Integrate the Schedule it API with the Python API

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

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Popular Schedule it 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 Schedule it#

Schedule it offers an API that lets users manage appointments, resources, and scheduling efficiently. In Pipedream, this API can drive powerful automations for schedule management, notifications, and coordination between multiple platforms. With this API, you can create events, update schedules, and integrate with other services to streamline operations. By leveraging Pipedream's serverless platform, you can construct workflows that respond to scheduling triggers, manipulate data, and interact with an array of applications without the hassle of managing infrastructure.

Connect Schedule it#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    schedule_it: {
      type: "app",
      app: "schedule_it",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://scheduleit.com/api/groups`,
      auth: {
        username: `${this.schedule_it.$auth.account_number}_${this.schedule_it.$auth.login_name}`,
        password: `${this.schedule_it.$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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