Integrate the FormPress API with the Python API

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

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Popular Ways to Connect FormPress with Python#

Run Python Code with Python API on New Submission (Instant) from FormPress API

FormPress + Python

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Popular FormPress and Python Triggers#

New Submission (Instant) from the FormPress API

Emit new event when there is a new submission. See the documentation

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Popular FormPress 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 FormPress#

The FormPress API allows you to create and manage forms dynamically, without needing a backend to process submissions. You can integrate FormPress with Pipedream to automate processes such as capturing form submissions, organizing data, triggering notifications, and connecting responses to various apps or services. Pipedream's serverless platform makes it simple to handle FormPress events and incorporate them into workflows, saving time and eliminating the need to manage infrastructure.

Connect FormPress#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    formpress: {
      type: "app",
      app: "formpress",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.formpress.org/api/users/${this.formpress.$auth.oauth_uid}/forms`,
      headers: {
        Authorization: `Bearer ${this.formpress.$auth.oauth_access_token}`,
      },
    })
  },
})

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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