Integrate the Gravity Forms API with the Python API

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

Popular Ways to Connect Gravity Forms with Python#

Run Python Code with Python API on New Form Submission from Gravity Forms API

Gravity Forms + Python

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Popular Gravity Forms and Python Triggers#

New Form Submission from the Gravity Forms API

Emit new event when a new form submission is received.

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Popular Gravity Forms and Python Actions#

Create Entry with the Gravity Forms API

Creates a new entry in a Gravity Forms form. 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 Gravity Forms#

The Gravity Forms API allows you to interact programmatically with Gravity Forms, a WordPress form plugin, to create, update, delete, and retrieve form entries. Within Pipedream, you can leverage this API to automate workflows, integrate with other apps, and manipulate form data in real-time. By connecting Gravity Forms to Pipedream's serverless platform, you open up possibilities to sync form submissions with databases, trigger notifications, or even process payments automatically.

Connect Gravity Forms#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gravity_forms: {
      type: "app",
      app: "gravity_forms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://{custom_fields.base_api_url}}/wp-json/gf/v2/forms`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.gravity_forms.$auth.consumer_key}`,
        password: `${this.gravity_forms.$auth.consumer_secret}`,
      },
    })
  },
})

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}}