Integrate the RegFox API with the Python API

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

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Popular Ways to Connect RegFox with Python#

Run Python Code with Python API on New Deposit Completed from RegFox API

RegFox + Python

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Run Python Code with Python API on New Form Published from RegFox API

RegFox + Python

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Run Python Code with Python API on New Registrant Applied from RegFox API

RegFox + Python

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Popular RegFox and Python Triggers#

New Deposit Completed from the RegFox API

Emit new event when a subscription or deposit has been completed. See docs here.

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New Form Published from the RegFox API

Emit new event when a form is succesfully published. See docs here.

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New Registrant Applied from the RegFox API

Emit new event when a registrant applies to an event. See docs here.

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Popular RegFox 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 RegFox#

The RegFox API provides programmatic access to event registration functionalities, allowing for the creation of custom registration experiences, data retrieval, and the automation of event management tasks. With Pipedream, you can harness this API to automate repetitive tasks, sync registration data with other services, and trigger actions based on event activities.

Connect RegFox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    regfox: {
      type: "app",
      app: "regfox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.webconnex.com/v2/public/ping`,
      headers: {
        "apiKey": `${this.regfox.$auth.api_key}`,
      },
    })
  },
})

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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