elmah.io and Kaggle integration
How to connect elmah.io and Kaggle
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 elmah.io and Kaggle integration
Create custom elmah.io 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.
Supported API Endpoints for elmah.io
List path
Retrieves a list of paths for the application.
Update path
Updates an existing path entry in the application.
List path
Retrieve details of all paths.
Update path
Update an existing path entry.
Create integration
Create a new integration from various platforms.
Set up Uptime Monitoring
Establish a monitoring system to track uptime.
Set up Heartbeats
Configure a system to log application heartbeats.
Set up Deployment Tracking
Initiate a tracking process for deployments.
Clear logs
Remove logs from the CLI interface.
Create message
Creates a new message with a specified title.
Get message
Retrieves the details of a specific message using its ID.
Search messages
Searches for messages based on log ID.
Delete messages
Deletes multiple messages based on criteria.
Hide message
Hides a specific message so it is no longer visible.
Fix message
Fixes a specific issue with a message.
List messages
Queries the API for a list of the 15 most recent messages.
Search messages
Searches messages by query terms.
Fetch next messages
Fetches the next list of messages using the searchAfter property.
Delete message
Deletes a specific message by its unique URL.
Hide message
Hides a message by using the _hide endpoint.
Fix message
Marks a message as fixed by using the _fix endpoint.
To set up elmah.io 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 elmah.io 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 elmah.io official documentation to get a full list of all API endpoints and verify the scraped ones!
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!
elmah.io and Kaggle integration details
FAQ
Can elmah.io connect with Kaggle?
Can I use elmah.io’s API with n8n?
Can I use Kaggle’s API with n8n?
Is n8n secure for integrating elmah.io and Kaggle?
How to get started with elmah.io and Kaggle integration in n8n.io?
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