Integrate the Envoy API with the Python API

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

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Popular Ways to Connect Envoy with Python#

Run Python Code with Python API on New event when a visitor changes its signed status from Envoy API

Envoy + Python

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Run Python Code with Python API on New event when a visitor is invited from Envoy API

Envoy + Python

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Popular Envoy and Python Triggers#

New event when a visitor changes its signed status from the Envoy API

Emit new event for each visitor who signed in or out. See the docs.

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New event when a visitor is invited from the Envoy API

Emit new event for each invitations to a person or a group of people to visit a location. See the docs.

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Popular Envoy and Python Actions#

Create an Invite with the Envoy API

Create an Invite to a person to visit a location. See the docs.

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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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Overview of Envoy#

The Envoy API empowers users to streamline workplace operations, particularly visitor management, deliveries, and room bookings. Leveraging Pipedream's capabilities, you can automate tasks involving these aspects. For example, you can receive notifications when guests arrive, sync visitor data with other systems, or automate the creation and management of room bookings.

Connect Envoy#

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

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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