Harvest and Kafka integration

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

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How to connect Harvest and Kafka

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.

Harvest and Kafka integration: Create a new workflow and add the first step

Step 2: Add and configure Harvest and Kafka nodes

You can find Harvest and Kafka in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Harvest and Kafka nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Harvest and Kafka integration: Add and configure Harvest and Kafka nodes

Step 3: Connect Harvest and Kafka

A connection establishes a link between Harvest and Kafka (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.

Harvest and Kafka integration: Connect Harvest and Kafka

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

Harvest and Kafka integration: Customize and extend your Harvest and Kafka integration

Step 5: Test and activate your Harvest and Kafka workflow

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

Harvest and Kafka integration: Test and activate your Harvest and Kafka workflow

Build your own Harvest and Kafka integration

Create custom Harvest and Kafka 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.

Harvest supported actions

Create

Create a client

Delete

Delete a client

Get

Get data of a client

Get Many

Get data of many clients

Update

Update a client

Get

Retrieves the company for the currently authenticated user

Create

Create a contact

Delete

Delete a contact

Get

Get data of a contact

Get Many

Get data of many contacts

Update

Update a contact

Create

Create an estimate

Delete

Delete an estimate

Get

Get data of an estimate

Get Many

Get data of many estimates

Update

Update an estimate

Create

Create an expense

Delete

Delete an expense

Get

Get data of an expense

Get Many

Get data of many expenses

Update

Update an expense

Create

Create an invoice

Delete

Delete an invoice

Get

Get data of an invoice

Get Many

Get data of many invoices

Update

Update an invoice

Create

Create a project

Delete

Delete a project

Get

Get data of a project

Get Many

Get data of many projects

Update

Update a project

Create

Create a task

Delete

Delete a task

Get

Get data of a task

Get Many

Get data of many tasks

Update

Update a task

Create via Duration

Create a time entry via duration

Create via Start and End Time

Create a time entry via start and end time

Delete

Delete a time entry

Delete External Reference

Delete a time entry’s external reference

Get

Get data of a time entry

Get Many

Get data of many time entries

Restart

Restart a time entry

Stop

Stop a time entry

Update

Update a time entry

Create

Create a user

Delete

Delete a user

Get

Get data of a user

Get Many

Get data of many users

Get data of authenticated user

Update

Update a user

Harvest and Kafka integration details

Harvest is a time-tracking system that helps you track time across your projects, invoicing, reports, etc. It is easy to use, an empowers you with relevant, intelligent insights and analytics.

Harvest node docs + examples

Harvest credential docs

See Harvest integrations

Related categories

Productivity

Kafka is an open-source platform for distributed event streaming that may be used for mission-critical applications, high-performance data pipelines, streaming analytics, and data integration. The largest companies in the world, in different sectors, are using Kafka.

Kafka node docs + examples

Kafka credential docs

See Kafka integrations

Related categories

Development

Other integrations with Harvest