Integrate the neetoKB API with the Python API

Setup the neetoKB API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate neetoKB and Python remarkably fast. Free for developers.

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Popular neetoKB and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of neetoKB#

The neetoKB API enables integration with neetoKB, a knowledge base management service. It allows you to automate the creation, retrieval, updating, and deletion of articles, categories, and sections within your knowledge base. On Pipedream, you can leverage this API to create workflows that streamline content management, collaborate with team members, and synchronize data across multiple platforms. Pipedream's serverless platform also offers real-time processing, event-driven triggers, and connections to hundreds of other apps for extended functionality.

Connect neetoKB#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    neetokb: {
      type: "app",
      app: "neetokb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.neetokb.$auth.organization_name}.neetokb.com/api/v1/articles`,
      headers: {
        "Content-Type": `application/json`,
        "X-Api-Key": `${this.neetokb.$auth.api_key}`,
      },
      params: {
        term: `test`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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