Leading project, task and time management software! ProWorkflow is an online project management software that enables you to keep accurate time-keeping records, organize, plan, and delegate jobs and tasks whilst using the timeline to have an overview of company activity.
Emit new event when a new comapny is created. See the docs.
Emit new event when a new contact is created. See the docs.
Emit new event when a new project is created. See the docs.
The ProWorkflow API offers a powerhouse of project management and workflow automation capabilities. With Pipedream, you can leverage these abilities to create custom integrations that boost productivity and streamline operations. By tapping into ProWorkflow's endpoints, you can automate project creation, task assignments, time tracking, and report generation. This API dovetails neatly with other apps on Pipedream, allowing you to create multifaceted workflows that respond in real-time to external triggers, such as emails, form submissions, and calendar events.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
proworkflow: {
type: "app",
app: "proworkflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.proworkflow.net/me`,
headers: {
"apikey": `${this.proworkflow.$auth.api_key}`,
},
auth: {
username: `${this.proworkflow.$auth.username}`,
password: `${this.proworkflow.$auth.password}`,
},
})
},
})
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)
}