We have entered the era of big data,where the volume of online data is exploding.To identi-fy and utilize the effective data within this vastness,it is necessary to employ crawling techniques to col-lect relevant data on a large scale,extract the associations and trends among different data sets,and thereby simplify the cost of data analysis.This helps users to perform precise analysis,gain a full under-standing,and apply effectively the required data from the massive data pool.Therefore,this paper will explore data crawling strategies based on Hash Value calculation,starting from the concepts and correla-tions between the two,and analyze schemes to enhance the effectiveness of data crawling through Hash Value calculation,thereby improving the validity of data crawling and promoting the positive development of data crawling technology.