Development of a job information automated collection and visualization system based on Scrapy and Flask
With the rapid development of network information technology,recruitment websites have become an important plat-form for job seekers and employers to obtain and post job information.However,due to the massive amount of information that is un-evenly distributed,users often need to spend a considerable amount of time filtering and analyzing this data.To address this issue,a system based on Scrapy and Flask technologies was proposed,aimed at automating the collection of recruitment information and providing data visualization capabilities.The system uses the Scrapy framework to efficiently crawl real-time job information from multiple recruitment websites,and provides functions for data storage,management,and querying through backend services built with the Flask framework.At the same time,frontend data visualization techniques are used to present the collected data in an intui-tive manner to users,helping them quickly understand market dynamics and job trends.
ScrapyFlaskdata collectiondata visualizationjob information
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