For the question how to apply the Web Information Extraction (WIE) technology to health field, a Web information extraction method based on WebHarvest was proposed. Through the structure analysis of different health Web sites and the design of health entity extraction rules, the automatic extraction algorithm of health entity and its attributes based on WebHarvest was realized; then they were stored in a relational database after consistency check; in the end, the values of entity attributes were analyzed to recognize entities by using processing method of natural language Ansj to extract relationship among entities. In the health entity extraction experiments, the average F-measure of the technology reached 99.9%; in the entity contact extraction experiments, the average F-measure reached 80.51%. The experimental results show that the proposed Web information extraction technology has high quality and credibility in the health information extraction.