Save yourself the work of writing custom integrations for Google Chat and Spydra and use n8n instead. Build adaptable and scalable Communication, HITL, workflows that work with your technology stack. All within a building experience you will love.
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 Google Chat 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.
Get
Get a membership
Get Many
Get many memberships in a space
Create
Create a message
Delete
Delete a message
Get
Get a message
Send and Wait for Response
Send a message and wait for response
Update
Update a message
Get
Get a space
Get Many
Get many spaces the caller is a member of
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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