MessageBird
A communications platform building a world where talking with a business is as easy and natural as talking to a friend.
Integrate the MessageBird API with the Python API
Setup the MessageBird API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate MessageBird and Python remarkably fast. Free for developers.
Popular MessageBird 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 MessageBird #
The MessageBird API on Pipedream allows you to automate communications by sending messages, making voice calls, and verifying phone numbers. With Pipedream's serverless platform, you can trigger workflows that integrate MessageBird with hundreds of other apps to engage customers, streamline notifications, and improve verification processes. Create custom alert systems, chatbots, or multi-factor authentication (MFA) mechanisms by leveraging the API's capabilities within Pipedream's seamless integration environment.
Connect MessageBird #
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
messagebird: {
type: "app",
app: "messagebird",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://rest.messagebird.com/balance`,
headers: {
"Authorization": `AccessKey ${this.messagebird.$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}}