Lexoffice
Lexoffice is the online accounting software from Lexware. Regardless of whether you are writing an invoice or making an offer. Access to your numbers from anywhere, web-based and via app.
Integrate the Lexoffice API with the Python API
Setup the Lexoffice API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Lexoffice and Python remarkably fast. Free for developers.
Popular Lexoffice and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Lexoffice#
The Lexoffice API provides a suite of accounting tools that can automate various financial tasks for businesses using Pipedream. With this API, you can create invoices, manage contacts, track expenses, and handle accounting documents programmatically. Pipedream's serverless platform enables you to integrate Lexoffice with hundreds of other apps, allowing for streamlined workflows that can trigger actions in Lexoffice or respond to events from Lexoffice in real-time.
Connect Lexoffice#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lexoffice: {
type: "app",
app: "lexoffice",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.lexoffice.io/v1/contacts`,
headers: {
Authorization: `Bearer ${this.lexoffice.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}