What do you want to automate
with Trengo and Python?
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Popular Trengo and Python Triggers#
Emit new events when an inbound message received. See the docs here
Emit new events when a internal note added. See the docs here
Emit new events when an outbound message sent. See the docs here
Emit new events when an phone call ended. See the docs here
Emit new events when an phone call missed. See the docs here
Popular Trengo and Python Actions#
Creates a contact. If a contact with given identifier already exists, returns it. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
This action can be used to easily send a message or an email without having to think about contacts or tickets, See the docs
Overview of Trengo#
The Trengo API provides programmatic access to Trengo's multi-channel communication platform, allowing for the streamlining of customer interactions across various channels such as email, SMS, social media, and chat. By leveraging the Trengo API on Pipedream, you can automate customer support workflows, sync communication data with CRM systems, and trigger alerts or actions based on specific customer queries or events.
Connect Trengo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trengo: {
type: "app",
app: "trengo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.trengo.eu/api/v2/users`,
headers: {
Authorization: `Bearer ${this.trengo.$auth.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