Integrate the Superdocu API with the Python API

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

Popular Ways to Connect Superdocu with Python#

Run Python Code with Python API on New Event from Superdocu API

Superdocu + Python

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Popular Superdocu and Python Triggers#

New Event from the Superdocu API

Emit new events from Superdocu. You can configure your webhook here

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Popular Superdocu 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 Superdocu#

The Superdocu API empowers users to automate document collection and management processes, streamlining the way businesses handle paperwork for clients and employees. It facilitates the creation of document requests, tracking of submissions, and management of user data, all programmatically. Leveraging the Superdocu API on Pipedream allows users to build powerful, serverless workflows that can interact with a broad array of other applications, improving efficiency, reducing manual labor, and ensuring critical documents are collected and processed on time.

Connect Superdocu#

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

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}}