BC Gov News

Government of British Columbia providing you with current news & info.

Integrate the BC Gov News API with the Go API

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

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.

 
Try it

Overview of BC Gov News

The BC Gov News API provides programmatic access to government news releases, stories, and resources in British Columbia. Leveraging this API on Pipedream allows for the automation of monitoring, distributing, and analyzing news content from the BC government. Developers can create workflows to keep track of the latest updates in various sectors, filter news based on specific interests or keywords, and integrate with other services to disseminate information efficiently.

Connect BC Gov News

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bc_gov_news: {
      type: "app",
      app: "bc_gov_news",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://news.api.gov.bc.ca//api/Newsletters`,
      params: {
        "api-version": `1.0`,
      },
    })
  },
})

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

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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)
}