Integrate the TRIGGERcmd API with the Python API

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

Popular TRIGGERcmd and Python Actions#

Trigger a command with the TRIGGERcmd API

Runs a command on a computer. Refer to the TRIGGERcmd Forum to learn more.

Try it

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 TRIGGERcmd#

TRIGGERcmd is a cloud service that allows you to execute commands on your computers remotely through a REST API or via voice command with smart home integrators. With Pipedream's integration capabilities, you can create custom workflows to automate tasks across various apps and services. For instance, you could set up a serverless workflow to trigger scripts on your computer when specific events occur in other apps, such as receiving an email, a new GitHub commit, or a scheduled timer.

Connect TRIGGERcmd#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    triggercmd: {
      type: "app",
      app: "triggercmd",
    }
  },
  async run({steps, $}) {
    const data = {
      "computer": `insert_computer_name_here`,
      "trigger": `insert_trigger_name_here`,
    }
    return await axios($, {
      method: "post",
      url: `https://www.triggercmd.com/oauth/pipedream`,
      headers: {
        Authorization: `Bearer ${this.triggercmd.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}