Integrate the LessAccounting API with the Python API

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

Popular LessAccounting and Python Actions#

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 LessAccounting#

The LessAccounting API allows you to automate accounting tasks by providing endpoints for managing transactions, invoices, expenses, and contacts. Pipedream’s serverless platform leverages this by enabling you to create workflows that can respond to events, process data, and integrate with other apps. With Pipedream, you can craft custom automation sequences, sync data across applications, and build powerful integrations without managing infrastructure.

Connect LessAccounting#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lessaccounting: {
      type: "app",
      app: "lessaccounting",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.lessaccounting.$auth.business}.lessaccounting.com/businesses/get_businesses.json`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.lessaccounting.$auth.email}`,
        password: `${this.lessaccounting.$auth.password}`,
      },
      params: {
        api_key: `${this.lessaccounting.$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}}