What is Category and Subcategory and How we fetch the value?

Understanding Category and Subcategory in RChilli

RChilli’s Resume Parser extracts over 200+ fields from resumes, one of which includes Category and SubCategory. These fields help in classifying a candidate's job role or industry sector into standard occupational categories. This classification is enabled through RChilli's Taxonomy 3.0, a structured library of 3 million+ skills and 2.4 million+ job profiles.

What Are Category and Subcategory?

• Category: Represents the broader industry or occupational classification a candidate belongs to.

  Example: "Information Technology", "Healthcare", "Education"

• SubCategory: Refers to a more specific role or job family within that category.

  Example: If the Category is "Information Technology", the SubCategory might be "Software Developer", "Database Administrator", or "IT Support Specialist".

These classifications are derived using the Job Profiles taxonomy that maps a candidate’s work history and job titles to global standard categories.

How to Fetch Category and Subcategory?

1. Using Resume Parser API with Dynamic Settings

   To ensure the parser includes Category and SubCategory, use the reqcategory setting in the apisetting node of your API request.

   Sample Request:

   {
     "filedata": "{{base64data}}",
     "filename": "sample_resume.pdf",
     "userkey": "{{your_userkey}}",
     "version": "8.0.0",
     "subuserid": "{{your_subuserid}}",
     "apisetting": {
       "reqcategory": true
     }
   }
   

   Sample Output:

   {
     "Category": "Management of Companies and Enterprises",
     "SubCategory": "Transportation, Storage, and Distribution Managers"
   }
   

   Setting reqcategory: true ensures these fields are returned.

   If omitted or set to false, these values will be blank.

Additional Notes

• This feature is available only in parser version 8.0.0 or later.

• The taxonomy powering these values is maintained and refreshed monthly to ensure industry relevance.

These fields are particularly useful for:

• Automated candidate classification

• Search and Match operations

• Job recommendations

• Resume redaction by job zone in RChilli’s Resume Templater API

For more details, refer to the Resume Parser API Documentation.

Need Help?

For personalized guidance or technical help, contact:
support@rchilli.com