Craftboxx: Streamlining craftsmen's work with our innovative software. Offering job scheduling, documentation, and time recording tools.
Emit new event when a new appointment is created in Craftboxx. See the documentation
Emit new event when a new customer is created in Craftboxx. See the documentation
Emit new event when a new project is created in Craftboxx. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new customer along with their mailing address in Craftboxx. See the documentation
Applies updates to a project and its corresponding appointment in Craftboxx. See the documentation
The Craftboxx API allows users to integrate various features of the Craftboxx project management solution into their workflows. With this API, you can automate tasks related to project planning, resource allocation, time tracking, and document management. On Pipedream, you can tap into the Craftboxx API to create customized, serverless workflows that respond to events in real time. This enables businesses to streamline operations, reduce manual data entry, and improve coordination between teams.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
craftboxx: {
type: "app",
app: "craftboxx",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.craftboxx.de/my/employee`,
headers: {
Authorization: `Bearer ${this.craftboxx.$auth.oauth_access_token}`,
"Accept": `*/*`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}