Workiom
An online No-Code Platform for teams and companies to manage their Data & Tasks using automation and advance collaboration features
Integrate the Workiom API with the Python API
Setup the Workiom API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Workiom and Python remarkably fast. Free for developers.
Popular Workiom 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 Workiom#
Workiom is a no-code platform that helps teams build custom work management apps. The Workiom API allows for extensive customization and automation, enabling you to streamline business processes by connecting your custom apps with a multitude of other services. With the API, you can create, read, update, and delete records, manage lists, and automate tasks within your Workiom apps. By leveraging Pipedream's capabilities, you can integrate Workiom with hundreds of other apps to automate workflows, sync data across platforms, and trigger actions based on events from any connected service.
Connect Workiom#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
workiom: {
type: "app",
app: "workiom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.workiom.com/api/services/app/Apps/GetAll`,
headers: {
"Accept": `text/plain`,
"X-Api-Key": `${this.workiom.$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}}