Oracle Cloud HCM (Human Capital Management) offers a robust REST API that allows organizations to access, manage, and synchronize employee data efficiently. Whether you’re automating HR workflows, integrating with third-party tools, or building analytics dashboards, the Oracle HCM API provides the flexibility to do it all.
This article walks you through how to get employee data from the Oracle Cloud HCM API, both for a single employee and for all employees, using Python. It’s part of our in-depth Oracle HCM API series, which also covers authentication, rate limits, and advanced integrations.
Prerequisites
Before you start, ensure you have:
- Access to Oracle Cloud HCM with the required API permissions.
- Client ID and Client Secret for authentication.
- A Python environment with libraries like
requestsinstalled.
API Endpoints
1. Get Data for One Employee
To retrieve data for a specific employee, use the endpoint below:
GET /hcmRestApi/resources/latest/emps/{employeeId}
Replace {employeeId} with the actual employee’s ID.
2. Get Data for All Employees
To fetch information for all employees, use:
GET /hcmRestApi/resources/latest/emps
Python Code Examples
1. Authentication
import requests
def get_access_token(client_id, client_secret):
url = "https://your-instance.oraclecloud.com/oauth2/v1/token"
payload = {'grant_type': 'client_credentials'}
headers = {
'Authorization': f'Basic {client_id}:{client_secret}',
'Content-Type': 'application/x-www-form-urlencoded'
}
response = requests.post(url, data=payload, headers=headers)
return response.json().get('access_token')2. Get Data for One Employee
def get_employee(employee_id, access_token):
url = f"https://your-instance.oraclecloud.com/hcmRestApi/resources/latest/emps/{employee_id}"
headers = {'Authorization': f'Bearer {access_token}'}
response = requests.get(url, headers=headers)
return response.json()3. Get Data for All Employees
def get_all_employees(access_token):
url = "https://your-instance.oraclecloud.com/hcmRestApi/resources/latest/emps"
headers = {'Authorization': f'Bearer {access_token}'}
response = requests.get(url, headers=headers)
return response.json()Common Pitfalls
Integrating with Oracle Cloud HCM can be tricky if you overlook small details. Here are some common pitfalls to avoid:
- Using incorrect or incomplete endpoint URLs.
- Failing to refresh expired access tokens.
- Lacking sufficient API access permissions.
- Using invalid or malformed employee IDs.
- Ignoring pagination for large datasets.
- Hitting rate limits during bulk operations.
- Network or SSL configuration issues.
Pro Tip: Always test endpoints in Oracle’s sandbox environment before moving to production.
Frequently Asked Questions
1. How do I find my Oracle Cloud HCM instance URL?
You can check your Oracle Cloud dashboard or contact your system administrator.
2. What if I get a 401 Unauthorized error?
Your access token may be invalid or expired. Regenerate the token and ensure your credentials are correct.
3. Can I filter employee data?
Yes, you can add query parameters (e.g., ?q=department=IT) to filter responses.
4. How do I handle pagination?
Use the next link in the API response to fetch additional pages of employee records.
5. Is the data returned in JSON format?
Yes, Oracle Cloud HCM APIs return structured JSON responses.
6. Does Oracle provide a sandbox environment?
Yes, you can request access to a sandbox for safe testing and development.
Knit for Oracle Cloud HCM API Integration
Manually managing authentication, data mapping, and maintenance for Oracle Cloud HCM API can quickly become complex. Knit API simplifies this process through a unified integration layer.
By integrating once with Knit HRIS API, you can:
- Access Oracle HCM data without managing tokens or rate limits.
- Automate employee data syncs with other HR and payroll systems.
- Reduce engineering effort and integration downtime.
With Knit, teams can focus on innovation while we handle the integration complexity, making your Oracle Cloud HCM data accessible, secure, and reliable.

