Zenkit

Productivity and Collaboration Software Suite

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.

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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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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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 powerful online database and project management tool used by
thousands of businesses and organizations worldwide. It provides a wide range
of tools and data management capabilities, along with its own API that allows
developers and companies to build custom applications and integrations. With
the Zenkit API, you can build:

  • Collaborative to-do lists and productivity apps
  • Custom reports and dashboards
  • Event booking platforms
  • Team collaboration tools
  • Automated notifications and alerts
  • Task management systems
  • Data mining and analysis software
  • Inventory tracking systems
  • CRM and customer data management platforms
  • Online shopping carts and payment systems
  • Cloud-based file storage and sharing services
  • Mobile application development platforms
  • Digital marketing and analytics solutions

Connect Zenkit

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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

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}