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

Introduction

Hey there, fellow developer! Ready to dive into the world of Leadpages API integration? You're in for a treat. We'll be walking through the process of building a robust integration using Python. This guide assumes you're already familiar with Python and API basics, so we'll keep things snappy and focus on the good stuff.

Prerequisites

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

• A Python environment set up (3.6+ recommended)
• The requests library installed (pip install requests)
• Your Leadpages API credentials handy

Authentication

First things first, let's get you authenticated:

import requests

API_KEY = 'your_api_key_here'
headers = {
    'Authorization': f'Bearer {API_KEY}',
    'Content-Type': 'application/json'
}

Pro tip: Keep your API key safe and out of version control!

Basic API Requests

Let's start with a simple GET request:

response = requests.get('https://api.leadpages.io/v1/leads', headers=headers)
print(response.json())

Easy peasy, right? Now you're cooking with gas!

CRUD Operations

Time to get your hands dirty with some Create, Read, Update, and Delete operations:

Creating a lead

new_lead = {
    'email': '[email protected]',
    'first_name': 'John',
    'last_name': 'Doe'
}
response = requests.post('https://api.leadpages.io/v1/leads', json=new_lead, headers=headers)

Retrieving lead info

lead_id = '12345'
response = requests.get(f'https://api.leadpages.io/v1/leads/{lead_id}', headers=headers)

Updating a lead

updated_info = {'first_name': 'Jane'}
response = requests.patch(f'https://api.leadpages.io/v1/leads/{lead_id}', json=updated_info, headers=headers)

Deleting a lead

response = requests.delete(f'https://api.leadpages.io/v1/leads/{lead_id}', headers=headers)

Pagination and Filtering

Leadpages API uses cursor-based pagination. Here's how to handle it:

def get_all_leads():
    url = 'https://api.leadpages.io/v1/leads'
    while url:
        response = requests.get(url, headers=headers)
        data = response.json()
        for lead in data['results']:
            yield lead
        url = data.get('next')

# Usage
for lead in get_all_leads():
    print(lead)

For filtering, just add query parameters to your URL. For example:

response = requests.get('https://api.leadpages.io/v1/[email protected]', headers=headers)

Error Handling

Always expect the unexpected:

try:
    response = requests.get('https://api.leadpages.io/v1/leads', headers=headers)
    response.raise_for_status()
except requests.exceptions.HTTPError as err:
    print(f"HTTP error occurred: {err}")
except Exception as err:
    print(f"An error occurred: {err}")

Rate Limiting

Leadpages API has rate limits, so be a good citizen:

import time

def rate_limited_request(url, method='GET', **kwargs):
    while True:
        response = requests.request(method, url, **kwargs)
        if response.status_code != 429:
            return response
        time.sleep(int(response.headers.get('Retry-After', 5)))

Webhooks

If you're using webhooks, here's a quick Flask example to get you started:

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

if __name__ == '__main__':
    app.run(port=5000)

Best Practices

1. Cache frequently accessed data to reduce API calls.
2. Use asynchronous requests for better performance when dealing with multiple API calls.
3. Always validate and sanitize data before sending it to the API.

Testing

Here's a quick example using unittest and unittest.mock:

import unittest
from unittest.mock import patch
import your_api_module

class TestLeadpagesAPI(unittest.TestCase):
    @patch('requests.get')
    def test_get_lead(self, mock_get):
        mock_get.return_value.json.return_value = {'id': '12345', 'email': '[email protected]'}
        lead = your_api_module.get_lead('12345')
        self.assertEqual(lead['email'], '[email protected]')

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

Conclusion

And there you have it! You're now armed with the knowledge to build a solid Leadpages API integration in Python. Remember, the key to a great integration is clean code, robust error handling, and respecting API limits. Now go forth and code something awesome!

Happy coding, and may your leads be ever-flowing!