Infobip
Infobip is a multi-channel communications platform
Integrate the Infobip API with the Python API
Setup the Infobip API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Infobip and Python remarkably fast. Free for developers.
Popular Infobip and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send a text message to multiple recipients via Viber. See the documentation
Sends a WhatsApp text message to a specified number. See the documentation
Overview of Infobip#
The Infobip API is a communication platform that enables seamless integration of messaging, voice, and email functionalities into various applications. With Infobip, you can automate notifications, authenticate users via one-time passwords, engage customers across multiple channels, and track communication performance. Pipedream's serverless execution environment lets you create sophisticated workflows that harness the capabilities of Infobip by triggering actions based on events, manipulating data, and connecting with numerous other apps.
Connect Infobip#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
infobip: {
type: "app",
app: "infobip",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.infobip.$auth.base_url}.api.infobip.com/sms/1/logs`,
headers: {
"Authorization": `App ${this.infobip.$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}}