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 AITable.ai and Kaggle 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 records
Fetches the list of records from AITable.
Create record
Creates a new record in AITable.
Update record
Updates an existing record in AITable.
Delete record
Deletes an existing record from AITable.
Get records
Retrieve a list of records from a datasheet.
Delete record
Remove a specific record from a datasheet.
Create record
Creates a new record in the system.
Update records
Updates existing records in the system.
Delete records
Deletes records from the system.
Update records
This interface is used to update the records in the specified datasheet.
List fields
Fetches the list of fields in AITable.
Create field
Creates a new field in AITable.
Delete field
Deletes an existing field from AITable.
Get fields
This interface is used to get information about all fields in the specified datasheet that you have permission to view.
Create field
This interface is used to create new fields in the specified datasheet.
List views
Fetches the list of views in AITable.
Create datasheet
Creates a new datasheet in AITable.
Create datasheet
Create a new datasheet in the system.
List spaces
Fetches the list of spaces in AITable.
List nodes
Fetches the list of nodes in AITable.
Search nodes
Searches for nodes in AITable.
Get node details
Retrieve details of a specified node.
Create embedded links
Create links for embedding purposes in nodes.
Get embedded links
Retrieve embedded links for nodes.
Delete embedded link
Delete a specified embedded link.
Get a member
Retrieves details of a specific member.
Update a member
Updates information of a specific member.
Delete a member
Deletes a specific member from AITable.
List team members
Get a list of members in a specific team.
Get field
Retrieve details about a specific field.
Create field
Add a new field to a datasheet.
Delete field
Remove a specific field from a datasheet.
Get view
Retrieve details about a specific view.
Upload attachment
Add an attachment to a record.
Get list of spaces
Retrieve a list of all spaces available.
Get node list
Retrieve a list of nodes within a space.
Create embedded links
Add embedded links to a specific node.
Get a member
Retrieve details about a specific member.
Create a team
Add a new team to the organization.
Upload attachment
Uploads an attachment to the specified record.
Upload attachment
This interface is used to upload an attachment and bind the attachment to a datasheet.
Delete record
Deletes a specific record from a datasheet.
Delete field
This interface is used to delete a specific field from a datasheet.
Get view
This interface is used to fetch all views of the specified datasheet.
Create datasheet
This interface is used to create a datasheet with the specified fields in the specified space.
List roles
Retrieves a list of all roles.
List units under the Role
Retrieves the units associated with a specific role.
Create a role
Creates a new role in the system.
Update a role
Updates an existing role's details.
Delete a role
Removes a role from the system.
List roles
Retrieve a list of all roles in a space.
To set up AITable.ai 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 AITable.ai 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 AITable.ai official documentation to get a full list of all API endpoints and verify the scraped ones!
List competitions
List available competitions
List competition files
List competition files
Download competition files
Download competition files
Submit to a competition
Make a new competition submission
List competition submissions
Show your competition submissions
List datasets
List available datasets.
List files
List dataset files.
Download dataset files
Download dataset files.
Create dataset
Create a new dataset after initializing metadata.
Create dataset version
Create a new version of an existing dataset with version notes.
Download metadata
Download metadata for an existing dataset using its URL suffix.
Get dataset creation status
Get the status of the dataset creation process using its URL suffix.
List kernels
List available kernels based on specified filters.
Initialize kernel metadata
Initialize metadata for a new kernel setup.
Push code to kernel
Push new code to a kernel and execute it.
Pull code from kernel
Pull down the latest code from a kernel.
Get kernel output
Retrieve data output from the latest run of a kernel.
Get kernel run status
Display the status of the latest kernel run.
Get model
Retrieve a specific model using its URL suffix.
List models
Get a list of models with optional sorting and filtering.
Initialize model metadata
Create a metadata file for a new model.
Create model
Create a new model with specified metadata.
Delete model
Delete a model using its URL suffix.
Update model
Update a model by fetching its metadata file first.
Get model instance
Retrieve a model instance using its URL suffix.
Initialize model instance
Initialize a metadata file for creating a model instance.
Create model instance
Create a new model instance after initializing metadata file.
Delete model instance
Delete a model instance using its URL suffix.
Update model instance
Update a model instance after fetching its metadata file.
Create model version
Create a new version for a model instance.
Download model instance version
Download a model instance version using its specific URL suffix.
Delete model instance
Delete a model instance version using its specific URL suffix.
View current config values
View the current configuration values set in the system.
Set a configuration value
Set a new value for a specific configuration parameter.
Clear a configuration value
Clear an existing configuration value by name.
To set up Kaggle 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 Kaggle 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 Kaggle official documentation to get a full list of all API endpoints and verify the scraped ones!
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