Stack Exchange

Community-powered Q&A sites

Integrate the Stack Exchange API with the Go API

Setup the Stack Exchange API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Stack Exchange and Go remarkably fast. Free for developers.

Run Go Code with Go API on New Answers for Specific Questions from Stack Exchange API
Stack Exchange + Go
 
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Run Go Code with Go API on New Answers from Specific Users from Stack Exchange API
Stack Exchange + Go
 
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Run Go Code with Go API on New Question for Specific Keywords from Stack Exchange API
Stack Exchange + Go
 
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New Answers for Specific Questions from the Stack Exchange API

Emits an event when a new answer is posted in one of the specified questions

 
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New Answers from Specific Users from the Stack Exchange API

Emits an event when a new answer is posted by one of the specified users

 
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New Question for Specific Keywords from the Stack Exchange API

Emits an event when a new question is posted and related to a set of specific keywords

 
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Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
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Connect Stack Exchange

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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((`,
      },
    })
  },
})

Connect Go

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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)
}