BigData Cloud provides the industry’s most performant, scalable and flexible APIs. Built for eCommerce, Ad Agencies, Financial Institution, Saas, CRM Systems.
Retrieve time zone data for a specified location. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Obtain a user's location data based on their IP address. See the documentation
Convert a user's coordinates to a human-readable address. See the documentation
The Big Data Cloud API provides a suite of RESTful APIs for IP geolocation and various other data services that can enrich your applications with valuable insights. On Pipedream, you can integrate these APIs into serverless workflows to automate data collection, analysis, and decision-making processes. Whether you're looking to enhance user experience with location-based content, validate user data, or perform any number of data-enrichment tasks, Big Data Cloud can be a go-to resource within your Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
big_data_cloud: {
type: "app",
app: "big_data_cloud",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-bdc.net/data/country-by-ip`,
params: {
key: `${this.big_data_cloud.$auth.api_key}`,
},
})
},
})
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)
}