---
title: "How to Retrieve Candidate Education Data from Bullhorn API using Python"
url: "http://35.223.47.52/blog/how-to-retrieve-candidate-education-data-from-bullhorn-api-using-python/"
date: "2026-08-13T12:58:22+00:00"
modified: "2026-08-23T11:20:30+00:00"
type: "post"
---

# How to Retrieve Candidate Education Data from Bullhorn API using Python

[Blog](http://35.223.47.52/blog) / [Tutorials](http://35.223.47.52/blogs/tutorials/) / How to Retrieve Candidate Education Data from Bullhorn API using Python [Tutorials](http://35.223.47.52/blogs/tutorials/) · August 13, 2026 

How to Retrieve Candidate Education Data from Bullhorn API using Python
=======================================================================

 ![](https://storage.googleapis.com/knit-website-media/2026/08/64c34ca1e0546a9d333bb35a_Kunal-3-150x150.png)Kunal Mishra

3 min read

 

 

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  Table of Contents - [Introduction](#introduction)
- [Prerequisites](#prerequisites)
- [API Endpoints](#api-endpoints)
- [Step-by-Step Process](#step-by-step-process)
- [Common Pitfalls](#common-pitfalls)
- [Frequently Asked Questions](#frequently-asked-questions)
- [Knit for Bullhorn API Integration](#knit-for-bullhorn-api-integration)
 
  Introduction
------------

This article is part of a broader series covering the [Bullhorn API](https://developers.getknit.dev/docs/bullhorn-usecases) in depth. It focuses specifically on retrieving candidate education data using the Bullhorn API.

If you’re building recruitment workflows, enriching candidate profiles, or standardizing talent data, accessing structured education records is a foundational requirement. This guide walks through how to do that efficiently, both for individual candidates and at scale.

For a complete overview of authentication, rate limits, and other Bullhorn API use cases, refer to the full guide [here](/blog/bullhorn-api-directory-dlpbve/).

### Prerequisites

Before getting started, ensure the following are in place:

- Access to the Bullhorn API with valid credentials
- BhRestToken obtained from the login process
- Python environment set up with required libraries (e.g., `requests`)

### API Endpoints

- `GET /entity/CandidateEducation/{id}`: Retrieve education data for a specific candidate
- `GET /search/CandidateEducation`: Retrieve education data across all candidates

### Step-by-Step Process

#### 1. Obtain Access Token

```
import requests

login_url = 'https://auth.bullhornstaffing.com/oauth/token'
params = {
    'grant_type': 'password',
    'client_id': 'YOUR_CLIENT_ID',
    'client_secret': 'YOUR_CLIENT_SECRET',
    'username': 'YOUR_USERNAME',
    'password': 'YOUR_PASSWORD'
}
response = requests.post(login_url, data=params)
access_token = response.json()['access_token']
```

#### 2. Get Candidate Education Data for One Candidate

```
candidate_id = 'CANDIDATE_ID'
education_url = f'https://rest.bullhorn.com/rest-services/{corpToken}/entity/CandidateEducation/{candidate_id}'
headers = {'BhRestToken': access_token}
response = requests.get(education_url, headers=headers)
education_data = response.json()
```

#### 3. Get Candidate Education Data for All Candidates

```
search_url = f'https://rest.bullhorn.com/rest-services/{corpToken}/search/CandidateEducation'
params = {'query': '*', 'fields': 'id,candidate,degree,school,major'}
response = requests.get(search_url, headers=headers, params=params)
all_education_data = response.json()
```

Common Pitfalls
---------------

Execution typically fails not because of complexity, but due to operational gaps. Watch for these:

1. **Token lifecycle mismanagement**
    BhRestToken expires. Not handling refresh flows will break production pipelines.
2. **Incorrect endpoint construction**
    Missing or incorrect `corpToken` in the base URL leads to silent failures.
3. **Incomplete query parameters**
    Skipping required fields or malformed queries results in partial or empty responses.
4. **No response validation layer**
    Ignoring HTTP status codes leads to bad data entering downstream systems.
5. **Rate limit blind spots**
    High-frequency calls without throttling can trigger API restrictions.
6. **Improper JSON handling**
    Poor parsing logic causes data inconsistencies, especially in nested structures.
7. **Version drift**
    Bullhorn API updates can break existing integrations if not monitored proactively.

Frequently Asked Questions
--------------------------

1. **How do I refresh the BhRestToken?**
    Re-authenticate using the login process to generate a new token.
2. **What does a 401 error indicate?**
    Typically invalid credentials or an expired BhRestToken.
3. **Can I filter education data?**
    Yes. Use query parameters in the search endpoint to refine results.
4. **Is there a limit to records returned?**
    Yes. Pagination applies, refer to API limits and use `start` and `count`.
5. **How do I handle large datasets?**
    Implement pagination and batch processing to avoid timeouts and rate limits.
6. **What format does the API return?**
    JSON is the standard response format.
7. **Can I update candidate education data?**
    Yes. Use the `PUT /entity/CandidateEducation/{id}` endpoint.

Knit for Bullhorn API Integration
---------------------------------

If your objective is speed and reliability, manual integration is a bottleneck.

[Knit ](/integration/bullhorn/)abstracts the entire Bullhorn API layer into a single integration. Authentication, authorization, and maintenance are handled out of the box.

---

**Ready to build this integration?**
Explore Knit’s [Bullhorn integration](/integration/bullhorn/) or read more about our [Unified ATS API](/integration-categories/unified-ats-api/).

 

 ![](https://storage.googleapis.com/knit-website-media/2026/08/64c34ca1e0546a9d333bb35a_Kunal-3-150x150.png)Written by Kunal Mishra

Changing integration landscape, one organization at a time‍

 

 

 

 

 

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