Integrate the Project Broadcast API with the Python API

Setup the Project Broadcast API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Project Broadcast and Python remarkably fast. Free for developers.

Popular Project Broadcast and Python Actions#

Add Keyword To Contact with the Project Broadcast API

Add a keyword to a contact. See the documentation

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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.

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Broadcast Message with the Project Broadcast API

Sends a broadcast message to a list of contacts. See the documentation

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Create Contact with the Project Broadcast API

Create a new contact. See the documentation

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Overview of Project Broadcast#

The Project Broadcast API facilitates communication through automated text messaging, providing features to manage contacts, send messages, and track campaigns. Leveraging this API on Pipedream allows you to create intricate workflows that can automate your texting campaigns, sync contact lists, and engage with customers by integrating with numerous other services for CRM, marketing, and other functions. With Pipedream's serverless platform, these integrations become seamless, triggering actions in real-time or on a schedule without the need for complex infrastructure.

Connect Project Broadcast#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    project_broadcast: {
      type: "app",
      app: "project_broadcast",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.projectbroadcast.com/api/campaigns`,
      headers: {
        "x-api-key": `${this.project_broadcast.$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}}