Integrate the DigitalOcean API with the Python API

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

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Popular DigitalOcean and Python Actions#

Add SSH Key with the DigitalOcean API

Adds a new SSH to your account. See the 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 a new domain with the DigitalOcean API

Create a new domain. See the docs here

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Create Droplet with the DigitalOcean API

Creates a droplet. See the docs here

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Create Snapshot with the DigitalOcean API

Creates a snapshot from a droplet. See the docs here

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Overview of DigitalOcean#

The Digital Ocean API provides programmatic access to manage Digital Ocean resources such as Droplets, Spaces, and Databases. With Pipedream, you can harness this API to automate a variety of tasks, like spinning up new servers, scaling resources, or integrating cloud infrastructure management into your workflow. It's a powerful tool for DevOps automation, allowing for the dynamic management of infrastructure in response to events or schedules.

Connect DigitalOcean#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    digital_ocean: {
      type: "app",
      app: "digital_ocean",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.digitalocean.com/v2/account`,
      headers: {
        Authorization: `Bearer ${this.digital_ocean.$auth.oauth_access_token}`,
      },
    })
  },
})

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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