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Docupilot

Document automation software

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Docupilot

Python

Integrate the Docupilot API with the Python API

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

Popular Docupilot and Python Actions#

Create Document with the Docupilot API

Create a document See docs here

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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.

Try it

Overview of Docupilot#

Docupilot offers powerful document automation capabilities, allowing you to create dynamic documents based on templates and data inputs. With the Docupilot API, you can integrate this functionality directly into Pipedream workflows, triggering document generation from a myriad of events and data sources. Think of automating contract creation when a new deal is won in your CRM, or sending personalized letters en masse with the click of a button. The API empowers you to craft, distribute, and manage documents efficiently and programmatically.

Connect Docupilot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docupilot: {
      type: "app",
      app: "docupilot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.docupilot.app/api/v1/templates`,
      headers: {
        "apikey": `${this.docupilot.$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#

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}}