Cliengo
Cliengo is a chatbot that boosts your business sales opportunities, chatting with your visitors proactively and at any time.
Integrate the Cliengo API with the Python API
Setup the Cliengo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Cliengo and Python remarkably fast. Free for developers.
Popular Cliengo 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 Cliengo#
Cliengo is a chatbot platform that lets you automate conversations with visitors on your website, aiding in lead capture and customer service. The Cliengo API offers capabilities to programmatically manage these conversations, extract chat data, and integrate with CRM systems. By leveraging Pipedream, you can connect Cliengo to a variety of different apps and services to streamline workflows, such as syncing chat data to your CRM, triggering emails based on chat events, or analyzing customer interaction patterns.
Connect Cliengo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cliengo: {
type: "app",
app: "cliengo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cliengo.com/1.0/account`,
params: {
api_key: `${this.cliengo.$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}}