The web is the largest available corpus, which could be enormously valuable to many natural language processing applications. However it is becoming very difficult to identify relevant information from the web. We present a system for querying dependency tree collocations from the web. We show its usefulness in identifying relevant information by evaluating its accuracy in the task of extracting classes of named entities. The task achieved a general accuracy of 70%.