Integrate the Hive API with the Python API

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

Popular Ways to Connect Hive with Python#

Run Python Code with Python API on New Action Created from Hive API

Hive + Python

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Run Python Code with Python API on New Action Updated from Hive API

Hive + Python

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Popular Hive and Python Triggers#

New Action Created from the Hive API

Emit new event when a new action is created.

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New Action Updated from the Hive API

Emit new event when an action is updated.

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Popular Hive and Python Actions#

Create Action For Project with the Hive API

Create an action for given project See the documentation

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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 Action For Workspace with the Hive API

Create an action for given workspace See the documentation

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Overview of Hive#

The Hive API allows for robust interaction with Hive's project and team management tools. By leveraging the Hive API within Pipedream, you can automate tasks, sync data across platforms, and create custom workflows that enhance productivity. For instance, you could automate project creation, update task statuses, or sync information to other business tools. Pipedream's serverless platform simplifies integration, enabling you to focus on crafting workflows without worrying about infrastructure.

Connect Hive#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hive: {
      type: "app",
      app: "hive",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.hive.com/api/v1/users`,
      params: {
        api_key: `${this.hive.$auth.api_key}`,
        user_id: `${this.hive.$auth.user_id}`,
      },
    })
  },
})

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}}