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 Kaggle and Landbot 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 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.
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 Kaggle official documentation to get a full list of all API endpoints and verify the scraped ones!
Get channel data
Returns channel data of a specified channel ID.
List channels
Returns your channels data.
Create hook
Creates a message hook for the specified channel
Delete hook
Deletes a specific message hook from a channel
List WhatsApp templates
Returns your WhatsApp templates data.
List whatsapp templates
Returns whatsapp templates to send with more than one channel.
Opt out customer
Delete opt-ins of a specific customer.
Send template
Sends template message to a specific customer.
Delete customer
Deletes a specified customer by ID.
Get customer data
Returns data of a specified customer ID.
List customers
Returns a list of all customers.
Send WhatsApp template
Sends a WhatsApp template to a specified customer.
Send image
Sends an image to a specified customer.
Send location
Sends a location to a specified customer.
Send text
Sends a text message to a specified customer.
Archive customer
Archives a specified customer by ID.
Unarchive customer
Unarchives a specified customer by ID.
Archive customer
Archives a specific customer.
Assign bot to customer
Assigns a specific customer to a specific bot.
Assign customer to agent
Assigns :customer_id to :agent_id
Assign customer to self
Assigns :customer_id to you
Block customer
Blocks :customer_id
Delete customer
Delete customer :customer_id
Send image
Sends an image message to a specific customer by customer_id.
Send location
Sends a location message to a specific customer by customer_id.
Send text message
Sends a text message to a specified customer.
Unarchive customer
Unarchives a specified customer.
Unassign customer
Unassigns a specified customer.
Unblock customer
Unblocks a specified customer.
Delete field
Deletes field :field_name from customer with id :customer_id
Create customer
Create a new customer entry.
Read customer
Read specific customer details by token.
Update customer
Update details for an existing customer by token.
Read customer
Read customer information based on customer token.
Update customer
Update customer details based on customer token.
Create customer field
Creates a new customer field.
Delete customer field
Deletes a specified customer field.
Create message hook
Creates a new message hook for a specific channel.
Change field value
Changes the value of a specified field for a customer.
Get data
Get data of a specific agent by ID.
Send message
Send a message to a customer with a given token.
Send messages
Send messages to the specified webhook URL.
To set up Landbot 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 Landbot 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 Landbot official documentation to get a full list of all API endpoints and verify the scraped ones!
Can Kaggle connect with Landbot?
Can I use Kaggle’s API with n8n?
Can I use Landbot’s API with n8n?
Is n8n secure for integrating Kaggle and Landbot?
How to get started with Kaggle and Landbot integration in n8n.io?
Looking to integrate Kaggle and Landbot in your company?
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