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Integrate the Digital Ocean API with the Python API

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

Popular Digital Ocean and Python Actions

Add SSH Key with the Digital Ocean API

Adds a new SSH to your account. See the docs here

 
Try it
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 Digital Ocean API

Create a new domain. See the docs here

 
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Create Droplet with the Digital Ocean API

Creates a droplet. See the docs here

 
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Create Snapshot with the Digital Ocean API

Creates a snapshot from a droplet. See the docs here

 
Try it

Overview of Digital Ocean

You can use the Digital Ocean API to manage Droplets (virtual private servers),
resources within those Droplets, and other account-wide resources like domains
and images.

Examples of what you can build using the Digital Ocean API include:

  • A script to create and destroy Droplets on demand
  • A script to snapshot (back up) your Droplets on a regular basis
  • A script to add and remove SSH keys from your account
  • A script to manage domain records (DNS)
  • A script to add and remove Floating IPs from your account

Connect Digital Ocean

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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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