Kafka and Medium integration

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

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How to connect Kafka and Medium

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.

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

Step 2: Add and configure Kafka and Medium nodes

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

Kafka and Medium integration: Add and configure Kafka and Medium nodes

Step 3: Connect Kafka and Medium

A connection establishes a link between Kafka and Medium (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.

Kafka and Medium integration: Connect Kafka and Medium

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

Kafka and Medium integration: Customize and extend your Kafka and Medium integration

Step 5: Test and activate your Kafka and Medium workflow

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

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

Build your own Kafka and Medium integration

Create custom Kafka and Medium 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.

Medium supported actions

Post
Publication

Create

Create a post

Get Many

Get many publications

Kafka and Medium integration details

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

A wide variety of tales, concepts, and ideas may be found on the online publication platform Medium. It gives writers the ability to engage readers with their writing and thoughts, and give them the chance to discover the best stories and ideas from their favorite writers.

Medium node docs + examples

Medium credential docs

See Medium integrations

Related categories

Marketing

Other integrations with Kafka