Better Proposals
Better Proposals helps you create your proposals faster, makes them look more professional, and gives you all the tools you need to win the job as quickly as possible.
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.
Popular Better Proposals and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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#
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#
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}}