Integrate the Softr API with the Python API

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

Popular Softr and Python Actions#

Create User with the Softr API

Creates a new user within your Softr app. See the documentation

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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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Delete User with the Softr API

Removes an existing user from your Softr app. Be aware, this action is irreversible. See the documentation

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Generate Magic Link with the Softr API

Generate a Magic Link for the specified user in your Softr app. See the documentation

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Overview of Softr#

The Softr API unlocks the power to automate and integrate Softr-built web apps with a multitude of external services and internal workflows. With it, you can streamline data manipulation, sync content, or trigger actions based on specific events. Create, update, and fetch data from your Softr applications, and leverage this functionality to enhance user experience, improve operational efficiency, and reduce manual workloads. When used on Pipedream, the API can connect with other apps to create robust, serverless workflows that operate in real-time or on a scheduled basis.

Connect Softr#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    softr: {
      type: "app",
      app: "softr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://studio-api.softr.io/v1/api/users`,
      headers: {
        "Softr-Api-Key": `${this.softr.$auth.api_key}`,
        "Softr-Domain": `${this.softr.$auth.domain}`,
        "Content-Type": `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#

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}}