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Step by Step Guide to Building an Unbounce API Integration in Python

Aug 11, 20245 minute read

Introduction

Hey there, fellow developer! Ready to supercharge your marketing efforts with Unbounce's API? You're in the right place. We're going to walk through building a Python integration that'll have you manipulating landing pages and leads like a pro. Let's dive in!

Prerequisites

Before we get our hands dirty, make sure you've got:

  • Python 3.x installed (you're a dev, so I'm sure you do!)
  • Your favorite IDE ready to roll
  • The requests library (pip install requests)
  • Unbounce API credentials (if you don't have these, hop over to your Unbounce account and grab 'em)

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' }

Easy peasy, right? This header will be your golden ticket for all API requests.

Making API Requests

Unbounce's API base URL is https://api.unbounce.com/. Here's how you'll structure your requests:

BASE_URL = 'https://api.unbounce.com/v0.4/' # GET example response = requests.get(f'{BASE_URL}pages', headers=headers) # POST example data = {'name': 'New Landing Page', 'template_id': 'some_template_id'} response = requests.post(f'{BASE_URL}pages', headers=headers, json=data)

Core API Operations

Let's break down the main operations:

GET: Fetching Data

# Get all pages pages = requests.get(f'{BASE_URL}pages', headers=headers).json() # Get a specific page page_id = 'your_page_id' page = requests.get(f'{BASE_URL}pages/{page_id}', headers=headers).json()

POST: Creating Resources

# Create a new lead lead_data = { 'email': '[email protected]', 'page_id': 'your_page_id' } new_lead = requests.post(f'{BASE_URL}leads', headers=headers, json=lead_data).json()

PUT: Updating Resources

# Update a page update_data = {'name': 'Updated Page Name'} updated_page = requests.put(f'{BASE_URL}pages/{page_id}', headers=headers, json=update_data).json()

DELETE: Removing Resources

# Delete a page deleted = requests.delete(f'{BASE_URL}pages/{page_id}', headers=headers)

Handling Responses

Always check your responses! Here's a quick way to handle potential errors:

response = requests.get(f'{BASE_URL}pages', headers=headers) if response.status_code == 200: data = response.json() # Process your data here else: print(f"Oops! Got an error: {response.status_code}") print(response.text)

Common Use Cases

Here are some snippets for common tasks:

# Fetch all leads for a page page_id = 'your_page_id' leads = requests.get(f'{BASE_URL}pages/{page_id}/leads', headers=headers).json() # Update a form field field_data = {'label': 'New Field Label'} updated_field = requests.put(f'{BASE_URL}pages/{page_id}/form_fields/field_id', headers=headers, json=field_data).json()

Best Practices

  1. Mind the rate limits! Unbounce caps at 180 requests per minute.
  2. Use pagination for large datasets to avoid timeouts.
  3. Cache frequently accessed data to reduce API calls.

Testing and Debugging

Unbounce provides a sandbox environment for testing. Just append /sandbox to the base URL:

SANDBOX_URL = 'https://api.unbounce.com/sandbox/v0.4/'

And don't forget to log your requests and responses for easier debugging!

Conclusion

There you have it! You're now equipped to build a robust Unbounce API integration in Python. Remember, the API is your playground - experiment, build, and create amazing things. If you get stuck, the Unbounce API docs are your best friend.

Now go forth and code! Your landing pages are waiting to be programmatically awesome. Happy coding!