Harvest
Online Time Tracking and Invoicing Software
Integrate the Harvest API with the Go API
Setup the Harvest API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Harvest and Go remarkably fast. Free for developers.
Popular Harvest and Go Triggers#
Popular Harvest and Go Actions#
Create Timesheet Entry with the Harvest API
Creates a new time entry object. Create a time entry via duration documentation, Create a time entry via start and end time documentation
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 Harvest#
The Harvest API allows developers to programmatically access data and objects
in Harvest, a web-based time tracking application. With the API, developers can
create applications that submit and retrieve time tracking data, as well as
automate various aspects of the Harvest user experience.
Some examples of what you can build using the Harvest API include:
- A time tracking application that automatically submits time tracking data to
Harvest on behalf of the user - A reporting application that retrieves time tracking data from Harvest and
presents it in various charts and graphs - An integration with a third-party project management application that pulls
in time tracking data from Harvest to provide a more complete picture of
project progress
Connect Harvest#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
harvest: {
type: "app",
app: "harvest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.harvestapp.com/v2/users/me`,
headers: {
Authorization: `Bearer ${this.harvest.$auth.oauth_access_token}`,
"Harvest-Account-Id": `${this.harvest.$auth.account_id}`,
"User-Agent": `Pipedream.com`,
},
params: {
account_id: `${this.harvest.$auth.account_id}`,
},
})
},
})
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)
}