Florm

Create branded, logic-driven forms, surveys and data collection workflows, that connect with the 6,500+ apps you already use.

Integrate the Florm API with the Python API

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

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.

 
Try it

Overview of Florm

Florm API allows you to craft surveys, quizzes, and forms and collect responses through a simple interface. With Pipedream, you can automate workflows by connecting Florm to various apps, triggering actions based on form submissions, and manipulating Florm data to fit your needs. Think of it as a bridge that lets your form responses flow into other systems, triggering emails, database updates, or even complex business logic.

Connect Florm

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    florm: {
      type: "app",
      app: "florm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://florm.app/api/team`,
      headers: {
        Authorization: `Bearer ${this.florm.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
    })
  },
})

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

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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}}