Integrate the DocuGenerate API with the Python API

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

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Popular DocuGenerate 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 DocuGenerate#

The DocuGenerate API lets you automate document creation and management tasks within Pipedream workflows. With this API, you can create custom documents, populate them with dynamic data, and perform various actions like retrieving, updating, or deleting documents programmatically. Integrating DocuGenerate with Pipedream enables you to connect your document workflows with hundreds of other apps, simplifying processes like contract generation from CRM data, automating report distribution, or even pushing notifications based on document status changes.

Connect DocuGenerate#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docugenerate: {
      type: "app",
      app: "docugenerate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.docugenerate.com/v1/template`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `${this.docugenerate.$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}}

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