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 SimpleLocalize 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.
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!
Add translation
Add translations to the project.
Read translations
Fetch translations from the project.
Update translation
Update existing translations in the project.
Delete translation
Delete specific translation keys from the project.
Import translations
Import translations from a file.
Export translations
Export translations to a file.
Auto-translate
Automatically translate your project's texts.
Update translation
This endpoint allows you to update translations in your project.
Publish translations
This endpoint publishes translations to make them available publicly.
Get all translations
Fetches all translations for the specified project and environment.
Get translations by language key
Fetches translations for a specific language key.
Get translations by language key and namespace
Fetches translations filtered by language key and namespace.
Get translations by language key, namespace and customerId
Fetches translations filtered by language key, namespace, and customer ID.
Get customer-specific translations
Fetches translations that are customer-specific for a given language key.
Search translations
Searches for translations based on provided query parameters.
Create translation key
This endpoint allows you to add new translation keys to your project.
Delete translation key
This endpoint allows you to delete a translation key with its translations.
Customer API
This endpoint provides access to customer-specific APIs.
Language API
This endpoint provides access to language-specific APIs.
Get languages
Retrieves a list of available languages for the project and environment.
Translation project management
This endpoint allows you to manage translation projects.
Get customers
Retrieves a list of customers associated with the project and environment.
To set up SimpleLocalize 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 SimpleLocalize 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 SimpleLocalize official documentation to get a full list of all API endpoints and verify the scraped ones!
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