Integrate the Heartbeat API with the Python API

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

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Popular Heartbeat 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 Heartbeat#

The Heartbeat API offers a powerful way to connect and automate your community engagement. With this API, you can monitor community signals, manage members, and trigger events based on community interactions. By integrating Heartbeat with Pipedream, you can create dynamic, serverless workflows that act upon these signals and bring efficiency to your community management tasks. Whether it's automating welcome messages, syncing member data with other platforms, or analyzing community health, the possibilities are vast.

Connect Heartbeat#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    heartbeat: {
      type: "app",
      app: "heartbeat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.heartbeat.chat/v0/users`,
      headers: {
        Authorization: `Bearer ${this.heartbeat.$auth.api_key}`,
        "Accept": `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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