WhosOnLocation

Track and manage onsite employees, visitors, and contractors with touchless workplace sign-in, desk booking, wellness checks, and more.

Integrate the WhosOnLocation API with the Python API

Setup the WhosOnLocation API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate WhosOnLocation 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 WhosOnLocation

The WhosOnLocation API allows you to manage and track people's presence in various locations, such as office buildings, worksites, and campuses. In Pipedream, you can leverage this API to create automations that streamline visitor management, employee attendance, and emergency roll-calls. By crafting serverless workflows, you can respond to events in real-time, synchronize data with other systems, and enhance security and compliance processes.

Connect WhosOnLocation

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    whosonlocation: {
      type: "app",
      app: "whosonlocation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.whosonlocation.com/v1/staff`,
      auth: {
        username: `${this.whosonlocation.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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

1
2
3
4
5
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}}