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 value in the specified column is updated on a board in Monday. For changes to Name, use the Name Updated Trigger.
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 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.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monday: {
type: "app",
app: "monday",
}
},
async run({steps, $}) {
const data = {
query: `query {
me {
id
email
}
}`
}
return await axios($, {
method: "post",
url: `https://api.monday.com/v2`,
headers: {
"Authorization": `${this.monday.$auth.api_key}`,
},
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}}