That was an awesome tip. Thanks! Here is what I built from your snippet.

urlTarget = "http://www.businesstexter.com"
excludedDomains = {"cart", "my-account", "pricing"};
includedDomains = {urlTarget};

Commonest[
 Select[Select[Import[urlTarget, {"HTML", "Hyperlinks"}], 
   StringFreeQ[#, excludedDomains] &], ! 
    StringFreeQ[#, includedDomains] &], 20]

OMG, I feel like such an idiot. The answer is StringMatchQ instead of StringFreeQ. lol

bigList = {"a", "item1", "item2", "item3", "item4", "item6", "item7", 
   "item8", "item9", "i5"};
excludedElements = {"item1", "item2", "item5", "item6", "i"};
Select[bigList, ! StringMatchQ[#, excludedElements] &]

lol Is "markovClassifier.m" just a name you give to be able to retrieve it again later or is it a specific function?

It is a file name that is used to retrieve the data later.

You are awesome! Playing with it now. :)

I didn't see the PUT in this code though. Is there any part of the sequence its best used or should it be PUT separately?

I am still lost. Here is my code:

CloudDeploy[
 APIFunction[{"textSample" -> "String", "urlTarget" -> "URL"}, checkURL, "JSON" &];

 checkURL = {If[urlTarget != "",
    checkSample,
    "Empty URL Parameter"]};

 checkSample = {If[textSample != "",
    func,
    "Empty Text Sample Parameter"]};

 func = {
   excludeList = {"cart", "checkout", "thank-you", "login"} ,
   UrlList = Commonest[
     DeleteCases[
      Import[urlTarget, "HyperLinks"],
      {!= urlTarget, excludeList}], 20],
   texts = Import /@ urlList,
   c = Classify[texts -> urlList],
   c[textSample, "Probabilities"]
   };
 ]

I don't know if this is the right way to accomplish my goal.

I want this to be an API where I can pass info to it via parameter and receive a "JSON" or "TEXT" response that includes probability scores.

I want to exclude links that don't contain the urlTarget. This would exclude outbound links, etc. Also I want a to exclude urls that contain any of a list of exclude words. And, I just want to classify the most common appearing links.

I am a little concerned it will try to run a full classification on it every time we hit the API. Is there a way to save a trained model or cache it or something if the URL parameter is the same each time?

This was amazingly helpful. Thank you very very much!