Connect Pipefy and OpnForm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pipefy
Choose an Action
Automatically do this!
- Request a new Action for OpnForm
Ready to use Pipefy and OpnForm automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Submission Created
Runs when new submission is created
Do thisActions
Action is the task that follows automatically within your Pipefy integrations.
Create Record
Creates a new table record.
Create Card
Creates a new card.
Delete Card
Delete a card using card id.
Update Card
Updates a card Title.
Find Card
Finds a card by Title.
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Frequently Asked Questions
To start, connect both your Pipefy and OpnForm accounts to viaSocket. Once connected, you can set up a workflow where an event in Pipefy triggers actions in OpnForm (or vice versa).
Absolutely. You can customize how Pipefy data is recorded in OpnForm. This includes choosing which data fields go into which fields of OpnForm, setting up custom formats, and filtering out unwanted information.
The data sync between Pipefy and OpnForm typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Pipefy and OpnForm. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Pipefy
The easy button for processes and workflows Easily organize and run all your processes in one place, leaving the inefficient patchwork of apps, forms, spreadsheets and e-mail threads forever in the past
Learn MoreAbout OpnForm
Opnform is a versatile platform designed to streamline the creation and management of online forms and surveys. It offers intuitive tools for building custom forms, collecting responses, and analyzing data efficiently.
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