BrandMentions
BrandMentions is the most effective method of monitoring your brand or product on the Internet.
Integrate the BrandMentions API with the Go API
Setup the BrandMentions API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate BrandMentions and Go remarkably fast. Free for developers.
Popular BrandMentions 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 BrandMentions#
The BrandMentions API lets you monitor and engage with online conversations about your brand in real-time. It provides insights into brand mentions across various channels, including social media, blogs, forums, and news sites. Pipedream serves as a powerful platform, enabling you to build automated workflows that respond to brand mentions, giving you the ability to track sentiment, identify influencers, and manage your brand’s online reputation efficiently.
Connect BrandMentions#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
brandmentions: {
type: "app",
app: "brandmentions",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.brandmentions.com/command.php`,
params: {
command: `ListProjects`,
api_key: `${this.brandmentions.$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)
}