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 Radar 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.
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!
Track location
Tracks a location update and returns the user and the events generated.
Get context
Gets context for a location based on coordinates.
Forward geocode address
Geocodes an address, converting address to coordinates.
Reverse geocode coordinates
Reverse geocodes a location, converting coordinates to address.
Get geocode by IP address
Geocodes the requester's IP, converting IP address to city, state, and country.
Autocomplete addresses
Autocompletes partial addresses and place names, sorted by relevance and proximity.
Search users
Searches for users near a location, sorted by distance.
Search geofences
Searches for geofences near a location, sorted by distance.
Search places
Searches for places near a location, sorted by distance.
Validate address
Validates the input address.
Calculate distance
Calculates the travel distance and duration between an origin and a destination.
Calculate distance matrix
Calculates the travel distances and durations between multiple origins and destinations for up to 625 routes.
Match route
Snaps points collected along a route to roads that were most likely traveled on.
Get directions
Calculates the most efficient route between two or more locations to visit in order.
Optimize route
Calculates the optimal ordering and route to visit a list of locations.
Create user
This endpoint allows the creation of a new user in the Radar system.
List users
This endpoint retrieves a list of users tracked in your project.
Update user
This endpoint updates the information of an existing user.
Delete user
This endpoint removes a user from the Radar system.
List users
Lists users sorted by updatedAt.
Get user
Gets a user referenced by Radar _id, userId, or deviceId.
Delete user
Deletes a user which can be referenced by Radar _id, userId, or deviceId.
To set up Radar 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 Radar 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 Radar official documentation to get a full list of all API endpoints and verify the scraped ones!
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