Zoho Cliq
Chat app that's built for work. Messaging, video collaboration, task management and productivity.
Integrate the Zoho Cliq API with the Python API
Setup the Zoho Cliq API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zoho Cliq and Python remarkably fast. Free for developers.
Popular Zoho Cliq and Python Triggers#
Emit new event when a new channel message is received. See the documentation
Emit new event when a new direct message is received. See the documentation
Popular Zoho Cliq 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 Zoho Cliq#
The Zoho Cliq API allows you to automate and integrate your team communication within Zoho Cliq. With this API, you can create bots to send messages, manage channels and users, and streamline notifications to your team about events from other applications or services. Using Pipedream, you can harness these capabilities to create powerful workflows that trigger actions within Zoho Cliq or react to events happening in Cliq to perform tasks in other apps.
Connect Zoho Cliq#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_cliq: {
type: "app",
app: "zoho_cliq",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.zoho_cliq.$auth.base_api_uri}/api/v2/users`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_cliq.$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}}