Classifier design for website screenshots I'm working on a project that requires determining if the page representing a hosted file on a third party platform (such as rapidgator or nitroflare) is still up or not.

For example, here is a file that is still up.

Here is a page representing a file that is no longer up.

I have identified several hundred file hosting services and each of them have their own way of displaying up vs down pages.

Is it possible to design/train a model that would classify screenshots of these hosted file pages as up vs down? If so what approach is recommended? Does using a method other than image classification make more sense here?
Yes, instead of image classification you should look to scrape the websites themselves to get to file links or down messages directly.

You could still use an ML to determine down messages with minimal user input but it will be much faster and easier than image recognition. 

Image recognition will fail you here because to start you have a population of 100 or so which is a small sample and you'd need to hand label at least 50 to train any kind of viable classifier at which point you might ad well just hand label them all.