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Overview

This node integrates with the Canva API to manage comments on designs, specifically allowing users to retrieve a specific reply within a comment thread. The "Get Reply" operation fetches detailed information about a particular reply in a comment thread identified by its thread ID and reply ID.

Common scenarios where this node is beneficial include:

  • Automating retrieval of user feedback or discussion points on a design.
  • Integrating comment replies into workflows for review or approval processes.
  • Monitoring specific replies in collaborative design projects.

For example, a marketing team could use this node to automatically pull replies to comments on a campaign design to track feedback without manually checking Canva.

Properties

Name Meaning
Thread ID The unique identifier of the comment thread containing the reply.
Reply ID The unique identifier of the specific reply within the comment thread to retrieve.

Output

The node outputs JSON data representing the details of the requested reply within the comment thread. This typically includes fields such as the reply content, author information, timestamps, and any metadata associated with the reply.

No binary data output is involved in this operation.

Dependencies

  • Requires an API key credential for authenticating with the Canva API.
  • The node makes HTTP GET requests to the Canva REST API endpoint:
    https://api.canva.com/rest/v1/comments/{threadId}/replies/{replyId}

Troubleshooting

  • Invalid Thread ID or Reply ID: If either ID is incorrect or does not exist, the API will likely return a 404 error. Verify that both IDs are correct and correspond to existing comment threads and replies.
  • Authentication Errors: Missing or invalid API credentials will cause authentication failures. Ensure the API key or OAuth token is correctly configured in n8n credentials.
  • Rate Limits: Excessive requests may trigger rate limiting by the Canva API. Implement retry logic or reduce request frequency if encountering rate limit errors.
  • Network Issues: Connectivity problems can cause request failures. Check network access and proxy settings if applicable.

Links and References

Discussion