Nudgify is the Social Proof, FOMO and UX app that adds real-world context to your website in realtime.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a sign-up nudge for a user in Nudgify. See docs here
The Nudgify API lets you create and manage social proof notifications, aimed at increasing user engagement and conversions on your website. By leveraging this API on Pipedream, you can automate the interaction with Nudgify notifications and integrate them into your site's workflow. This could include creating notifications based on user behavior, updating them in real-time as data changes, or deleting them once they're no longer needed. The Pipedream platform simplifies the process of working with the Nudgify API by handling authentication, providing a code-free interface for setting up workflows, and enabling connections with numerous other apps for extended functionality.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nudgify: {
type: "app",
app: "nudgify",
}
},
async run({steps, $}) {
const data = {
"site_key": `${this.nudgify.$auth.site_key}`,
"conversions": [{
"date":"2021-04-15 04:29:42",
"email":"john0941034@gmail.com",
"first_name":"John",
"last_name":"Mendes",
"ip":"92.21.8.106",
"city":"Houston",
"state":"Texas",
"country":"US"
}],
}
return await axios($, {
method: "POST",
url: `https://app.nudgify.com/api/conversions`,
headers: {
Authorization: `Bearer ${this.nudgify.$auth.api_key}`,
"content-type": `application/json`,
"accept": `application/json`,
},
data,
})
},
})
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}}