Elorus

Online software with time-tracking, invoicing, billing, project & expense management features for your business only.

Integrate the Elorus API with the Python API

Setup the Elorus API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Elorus 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 Elorus

The Elorus API allows you to automate and integrate your billing, invoicing, and financial management tasks. By connecting Elorus to Pipedream, you can harness its capabilities to streamline processes like invoice creation, payment tracking, and financial reporting. With Pipedream’s serverless platform, you can set up workflows that respond to events in real-time, interact with other APIs, and automate repetitive tasks without the need to manage infrastructure.

Connect Elorus

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    elorus: {
      type: "app",
      app: "elorus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.elorus.com/v1.1/contacts/`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `Token ${this.elorus.$auth.api_key}`,
        "X-Elorus-Organization": `${this.elorus.$auth.organization_id}`,
      },
    })
  },
})

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}}