Integrate the Harmonic API with the Python API

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

Popular Harmonic 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.

Try it

Overview of Harmonic#

The Harmonic API offers machine learning-driven insights for sales and customer interactions. By analyzing communication data, it can provide actionable insights, such as customer sentiment, engagement, and overall sales performance. When leveraged within Pipedream, the Harmonic API enables the automation of workflows that can enhance CRM activities, tailor customer outreach, and streamline sales processes. With Pipedream's capacity for integrating various apps, the data processed by the Harmonic API can trigger actions across multiple platforms, enriching customer profiles, automating alerts, and synchronizing with marketing efforts.

Connect Harmonic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    harmonic: {
      type: "app",
      app: "harmonic",
    }
  },
  async run({steps, $}) {
    const data = {
      "apikey": `${this.harmonic.$auth.apikey}`,
      "website_domain": `harmonic.ai`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.harmonic.ai/companies`,
      headers: {
        "apikey": `${this.harmonic.$auth.apikey}`,
        "website_domain": `harmonic.ai`,
      },
      params: {
        apikey: `${this.harmonic.$auth.apikey}`,
        website_domain: `harmonic.ai`,
      },
      data,
    })
  },
})

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}}