Data collection and analysis of urban rail transit information based on web crawler technology

Inhalt:
This study uses web crawler technology to obtain massive data of urban rail transit information through Baidu platform API interface. It also carries out data cleaning and visual analysis on the detailed data of the station, and analyzes the distribution of urban stations. Finally, based on this, the rail transit information data acquisition and analysis system software is formed. It can realize the collection of rail transit information data in different cities, which is of great significance in the field of transportation planning and big data analysis.