This paper describes that in the process of building IDC bad information monitoring system

in order to efficiently process tens of tons of massive data every day

a variety of data extraction technologies are selected for repeated scheme demonstration and experimental comparison. Finally

Hadoop script + FTP mode is selected

which greatly improves the efficiency of data extraction and realizes efficient collection and processing of massive data

to ensure that IDC bad information monitoring system can discover and process the bad information contained in time

help IDC business develop healthily

and avoid negative impact on the country and society.