What do you want to automate
with Aircall and Python?
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Popular Aircall 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 Aircall#
The Aircall API allows you to harness telephony features within your applications, enabling you to manage calls, contacts, users, and more programmatically. With Pipedream's capability to leverage this API, you can automate call logging, synchronize contact information across platforms, dynamically route calls based on business logic, and generate analytics and reports.
Connect Aircall#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aircall: {
type: "app",
app: "aircall",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.aircall.io/v1/integrations/me`,
headers: {
Authorization: `Bearer ${this.aircall.$auth.oauth_access_token}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies