We’re going to use Pipedream to sync Airtable to our website.
I have set up Pipedream’s pre-made Airtable triggers, and can monitor for add/update/remove events; however, an update event is triggered for every keypress in an Airtable cell. I’d prefer one event when the Airtable user is finished editing that cell.
If that’s not possible, I’m planning to either:
Buffer events for 20 or 30s before sending;
Use Airtable automation to call a Pipedream webhook instead of using the pre-made Airtable triggers; or
Set up regular polling to check for changes and respond accordingly.
Any insight or recommendations will be appreciated. I couldn’t find an answer in the community, but I’m sure that similar questions arise.
Based on your requirements for syncing Airtable to your website with Pipedream, and considering the challenge with update events being too frequent, here are some insights and recommendations:
Buffering Events: Implementing a buffer to group events over a period (20 or 30 seconds as you mentioned) before processing them is a viable approach. This can be achieved by using a delay within your Pipedream workflow. You can leverage the built-in Delay functionality in Pipedream workflows to pause execution for a specified period. This approach allows you to accumulate events and then process them in batches, potentially reducing the number of update events triggered by keypresses.
Using Airtable Automation to Call a Pipedream Webhook: This is another effective strategy. By setting up an Airtable Automation that triggers on your desired conditions (e.g., when a record is updated and meets certain criteria), you can call a Pipedream webhook. This method gives you more control over when the update event is considered “complete” and ready to be sent to Pipedream. To implement this, you would create a webhook endpoint in Pipedream and then use Airtable’s “Send a webhook” action within their automation setup.
Regular Polling: Setting up a scheduled workflow in Pipedream that polls Airtable for changes at regular intervals is a straightforward way to control when and how often you check for updates. This method can be more predictable than responding to live events, especially if updates are frequent and you’re only interested in changes over a certain threshold of time. You can use Pipedream’s Scheduler as the trigger for such a workflow.
Given these options, the choice depends on your specific needs and preferences:
If you want to minimize the number of calls and potentially group multiple changes together, buffering events might be the best approach.
If you need more control over the trigger conditions and want to ensure that events are only sent when certain criteria are met, using Airtable automation could be preferable.
If you’re looking for a simple, time-based solution and are okay with potentially missing real-time updates, regular polling could be the way to go.
For implementing any of these solutions, you might not find a direct example in the community, but
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