Kaggle and Pivotal Tracker integration
Save yourself the work of writing custom integrations for Kaggle and Pivotal Tracker and use n8n instead. Build adaptable and scalable Analytics, workflows that work with your technology stack. All within a building experience you will love.
How to connect Kaggle and Pivotal Tracker
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 Pivotal Tracker integration
Create custom Kaggle and Pivotal Tracker 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.
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!
Supported API Endpoints for Pivotal Tracker
List accounts
Retrieve a list of accounts associated with the user.
List activities
Fetch the activity history for the specified project.
Create attachment
Upload an attachment to a specified story or comment.
Create comment
Add a comment to a specified story.
List epics
Retrieve the list of epics associated with a project.
Create story
Create a new story in a project.
List labels
Retrieve all labels associated with a project.
List iterations
Fetch the list of iterations for a project.
List workspaces
Retrieve the workspaces associated with the user.
Create release
Create a new release in a project.
Get current user
Retrieve the current user's account information.
Get profile
Returns information from the user's profile plus the list of projects to which the user has access.
Get me
Retrieve the authenticated user's information.
List blockers
Retrieve a list of blockers in the project.
Update project
Update the details of a specified project.
List notifications
Retrieve notifications associated with the user's account.
List notifications
Returns a list of the notifications for the authenticated person, sorted by creation time.
Mark notifications as read
Marks all notifications read before a notification id.
Mark notifications read
Marks a list of notifications read.
List notifications since timestamp
Returns list of the notifications for the specified person whose updated_at values are less than the timestamp.
Mark notification as read
Access the notification specified by the notification_id value in the URL.
Create story task
Add a task to a specified story.
List people
Access a list of all the people you know.
Create person
Add a new person to your known people list.
Create person
This endpoint allows you to create new known people in the project.
Get all active projects
Access a user's projects.
List projects
Retrieve a list of projects for a specific account.
Create project
Creates a new project with the specified attributes.
Fetch project
Fetches the content of the specified project.
Delete project
Deletes a specific project by its ID.
List iterations
Returns a set of iterations from the project.
To set up Pivotal Tracker 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 Pivotal Tracker 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 Pivotal Tracker official documentation to get a full list of all API endpoints and verify the scraped ones!
Kaggle and Pivotal Tracker integration details
FAQ
Can Kaggle connect with Pivotal Tracker?
Can I use Kaggle’s API with n8n?
Can I use Pivotal Tracker’s API with n8n?
Is n8n secure for integrating Kaggle and Pivotal Tracker?
How to get started with Kaggle and Pivotal Tracker integration in n8n.io?
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