SmartEngage
SmartEngage is the world's first and only Engagement Service Provider. Smartest way to get your message in front of more customers and potential customers.
Integrate the SmartEngage API with the Python API
Setup the SmartEngage API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SmartEngage and Python remarkably fast. Free for developers.
Popular SmartEngage 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 SmartEngage #
The SmartEngage API enables automated interactions with customers across multiple channels like email, SMS, and push notifications. It focuses on unifying these channels to provide a cohesive messaging experience. Utilizing the API in Pipedream allows you to craft workflows that respond to customer behavior, synchronize data across platforms, and send targeted communications, all in real-time. With Pipedream's serverless platform, you can trigger these workflows based on events from other apps, process the data, and call the SmartEngage API without managing infrastructure.
Connect SmartEngage #
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
smartengage: {
type: "app",
app: "smartengage",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.smartengage.com/avatars/list`,
headers: {
Authorization: `Bearer ${this.smartengage.$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}}