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.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
Try it

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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo