Linear (OAuth)
Linear helps streamline software projects, sprints, tasks, and bug tracking. It's built for high-performance teams.
Integrate the Linear (OAuth) API with the Python API
Setup the Linear (OAuth) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Linear (OAuth) and Python remarkably fast. Free for developers.
Popular Ways to Connect Linear (OAuth) with Python#
Popular Linear (OAuth) and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Linear (OAuth)#
With the Linear API, you can build a variety of applications that allow users
to track their work and progress over time. For example, you could build a task
manager that allows users to track their to-do lists and progress on each task,
or a project manager that allows users to track their progress on different
projects.
Connect Linear (OAuth)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
linear: {
type: "app",
app: "linear",
}
},
async run({steps, $}) {
const data = {
"query": `{
user(id: "me") {
id
name
email
displayName
}
}`,
}
return await axios($, {
method: "post",
url: `https://api.linear.app/graphql`,
headers: {
Authorization: `Bearer ${this.linear.$auth.oauth_access_token}`,
"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#
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}}