What do you want to automate
with Zenkit and Python?
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Popular Zenkit and Python Triggers#
Popular Zenkit and Python Actions#
Add a comment to an entry/item within a list/collection on Zenkit. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Zenkit#
Zenkit is a versatile project management and collaboration tool that lets you organize your data and build custom workflows to streamline your business and personal projects. With the Zenkit API, you can create, read, update, and delete items in your collections, manage users, and automate notifications or actions based on changes within your datasets. Combining Zenkit's API with Pipedream's capability unlocks powerful automation opportunities, allowing you to interconnect your project data with numerous other services and internal systems to enhance productivity, data consistency, and event-driven processes.
Connect Zenkit#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zenkit: {
type: "app",
app: "zenkit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://zenkit.com/api/v1/users/me`,
headers: {
Authorization: `Bearer ${this.zenkit.$auth.oauth_access_token}`,
},
})
},
})
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