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 KoBoToolbox and Spydra 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.
Create
Create a file
Delete
Delete file
Get
Get a file content
Get Many
Get many files
Get
Get a form
Get Many
Get many forms
Redeploy
Redeploy Current Form Version
Get
Get a single hook definition
Get Many
List many hooks on a form
Logs
Get hook logs
Retry All
Retry all failed attempts for a given hook
Retry One
Retry a specific hook
Delete
Delete a single submission
Get
Get a single submission
Get Many
Get many submissions
Get Validation Status
Get the validation status for the submission
Update Validation Status
Set the validation status of the submission
Create organization
Creates a new organization.
Edit organization details
Edits the details of an existing organization.
Delete organization
Deletes an existing organization.
Create a network
Creates a new network.
Delete network
Deletes an existing network.
Deploy app
Deploys a new application.
Create channel
Creates a new channel.
Remove channel
Removes an existing channel.
Create node
Creates a new node.
Delete node
Deletes an existing node.
Create oracle
Creates a new oracle.
To set up Spydra 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 Spydra 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 Spydra official documentation to get a full list of all API endpoints and verify the scraped ones!
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