{"title":"基于Python爬虫技术的就业数据分析","authors":"Li Li","doi":"10.54691/bcpssh.v14i.187","DOIUrl":null,"url":null,"abstract":"With the explosive growth of network information and the advent of the era of big data, it is of great significance to analyze and process employment data by using web crawler technology. This article takes Lagou.com as an example, uses crawler technology to collect data on the basis of Python and MySQL, and analyzes the collected employment data in various aspects, and uses these data analysis results to help college students in their employment and career planning. Provide reference basis, provide objective reference.","PeriodicalId":317790,"journal":{"name":"BCP Social Sciences & Humanities","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Employment Data Analysis based on Python Crawler Technology\",\"authors\":\"Li Li\",\"doi\":\"10.54691/bcpssh.v14i.187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the explosive growth of network information and the advent of the era of big data, it is of great significance to analyze and process employment data by using web crawler technology. This article takes Lagou.com as an example, uses crawler technology to collect data on the basis of Python and MySQL, and analyzes the collected employment data in various aspects, and uses these data analysis results to help college students in their employment and career planning. Provide reference basis, provide objective reference.\",\"PeriodicalId\":317790,\"journal\":{\"name\":\"BCP Social Sciences & Humanities\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BCP Social Sciences & Humanities\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54691/bcpssh.v14i.187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BCP Social Sciences & Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54691/bcpssh.v14i.187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Employment Data Analysis based on Python Crawler Technology
With the explosive growth of network information and the advent of the era of big data, it is of great significance to analyze and process employment data by using web crawler technology. This article takes Lagou.com as an example, uses crawler technology to collect data on the basis of Python and MySQL, and analyzes the collected employment data in various aspects, and uses these data analysis results to help college students in their employment and career planning. Provide reference basis, provide objective reference.