Clockify and Databricks integration
Save yourself the work of writing custom integrations for Clockify and Databricks and use n8n instead. Build adaptable and scalable Productivity, workflows that work with your technology stack. All within a building experience you will love.
How to connect Clockify and Databricks
Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Build your own Clockify and Databricks integration
Create custom Clockify and Databricks workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Clockify supported actions
Create
Create a client
Delete
Delete a client
Get
Get a client
Get Many
Get many clients
Update
Update a client
Create
Create a project
Delete
Delete a project
Get
Get a project
Get Many
Get many projects
Update
Update a project
Create
Create a tag
Delete
Delete a tag
Get Many
Get many tags
Update
Update a tag
Create
Create a task
Delete
Delete a task
Get
Get a task
Get Many
Get many tasks
Update
Update a task
Create
Create a time entry
Delete
Delete a time entry
Get
Get time entrie
Update
Update a time entry
Get Many
Get many users
Get Many
Get many workspaces
Supported API Endpoints for Databricks
List clusters
Retrieve a list of all the clusters in your Databricks workspace.
Create cluster
Creates a cluster with the specified Databricks Runtime version and cluster node type.
Delete cluster
Permanently deletes a cluster from your Databricks workspace.
Delete cluster
Permanently deletes the cluster with the specified cluster ID from the workspace.
Create cluster
Creates a new cluster in the Databricks workspace.
Create job
Creates a Databricks job that runs the specified notebook on the specified cluster.
Create directory
Creates an empty folder in a volume.
Upload file
Uploads a file to a volume.
List directory contents
Lists the contents of a volume.
Delete file
Deletes a file from a volume.
Delete directory
Deletes a folder from a volume.
List groups
Lists the display names for all of the available groups within the Databricks account.
To set up Databricks integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Databricks to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Databricks official documentation to get a full list of all API endpoints and verify the scraped ones!
Clockify and Databricks integration details
Other integrations with Clockify
FAQ
Can Clockify connect with Databricks?
Can I use Clockify’s API with n8n?
Can I use Databricks’s API with n8n?
Is n8n secure for integrating Clockify and Databricks?
How to get started with Clockify and Databricks integration in n8n.io?
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