Integrate the Formcarry API with the Python API

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

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Popular Ways to Connect Formcarry with Python#

Run Python Code with Python API on New Form Submission from Formcarry API

Formcarry + Python

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Popular Formcarry and Python Triggers#

New Form Submission from the Formcarry API

Emit new event when the specified form receives a new submission. See the documentation

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Popular Formcarry 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 Formcarry#

Formcarry is an API for form processing, empowering developers to handle form submissions without the need for server-side code. With Formcarry, you can effortlessly collect, process, and integrate form data with various services. Using Pipedream, you can create serverless workflows that react to form submissions by triggering actions within Formcarry or in other apps, streamlining data collection and automation processes.

Connect Formcarry#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    formcarry: {
      type: "app",
      app: "formcarry",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://formcarry.com/api/auth`,
      params: {
        api_key: `${this.formcarry.$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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