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with Better Proposals and Python?

Prompt, edit and deploy AI agents that connect to Better Proposals, Python and 2,500+ other apps in seconds.

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

Overview of Better Proposals

The Better Proposals API offers a powerful way to automate proposal creation and management tasks. With it, you can programmatically generate, send, and track business proposals, streamlining the sales process and integrating seamlessly with CRM systems. By leveraging Pipedream’s capabilities, you can connect Better Proposals to a multitude of other apps to trigger actions based on proposal activities, sync data, or even automate follow-ups, thereby enhancing the efficiency of your sales workflow.

Connect Better Proposals

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    better_proposals: {
      type: "app",
      app: "better_proposals",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.betterproposals.io/settings/`,
      headers: {
        "Bptoken": `${this.better_proposals.$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

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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