Job Scraping: Benefits, Challenges & Case Study with Impact Demonstration

What is Job Scraping?

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. Job scraping from the web is the process of gathering job posts from job boards or companies’ websites, and, subsequently, analyzing and managing it.

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!

Interested in LinkedIn scraping? Read our article —> LinkedIn Scraping Solutions: Robust Advantage for Business

Who Benefits from Job Data Scraping?

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.

Read our arguments why scraping services in the Job & HR industry is a solution you were looking for —> Job Scraping Services

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 Otherwise, your data gets outdated very quickly.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.

Scraping for recruitment is a distinct branch of job data scraping. Learn more here —> Web Data Scraping for Recruitment

Challenges of Scraping Job Listings

As mentioned above, there are two main sources for extracting job data – job aggregators and companies’ official sites. The first category contains an enormous amount of data (Indeed, LinkedIn), but they are harder to scrape due to anti-scraping techniques used for their protection, such as IP blockers, CAPTCHA solving, honeypot traps, and many others.

Follow our guideline to test your strength on scraping Indeed —> Indeed Job Scraping Using Selenium: Guideline & Use Cases

Another huge opportunity is monitoring companies’ websites. Many companies have a career section on their website. Depending on your goals, you can extract data from these sites, and analyze and monitor jobs from one company’s webpage, or from hundreds.

Companies’ sites are easier to scrape, but different web sources use different interfaces, which is why different crawlers are required for the same purpose. In addition, the tools often require modifications after changes on the sites. All this complicates the task of job data scraping, making it rather time-consuming.

However, web data scraping solutions and services may be quite useful and cost-efficient for the purpose.

Discovered.ai Case Study: 900K+ Candidates in the System, 8+ Years of Partnership

DataOx serves a lot of clients related to job post scraping. One good example is Discovered — the recruitment automation company needed to develop and scale AI-powered tools for small and mid-sized businesses.

The core product — a customizable interview guide generator — required continuous development, enhancement, and strategic technical implementation to stay competitive in the rapidly evolving HR tech market.

• We monitor Indeed, LinkedIn, ZipRecruiter, and other 9 job platforms.
• Then we collect, parse, structure job posts & document files, and send them or integrate in our client’s preferred way.

Learn more about scraping CVs, portfolios, and other file documents here —> Document Processing Services

If you are interested in job post scraping and parsing services, schedule a free consultation with our expert to talk about your project and get a quote!