eStreamDesk
If you are looking for an easy to use yet extremely powerful service to help you manage customer requests then eStreamDesk may be just what you are looking for. eStreamDesk is a hosted helpdesk and ticket tracking service that helps you to deliver exception customer service while saving time and cutting support costs.
Integrate the eStreamDesk API with the Python API
Setup the eStreamDesk API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate eStreamDesk and Python remarkably fast. Free for developers.
Popular eStreamDesk 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 eStreamDesk#
The eStreamDesk API facilitates the creation, manipulation, and tracking of support tickets within the eStreamDesk helpdesk system. By leveraging the API on Pipedream, you can seamlessly connect your customer support operations with other services to automate notifications, synchronize data across platforms, and trigger custom workflows. This can lead to improved response times, better customer service, and more efficient resolution of support issues.
Connect eStreamDesk#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
estreamdesk: {
type: "app",
app: "estreamdesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.estreamdesk.$auth.domain}.estreamdesk.com/api/tickets`,
headers: {
"apiKey": `${this.estreamdesk.$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}}