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Step by Step Guide to Building a UKG Pro Recruiting API Integration in JS

Aug 11, 20246 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of UKG Pro Recruiting API integration? You're in for a treat. This guide will walk you through the process of building a robust integration using JavaScript. We'll cover everything from setup to deployment, so buckle up and let's get coding!

Prerequisites

Before we jump in, make sure you've got:

  • Node.js installed
  • A UKG Pro Recruiting API key (if you don't have one, reach out to your UKG rep)
  • Your favorite code editor ready to roll

Setting Up the Development Environment

First things first, let's get our project set up:

mkdir ukg-pro-integration cd ukg-pro-integration npm init -y npm install axios dotenv

Create a .env file in your project root and add your API credentials:

UKG_API_KEY=your_api_key_here
UKG_API_SECRET=your_api_secret_here

Making API Requests

Now, let's create an api.js file to handle our requests:

require('dotenv').config(); const axios = require('axios'); const api = axios.create({ baseURL: 'https://api.ultipro.com', headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${process.env.UKG_API_KEY}` } }); module.exports = api;

Implementing Core Functionalities

Let's tackle some key features:

Fetching Job Listings

async function getJobListings() { try { const response = await api.get('/jobs'); return response.data; } catch (error) { console.error('Error fetching job listings:', error); } }

Submitting Applications

async function submitApplication(jobId, candidateData) { try { const response = await api.post(`/jobs/${jobId}/apply`, candidateData); return response.data; } catch (error) { console.error('Error submitting application:', error); } }

Error Handling and Rate Limiting

Let's add some retry logic and respect those rate limits:

const MAX_RETRIES = 3; const RETRY_DELAY = 1000; async function apiCallWithRetry(apiCall) { for (let i = 0; i < MAX_RETRIES; i++) { try { return await apiCall(); } catch (error) { if (error.response && error.response.status === 429) { await new Promise(resolve => setTimeout(resolve, RETRY_DELAY)); } else { throw error; } } } throw new Error('Max retries reached'); }

Data Processing and Storage

Here's a quick example of how you might process and store job data:

const fs = require('fs').promises; async function processAndStoreJobs() { const jobs = await getJobListings(); const processedJobs = jobs.map(job => ({ id: job.id, title: job.title, location: job.location, description: job.description })); await fs.writeFile('jobs.json', JSON.stringify(processedJobs, null, 2)); }

Building a Simple User Interface (Optional)

If you're feeling fancy, why not whip up a quick Express server to display those jobs?

const express = require('express'); const app = express(); app.get('/jobs', async (req, res) => { const jobs = await getJobListings(); res.json(jobs); }); app.listen(3000, () => console.log('Server running on port 3000'));

Testing and Debugging

Don't forget to test your code! Here's a simple test using Jest:

const { getJobListings } = require('./api'); test('getJobListings returns an array', async () => { const jobs = await getJobListings(); expect(Array.isArray(jobs)).toBe(true); });

Deployment Considerations

When you're ready to deploy, remember to:

  1. Use environment variables for sensitive data
  2. Implement proper error logging
  3. Consider using a process manager like PM2 for Node.js applications

Conclusion

And there you have it! You've just built a UKG Pro Recruiting API integration in JavaScript. Pretty cool, right? Remember, this is just the beginning. There's always more to explore and optimize. Keep experimenting, and don't hesitate to dive into the UKG Pro documentation for more advanced features.

Happy coding, and may your integrations always be smooth!