The online job market has undoubtedly taken over traditional in-person hiring. This shift has been especially prominent since COVID-19, as many cities faced lockdowns and more jobs transitioned to remote work. In this context, scraping job postings data benefits both organizations and individual job seekers.
What is Job Scraping?
In this section, we’ll introduce job scraping, explain how scraped data can be used, and discuss the challenges involved. This will give you a better understanding of job scraping.
About Job Posting
Job scraping involves collecting job posting information online in an automated way. This method helps gather job data efficiently and build a comprehensive job database by integrating various data sources. Job scraping is a specific application of web scraping focused on job data, which includes parsing, analyzing, and managing the extracted information.
Sources for Job Data: Job data can be fetched from company career pages, major job boards like Monster, Glassdoor, or Indeed, personal job aggregator websites, and niche job portals. From these sources, job scraping can gather information such as job titles, descriptions, locations, and compensation.
How is Job Scraping Data Used?
According to a Gallup report, 51% of employees look for new opportunities online, and 58% of job seekers search for jobs online. Social…
