The invention provides a parallel extraction method and system for point cloud information on the basis of a geographic position, and solves the problem in the prior art that processing efficiency formass point cloud data is not high enough and the like. The method comprises the following steps that: S1: through a data division module based on the geographic position, carrying out data division processing on point cloud data in a Hadoop HDFS (Hadoop Distributed File System) to obtain a subarea data file divided on the basis of the geographic position; S2: transmitting each subarea data file into the computing node of one Hadoop cluster for information extraction; and S3: through a communication module, distributing codes of different programming languages into the computing node of the Hadoop cluster for information extraction. The method has the following advantages that data processing efficiency can be improved, and in addition, access to Hadoop cluster data by various program languages is realized.