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 Go API
Setup the Linear (OAuth) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Linear (OAuth) and Go remarkably fast. Free for developers.
Popular Ways to Connect Linear (OAuth) with Go#
Popular Linear (OAuth) and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Linear (OAuth)#
Linear (OAuth) API provides access to Linear's issue tracking and project management capabilities, letting you automate tasks, synchronize data across platforms, and enhance your team's productivity. Whether you're reporting bugs, assigning tasks, or tracking progress, the Linear API on Pipedream allows for real-time, event-driven workflows that can increase efficiency and foster collaboration within teams.
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 Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}