Hiveage

Hiveage helps freelancers and small businesses automate their online invoicing and billing.

Integrate the Hiveage API with the Python API

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

The Hiveage API empowers you to automate your invoicing and financial workflows directly within Pipedream. By leveraging this API, you can create, fetch, update, and manage invoices, clients, and payments programmatically. Imagine syncing invoice data with your CRM, triggering notifications upon receiving payments, or compiling financial reports without manual input. This seamless integration with Pipedream enables you to build custom workflows that streamline your billing cycle, enhance data consistency, and save you time.

Connect Hiveage

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    hiveage: {
      type: "app",
      app: "hiveage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.hiveage.$auth.subdomain}.hiveage.com/api/network`,
      auth: {
        username: `${this.hiveage.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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}}