Formerly Infogroup. We heart #data, probably because that's our specialty.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Find relevant listings in the database. See the docs here
Data Axle Platform API gives you access to rich datasets encompassing business, consumer, and donor information. It can empower your Pipedream workflows to execute potent data-driven strategies, such as enriching leads, verifying business details, and tailoring marketing campaigns based on demographic insights. You can tap into this well of information, integrate it with other apps, and automate actions based on the data you query.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
data_axle_platform: {
type: "app",
app: "data_axle_platform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.data-axle.com/v1/places/search`,
headers: {
"X-AUTH-TOKEN": `${this.data_axle_platform.$auth.api_token}`,
},
params: {
query: `{your_query}`,
packages: `standard_v1`,
},
})
},
})
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)
}