Implementation of Recruitment Website Data Analysis System Based on Web Crawler

With continuous development of science and technology, China is in the era of big data. In order to extract useful information from massive data, we must use data analysis system. The data analysis system greatly improves the use efficiency of data, and can get the hidden information in the data through the analysis of some complex data. This topic designs a recruitment website data analysis system based on web crawler, uses web crawler to collect the recruitment information in the recruitment website, analyzes the recruitment information, and finally displays the relevant information. The system uses the proceptron algorithm in deep learning to realize the salary prediction function for job seekers. In this system, the crawler function is written in Python language, and multi-threaded, anti-crawler and other technologies are used to crawl the data of the recruitment website. The application of this system can extract, store, analyze and display the complex and diverse recruitment information in the recruitment website, so that job seekers can more comprehensively understand the post information and find the most suitable job.