Integrate the LinearB API with the Python API

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

Popular Ways to Connect LinearB with Python#

Run Python Code with Python API on New Deploy Created from LinearB API

LinearB + Python

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Popular LinearB and Python Triggers#

New Deploy Created from the LinearB API

Emit new event when a new deploy is created in LinearB. See the documentation

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Popular LinearB and Python Actions#

Create Incident with the LinearB API

Create a new incident within the LinearB platform. 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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Overview of LinearB#

The LinearB API serves as a bridge between LinearB's project management insights and your preferred platforms, offering the ability to automate workflows, generate reports, and trigger actions based on project metrics. With Pipedream, these capabilities can be harnessed to create custom workflows that respond to events within LinearB, such as changes in project status or team performance metrics. The data can be pushed to various services, such as communication tools, databases, or other project management apps to enhance visibility and coordination across your team.

Connect LinearB#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    linearb: {
      type: "app",
      app: "linearb",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://public-api.linearb.io/api/v1/deployments`,
      headers: {
        "x-api-key": `${this.linearb.$auth.api_key}`,
      },
    })
  },
})

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}}