivery network and DDoS mitigation services. Its services occur between a website's visitor and the Cloudflare customer's hosting provider, acting as a reverse proxy for websites. Its headquarters are in San Francisco.

The example below is just a reference for you to get some basic ideas on how cloudFlare works and what mechnism it is using to block robots. Once you get some basic understanding, you will realize how tough it is to deal with the roadblockers.

In this example we are going to use the cloudFlare 5 seconds check for the illustration.  when you browse some site, you might have seen this:


image.png


If you think this is just a smiple browser check, you are probaly wrong. Let's take a deeper look at what is behind this 5 seconeds check, let's use chrome developer tools and intercept the traffic, you will see the websites sending some data to cloudFlare during the check. When it finisheds the 5 seconds check, in chrome dev tools, networking tab, you will see a token is returned by cloudFlare. 

Lets' dig more with that token request. We need to pull all the java scripts from the sites and after doing a lot of debugging and searchng, we come to a piece of obfuscated js code that does the encryption to a bunch of variables, such as your browser's version, your mouse movement, your opertating system version, your browser's cookie parameters, your device's fingerprint etc...

A lot of mass during encryption process, see the screenshot below: 

image.png


Also the js core algorightm is using highly obfuscated variable names,


image.png


If you dig into the js code, you will find a lot of intermediay variables with strange names, for exmaple, 


image.png


Well, we are not going too far here since the purpose is not to show how exactly everything works, but just to illustrate that dealing with cloudFlare's bot detction isn't as easy as it appears from the UI. It could be a big black hole if you want to find out exactly it works.

So here it comes to the qustions, will a reguar bot be able to bypass this? The answer is unfortunately NO. Because a regular bot can be easily blocked by these roadblocks. Especially for those who are not professional bot engineers, the bot they wrote doesn't have any intelligence to bypass the roadblocks. When buliding our AI based web mining system, we have spent significants efforts tweking and testing the system so that it can bypass most of these kind of obstacles during the data gathering process.






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