We're accessing an API of a web system for obtaining product information. We require some additional information, which is not available through the API. This information is publically available for each product visually - through the source code for each item on its item page. We've written an algorithm which parses this information from the web page for each item, but that will be highly ineffective in the long run, since the algorithm will simply stop working if and when they decide to change the source code ( for example - redesign of the front end ).I feel like there should be a supservised learning approach to this problem, however I'm unaware if there exist such solutions.What are some good aproaches to this kind of problems ?Regards.
web content mining using supervised learning tequniques
machine learning;data mining