Integrate the Neon (API Keys) API with the Python API

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

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Popular Neon (API Keys) and Python Actions#

Create Branch with the Neon (API Keys) API

Creates a branch in the project. See docs here

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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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Create Database with the Neon (API Keys) API

Creates a database in the project. See docs here

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Create Project with the Neon (API Keys) API

Creates a project. See docs here

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Overview of Neon (API Keys)#

The Neon API provides powerful interaction with Neon's infrastructure, which includes secure handling of API keys and other sensitive data. On Pipedream, you can leverage these capabilities to automate workflows around key management, data security, and infrastructure scaling. By connecting the Neon API with other services and apps, you can create automatic processes for issuing, rotating, and monitoring API keys, ensuring your applications maintain robust security and compliance without manual oversight.

Connect Neon (API Keys)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    neon_api_keys: {
      type: "app",
      app: "neon_api_keys",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://console.neon.tech/api/v2/projects`,
      headers: {
        Authorization: `Bearer ${this.neon_api_keys.$auth.api_key}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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