ProdPad focuses on every aspect of a product manager's life, from creating roadmaps, to managing a backlog, communicating and building team transparency, and managing customer feedback.
Emit new event when a new feedback is created. See the docs.
Emit new event when a new feedback is created for an idea. [See the docs]https://app.swaggerhub.com/apis-docs/ProdPad/prodpad/1.0#/Ideas/GetIdeaFeedback).
Create a new company in the account. This is only available to accounts with an Advanced or higher subscription. If you try on an account without an advanced or higher subscription package it will return a 403. See the docs.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The ProdPad API taps into the core functionalities of product management, allowing you to automate interactions with your product backlog, roadmaps, and idea pools. With Pipedream's serverless execution environment, you can trigger workflows based on events in ProdPad, sync data across multiple platforms, and create custom automations to streamline your product management processes. ProdPad's API lets you seamlessly integrate with other tools to keep your team aligned, informed, and productive.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
prodpad: {
type: "app",
app: "prodpad",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.prodpad.com/v1/users`,
headers: {
Authorization: `Bearer ${this.prodpad.$auth.api_key}`,
},
})
},
})
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:
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}}