Step by Step Guide to Building a Recruitee API Integration in Python

Introduction

Hey there, fellow code wrangler! Ready to dive into the world of recruitment automation? We're about to embark on a journey to build a slick Recruitee API integration using Python. This nifty tool will help you manage candidates, job postings, and more, all from the comfort of your favorite IDE. Let's get cracking!

Prerequisites

Before we start, make sure you've got:

• Python 3.7+ (because who doesn't love f-strings?)
• A Recruitee account with API access (obviously)
• Your favorite text editor or IDE
• A burning desire to make recruitment easier

Setting up the environment

First things first, let's get our environment ready:

pip install requests

Now, let's set up our API credentials:

import os

API_KEY = os.environ.get('RECRUITEE_API_KEY')
COMPANY_ID = os.environ.get('RECRUITEE_COMPANY_ID')

BASE_URL = f'https://api.recruitee.com/c/{COMPANY_ID}'

Pro tip: Always use environment variables for sensitive info. Your future self will thank you!

Basic API interaction

Let's start with a simple GET request to test the waters:

import requests

def get_candidates():
    response = requests.get(f'{BASE_URL}/candidates', headers={'Authorization': f'Bearer {API_KEY}'})
    response.raise_for_status()
    return response.json()

candidates = get_candidates()
print(f"Found {len(candidates['candidates'])} candidates")

Core functionality implementation

Now that we've got the basics down, let's implement some core features:

def create_candidate(data):
    response = requests.post(f'{BASE_URL}/candidates', json=data, headers={'Authorization': f'Bearer {API_KEY}'})
    response.raise_for_status()
    return response.json()

def update_candidate(candidate_id, data):
    response = requests.patch(f'{BASE_URL}/candidates/{candidate_id}', json=data, headers={'Authorization': f'Bearer {API_KEY}'})
    response.raise_for_status()
    return response.json()

def get_job_postings():
    response = requests.get(f'{BASE_URL}/offers', headers={'Authorization': f'Bearer {API_KEY}'})
    response.raise_for_status()
    return response.json()

Error handling and rate limiting

Let's add some resilience to our code:

import time
from requests.exceptions import RequestException

def api_call_with_retry(func, max_retries=3, delay=1):
    for attempt in range(max_retries):
        try:
            return func()
        except RequestException as e:
            if attempt == max_retries - 1:
                raise
            time.sleep(delay * (2 ** attempt))

Data processing and storage

Time to make sense of all that data:

import sqlite3

def store_candidates(candidates):
    conn = sqlite3.connect('recruitee.db')
    c = conn.cursor()
    c.execute('''CREATE TABLE IF NOT EXISTS candidates
                 (id INTEGER PRIMARY KEY, name TEXT, email TEXT)''')
    for candidate in candidates:
        c.execute("INSERT OR REPLACE INTO candidates VALUES (?, ?, ?)",
                  (candidate['id'], candidate['name'], candidate['email']))
    conn.commit()
    conn.close()

store_candidates(get_candidates()['candidates'])

Building a simple CLI interface

Let's make our tool user-friendly:

import argparse

def main():
    parser = argparse.ArgumentParser(description='Recruitee API Integration')
    parser.add_argument('action', choices=['list', 'create', 'update'])
    args = parser.parse_args()

    if args.action == 'list':
        candidates = get_candidates()
        for candidate in candidates['candidates']:
            print(f"{candidate['id']}: {candidate['name']} ({candidate['email']})")
    # Implement other actions here

if __name__ == '__main__':
    main()

Advanced features (optional)

Want to level up? Try implementing webhooks or bulk operations. The sky's the limit!

Testing and validation

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

import unittest

class TestRecruiteeAPI(unittest.TestCase):
    def test_get_candidates(self):
        candidates = get_candidates()
        self.assertIsInstance(candidates, dict)
        self.assertIn('candidates', candidates)

if __name__ == '__main__':
    unittest.main()

Deployment considerations

When deploying, remember to:

• Use environment variables for API credentials
• Set up proper logging
• Consider using a task scheduler for regular API calls

Conclusion

And there you have it! You've just built a powerful Recruitee API integration in Python. With this foundation, you can automate your recruitment process, save time, and focus on finding the best talent out there.

Remember, the Recruitee API has a lot more to offer. Don't be afraid to explore and expand on this integration. Happy coding, and may your candidate pipeline always be full!