Are candidates visiting your job description but leaving without applying for the job?
What does this challenge cost to you?
The first step of recruitment starts with a job description. Let me bring into your notice that the candidates will apply for the job only if the job description is clear and compelling.
Imagine if you can show a clear job description to the candidates and close jobs quickly.
Isn’t it exciting?
Let’s do this magic with our JD parser 3.0.
Our JD parser will extract parameters from a job description and save them with the required attributes that are already defined. In other words, it will convert the unstructured data of the job description into a structured format.
Once you get the output, you can use it against candidate profiles to find better matches.
Let me show this magic with the help of the following screenshots:
This is the sample of a job description:
Once you parse it using our JD parser, you will see the following result:
Isn’t it amazing?
How Can You Use Our JD Parser?
Job Upload- Upload a job description and get the output in JSON format.
Bulk Import- You can parse multiple job descriptions in one go and get the structured data.
Email Inbox Integration- This amazing feature can help you extract data from various email inboxes at once. Parse job descriptions from a single or multiple email inboxes.
Job Feed Sync- Our JD parser can also extract all the job information from the job feeds.
Skills and Ontologies- Get taxonomy data for job profile and skills like alias formatted name and related skill, etc.
How Does a JD Parser Help You?
RChilli JD Parser processes job descriptions or vacancies in real-time through an agile API interface.
Ensure Minimal Exit Rate of Candidates from Your Website: Candidates leave a website if a job description is not clear or difficult to understand. A well-defined job description will attract more traffic to your website.
Close Jobs Quickly: More traffic to your website will result in better options, making it easy for the recruiters to close jobs.
Save Time: Using a JD parser will simplify the recruitment process, which saves both time and effort of the recruiters.
Enhance Your Search & Match Capabilities: A structured data set gives a boost to the resume/job searching capability of the users through skills/jobs alias.