The candidate Object

Candidate Object Schema

The candidate object contains the metadata about a candidate

Field	Field Type	Description
id	Integer	Unique ID of the candidate
first_name	String	First name of the candidate
last_name	String	Last name of the candidate
email	String	Email ID of the candidate
phone	String	Phone number of the candidate
description	String	A brief description about the candidate.
resume.file_name	String	File name of the resume.
resume.content	String	Contents of the file in a Base64 encoded format. This field is available only for creating and editing resumes on a candidate.
resume.file_url	Url (readonly)	A hyperlink which links to location where the resume can be downloaded. For example: `Response Headers: Content-Disposition: attachment`
created_date	Timestamp (read only)	Timestamp of when the candidate was added to Trakstar Hire
updated_date	Timestamp (read only)	Timestamp of when the candidate details were last updated.
profile_data	Array of objects	In addition to the details above, Trakstar Hire allows you to add custom metadata to candidates. For example, you want to specify a candidate's github profile, or his salary expectation, then the the profile data will look like `[{ "name" : "github profile", "value": "https://github.com/johndoe" }]` Please note that editing the profile data via `PATCH` request will result in an automatic change of the field type to `large_text`.
source	String	This represents the source to which a candidate is attributed to in Trakstar Hire. For example, if the candidate came from a job board called Acme Inc. then the source will be `Acme Inc.`
source_type	String (read only)	Represents the source type. In cases when a candidate is created using the api, it will be API
created_by	Object (read only)	An object representing the user who created the candidate which is the form `{ "id": 1, "email": "[email protected]", "name": "John Doe" }`
assigned_to	Object (read only)	An object representing the user who is assigned to the candidate
opening_id	Integer	Unique Id of the Opening to which the candidate belongs
stage_id	Integer	Unique Id of the Stage to which the candidate belongs
stage_name	String (read only)	Name of the Stage to which the candidate belongs
state	String (read only)	Describes the state in which the candidate is. Can be one of `['in_process' 'hired' 'rejected' 'declined_offer' 'onhold' 'withdrawn' 'spam' 'archived' 'onhold_prospecting' 'did_not_convert']`
state_metadata	Object (read only)	Additional information pertaining to a state. Like, `HIRED` or `REJECTED` are end states for a candidate. So, once you mark a candidate as one of the two states, you normally would have a reason. All the more important when you reject the said candidate. The state_metadata holds that extra reason and explanation information. `"state_metadata": { "reason": "Not a fit", "explanation": "Underqualified" },`

Example Candidate Object

{
  "updated_date": 1473159406,
  "first_name": "richard",
  "last_name": "hendricks",
  "description": "Test from API",
  "resume": {
    "content": "SGVsbG8gbXkgbmFtZSBpcyBhc2h3aW4uIGdpdmUgbWUgYSBqb2Iu",
    "file_name": "hendricks resume.txt"
  },
  "email": "[email protected]",
  "opening_id": 136691,
  "created_date": 1473159405,
  "source": "Email",
  "source_type": "Upload",
  "id": 11200501,
  "stage_id": 12,
  "stage_name": "Screening",
  "assigned_to": {
    "email": "[email protected]",
    "id": 129021,
    "name": "Hannibal Smith"
  },
  "state_metadata": {
    "reason": "Not a fit",
    "explanation": "Underqualified"  
  },
  "created_by": null,
  "phone": "8011290883",
  "state": "in_process",
  "profile_data": [
    {
      "name": "Linkedin",
      "value": "https://www.linkedin.com/us/rhendricks"
    },
    {
      "name": "Twitter",
      "value": "https://twitter.com/rhendricks"
    },
    {
      "name": "Current Location",
      "value": "Silicon Valley, California"
    }
  ]
}