> For the complete documentation index, see [llms.txt](https://docs.zbrain.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zbrain.ai/zbrain-documentation/zbrain-builder/flows/flow-components/calendly.md).

# Calendly

Streamline your scheduling by integrating Calendly with ZBrain Flow to automate event management and booking workflows.

The Calendly piece in ZBrain Flow enables seamless scheduling automation by integrating with your Calendly account. This component allows you to send custom API requests to Calendly, enabling operations such as retrieving events, scheduling meetings, and managing availability. With this integration, you can automate scheduling tasks directly within your workflows.

### **How to Use Calendly in ZBrain Flow** <a href="#how-to-use-calendly-in-zbrain-flow" id="how-to-use-calendly-in-zbrain-flow"></a>

**Step 1: Select Calendly as Your Connection**

Click on the '+' button in the Flow and search for Calendly. Select Calendly.

**Step 2: Create a Connection**

If you haven’t set up a connection yet, follow these steps:

1. Click on ‘Create connection' in the 'Personal Token’ dropdown.
2. A small window will appear where you need to fill in the following details:
   1. ‘Connection Name’ – Enter a unique name for the connection.
   2. ‘Personal Token’ – Go to [Calendly API Webhooks](https://calendly.com/integrations/api_webhooks), click on "Create New Token," copy the generated token, and paste it into this field.
3. Click ‘Save’ to complete the connection setup.

**Step 3: Configure API Call Details**

* In the ‘URL’ field, enter `https://api.calendly.com` followed by the endpoint you want to use. Example: `/models`.
* Choose the request method in the ‘Method’ field (GET, POST, etc.).
* Click ‘Add Item’ in the ‘Headers’ field to include additional headers. (Authorization headers are injected automatically from your connection).
* Add query parameters in the ‘Query Parameters’ field if required.
* Define the request body in the ‘Body’ field if needed.
* Enable ‘No Error on Failure’ if you want the workflow to continue even if the request fails.
* Set the ‘Timeout (in seconds)’ field to specify the request timeout duration.


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