Alegra

Alegra is an accounting and billing app designed for Latin American managers.

Integrate the Alegra API with the Python API

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

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 Alegra

Alegra API allows for the automation and integration of accounting and financial tasks within Alegra's software platform. Through the API, developers can create, read, update, and delete information related to invoices, clients, products, services, and more. Essentially, it's a way to streamline financial operations, ensure data accuracy, and free up time from manual data entry by connecting Alegra to other business tools and services.

Connect Alegra

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alegra: {
      type: "app",
      app: "alegra",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.alegra.com/api/v1/users/self`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.alegra.$auth.user_email}`,
        password: `${this.alegra.$auth.access_token}`,
      },
    })
  },
})

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}}