Linear (API key)

Linear helps streamline software projects, sprints, tasks, and bug tracking. It's built for high-performance teams.

Integrate the Linear (API key) API with the Python API

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

Run Python Code with Python API on Issue Created (Instant) from Linear (API key) API
Linear (API key) + Python
 
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Run Python Code with Python API on Issue Updated (Instant) from Linear (API key) API
Linear (API key) + Python
 
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Run Python Code with Python API on New Created Comment (Instant) from Linear (API key) API
Linear (API key) + Python
 
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Run Python Code with Python API on New Issue Status Updated (Instant) from Linear (API key) API
Linear (API key) + Python
 
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New Created Comment (Instant) from the Linear (API key) API

Emit new event when a new comment is created. See the docs here

 
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New Created Issue (Instant) from the Linear (API key) API

Emit new event when a new issue is created. See the docs here

 
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New Issue Status Updated (Instant) from the Linear (API key) API

Emit new event when the status of an issue is updated. See the docs here

 
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New Updated Issue (Instant) from the Linear (API key) API

Emit new event when an issue is updated. See the docs here

 
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Create Issue with the Linear (API key) API

Create an issue (API Key). See the 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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Get Issue with the Linear (API key) API

Get an issue by ID (API Key). See the docs here

 
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Get Teams with the Linear (API key) API

Get all the teams (API Key). See the docs here

 
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Search Issues with the Linear (API key) API

Search issues (API Key). See the docs here

 
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Overview of Linear (API key)

With the Linear API, you can manage your workflow, track issues, and automate
your development process. Here are some examples of what you can build:

  • A custom workflow management tool
  • A tool to track issues and feature requests
  • A development process automation tool

Connect Linear (API key)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    linear_app: {
      type: "app",
      app: "linear_app",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{ 
        user(id: "me") {
          id
          email
          name
        }
      }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.linear.app/graphql`,
      headers: {
        "Authorization": `${this.linear_app.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}