Twilio is a cloud communications platform for building SMS, Voice & Messaging applications on an API built for global scale.
Emit new event every time an SMS is sent to the phone number set. Configures a webhook in Twilio, tied to an incoming phone number.
Emit new event each time a call to the phone number is completed. Configures a webhook in Twilio, tied to a phone number.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Make a phone call, passing text that Twilio will speak to the recipient of the call. See the docs for more information
Send an SMS with text and media files. See the docs for more information
Check if user-provided token is correct. See the documentation for more information
Twilio's API on Pipedream opens up a multitude of communication capabilities, allowing you to build robust, scalable, and automated workflows. With Twilio, you can send and receive SMS and MMS messages, make voice calls, and perform other communication functions programmatically. Leveraging Pipedream's seamless integration, you can connect these communications features with hundreds of other services to automate notifications, streamline customer interactions, and enhance operational efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
twilio: {
type: "app",
app: "twilio",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.twilio.com/2010-04-01/Accounts.json`,
auth: {
username: `${this.twilio.$auth.AccountSid}`,
password: `${this.twilio.$auth.AuthToken}`,
},
})
},
})
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:
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}}