Leveraging job data feeds to predict job market demands

Leveraging job data feeds to predict job market demands

In a lot of ways, the job market is like the stock market. It is as dynamic as the stock market with varying trends witnessed over the years. It has often happened that all of a sudden, the demand for certain jobs increases, whereas certain core sectors, which are seen as ‘dependable’ crumble due to factors such as economic slowdown. On the other hand, we have a generation shift, with each having a different outlook towards their professional lives. The current generation, or the gen Y, has its separate outlook towards jobs, which is very different from previous generations. They have given rise to the gig economy and the demand for non-conventional jobs. If job boards want to stay relevant, they need to change and adapt to changing times. And there’s one thing they can rely on for that — Job data. With efficient job data utilization and management tools, job boards can match their operations with the changing needs of employers and candidates.

How job data feeds can help job boards

Job boards can leverage job data to attract candidates by providing consistent, complete, and structured job postings. They not only can offer job listings, but they can also provide additional useful information to candidates. Thus, their role will not be limited to being just another job board. They can instead become a complete recruitment solution. With job data, job boards can show salary comparisons in multiple companies, job positions that have high demand, and the skills preferred by employers. Thus, candidates can make better recruitment decisions based on this information.

Similarly, employers can benefit from candidates’ data. They can get insights about the type of jobs searched, the work timings preferred, and the salary expectations of candidates. Thus, job boards can become a trusted medium for employers as well as candidates to understand each other. But for that, job boards need to employ effective job data analysis and management tools.

How job boards can improve job data management

Job boards need to invest in job data tools such as job scraper. A scraper can periodically collect job postings along with the metadata from employers’ websites. It can then tag and categorize jobs based on job data and post it in a structured manner on the job board. An advanced job scraper can even complete missing job data. Thus, candidates can find jobs easily and with complete information on the job board. This can help employers, too, as candidates prefer to apply on job listings where they find all the necessary information.

Similarly, with the help of data analytics tools such as applicant tracking systems (ATS), recruiters can easily find data such as educational qualifications, work experience, and skill set of candidates. Thus, they can easily find the right talent suited for their enterprise.

Predicting the job market is undoubtedly tricky but not impossible. Job data management tools such as job scrapers can help ease the job for job boards. Job board owners should, thus, implement premium job scrapers that can help in efficient job data management and simplify the recruitment process for recruiters and candidates alike.