---
title: "Developer guide to get employee data from IRIS Cascade API"
url: "https://getknit.dev/blog/developer-guide-to-get-employee-data-from-iris-cascade-api/"
date: "2025-10-26T05:33:46+00:00"
modified: "2026-04-11T05:22:12+00:00"
type: "post"
---

# Developer guide to get employee data from IRIS Cascade API

[Blog](https://getknit.dev/blog) / [Tutorials](https://getknit.dev/blogs/tutorials/) / Developer guide to get employee data from IRIS Cascade API [Tutorials](https://getknit.dev/blogs/tutorials/) · October 26, 2025 · Updated April 11, 2026 

Developer guide to get employee data from IRIS Cascade API
==========================================================

 ![](https://storage.googleapis.com/knit-website-media/2026/08/64c34ca1e0546a9d333bb35a_Kunal-3-112x112.png)Kunal Mishra

3 min read

 

 

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  Table of Contents - [Introduction](#)
- [Prerequisites](#)
- [API Endpoints](#)
- [Step-by-Step Guide](#)
- [Common Pitfalls and How to Avoid Them](#)
- [Frequently Asked Questions](#)
- [Integrating IRIS Cascade with Knit](#)
 
  ### Introduction

This article is part of our in-depth series on the **HRIS API**. In this guide, we’ll walk through how to **retrieve employee data** from IRIS Cascade, covering endpoints, prerequisites, sample code, and common troubleshooting tips.

If you’d like a deeper look at authentication, rate limits, and other use cases, check out our full list of [HRIS API Guides](/blog/full-list-of-knits-hris-api-guides/).

The **IRIS Cascade API** provides endpoints that let you retrieve detailed employee information from basic personal details to department, position, and status. You can query data for a **single employee** or retrieve **all employee records** in bulk.

### Prerequisites

Before you begin, make sure you have:

- Access to the **IRIS Cascade API** with valid credentials.
- A **Python** environment with the `requests` library installed.
- Proper authorization tokens (usually a Bearer token).

### API Endpoints

- **Get all employees:** `GET /employees`
- **Get a specific employee by ID:** `GET /employees/{id}`

### Step-by-Step Guide

#### 1. Retrieve All Employees

```
import requests

url = "https://yourdomain.com/api/employees"
headers = {"Authorization": "Bearer YOUR_ACCESS_TOKEN"}

response = requests.get(url, headers=headers)
if response.status_code == 200:
    employees = response.json()
    print(employees)
else:
    print("Failed to retrieve employees")
```

`‍<br></br>`

#### 2. Retrieve a Single Employee by ID

```
import requests

employee_id = "12345"
url = f"https://yourdomain.com/api/employees/{employee_id}"
headers = {"Authorization": "Bearer YOUR_ACCESS_TOKEN"}

response = requests.get(url, headers=headers)
if response.status_code == 200:
    employee = response.json()
    print(employee)
else:
    print("Failed to retrieve employee")
```

`‍<br></br>`

### Common Pitfalls and How to Avoid Them

1. **Incorrect endpoint URL:** Double-check your base URL and path before sending a request.
2. **Expired or invalid tokens:** Refresh your token regularly or implement automated token rotation.
3. **Ignoring pagination:** Large datasets are often paginated; use `$top` and `$skip` parameters.
4. **Uncaught errors:** Always handle `4xx` and `5xx` responses to log and debug effectively.
5. **Rate limit breaches:** Respect API rate limits and add retry mechanisms.
6. **Incorrect employee ID format:** Ensure IDs match the expected format defined by your HR system.
7. **SSL or network errors:** Configure secure connections and handle connection exceptions gracefully.

### Frequently Asked Questions

**1. What is the maximum number of employees I can retrieve in one request?**
You can fetch up to **250 employees** per request using the `$top` query parameter.

**2. How can I handle pagination for large datasets?**
Use `$skip` and `$top` parameters to iterate through the employee list efficiently.

**3. Can I filter the employee data?**
Yes, apply the `$filter` parameter to retrieve employees based on specific attributes like department or job title.

**4. What data formats does IRIS Cascade support?**
The API supports **JSON** and **XML** response formats. JSON is recommended for most integrations.

**5. How do I authenticate my API requests?**
Include a **Bearer token** in the `Authorization` header of every request.

**6. What if I receive a 401 Unauthorized error?**
This usually means your token has expired or is invalid. Generate a new one and try again.

### Integrating IRIS Cascade with Knit

Instead of building and maintaining your own integration, **Knit API** lets you connect to IRIS Cascade in minutes. With a single integration, Knit manages:

- Authentication and token refresh
- Data synchronization
- Error handling and maintenance

For developers who want to avoid maintaining HR integrations and focus on product innovation, [**Knit** ](/integration-categories/unified-hris-api/)provides a unified, reliable, and scalable way to connect to IRIS Cascade and other HRIS systems effortlessly.

Building an IRIS Cascade integration?

Knit gives you one way to build it. Pick the one that fits.

- [IRIS Cascade on Unified API](https://getknit.dev/integration/iris-cascade/)
    
    Your customers want IRIS Cascade and the other HRIS tools they use. Build one integration and get normalised read and write data with real-time webhooks.
    
    [Try free](https://dashboard.getknit.dev/signup)

Knit's Unified API connects to 190+ apps across HRIS, ATS, CRM, accounting and more.

Knit never stores your end users' data and is SOC 2, GDPR and ISO 27001 compliant: [How Knit handles security](/security/) · [Security Center](https://compliance.getknit.dev/)

Not sure which fits? [Talk to a human](/book-demo/)

 

 ![](https://storage.googleapis.com/knit-website-media/2026/08/64c34ca1e0546a9d333bb35a_Kunal-3-112x112.png)Written by Kunal Mishra

Changing integration landscape, one organization at a time‍

 

 

 

 

 

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