tawk.to
Monitor and chat with the visitors on your website, respond to support tickets, organize contacts and create a help center to empower customers to help themselves.
Integrate the tawk.to API with the Python API
Setup the tawk.to API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate tawk.to and Python remarkably fast. Free for developers.
Popular tawk.to and Python Triggers#
Popular tawk.to 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 tawk.to#
The tawk.to API lets you interact with the tawk.to live chat platform programmatically. Using Pipedream, you can connect tawk.to to a variety of other apps and services to automate notifications, sync chat data, and enhance customer support operations. You can trigger workflows on new messages, follow up on conversations, extract chat transcripts, or link chat events to CRM systems, issue trackers, or databases—all in real-time.
Connect tawk.to#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tawk_to: {
type: "app",
app: "tawk_to",
}
},
async run({steps, $}) {
const data = {
"type": `business`,
}
return await axios($, {
method: "post",
url: `https://api.tawk.to/v1/property.list`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.tawk_to.$auth.api_key}`,
password: `f`,
},
data,
})
},
})
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}}