Kaggle and NMKR integration
How to connect Kaggle and NMKR
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 NMKR integration
Create custom Kaggle and NMKR 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 NMKR
Create project
Creates a new project in the NMKR Studio.
Edit project
Edits an existing project in the NMKR Studio.
Create project
Create a new project.
Upload file and metadata
Upload a file along with its metadata to the project.
Create project
Create a project via NMKR Studio API
Upload file and metadata
Upload a file to your project along with optional metadata.
Delete token
Allows for the deletion of a specified token.
Burn token
Permits the burning of a specified token.
Update token
Allows for updating the token after it is minted or revealed.
Upload token
Uploads a single token to NMKR Studio.
Bulk Upload
Bulks uploads files and metadata for tokens.
Bulk upload files and metadata
Upload files and associated metadata in bulk.
Bulk upload via SFTP
Upload files and metadata via SFTP transfer.
Edit token
Edit existing token details.
Add token-specific metadata
Add specific metadata to a token.
Check metadata
Perform a check on the metadata of a token.
Duplicate token
Create a duplicate of an existing token.
Create new Prices
Enables the creation of new prices for sales.
Free Drops
Facilitates free drops in the sales process.
Custom Token payment
Allows for setting up custom token payment options.
Discounts
Enables the creation and management of discounts.
Set up Sales
Establish sales configuration for tokens.
Manage token sales conditions
Set conditions and whitelisting for token sales.
Set up NMKR Pay
Configure NMKR Pay for handling transactions.
Create Testnet Account
Creates a new account on the testnet.
Testnet Wallet & tADA
Manages the testnet wallet and tADA tokens.
Minting on Demand
Allows for minting tokens on demand.
Manual Minting
Permits manual minting of tokens.
Manual minting
Perform manual minting of NFTs.
Mint random token
Mint a token randomly selected out of your project to a specific wallet address.
Mint specific token
Mint and send a specific token of a project to a wallet address.
Airdrop with random distribution
Facilitates airdrops with a random distribution method.
Airdrop with specific distribution
Enables airdrops with a specified distribution method.
Create unique NMKR Pay Link for random token sales
Generate a unique pay link for random token sales.
Create NMKR Pay Link for specific token sales
Generate a pay link for specific token sales.
Get payment address for single NFT sales with native tokens
Retrieve payment address for single NFT sales using native tokens.
Create NMKR Pay Link for a multi-specific tokens sale
Generate a pay link for a multi-specific tokens sale.
Secondary sales via NMKR Pay
Handle secondary sales transactions through NMKR Pay.
Create NFT
Uploads an NFT along with its metadata.
To set up NMKR 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 NMKR 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 NMKR official documentation to get a full list of all API endpoints and verify the scraped ones!
Kaggle and NMKR integration details
FAQ
Can Kaggle connect with NMKR?
Can I use Kaggle’s API with n8n?
Can I use NMKR’s API with n8n?
Is n8n secure for integrating Kaggle and NMKR?
How to get started with Kaggle and NMKR integration in n8n.io?
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