Hey there, fellow developer! Ready to supercharge your Webflow projects with some Python magic? Let's dive into the world of Webflow API integration using the awesome Webflowpy package. This guide will get you up and running in no time, so buckle up!
Before we jump in, make sure you've got:
First things first, let's get Webflowpy installed. It's as easy as pie:
pip install webflowpy
Now, let's authenticate and get that Webflow client initialized:
from webflowpy import Webflow webflow = Webflow('YOUR_API_TOKEN_HERE')
Simple, right? You're now ready to rock and roll!
Let's start with some basic operations to get you warmed up:
# Get site info site = webflow.sites()[0] print(f"Site name: {site['name']}") # List collections collections = webflow.collections(site['_id']) for collection in collections: print(f"Collection: {collection['name']}") # Fetch items from a collection items = webflow.items(collections[0]['_id']) for item in items: print(f"Item: {item['name']}")
Time to flex those CRUD muscles:
# Add a new item new_item = webflow.create_item(collection_id, { 'name': 'New Item', 'slug': 'new-item', '_archived': False, '_draft': False }) # Update an item webflow.update_item(collection_id, item_id, {'name': 'Updated Item'}) # Delete an item webflow.remove_item(collection_id, item_id)
Webflow's got some cool custom fields. Here's how to handle them:
# Uploading an image image_url = webflow.upload_image(site_id, '/path/to/image.jpg') # Creating an item with a custom image field webflow.create_item(collection_id, { 'name': 'Item with Image', 'image-field': {'url': image_url} })
Dealing with lots of data? No sweat:
# Paginate through items offset = 0 while True: items = webflow.items(collection_id, offset=offset, limit=100) if not items: break # Process items offset += len(items) # Apply filters filtered_items = webflow.items(collection_id, filter={'field': 'value'})
Let's keep things smooth and reliable:
import time from webflowpy.exceptions import WebflowRateLimitError def api_call_with_retry(func, *args, max_retries=3, **kwargs): for attempt in range(max_retries): try: return func(*args, **kwargs) except WebflowRateLimitError as e: if attempt == max_retries - 1: raise time.sleep(e.retry_after) # Use it like this items = api_call_with_retry(webflow.items, collection_id)
Ready to take it to the next level? Try automating content updates or integrating with other services. The sky's the limit!
And there you have it! You're now equipped to build some seriously cool Webflow integrations with Python. Remember, practice makes perfect, so keep experimenting and pushing the boundaries.
For more in-depth info, check out the Webflowpy documentation and the Webflow API docs. Now go forth and create something awesome!