CloudTalk
CloudTalk is an intuitive cloud-based call center software for sales and support teams of all sizes, looking to improve customer experiences through more personalized, data-driven customer interactions.
Integrate the CloudTalk API with the Python API
Setup the CloudTalk API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate CloudTalk and Python remarkably fast. Free for developers.
Popular CloudTalk 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 CloudTalk#
The CloudTalk API facilitates advanced telephony capabilities, letting you streamline communication workflows, from call tracking and analytics to automating customer support processes. With Pipedream's integration, you can effortlessly connect CloudTalk to a myriad of other apps and services, enabling you to automate actions based on call events, synchronize customer data across platforms, and trigger communication sequences without manual intervention.
Connect CloudTalk#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudtalk: {
type: "app",
app: "cloudtalk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://my.cloudtalk.io/api/calls/index.json`,
auth: {
username: `${this.cloudtalk.$auth.api_key}`,
password: `${this.cloudtalk.$auth.api_secret}`,
},
})
},
})
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}}