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with Linear (API key) and Python?
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Popular Ways to Connect Linear (API key) with Python#
Popular Linear (API key) and Python Triggers#
Triggers instantly when a new issue is created in Linear. Provides complete issue details including title, description, team, assignee, state, and timestamps. Supports filtering by team and project. See Linear docs for additional info here
Triggers instantly when a project update (status report) is created in Linear. Returns update content, author, project details, and health status. Filters by team and optionally by project. See Linear docs for additional info here
Popular Linear (API key) 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 (API key)#
Linear helps streamline software project management, bug tracking, and task coordination. By using the Linear (API key) API with Pipedream, you can automate routine tasks, sync issues across platforms, and trigger custom workflows. Think auto-assignment of tasks based on specific triggers or pushing updates to a Slack channel when an issue's status changes. These automations save time and ensure that your development team stays focused on coding rather than on administrative overhead.
Connect Linear (API key)#
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#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies