Integrate the BunnyDoc API with the Python API

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

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Popular Ways to Connect BunnyDoc with Python#

Run Python Code with Python API on New Completed Signature Request (Instant) from BunnyDoc API

BunnyDoc + Python

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Run Python Code with Python API on New Signed Request (Instant) from BunnyDoc API

BunnyDoc + Python

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Run Python Code with Python API on New Viewed Signature Request (Instant) from BunnyDoc API

BunnyDoc + Python

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Popular BunnyDoc and Python Triggers#

New Completed Signature Request (Instant) from the BunnyDoc API

Emit new event each time a signature request is completed.

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New Signed Request (Instant) from the BunnyDoc API

Emit new event each time a signature request is signed.

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New Viewed Signature Request (Instant) from the BunnyDoc API

Emit new event when a signature request is viewed.

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Popular BunnyDoc 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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Send Signature Request from Template with the BunnyDoc API

Sends a signature request using a pre-designed bunnydoc template. See the documentation

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Connect BunnyDoc#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bunnydoc: {
      type: "app",
      app: "bunnydoc",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bunnydoc.com/v1/listTeamMembers`,
      headers: {
        "Authorization": `API-KEY ${this.bunnydoc.$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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