Pendo’s product experience platform allows companies to make product intelligence actionable with speed and scale, giving rise to a new generation of companies that put product at the center of everything.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Pendo API provides a suite of endpoints that allow you to tap into user insights and product data collected by Pendo. With this API, you can automate the retrieval of visitor analytics, track feature usage, and manage guides and feedback within your application. When used within Pipedream, you can craft workflows that respond to this data in real-time, connect with other apps, and streamline your user-centric operations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pendo: {
type: "app",
app: "pendo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.pendo.$auth.subdomain}.pendo.io/api/v1/report`,
headers: {
"x-pendo-integration-key": `${this.pendo.$auth.integration_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}}