Waitwhile

Waitwhile is a virtual waitlist app and queue management platform that can be customized to work for any business.

Integrate the Waitwhile API with the Python API

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

Add Customer Note Entry with the Waitwhile API

Add a customer note entry. See the doc here

 
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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 Waitwhile API

Create a customer. See the doc here

 
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Create User Invite with the Waitwhile API

Create a user invite. See the doc here

 
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Delete Customer Note Entry with the Waitwhile API

Delete a customer note entry. See the doc here

 
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Overview of Waitwhile

Waitwhile is a queue management and scheduling platform that lets you optimize appointments and waitlists, enhancing the customer experience. By leveraging the Waitwhile API on Pipedream, you can automate processes such as updating waitlists, syncing customer data, or triggering notifications when a customer's status changes. This seamless integration can streamline operations for businesses like restaurants, healthcare providers, or service centers where queue management is crucial.

Connect Waitwhile

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    waitwhile: {
      type: "app",
      app: "waitwhile",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.waitwhile.com/v2/users`,
      headers: {
        "apiKey": `${this.waitwhile.$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

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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}}