Readability assessment is a method to measure the diffi- culty of a piece of text material, and it is widely used in educational field to assist instructors to prepare appropri- ate materials for students. In this paper, we investigate the applications of readability assessment in Web develop- ment, such that users can retrieve information which is ap- propriate to their levels. We propose a bilingual (English and Chinese) assessment scheme for Web page and Web site readability based on textual features, and conduct a series of experiments with real Web data to evaluate our scheme. Ex- perimental results show that, apart from just indicating the readability level, the estimated score acts as a good heuristic to figure out pages with low textual content. Furthermore, we can obtain the overall content distribution in a Web site by studying the variation of its readability.