Unlock Location Data
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Placekey API is a powerful tool for standardizing and enriching location data. With Placekey, you can translate addresses or points of interest into a unique, universal location identifier, making it easier to integrate and compare data across different databases or platforms. On Pipedream, you can leverage this API to automate tasks that require precise location matching, enrichment, and deduplication, thus enhancing data analysis, business intelligence, marketing campaigns, and logistic operations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
placekey: {
type: "app",
app: "placekey",
}
},
async run({steps, $}) {
const data = {
query: {
city: [CITY],
region: [REGION],
street_address: [STREET_ADDRESS],
postal_code: [POSTAL_CODE],
iso_country_code: [ISO_COUNTRY_CODE]
},
options: {
strict_name_match: false,
},
}
return await axios($, {
method: "post",
url: `https://api.placekey.io/v1/placekey`,
headers: {
"apikey": `${this.placekey.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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)
}