Formcarry

Formcarry allows you to collect submissions from your own HTML form, without any back-end code.

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.

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 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

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    formcarry: {
      type: "app",
      app: "formcarry",
    },
    form_id: {
      type: "string",
      label: "Form ID",
      description: `Paste the ID of the form you'd like to access.`
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://formcarry.com/api/form/${this.form_id}/submissions`,
      params: {
        api_key: `${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

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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}}