Integrate the SavvyCal API with the Python API

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

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Popular Ways to Connect SavvyCal with Python#

Run Python Code with Python API on New Webhook Event (Instant) from SavvyCal API

SavvyCal + Python

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Popular SavvyCal and Python Triggers#

New Webhook Event (Instant) from the SavvyCal API

Emit new event when a new webhook event occurs. Please add this Source URL as one of your webhook in SavvyCal Integration > Webhooks.

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Popular SavvyCal 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 SavvyCal#

SavvyCal makes scheduling meetings less of a hassle with personalized links and overlaying of calendars to find optimal meeting times. The SavvyCal API allows for the automated creation and management of scheduling links, the coordination of calendars, and the customization of scheduling parameters. Within Pipedream, you can integrate SavvyCal with various other apps to streamline your scheduling processes. This means you can automatically create meetings based on triggers from other apps, sync schedules across platforms, or send notifications when new meetings are scheduled.

Connect SavvyCal#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    savvycal: {
      type: "app",
      app: "savvycal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.savvycal.com/v1/me`,
      headers: {
        Authorization: `Bearer ${this.savvycal.$auth.oauth_access_token}`,
        "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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