Integrate the SmartyMeet API with the Python API

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

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Popular SmartyMeet 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 SmartyMeet#

SmartyMeet API facilitates the scheduling and management of meetings, integrating powerful features like automated scheduling, reminders, and calendar syncing. With this API, users can automate the entire lifecycle of a meeting from initiation to follow-up, directly interfacing with calendars, conferencing tools, and communication platforms to streamline operations. Using Pipedream, these capabilities can be extended to create dynamic, automated workflows that interact with other applications, handle data seamlessly, and improve collaboration efficiency.

Connect SmartyMeet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    smartymeet: {
      type: "app",
      app: "smartymeet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.smartymeet.$auth.server}/v1/jobs`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `${this.smartymeet.$auth.api_key}`,
      },
    })
  },
})

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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