My company uses Acuity Scheduling to schedule appointments. Right now, the Acuity Appointment Type field has two sets of data in it, separated by a colon. For example, “Room 1: 3 Customers.” I would like to use Zapier to update an AirTable database that has separate fields for “Room” and “# of Customers.” Ideally, Zapier would identify the Acuity reservation being made, “Room 1: 3 Customers” and put everything before the colon into the AirTable “Room” field and only the numeral after the colon into the AirTable “# of Customers” field. Is there a way to have Zapier process the reservation as a colon-separated (or -delimited) field?
Best answer
Separating Colon-Delimited Input
- Beginner
- 6 replies
Best answer by Danvers
Hi
You can use the Formatter by Zapier app to split a text field using any separator you’d like! The action can then either give you one section of the information(eg the bit before the semi-colon) to use in the later steps, or all of it.
To do that, add a step in the Zap before your Airtable step and choose the Formatter by Zapier app, and choose ‘Text’ as the action event. Then choose the ‘Split Text’ transform:
I hope that helps, please let me know if you have any questions!
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+12- Zapier Staff
- 3731 replies
- Answer
Hi
You can use the Formatter by Zapier app to split a text field using any separator you’d like! The action can then either give you one section of the information(eg the bit before the semi-colon) to use in the later steps, or all of it.
To do that, add a step in the Zap before your Airtable step and choose the Formatter by Zapier app, and choose ‘Text’ as the action event. Then choose the ‘Split Text’ transform:
I hope that helps, please let me know if you have any questions!
- Beginner
- 6 replies
Oh, fantastic, thank you! I found an option to do this in REGEX, but that wasn’t going very well. This was much easier. I split it once on the colon, then added a second Split Text step to split on the space, leaving me only the numeral. That’s exactly what I wanted and way easier than REGEX, thank you very much!
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