Docnify

Sign documents quickly and easily

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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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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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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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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo