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Automate Jobs Processing with JD Parser 3.0

Written by Navjot Kaur | July 24, 2020

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.

  • Improve Search Results: With RChilli JD Parser recruiters can enhance their search results without doing major changes in the system. 
  • 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.

Would you like to discuss about JD parser 3.0? Schedule a call with us or sign up for a free trial.