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

Aug 11, 20246 minute read

Introduction

Hey there, fellow developer! Ready to dive into the world of Squarespace API integration? You're in for a treat. We'll be walking through the process of building a robust integration using Python, giving you the power to interact with Squarespace sites programmatically. Let's get cracking!

Prerequisites

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

  • A Python environment set up (I'm assuming you're good to go here)
  • A Squarespace developer account (if not, hop over to their developer portal and sign up)
  • Your shiny API key (you'll find this in your developer account)

Setting up the project

First things first, let's get our project structure in place:

mkdir squarespace-api-project cd squarespace-api-project python -m venv venv source venv/bin/activate # On Windows, use `venv\Scripts\activate` pip install requests

Authentication

Squarespace uses OAuth 2.0, so let's set that up:

import requests CLIENT_ID = 'your_client_id' CLIENT_SECRET = 'your_client_secret' REDIRECT_URI = 'your_redirect_uri' def get_access_token(code): url = 'https://login.squarespace.com/api/1/login/oauth/token' data = { 'grant_type': 'authorization_code', 'code': code, 'client_id': CLIENT_ID, 'client_secret': CLIENT_SECRET, 'redirect_uri': REDIRECT_URI } response = requests.post(url, data=data) return response.json()['access_token']

Making API requests

Now that we're authenticated, let's make some requests:

def make_api_request(endpoint, access_token): headers = {'Authorization': f'Bearer {access_token}'} url = f'https://api.squarespace.com/{endpoint}' response = requests.get(url, headers=headers) response.raise_for_status() return response.json()

Core API functionalities

Let's look at some key operations:

# Get site information site_info = make_api_request('1.0/sites', access_token) # Fetch products products = make_api_request('1.0/commerce/products', access_token) # Get orders orders = make_api_request('1.0/commerce/orders', access_token) # Update inventory def update_inventory(product_id, variant_id, quantity): endpoint = f'1.0/commerce/inventory/{product_id}/{variant_id}' data = {'quantity': quantity} requests.put(f'https://api.squarespace.com/{endpoint}', json=data, headers=headers)

Data processing and manipulation

Here's a quick example of how you might process the data:

import json def process_products(products): for product in products['products']: print(f"Product: {product['name']}, Price: {product['pricing']['basePrice']}")

Error handling and rate limiting

Always be prepared for things to go wrong:

import time def api_request_with_retry(endpoint, access_token, max_retries=3): for attempt in range(max_retries): try: return make_api_request(endpoint, access_token) except requests.exceptions.RequestException as e: if attempt == max_retries - 1: raise time.sleep(2 ** attempt) # Exponential backoff

Building a simple application

Let's put it all together with a simple inventory management tool:

def inventory_manager(): access_token = get_access_token('your_auth_code') products = api_request_with_retry('1.0/commerce/products', access_token) for product in products['products']: for variant in product['variants']: print(f"Product: {product['name']}, Variant: {variant['sku']}, Stock: {variant['stock']}") if variant['stock'] < 10: new_stock = 50 update_inventory(product['id'], variant['id'], new_stock) print(f"Restocked {product['name']} - {variant['sku']} to {new_stock} units") if __name__ == '__main__': inventory_manager()

Testing and debugging

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

import unittest from unittest.mock import patch class TestSquarespaceAPI(unittest.TestCase): @patch('requests.get') def test_make_api_request(self, mock_get): mock_get.return_value.json.return_value = {'test': 'data'} result = make_api_request('test_endpoint', 'fake_token') self.assertEqual(result, {'test': 'data'}) if __name__ == '__main__': unittest.main()

Best practices and optimization

Remember to implement caching where appropriate to minimize API calls:

import functools @functools.lru_cache(maxsize=None) def cached_api_request(endpoint, access_token): return make_api_request(endpoint, access_token)

Conclusion

And there you have it! You've just built a Squarespace API integration in Python. Pretty cool, right? Remember, this is just scratching the surface. There's so much more you can do with the Squarespace API, so don't be afraid to explore and experiment.

For more in-depth information, check out the Squarespace API documentation. Happy coding, and may your integration be ever smooth and bug-free!