Connect Wodify and dplyr to Build Intelligent Automations

Choose a Trigger

Wodify

When this happens...

Choose an Action

dplyr

Automatically do this!

Enable Integrations or automations with these events of Wodify and dplyr

Enable Integrations or automations with these events of Wodify and dplyr

Actions

List Clients

List Clients

Get a list of clients and their basic profile details.

List Memberships

List Memberships

Retrieve memberships in pages; supports sorting and setting page number and page size.

Place Membership On Hold

Place Membership On Hold

Put a membership on hold for specific start and end dates.

Delete Membership

Delete Membership

Delete a client's membership by its membership ID.

Create Membership

Create Membership

Create a client membership from a template with a payment plan; optionally add attendance limits, expiration, discounts, locations, or programs.

Update Membership

Update Membership

Change a client's membership plan, dates, or active status.

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Frequently Asked Questions

How do I start an integration between Wodify and dplyr?

To start, connect both your Wodify and dplyr accounts to viaSocket. Once connected, you can set up a workflow where an event in Wodify triggers actions in dplyr (or vice versa).

Can we customize how data from Wodify is recorded in dplyr?

Absolutely. You can customize how Wodify data is recorded in dplyr. This includes choosing which data fields go into which fields of dplyr, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Wodify and dplyr?

The data sync between Wodify and dplyr typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Wodify to dplyr?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Wodify and dplyr?

Yes, you can set conditional logic to control the flow of data between Wodify and dplyr. 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.