Zerys
Integrate the Zerys API with the Go API
Setup the Zerys API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Zerys and Go remarkably fast. Free for developers.
Popular Zerys 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 Zerys#
The Zerys API is a powerful software development platform that can be used to
create a variety of applications. With Zerys, developers can create innovative
software Tools, Applications and APIs (Application Programming Interfaces)
tailored to specific needs.
Zerys provides businesses with a fast and reliable cloud platform for creating
high quality software solutions at scale. The platform supports a wide range of
well-defined and intuitive APIs that make integrating applications with other
services and products effortless. Zerys provides a comprehensive set of tools
for quickly designing, building, and testing new applications.
Furthermore, Zerys enables developers to rapidly deploy hosted applications
using fully-managed services, allowing businesses to take advantage of the
latest technologies quickly and efficiently.
Below are a few examples of what you can create using the Zerys API:
- Content Management Systems
- Social Media Tools
- Mobile Applications
- Custom Dashboards
- Automation Workflows
- Online Stores
- Data Analysis Platforms
- Interactivity Integrations
- Serverless Applications
Connect Zerys#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zerys: {
type: "app",
app: "zerys",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.zerys.com/v1/content/getcontent`,
headers: {
Authorization: `Bearer ${this.zerys.$auth.oauth_access_token}`,
"Title_id": ``,
},
})
},
})
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)
}