Job scraping is parsing the internet for company pages, job boards, and recruitment agencies to collect data about vacancies or candidates. Scraping for recruitment works better if you master SEO since resume or vacancy texts often have no common language or structure. Besides, web job listings are often duplicated, unclean, or expired. To analyze such data in a meaningful, reliable manner, a recruiter needs a rational and up-to-date dataset.
Scraping data for recruitment may include
- job titles
- job descriptions
- company descriptions
- office location
- employment types
- job conditions
- posted dates
- min/max salaries
With this information, you will be able to use, filter, and analyze the collected data, identify current industry trends, get insights into salary levels, and find jobs within—and beyond—given parameters.
Tasks that scraping for recruitment can help solve
- Market highs and lows monitoring. With a close eye on specialists’ flow, a recruiter can prepare to use human resources to the advantage of competitive development.
- Tracing the talent pool of competitors.
- Tracking competitors’ salary information.
- Staying up-to-date on the most sought-after specialists.
- Managing information about job seekers.