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.
Create custom Databricks and Pinata 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.
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.
These 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!
Create file
Uploads a file to IPFS using the pinFileToIPFS method.
Pin file to IPFS
Pins a file to IPFS.
Pin JSON
Pins JSON data to IPFS.
List files
Retrieves a list of files pinned to IPFS.
Update file metadata
Updates metadata for a pinned file.
Delete file (unpin)
Removes a file from IPFS by unpinning it.
Retrieve file
Retrieve a file from IPFS using its CID.
Create group
Creates a new group for managing pins.
Get a group
Retrieves details for a specific group.
List groups
Retrieves a list of all groups.
Update group
Updates details for a specific group.
Add CIDs to group
Adds CIDs to an existing group.
Remove CIDs from a group
Removes CIDs from a specified group.
Delete group
Deletes a specified group.
Pin by CID
Pins a file using its CID.
List pin by CID jobs
Retrieves a list of jobs related to pinning by CID.
Add signature to CID
Attaches a signature to a specified CID.
To set up Pinata 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 Pinata to query the data you need using the API endpoint URLs you provide.
These 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 Pinata official documentation to get a full list of all API endpoints and verify the scraped ones!
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