SportsData
Real time data provider syndicating scores, stats, odds, projections, news & images
Integrate the SportsData API with the Go API
Setup the SportsData API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate SportsData and Go remarkably fast. Free for developers.
Popular SportsData 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 SportsData#
SportsData API serves up real-time and historical sports data including scores, odds, projections, stats, and news across a variety of sports leagues. By leveraging Pipedream, you can create custom workflows that respond to this data in real-time, integrating with a multitude of other services to automate notifications, data analysis, and content creation.
Connect SportsData#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sportsdata: {
type: "app",
app: "sportsdata",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sportsdata.io/v3/cbb/scores/json/AreAnyGamesInProgress`,
params: {
key: `${this.sportsdata.$auth.api_key}`,
},
})
},
})
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)
}