Integrate the Beekeeper API with the Python API

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

Popular Beekeeper 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.

Overview of Beekeeper#

Beekeeper's API enables developers to access Beekeeper's features and data, including users, posts, and comments. With the API, developers can create applications that display Beekeeper data or allow Beekeeper users to interact with their data.

Some example applications that could be built using the Beekeeper API include:

A desktop application for viewing and interacting with Beekeeper data
A mobile application for accessing Beekeeper on the go
A web application for displaying Beekeeper data in a custom interface
A plugin for another application that allows Beekeeper data to be used within that application

Connect Beekeeper#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    beekeeper: {
      type: "app",
      app: "beekeeper",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.beekeeper.$auth.subdomain}.beekeeper.io/api/2/config`,
      headers: {
        Authorization: `Bearer ${this.beekeeper.$auth.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#

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}}