Hi everyone,
I’m currently working on integrating the Miro API into a custom workflow automation application to streamline collaboration and task management across teams. One of the key challenges I’m facing is efficiently handling large boards with numerous widgets while maintaining optimal performance and ensuring data consistency.
I’ve been using the Miro REST API to retrieve board data and automate widget creation. Here’s a basic example of how I’m currently interacting with the API to create sticky notes dynamically:
import requests
API_TOKEN = 'your_miro_api_token'
BOARD_ID = 'your_board_id'
headers = {
'Authorization': f'Bearer {API_TOKEN}',
'Content-Type': 'application/json'
}
data = {
"data": {
"content": "Automated Task",
"style": {
"fillColor": "#FFCC00"
}
},
"position": {
"x": 100,
"y": 100
},
"type": "sticky_note"
}
response = requests.post(f'https://api.miro.com/v2/boards/{BOARD_ID}/items', json=data, headers=headers)
if response.status_code == 201:
print("Sticky note created successfully!")
else:
print("Error:", response.json())
I'm looking for advice on best practices for optimizing API calls, managing rate limits, and ensuring real-time synchronization with external applications.
I recently explored some software development services that specialize in workflow automation and Miro API integrations, but I’d love to hear from the community—what strategies have worked best for you in integrating Miro into your custom applications?
Any recommendations or insights would be greatly appreciated!
Thanks in advance.
