Record Linkage problem
Clustering is the wrong tool for this. And so is cosine similarity, bag of words model etc.

Obviously, standard scaling on house numbers and zip codes is a svery bad idea, don't you think?

There are special techniques developed for this kind of data with a reason. For example, it's unlikely that the customer entered house number 100 but lives in 5. That single difference is a very clear indication that it probably is not the same customer. On the other hand, "Park Rd." And "Parkrd." almost certainly is the same, but in cosine similarity that is three tokens difference, pretty big.

Clustering is an explorative technique, not one to achieve automatic matching. Choose other tools instead.