monday.com
monday.com is a powerful project management system — a complete Work OS designed to help your team complete projects efficiently, collaborate effectively, and grow online.
Integrate the monday.com API with the Python API
Setup the monday.com API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate monday.com and Python remarkably fast. Free for developers.
Popular monday.com and Python Triggers#
Emit new event when a column value is updated on a board in Monday. For changes to Name, use the Name Updated Trigger.
Emit new event when a new item is added to a board in Monday.
Emit new event when an item's Name is updated on a board in Monday.
Emit new event when a value in the specified column is updated on a board in Monday. For changes to Name, use the Name Updated Trigger.
Popular monday.com and Python Actions#
Overview of monday.com#
The monday.com API unlocks the potential to automate workflows, sync data across applications, and create dynamic project management solutions. With this API on Pipedream, you can craft custom integrations that respond to events in monday.com, manipulate boards, items, and columns, and harmonize project data with third-party services to streamline operations, reduce manual workload, and ensure consistent information flow within your business ecosystem.
Connect monday.com#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monday: {
type: "app",
app: "monday",
}
},
async run({steps, $}) {
const data = {
"query": `query {
me {
is_guest
join_date
}
}`,
}
return await axios($, {
url: `https://api.monday.com/v2`,
headers: {
"Authorization": `${this.monday.$auth.api_key}`,
},
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}}