Integrate the Humanitix API with the Python API

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

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Popular Humanitix and Python Actions#

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 Humanitix#

The Humanitix API provides a programmable interface to interact with the Humanitix event platform, enabling you to automate and integrate event management processes with other systems. With this API, you can retrieve event details, manage attendees, and handle bookings programmatically. When used on Pipedream, you can leverage serverless workflows to connect Humanitix with a myriad of other apps and services, streamlining tasks like attendee communication, marketing efforts, and data analysis.

Connect Humanitix#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    humanitix: {
      type: "app",
      app: "humanitix",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.humanitix.com/v1/tags`,
      headers: {
        "x-api-key": `${this.humanitix.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      params: {
        page: `1`,
      },
    })
  },
})

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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