Launch27

One customer called us "Shopify for local businesses that offer neighborhood services!" We love it. Enjoy simple, powerful, online booking!

Integrate the Launch27 API with the Python API

Setup the Launch27 API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Launch27 and Python remarkably fast. Free for developers.

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 Launch27

Launch27 is a robust platform aimed at helping businesses manage bookings and appointments seamlessly. Leveraging the Launch27 API on Pipedream, users can automate various business processes by connecting their scheduling system with other apps and services. This can include automations like syncing new bookings with a Google Calendar, triggering SMS or email reminders when an appointment is nearing, or compiling customer feedback collected through Launch27 into a CRM platform.

Connect Launch27

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    launch27: {
      type: "app",
      app: "launch27",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.launch27.$auth.domain}.launch27.com/v1/settings`,
      headers: {
        Authorization: `Bearer ${this.launch27.$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}}