Braze
Customer engagement platform powering customer-centric interactions between consumers and brands in real-time
Integrate the Braze API with the Python API
Setup the Braze API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Braze and Python remarkably fast. Free for developers.
Popular Braze 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 Braze#
The Braze API allows you to automate your customer relationship management by engaging with users through various channels like email, push notifications, and in-app messages. By leveraging the Braze API on Pipedream, you can create customized, scalable workflows to streamline your marketing campaigns, user segmentation, and event tracking. With real-time data processing and the ability to connect with multiple services, Pipedream enhances the power of Braze, allowing for more dynamic and responsive user engagement strategies.
Connect Braze#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
braze: {
type: "app",
app: "braze",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.braze.$auth.intance_domain}.braze.${this.braze.$auth.region}/catalogs`,
headers: {
Authorization: `Bearer ${this.braze.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
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}}