What do you want to automate
with monday (API Key) and Python?
Prompt, edit and deploy AI agents that connect to monday (API Key), Python and 2,500+ other apps in seconds.
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Popular Ways to Connect monday (API Key) with Python#
Popular monday (API Key) and Python Triggers#
Emit new event when a column value is updated on a board. See the documentation
Emit new event when an item's name is updated. See the documentation
Emit new event when a board is created in Monday. See the documentation
Emit new event when a new item is added to a board. See the documentation
Emit new event when a sub-item is created. See the documentation
Popular monday (API Key) and Python Actions#
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
Overview of monday (API Key)#
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 (API Key)#
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,
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies