Kaggle and Trengo integration
How to connect Kaggle and Trengo
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 Kaggle and Trengo integration
Create custom Kaggle and Trengo 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 Kaggle
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!
Supported API Endpoints for Trengo
List all tickets
Retrieve a list of all tickets.
Create a ticket
Create a new ticket in the system.
Assign a ticket
Assign an existing ticket to a user.
Close a ticket
Close an existing ticket.
Reopen a ticket
Reopen a previously closed ticket.
List all messages
Retrieve a list of all messages associated with tickets.
Delete a ticket
Remove a specific ticket.
List all tickets
Retrieve a list of all tickets.
Assign ticket
Assign a ticket to a user.
Close ticket
Close an existing ticket.
Reopen ticket
Reopen a previously closed ticket.
Delete ticket
Delete a specific ticket.
List contacts
Retrieve a list of all contacts.
Create a contact
Create a new contact in the system.
Delete a contact
Remove a specific contact.
List contacts
Retrieve a list of all contacts.
Create a profile
Create a new profile in the system.
List profiles
Retrieve a list of all profiles.
List profiles
Retrieve a list of all profiles.
Import text message
Import a text message into the system.
List all voip calls
Retrieve a list of all VoIP calls made.
Get a voip call
This endpoint retrieves details of a specific voip call.
List all help centers
Retrieve a list of all help centers available.
Create a help center
This endpoint creates a new help center.
List all quick replies
Retrieve a list of all quick replies created.
Create a quick reply
This endpoint creates a new quick reply.
List all labels
Retrieve a list of all labels.
Create a label
Create a new label.
Delete a label
Remove a specific label.
List all users
Retrieve a list of all users.
Create a user
This endpoint creates a new user.
Create a category
This endpoint creates a new category.
Get category
Retrieve a specific category.
Update category
Update an existing category.
Create an article
This endpoint creates a new article.
List articles
Retrieve a list of all articles.
Get article
Retrieve a specific article.
Update article
Update an existing article.
Create a custom field
This endpoint creates a new custom field.
Create a webhook
This endpoint creates a new webhook.
List all webhooks
Retrieve a list of all webhooks set up in the system.
Create a ticket result
This endpoint creates a new ticket result.
Create a contact group
This endpoint creates a new contact group.
Create a team
This endpoint creates a new team.
Send a message
This endpoint sends a message.
List all help centers
Retrieve a list of all help centers.
Get help center
Retrieve a specific help center.
Update help center
Update an existing help center.
List blocks
Retrieve a list of all blocks.
Get block
Retrieve a specific block.
Create block
Create a new block.
Create section
Create a new section.
Update section
Update an existing section.
To set up Trengo 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 Trengo 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 Trengo official documentation to get a full list of all API endpoints and verify the scraped ones!
Kaggle and Trengo integration details
FAQ
Can Kaggle connect with Trengo?
Can I use Kaggle’s API with n8n?
Can I use Trengo’s API with n8n?
Is n8n secure for integrating Kaggle and Trengo?
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