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

Introduction

Hey there, fellow developer! Ready to dive into the world of Kajabi API integration? You're in for a treat. Kajabi's API is a powerful tool that lets you tap into their platform's functionality, giving you the ability to create some seriously cool integrations. Whether you're looking to automate processes, pull data, or create custom experiences for your users, this guide will get you up and running in no time.

Prerequisites

Before we jump in, let's make sure you've got your ducks in a row:

• A Python environment (3.6+ recommended)
• Libraries: requests, json (you know the drill)
• Kajabi API credentials (we'll cover this in a sec)

Got all that? Great! Let's roll.

Authentication

First things first, you'll need to get cozy with Kajabi's authentication process. It's not too scary, I promise.

1. Grab your API key and secret from your Kajabi account.
2. Implement the OAuth 2.0 flow. It's pretty standard stuff, but here's a quick snippet to get you started:

import requests

client_id = 'your_client_id'
client_secret = 'your_client_secret'
token_url = 'https://kajabi.com/oauth/token'

data = {
    'grant_type': 'client_credentials',
    'client_id': client_id,
    'client_secret': client_secret
}

response = requests.post(token_url, data=data)
access_token = response.json()['access_token']

Making API Requests

Now that you're authenticated, it's time to start making some requests. Kajabi's API is RESTful, so if you've worked with APIs before, this should feel familiar.

Here's the base URL you'll be working with:

https://kajabi.com/api/v1

And a quick example of how to make a GET request:

import requests

headers = {
    'Authorization': f'Bearer {access_token}',
    'Accept': 'application/json'
}

response = requests.get('https://kajabi.com/api/v1/courses', headers=headers)
courses = response.json()

Core Functionalities

Alright, now we're cooking! Let's look at some of the core things you can do:

Retrieving Course Data

response = requests.get('https://kajabi.com/api/v1/courses', headers=headers)
courses = response.json()

Managing Users

new_user = {
    'email': '[email protected]',
    'first_name': 'John',
    'last_name': 'Doe'
}
response = requests.post('https://kajabi.com/api/v1/users', headers=headers, json=new_user)

Handling Subscriptions

subscription_id = '12345'
response = requests.get(f'https://kajabi.com/api/v1/subscriptions/{subscription_id}', headers=headers)
subscription = response.json()

Error Handling and Rate Limiting

Don't forget to handle those pesky errors and respect Kajabi's rate limits. Here's a quick example:

import time

def make_request(url):
    while True:
        response = requests.get(url, headers=headers)
        if response.status_code == 429:  # Too Many Requests
            retry_after = int(response.headers.get('Retry-After', 5))
            time.sleep(retry_after)
        else:
            return response

Data Processing and Storage

Once you've got your data, you'll probably want to do something with it. Here's a simple example of parsing JSON and storing it in a database:

import json
import sqlite3

response = make_request('https://kajabi.com/api/v1/courses')
courses = response.json()

conn = sqlite3.connect('kajabi_data.db')
c = conn.cursor()

for course in courses:
    c.execute("INSERT INTO courses VALUES (?, ?)", (course['id'], json.dumps(course)))

conn.commit()
conn.close()

Advanced Features

Ready to level up? Let's talk webhooks, batch operations, and pagination.

Webhooks

Kajabi supports webhooks for real-time updates. Here's how you might handle a webhook:

from flask import Flask, request

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def handle_webhook():
    data = request.json
    # Process the webhook data
    return '', 200

Pagination

Many Kajabi API endpoints are paginated. Here's how to handle that:

def get_all_pages(url):
    all_data = []
    while url:
        response = make_request(url)
        data = response.json()
        all_data.extend(data['data'])
        url = data.get('links', {}).get('next')
    return all_data

Testing and Debugging

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

import unittest

class TestKajabiAPI(unittest.TestCase):
    def test_get_courses(self):
        response = make_request('https://kajabi.com/api/v1/courses')
        self.assertEqual(response.status_code, 200)
        self.assertIn('data', response.json())

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

Best Practices and Optimization

To wrap things up, here are a few tips to keep your integration running smoothly:

1. Cache frequently accessed data to reduce API calls.
2. Use asynchronous requests for better performance when making multiple API calls.
3. Keep your access token secure and refresh it regularly.

And there you have it! You're now equipped to build some awesome Kajabi integrations. Remember, the Kajabi API documentation is your best friend, so don't be shy about referring to it often. Happy coding, and may your integrations be ever bug-free!