In this paper, a focused crawler is designed to gather information about conferences and meetings on a specific area. Our crawler starts visiting links from a set of related Web sites that are specified by a human expert then, it classifies pages as relevant and not relevant by using vector space model. During the crawling process, metadata information (e.g., title, date, venue, url, etc.) are extracted and stored in a relational DBMS. Through a Web-based interface, users search the database to find an event that matches their preferences.