CallFire
CallFire is a communication platform powering businesses to market effectively by communicating smarter with text and phone.
Integrate the CallFire API with the Python API
Setup the CallFire API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate CallFire and Python remarkably fast. Free for developers.
Popular CallFire 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 CallFire#
The CallFire API offers a suite of telephony functions that allows users to send voice messages, text messages, and make calls to lists of contacts for various purposes like marketing campaigns, alerts, reminders, and polls. When integrated with Pipedream, you can automate interactions with your CallFire account, programmatically managing calls, texts, contacts, and creating custom, serverless workflows that respond to events in real-time without the need to manage infrastructure.
Connect CallFire#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
call_fire: {
type: "app",
app: "call_fire",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.callfire.com/v2/me/account`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.call_fire.$auth.api_login}`,
password: `${this.call_fire.$auth.api_password}`,
},
})
},
})
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}}