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.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo