Setmore

Setmore offers a free, online scheduling platform for you to connect with your customers.

Integrate the Setmore API with the Python API

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

Create Appointment with the Setmore API

Create a new appointment in Setmore Appointments. See the documentation

 
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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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Create Customer with the Setmore API

Create a new customer in Setmore Appointments. See the documentation

 
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Overview of Setmore

The Setmore API opens doors to automating appointment scheduling and calendar management, allowing you to sync appointments, customer information, and services across different platforms. This seamless integration through Pipedream can trigger workflows from new appointments, update external CRMs with customer data, or prep team communication channels with upcoming schedule details. By harnessing the Setmore API on Pipedream, you're equipping yourself to orchestrate complex operations with simplicity and precision.

Connect Setmore

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    setmoreappointments: {
      type: "app",
      app: "setmoreappointments",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://developer.setmore.com/api/v1/bookingapi/staffs`,
      headers: {
        Authorization: `Bearer ${this.setmoreappointments.$auth.oauth_access_token}`,
        "Content-Type": `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

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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}}