The World News API gives you access to thousands of news sources in over 50 languages from over 150 countries.
Emit new event whenever recent news are published. Calling this endpoint requires 1 point per page, up to 1000 news. See the docs here
Extract a news article from a website to a well structure JSON object. See the docs here. Calling this endpoint requires 1 point, plus 2 points if analyze is true.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Retrieve the latitude and longitude of a location name. See the docs here. Calling this endpoint requires 1 point.
Search and filter news. See the docs here. Calling this endpoint requires 1 point
The World News API provides access to news articles from around the world in real-time. With it, you can fetch the latest news by category, country, language, and keyword. In Pipedream, this powerful API integrates into workflows, allowing you to automate actions based on current events, monitor specific topics, and even enrich your applications with timely content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
world_news_api: {
type: "app",
app: "world_news_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.worldnewsapi.com/search-news`,
params: {
"api-key": `${this.world_news_api.$auth.api_key}`,
text: `{your_text}`,
},
})
},
})
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)
}