Integrate the Triggre API with the Python API

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

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Popular Triggre and Python Actions#

Start Automation Flow with the Triggre API

Starts an automation flow within your Triggre application. See the documentation

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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 Triggre#

The Triggre API offers a gateway to interact with the Triggre platform, enabling you to automate processes, manage data, and integrate with other services. On Pipedream, you can harness this API to create powerful serverless workflows, connecting Triggre with numerous other apps to streamline operations, trigger actions based on events, and manipulate data in real-time. This empowers you to build custom, automated solutions that bridge the gap between Triggre and the rest of your tech stack.

Connect Triggre#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    triggre: {
      type: "app",
      app: "triggre",
    }
  },
  async run({steps, $}) {
    const data = {
        "name": "Test User",
        "email": "test@sampledomain.com",
        "visitors": 10
    }
    return await axios($, {
      method: "post",
      url: `${this.triggre.$auth.triggre_application_url}/${this.triggre.$auth.application_environment}/interfaces/rest/finaltest/finaltest`,
      auth: {
        username: `${this.triggre.$auth.application_username}`,
        password: `${this.triggre.$auth.application_password}`,
      },
      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}}

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