Can Freshservice connect with Kaggle?

Yes, Freshservice can connect with Kaggle using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Freshservice and Kaggle. Configure nodes for Freshservice and Kaggle in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Freshservice’s API with n8n?

Yes, with n8n, you can programmatically interact with Freshservice’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Kaggle’s API with n8n?

Yes, with n8n, you can programmatically interact with Kaggle’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Freshservice and Kaggle?

Yes, it is safe to use n8n to integrate Freshservice and Kaggle. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

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

To start integrating Freshservice and Kaggle in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

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Freshservice

Kaggle

Freshservice and Kaggle integration

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

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How to connect Freshservice 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.

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

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

You can find the Freshservice 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 Freshservice one by one: input data on the left, parameters in the middle, and output data on the right.

Freshservice and Kaggle integration: Add and configure Freshservice and Kaggle nodes

Step 3: Connect Freshservice and Kaggle

A connection establishes a link between Freshservice 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.

Freshservice and Kaggle integration: Connect Freshservice and Kaggle

Step 4: Customize and extend your Freshservice 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 Freshservice and Kaggle with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Freshservice and Kaggle integration: Customize and extend your Freshservice and Kaggle integration

Step 5: Test and activate your Freshservice and Kaggle workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Freshservice 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.

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

Build your own Freshservice and Kaggle integration

Create custom Freshservice 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.

Freshservice supported actions

Create

Create an agent

Delete

Delete an agent

Get

Retrieve an agent

Get Many

Retrieve many agents

Update

Update an agent

Create

Create an agent group

Delete

Delete an agent group

Get

Retrieve an agent group

Get Many

Retrieve many agent groups

Update

Update an agent group

Get

Retrieve an agent role

Get Many

Retrieve many agent roles

Create

Create an announcement

Delete

Delete an announcement

Get

Retrieve an announcement

Get Many

Retrieve many announcements

Update

Update an announcement

Create

Create an asset type

Delete

Delete an asset type

Get

Retrieve an asset type

Get Many

Retrieve many asset types

Update

Update an asset type

Create

Create a change

Delete

Delete a change

Get

Retrieve a change

Get Many

Retrieve many changes

Update

Update a change

Create

Create a department

Delete

Delete a department

Get

Retrieve a department

Get Many

Retrieve many departments

Update

Update a department

Create

Create a location

Delete

Delete a location

Get

Retrieve a location

Get Many

Retrieve many locations

Update

Update a location

Create

Create a problem

Delete

Delete a problem

Get

Retrieve a problem

Get Many

Retrieve many problems

Update

Update a problem

Create

Create a product

Delete

Delete a product

Get

Retrieve a product

Get Many

Retrieve many products

Update

Update a product

Create

Create a release

Delete

Delete a release

Get

Retrieve a release

Get Many

Retrieve many releases

Update

Update a release

Create

Create a requester

Delete

Delete a requester

Get

Retrieve a requester

Get Many

Retrieve many requesters

Update

Update a requester

Create

Create a requester group

Delete

Delete a requester group

Get

Retrieve a requester group

Get Many

Retrieve many requester groups

Update

Update a requester group

Create

Create a software application

Delete

Delete a software application

Get

Retrieve a software application

Get Many

Retrieve many software applications

Update

Update a software application

Create

Create a ticket

Delete

Delete a ticket

Get

Retrieve a ticket

Get Many

Retrieve many tickets

Update

Update a ticket

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

GET

kaggle competitions 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!

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

Create model version

Create a new version for a model instance.

POST

/kaggle/models/instances/versions/create

These API endpoints were generated using n8n

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

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

View workflow

Or explore 800+ other templates here

Freshservice and Kaggle integration details

Freshservice is a cloud-based IT Help Desk and service management tool that helps businesses in their IT operations. A knowledge-base, self-service portal, and ticketing system are features included in the solution.

Freshservice node docs + examples

Freshservice credential docs

See Freshservice integrations

Related categories

Productivity

Kaggle is an online platform for data science competitions and collaboration. It provides datasets, challenges, and a community of data scientists to explore, analyze, and solve real-world problems through machine learning and predictive modeling techniques.

Using generic authentication

See Kaggle integrations

Related categories

Analytics

Other integrations with Freshservice