Sync Application Interview Feedback

Application interview feedback should be sent via the Middleware Platform whenever they are created or updated in your ATS. As LinkedIn partners, use both your application identifier and interview feedback identifier when syncing application interview feedback via API.

Note

The latest API version is 202603. Use this version in the LinkedIn-Version header for all API requests to access the most recent features and improvements.

Throttle Limits

Endpoint	Requests Per Day (UTC)	Records Per Minute
rest/applicationInterviewFeedbacks	1,000,000	N/A

Note

Please submit batch calls grouped with no more than 100 records in sequential order.

Sync Application Interview Feedback

Use the following endpoint to create and update application interview feedback:

API Endpoint

PUT https://api.linkedin.com/rest/applicationInterviewFeedbacks?ids[0].jobApplicationId={application_id}&ids[0].integrationContext=urn:li:organization:{org_id}&ids[0].interviewFeedbackId={interview_feedback_id}

Request Body Fields

Field	Description	Format	Required
interviewer	The person who interviewed the candidate and wrote the evaluation.	Actor	No
interviewType	The type of interview conducted.	Possible values are: PHONE_SCREEN or ONSITE	No
feedback	The general feedback about the interview.	String	Yes
evaluations	A list of final evaluations for this interview.	Array	Yes
externalLastModifiedAt	The timestamp when the feedback was last modified in your system.	UTC Epoch Milliseconds	Yes
externalCreatedAt	The timestamp when the feedback was created in your system.	UTC Epoch Milliseconds	Yes

Sample Request (without query tunneling)

curl --location --globoff --request PUT 'https://api.linkedin.com/rest/applicationInterviewFeedbacks?ids[0].jobApplicationId=jdoe_sw_engr_1001&ids[0].integrationContext=urn:li:organization:70540833&ids[0].interviewFeedbackId=APPL_INTERVIEW_0001' \
--header 'Content-Type: application/json' \
--header 'LinkedIn-Version: 202603' \
--header 'Authorization: Bearer {token}' \
--data '{
  "entities": {
    "jobApplicationId=jdoe_sw_engr_1001&integrationContext=urn:li:organization:70540833&interviewFeedbackId=APPL_INTERVIEW_0001": {
      "externalLastModifiedAt": 1757028941000,
      "externalCreatedAt":1757028941000,
      "evaluations": [
        {
          "attribute": "Verbal Communication",
          "result": "4/5"
        }
      ],
      "feedback": "Great interview!",
      "interviewer": {
        "firstName": "John",
        "lastName": "Doe"
      }
    }
 }
}'

Sample Request (with query tunneling)

curl --location --request POST 'https://api.linkedin.com/rest/applicationInterviewFeedbacks' \
--header 'Content-Type: multipart/mixed; boundary=xyz' \
--header 'x-restli-method: batch_update' \
--header 'LinkedIn-Version: 202603' \
--header 'X-HTTP-Method-Override: PUT' \
--header 'Authorization: Bearer {token}' \
--data '--xyz
Content-Type: application/x-www-form-urlencoded

ids[0].jobApplicationId={{application_id}}&ids[0].integrationContext=urn:li:organization:{{org_id}}&ids[0].interviewFeedbackId={{interview_feedback_id}}
--xyz
Content-Type: application/json

{
  "entities": {
    "jobApplicationId={{application_id}}&integrationContext=urn:li:organization:{{org_id}}&interviewFeedbackId={{interview_feedback_id}}": {
        "externalLastModifiedAt": 1758236052000,
        "externalCreatedAt":1758236052000,
        "evaluations": [
            {
            "attribute": "Verbal Communication",
            "result": "4/5"
            }
        ],
        "feedback": "Great interview!",
        "interviewer": {
            "firstName": "John",
            "lastName": "Doe"
        }
    }
  }
}
--xyz--'