More than 50% of American workers are in search of a new job, and more than 55% of job seekers look for jobs on the internet. This proves the fact that the online job market is massive, and those who manage to keep track of fresh job data can expect positive results in their job search, job post aggregators, recruiting agencies or service.
Web crawling, scraping, and parsing data from thousands of online sources simplifies the process of gathering data from the web, analyzing, and managing it.
Job post data scraping from the web is the process of gathering job posts from job boards or companies’ websites. There are a lot of platforms, job portals, and job boards that aggregate a great number of job posts: Indeed, Glassdoor, Craigslist, LinkedIn, SimplyHired, Jobster, Dice, Facebook Careers, and more. And it is possible to scrape each of them, almost in real-time!
A job scraping service is very helpful for recruiting companies, recruiters, or businesses that are engaged in this industry.
Job post data can be helpful in various ways and used for the following purposes.
- Current job and market trends analysis.
- Refreshing job data on job aggregator websites.
- Keeping job databases up-to-date at staffing agencies.
- Monitoring competitor’s open positions and compensation.
- Finding leads by offering your service to hiring companies.
If you want to do research on the job market, you can get a variety of data regarding a particular industry or region. We can set the job data feed and collect data over a period of time of your choosing. After that, data can be visualized so that you can get a clear picture of salary trends, the demand for particular professionals, and a ton of other helpful information.
There is one nuance—jobs should be scraped once they occur at the original source. Otherwise, your data gets outdated very quickly.
Each job post can be categorized (by title, description, salary, skills, working experience, etc.) for convenience. So you have the ability to aggregate, categorize, and select those that match your purpose with the help of data scraping and parsing technologies.