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integrationKaggle node
HTTP Request

GitHub and Kaggle integration

Save yourself the work of writing custom integrations for GitHub and Kaggle and use n8n instead. Build adaptable and scalable Development, and Analytics workflows that work with your technology stack. All within a building experience you will love.

How to connect GitHub and Kaggle

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: 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.

GitHub and Kaggle integration: Create a new workflow and add the first step

Step 2: Add and configure GitHub and Kaggle nodes (using the HTTP Request node)

You can find the GitHub node in the nodes panel and drag it onto your workflow canvas. To add the Kaggle app to the workflow select the HTTP Request node and use the generic authentication method to make custom API calls to Kaggle. Configure Kaggle and GitHub one by one: input data on the left, parameters in the middle, and output data on the right.

GitHub and Kaggle integration: Add and configure GitHub and Kaggle nodes

Step 3: Connect GitHub and Kaggle

A connection establishes a link between GitHub and Kaggle (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

GitHub and Kaggle integration: Connect GitHub and Kaggle

Step 4: Customize and extend your GitHub and Kaggle integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect GitHub and Kaggle with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

GitHub and Kaggle integration: Customize and extend your GitHub and Kaggle integration

Step 5: Test and activate your GitHub and Kaggle workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from GitHub to Kaggle or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

GitHub and Kaggle integration: Test and activate your GitHub and Kaggle workflow

Build your own GitHub and Kaggle integration

Create custom GitHub 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.

GitHub supported actions

Create
Create a new file in repository
Delete
Delete a file in repository
Edit
Edit a file in repository
Get
Get the data of a single file
List
List contents of a folder
Create
Create a new issue
Create Comment
Create a new comment on an issue
Edit
Edit an issue
Get
Get the data of a single issue
Lock
Lock an issue
Get Repositories
Returns all repositories of an organization
Create
Creates a new release
Delete
Delete a release
Get
Get a release
Get Many
Get many repository releases
Update
Update a release
Get
Get the data of a single repository
Get Issues
Returns issues of a repository
Get License
Returns the contents of the repository's license file, if one is detected
Get Profile
Get the community profile of a repository with metrics, health score, description, license, etc
Get Pull Requests
Returns pull requests of a repository
List Popular Paths
Get the top 10 popular content paths over the last 14 days
List Referrers
Get the top 10 referrering domains over the last 14 days
Create
Creates a new review
Get
Get a review for a pull request
Get Many
Get many reviews for a pull request
Update
Update a review
Get Repositories
Returns the repositories of a user
Invite
Invites a user to an organization
Disable
Disable a workflow
Dispatch
Dispatch a workflow event
Enable
Enable a workflow
Get
Get a workflow
Get Usage
Get the usage of a workflow
List
List workflows

Supported API Endpoints for Kaggle

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.

List competitions
List available competitions
GET
kaggle competitions list
List competition files
List competition files
GET
kaggle competitions files
Download competition files
Download competition files
POST
kaggle competitions download
Submit to a competition
Make a new competition submission
POST
kaggle competitions submit
List competition submissions
Show your competition submissions
GET
kaggle competitions submissions

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!

List datasets
List available datasets.
GET
kaggle datasets list
List files
List dataset files.
GET
kaggle datasets files
Download dataset files
Download dataset files.
GET
kaggle datasets download
Create dataset
Create a new dataset after initializing metadata.
POST
/kaggle/datasets/create
Create dataset version
Create a new version of an existing dataset with version notes.
POST
/kaggle/datasets/version
Download metadata
Download metadata for an existing dataset using its URL suffix.
GET
/kaggle/datasets/metadata
Get dataset creation status
Get the status of the dataset creation process using its URL suffix.
GET
/kaggle/datasets/status

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!

List kernels
List available kernels based on specified filters.
GET
/kaggle/kernels/list
Initialize kernel metadata
Initialize metadata for a new kernel setup.
POST
/kaggle/kernels/init
Push code to kernel
Push new code to a kernel and execute it.
POST
/kaggle/kernels/push
Pull code from kernel
Pull down the latest code from a kernel.
GET
/kaggle/kernels/pull
Get kernel output
Retrieve data output from the latest run of a kernel.
GET
/kaggle/kernels/output
Get kernel run status
Display the status of the latest kernel run.
GET
/kaggle/kernels/status

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 model
Retrieve a specific model using its URL suffix.
GET
/kaggle/models/get
List models
Get a list of models with optional sorting and filtering.
GET
/kaggle/models/list
Initialize model metadata
Create a metadata file for a new model.
POST
/kaggle/models/init
Create model
Create a new model with specified metadata.
POST
/kaggle/models/create
Delete model
Delete a model using its URL suffix.
DELETE
/kaggle/models/delete
Update model
Update a model by fetching its metadata file first.
PUT
/kaggle/models/update

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 model instance
Retrieve a model instance using its URL suffix.
GET
/kaggle/models/instances/get
Initialize model instance
Initialize a metadata file for creating a model instance.
POST
/kaggle/models/instances/init
Create model instance
Create a new model instance after initializing metadata file.
POST
/kaggle/models/instances/create
Delete model instance
Delete a model instance using its URL suffix.
DELETE
/kaggle/models/instances/delete
Update model instance
Update a model instance after fetching its metadata file.
PUT
/kaggle/models/instances/update

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!

Create model version
Create a new version for a model instance.
POST
/kaggle/models/instances/versions/create

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!

Download model instance version
Download a model instance version using its specific URL suffix.
GET
/kaggle/models/instances/versions/download
Delete model instance
Delete a model instance version using its specific URL suffix.
DELETE
/kaggle/models/instances/versions/delete

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!

View current config values
View the current configuration values set in the system.
GET
/kaggle/config/view
Set a configuration value
Set a new value for a specific configuration parameter.
POST
/kaggle/config/set
Clear a configuration value
Clear an existing configuration value by name.
DELETE
/kaggle/config/unset

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!

FAQs

  • Can GitHub connect with Kaggle?

  • Can I use GitHub’s API with n8n?

  • Can I use Kaggle’s API with n8n?

  • Is n8n secure for integrating GitHub and Kaggle?

  • How to get started with GitHub and Kaggle integration in n8n.io?

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