with Stack Exchange (Stack Overflow) and Go?
Emits an event when a new answer is posted in one of the specified questions
Emits an event when a new answer is posted by one of the specified users
Emits an event when a new question is posted and related to a set of specific keywords
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Stack Exchange API provides programmatic access to Stack Overflow and other sites on the Stack Exchange network. With this API, you can fetch questions, answers, comments, user profiles, and other data that enables you to integrate Stack Exchange's wealth of knowledge and community activities into your own applications. Using Pipedream, you can harness this data to create custom workflows that react to events on Stack Exchange, compile reports, or even automate interactions, providing a powerful tool for developers, data analysts, and content creators.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
stack_exchange: {
type: "app",
app: "stack_exchange",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.stackexchange.com/2.2/me`,
headers: {
Authorization: `Bearer ${this.stack_exchange.$auth.oauth_access_token}`,
},
params: {
site: `stackoverflow`,
access_token: `${this.stack_exchange.$auth.oauth_access_token}`,
key: `qM6Y7e57HJiAO3V7pHSbLw((`,
},
})
},
})
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.
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)
}