遇见数据集

Job Postings Data / Global / Monster, Indeed, Glassdoor + 10 Job Boards / Updated Monthly

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Datarade2024-04-19 收录
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资源简介:

Gathering job details, salaries, locations, and job seeker profiles from Monster, Indeed, Glassdoor + 10 Job Boards and exporting them into structured data formats CSV, Json, excel, XML. Scraping job information Monster, Indeed, Glassdoor + 10 Job Boards provide an extensive database of job listings with valuable information, making it an ideal tool for job seekers to search for specific jobs based on cities, states, or zip codes. This platform also offers valuable insights into job openings, salaries, locations, and job seeker profiles, benefiting various users such as HR managers and recruiters. By scraping job details from Indeed, users can extract a wealth of information about different jobs, locations, actively hiring companies, ratings, and more. Our scrapers eliminate the need for manual navigation or coding, allowing easy access to this information. Why scrape Job postings data? Scraping data offers the advantage of quickly obtaining up-to-date and extensive information. With over 250 million users worldwide, it provides a vast amount of data. Utilizing this data enables insights into job trends, tracking hiring patterns, staying informed about the job market, finding job openings that match specific criteria, and creating more targeted job postings. This benefits HR managers, recruiters, and business owners alike. What information does it scrape? Our datasets can extract data from job postings, including job titles, posting dates, company names, locations, salaries, company ratings, and apply URLs

提供机构:
Webautomation
搜集汇总
数据集介绍
Job Postings Data / Global / Monster, Indeed, Glassdoor + 10 Job Boards / Updated Monthly 数据集图片
背景与挑战
背景概述
该数据集每月从Monster、Indeed、Glassdoor等10个全球知名求职平台抓取职位信息,包含职位名称、薪资、地点、公司评价及求职者资料等字段,并以CSV、JSON、Excel、XML等结构化格式提供。数据可用于分析职位趋势、招聘模式,帮助HR经理、招聘人员及求职者更高效地获取市场洞察。
以上内容由遇见数据集搜集并总结生成
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