Integrate the Docnify API with the Python API

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

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Popular Ways to Connect Docnify with Python#

Run Python Code with Python API on New Document Completed from Docnify API

Docnify + Python

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Run Python Code with Python API on New Document Created from Docnify API

Docnify + Python

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Run Python Code with Python API on New Document Signed from Docnify API

Docnify + Python

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Popular Docnify and Python Triggers#

New Document Completed from the Docnify API

Emit new event when a document is signed by all recipients.

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New Document Created from the Docnify API

Emit new event when a new document is created.

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New Document Signed from the Docnify API

Emit new event when a document is signed by a recipient

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Popular Docnify and Python Actions#

Add Recipient To Document with the Docnify API

Add a recipient to an existing Docnify document. [See the documentation](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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Create Document From Template with the Docnify API

Create a new document in Docnify from a pre-existing template. See the documentation

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Send Document with the Docnify API

Send a document within Docnify for signing. See the documentation

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Connect Docnify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docnify: {
      type: "app",
      app: "docnify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.docnify.$auth.url}/api/v1/documents`,
      headers: {
        "Authorization": `${this.docnify.$auth.api_token}`,
      },
      params: {
        page: `1`,
        perPage: `1`,
      },
    })
  },
})

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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