Workast

Task and project management app for teams on Slack

Integrate the Workast API with the Python API

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

Run Python Code with Python API on New Task from Workast API
Workast + Python
 
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New Task from the Workast API

Emit new event for each new task

 
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Create Space with the Workast API

Creates a space. See docs here

 
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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 Task with the Workast API

Creates a task. See docs here

 
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Overview of Workast

The Workast API enables the automation of task management in your projects, allowing the creation, update, and tracking of tasks without leaving the context of your current workflow. With the Workast API on Pipedream, you can tap into this functionality to build seamless integrations and automate repetitive actions, such as syncing tasks across multiple platforms, generating reports, or triggering reminders and notifications based on specific task events.

Connect Workast

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workast: {
      type: "app",
      app: "workast",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.todobot.io/user/me`,
      headers: {
        Authorization: `Bearer ${this.workast.$auth.api_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

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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}}