Zenkit
Productivity and Collaboration Software Suite
Integrate the Zenkit API with the Go API
Setup the Zenkit API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Zenkit and Go remarkably fast. Free for developers.
Popular Zenkit and Go Triggers#
Popular Zenkit and Go Actions#
Add Entry Comment with the Zenkit API
Add a comment to an entry/item within a list/collection on Zenkit. See the docs
Run Go Code with the Go API
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 Zenkit#
Zenkit is a powerful online database and project management tool used by
thousands of businesses and organizations worldwide. It provides a wide range
of tools and data management capabilities, along with its own API that allows
developers and companies to build custom applications and integrations. With
the Zenkit API, you can build:
- Collaborative to-do lists and productivity apps
- Custom reports and dashboards
- Event booking platforms
- Team collaboration tools
- Automated notifications and alerts
- Task management systems
- Data mining and analysis software
- Inventory tracking systems
- CRM and customer data management platforms
- Online shopping carts and payment systems
- Cloud-based file storage and sharing services
- Mobile application development platforms
- Digital marketing and analytics solutions
Connect Zenkit#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zenkit: {
type: "app",
app: "zenkit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://zenkit.com/api/v1/users/me`,
headers: {
Authorization: `Bearer ${this.zenkit.$auth.oauth_access_token}`,
},
})
},
})
Connect Go#
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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)
}