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.
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 sub-item is created. To create this trigger, you need to have at least one subitem previously created on your board.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new group in a specific board. See the documentation
The monday.com API enables developers to programmatically interact with their monday.com workspace, allowing for automated workflows, data management, and integrations with other applications. Using Pipedream's serverless platform, you can leverage this API to create custom workflows that respond to board updates, manage items automatically, and connect monday.com with hundreds of other apps.
You can connect your monday.com account in a few different ways:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monday_oauth: {
type: "app",
app: "monday_oauth",
}
},
async run({steps, $}) {
const data = {
"query": "query { me { is_guest join_date email } }"
}
return await axios($, {
method: "post",
url: `https://api.monday.com/v2`,
headers: {
Authorization: `Bearer ${this.monday_oauth.$auth.oauth_access_token}`,
},
data,
})
},
})
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:
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}}