Databricks and TextMagic integration
How to connect Databricks and TextMagic
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 Databricks and TextMagic integration
Create custom Databricks and TextMagic 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.
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!
Supported API Endpoints for TextMagic
Send message
Send an SMS using the Textmagic API.
Receive messages
Receive SMS through the API.
Schedule message
Schedule an SMS to be sent at a later time.
Send 2FA message
Send a two-factor authentication message via SMS.
Manage chats
Access and manage SMS chats through the API.
Manage sessions
Manage SMS sessions through the API.
Manage templates
Access and manage SMS templates via the API.
Receive message
This endpoint allows you to receive SMS messages.
List contacts
Retrieve a list of contacts in your account.
Manage custom fields
Access and manage custom fields for contacts.
Manage lists
This endpoint allows you to manage contact lists.
Get account details
Retrieve details about your account.
Manage sub-accounts
This endpoint allows you to manage sub-accounts.
Get statistics
Retrieve statistics related to your account usage.
Manage invoices
Access and manage your account invoices.
Get sender settings overview
Access overview of sender settings.
List sender numbers
Retrieve a list of sender numbers associated with your account.
List sender IDs
Retrieve a list of sender IDs associated with your account.
Fetch response codes
This endpoint provides a list of response codes used by the API.
List distribution lists
Retrieve all distribution lists from the account.
To set up TextMagic 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 TextMagic 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 TextMagic official documentation to get a full list of all API endpoints and verify the scraped ones!
Databricks and TextMagic integration details
FAQ
Can Databricks connect with TextMagic?
Can I use Databricks’s API with n8n?
Can I use TextMagic’s API with n8n?
Is n8n secure for integrating Databricks and TextMagic?
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