Moneybird

Accounting software

Integrate the Moneybird API with the Python API

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

Run Python Code with Python API on New Webhook event from Moneybird API
Moneybird + Python
 
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New Webhook event from the Moneybird API

Emit new event on each webhook event. See docs here

 
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Create Contact with the Moneybird API

Create a new contact. See docs here

 
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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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Create Quote with the Moneybird API

Create a new quote. See docs here

 
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Create Sale Invoice with the Moneybird API

Create a sale invoice. See docs here

 
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Overview of Moneybird

The Moneybird API allows you to automate your finance and accounting tasks by enabling programmatic access to your Moneybird account. With the API, you can create invoices, manage contacts, record payments, and fetch financial reports. This integration with Pipedream allows you to streamline your financial operations by connecting Moneybird with other apps and services to automate workflows, sync data, and trigger actions based on financial events.

Connect Moneybird

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    moneybird: {
      type: "app",
      app: "moneybird",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://moneybird.com/api/v2/${this.moneybird.$auth.administration_id}/users`,
      headers: {
        Authorization: `Bearer ${this.moneybird.$auth.oauth_access_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}