10,000ft by Smartsheet

Simple resource allocation

Integrate the 10,000ft by Smartsheet API with the Python API

Setup the 10,000ft by Smartsheet API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 10,000ft by Smartsheet 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 10,000ft by Smartsheet

The 10,000ft by Smartsheet API opens the door to managing project scheduling, resource allocation, and reporting in a programmatic fashion. This API allows you to automate the retrieval of project data, update assignments, track time and expenses, and generate real-time reports. By leveraging Pipedream's capabilities, you can create custom workflows that respond to events in 10,000ft, synchronize data across multiple systems, and streamline project management tasks.

Connect 10,000ft by Smartsheet

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    _10000ft: {
      type: "app",
      app: "_10000ft",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.10000ft.com/api/v1/users `,
      headers: {
        "auth": `${this._10000ft.$auth.token}`,
      },
      params: {
        "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}}