Abstract—This paper designed a method which is based on statistics for extracting text from news web pages. First it translated a web document into a DOM tree by HTML tag. Then it structure leaf node’s feature vector according to features of punctuations statistics. Last calculate the similarity between two leaf nodes and weights by feature vector. And it extracted text from those leaf nodes whose weights greater than the threshold value. The results show that the method has property accuracy in text extraction and better universal.