Job board websites need large number of job listings to make their websites marketable to both job seekers and employers. Other companies in the recruitment industry like HR consultancies and labour analytics firms also make use of job listings to carry out their growth strategy and run analyses. Without adequate job listings, the site could seem less resourceful and will be left back to bite the dust, thereby leaving the market to the competitors. Job data being the most resourceful asset in this regard, is sought after by businesses in the recruitment space.
To gather this data efficiently without draining the resources, companies need a robust data solution that can provide them with job listings data as continuous feeds, in a clean and structured format. Although there are ways to extract job listings in-house, companies have realized the downsides of this approach such as hiring and training a team of dedicated engineers and setting up the Big Data infrastructure. Hence, they are looking to outsource the job listings extraction to dedicated service providers so as to not lose their focus on the core offering.
Cleaning and structuring the data is one of the challenges that most companies aren’t prepared to face. Since having ready access to job listings to go about their data application is crucial, it’s better to rely on a fully managed solution that can take end-to-end ownership of the process. This way, companies can get the data they need without having to struggle with the complexities involved in extracting job listings.
How we extract job listings
After establishing the feasibility of crawling the client’s source websites, we set up a crawler that could extract job listings including title, requirements, job description, company name etc. from the target sites in an automated fashion. The presence of additional data fields would depend on the particular use case and client requirements. Everything from the frequency of crawls to the data delivery method is customizable – we support CSV, JSON and XML formats and can deliver the data via Amazon S3, Dropbox, FTP, REST API and more. Once the system is set up and running, there is no need for any sort of manual intervention as the whole data pipeline is fully automated.
Common data points
- Job title
- Job description
- Company name
- Years of experience
- We set up monitoring to find and fix any changes within the source sites
- Changes can be made to the schema as per the request from client
- We can add new geographies according the client’s changing requirements
- The client could significantly improve their productivity and work on more projects since data would no longer be a bottleneck
- Our low turnaround time helps clients market their services with more confidence
- ROI from the project is much higher in comparison to an in-house setup
- The data they received needs no post processing as it is already in good shape
If you’re looking to crawl and extract job listings from job boards or company pages, reach out to us to quickly get started and realize these benefits.