Aidaform

Online Form Creator: Stylish, Innovative, Easy

Integrate the Aidaform API with the Python API

Setup the Aidaform API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Aidaform 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.

 
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Overview of Aidaform

Aidaform is a service that lets you craft forms for a variety of purposes, from surveys to job applications. By leveraging the Aidaform API on Pipedream, you can automate interactions with your forms and the data they collect. This means instant processes for form responses, seamless data integration with other apps, and dynamic form management. With Pipedream's serverless platform, you can create workflows that trigger actions in other services like CRMs, email marketing tools, or databases whenever a new form submission is received.

Connect Aidaform

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aidaform: {
      type: "app",
      app: "aidaform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aidaform.com/v1/forms`,
      headers: {
        Authorization: `Bearer ${this.aidaform.$auth.api_key}`,
      },
      params: {
        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}}