PlanSo Forms

It has never been easier to create professional online forms

Integrate the PlanSo Forms API with the Python API

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

The PlanSo Forms API allows for the automation of form-related tasks and the seamless integration of form data into various applications or workflows. On Pipedream, this translates to crafting serverless workflows that trigger upon form submissions, manipulating and routing the data to other services for analysis, storage, or further action. With this API, you can trigger events, process form inputs, and integrate with countless other apps in the Pipedream ecosystem to streamline processes and enhance data management.

Connect PlanSo Forms

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    planso_forms: {
      type: "app",
      app: "planso_forms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.planso_forms.$auth.company_token}.planso.de/api/v2/methods_table_list_tables`,
      headers: {
        "Apikey": `${this.planso_forms.$auth.api_key}`,
        "Apipass": `${this.planso_forms.$auth.api_password}`,
      },
    })
  },
})

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}}