Integrate the faktoora API with the Python API

Setup the faktoora API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate faktoora and Python remarkably fast. Free for developers.

Popular faktoora and Python Actions#

Create Invoice with the faktoora API

Create a new ZUGFeRD/xrechnung invoice. See the documentation

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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.

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Download Invoice with the faktoora API

Download an invoice using the unique invoice number to '/tmp' folder. See the documentation

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Overview of faktoora#

The faktoora API offers a suite of tools for managing invoices and financial documents within applications. By integrating this API with Pipedream, you can automate tasks related to invoice creation, retrieval, and management, streamlining your financial operations. Pipedream's serverless execution model allows the API's capabilities to be woven into custom workflows that trigger on various events, process data, and connect to countless other apps to create powerful automations.

Connect faktoora#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    faktoora: {
      type: "app",
      app: "faktoora",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.faktoora.$auth.environment}.faktoora.com/api/v1/apikeys/`,
      headers: {
        " X-API-KEY": `${this.faktoora.$auth.api_key}`,
      },
    })
  },
})

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}}