I am developing a Zapier integration for an online form creation tool. Each user’s unique form generates lengthy field names automatically. We have a trigger named ‘Incoming form entries’ that retrieves data from our server and returns it in this format:
[
{
"formId": "6209aee326baa600224d822c",
"userEmail": "[email protected]",
"contactNumber": "12345"
},
{
"formId": "61fd629f19408200225e1893",
"userEmail": "[email protected]",
"contactNumber": "54321"
},
]
Unfortunately, this results in users encountering these lengthy field names in the Zapier interface. How can I make Zapier show more friendly names for the users while retaining the unique field IDs for processing? I’m considering a structure like this:
[
{
"formId": "62179ec5ab9daa0022df7d1d",
"field_1": {
"friendlyLabel": "What is your favorite color?",
"response": "Blue"
}
}
]
Any guidance on implementing ‘friendlyLabel’ and ‘response’ in Zapier would be appreciated!
you can use Zapier’s ‘performFunction’ to transform the data before it’s displayed. Add a step in the trigger to map field names to friendly labels. Also, consider creating a custom code step with JavaScript to format the data. This way, it feels more intuitive for users viewing it.
From my experience working with Zapier, you might want to look into utilizing the “Output Fields” section in the trigger creation process. Essentially, when setting your trigger, you can specify which fields are exposed to the Zap user’s interface by defining them in a custom way. This means you can assign a “friendly” name to each field based on the user’s needs while keeping the original field ID intact for processing behind the scenes. This approach allows the user to interact with clear, understandable fields without altering the backend data flow. Double-check your Zap’s sample data to ensure it aligns with this setup since consistency in field IDs is key for mapping labels correctly.
One approach you might find useful is leveraging Zapier’s ability to use input designer. You can design your trigger output fields by specifying labels for the fields, which then allows you to map your form’s original field names to user-friendly labels. This method helps keep the data clean while presenting the user with easy-to-understand field names in the Zapier interface without compromising the data’s integrity. Make sure to test thoroughly to ensure the labels are applied consistently across varied datasets.