Nusii Proposals

Proposal software that both you and your clients will love. Stop fighting with Word, InDesign and PDF's. Create beautiful proposals in less time, every time with Nusii.

Integrate the Nusii Proposals API with the Python API

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

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 Nusii Proposals

The Nusii Proposals API enables users to automate and integrate their proposal workflow with other tools and services. With this API, you can create, send, and manage proposals, keep track of their status, and handle clients efficiently. Leveraging Pipedream's capabilities, you can construct workflows that respond to events in Nusii, like a new proposal acceptance, or trigger actions in Nusii based on activities in other apps.

Connect Nusii Proposals

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nusii_proposals: {
      type: "app",
      app: "nusii_proposals",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.nusii.com/api/v2/proposals`,
      headers: {
        "Authorization": `Token token=${this.nusii_proposals.$auth.api_token}`,
        "User-Agent": `@PipedreamHQ/pipedream v0.1`,
      },
    })
  },
})

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}}