Integrate the Formbricks API with the Python API

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

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Popular Ways to Connect Formbricks with Python#

Run Python Code with Python API on Response Created from Formbricks API

Formbricks + Python

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Popular Formbricks and Python Triggers#

Response Created from the Formbricks API

Emit new event when a response is created for a survey. See the documentation

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Popular Formbricks 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 Formbricks#

Formbricks is a flexible tool for building forms that can integrate seamlessly into any website. The API allows for rich interactions with the forms you create, enabling you to automate the gathering and processing of data. By plugging the Formbricks API into Pipedream, you can harness serverless workflows to react to form submissions in real-time, store responses, or trigger a multitude of actions across different platforms. Think of it as empowering your forms to communicate and act on the data without manual intervention.

Connect Formbricks#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    formbricks: {
      type: "app",
      app: "formbricks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.formbricks.$auth.hostname}/api/v1/management/me`,
      headers: {
        "x-api-key": `${this.formbricks.$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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