Integrate the Zenkit API with the Python API

Setup the Zenkit API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zenkit and Python remarkably fast. Free for developers.

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Popular Ways to Connect Zenkit with Python#

Run Python Code with Python API on New Activity (Instant) from Zenkit API

Zenkit + Python

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Run Python Code with Python API on New Entry (Instant) from Zenkit API

Zenkit + Python

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Run Python Code with Python API on New Notification (Instant) from Zenkit API

Zenkit + Python

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Run Python Code with Python API on Updated Entry (Instant) from Zenkit API

Zenkit + Python

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Popular Zenkit and Python Triggers#

New Activity (Instant) from the Zenkit API

Emit new event when there is new activity in Zenkit

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New Entry (Instant) from the Zenkit API

Emit new event when a new item/entry is created in Zenkit

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New Notification (Instant) from the Zenkit API

Emit new event when there is a new notification in Zenkit

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Updated Entry (Instant) from the Zenkit API

Emit new event when an entry is updated in Zenkit

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Popular Zenkit and Python Actions#

Add Entry Comment with the Zenkit API

Add a comment to an entry/item within a list/collection on Zenkit. See the docs

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Entry with the Zenkit API

Create an entry/item in a list on Zenkit. See the docs

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Get Entry with the Zenkit API

Retrieve an entry/item from a list on Zenkit. See the docs

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Get List with the Zenkit API

Retrieve a list/collection from a workspace on Zenkit. See the docs

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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}}

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