Integrate the QuickBooks API with the Python API

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

Popular QuickBooks and Python Actions#

Create Bill with the QuickBooks API

Creates a bill. 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 Customer with the QuickBooks API

Creates a customer. See docs here

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Create Invoice with the QuickBooks API

Creates an invoice. See docs here

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Create Payment with the QuickBooks API

Creates a payment. See docs here

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Overview of QuickBooks#

The QuickBooks API allows for streamlined financial management within Pipedream's ecosystem, enabling automated accounting and data syncing across various platforms. With this API, you can manipulate invoices, manage sales receipts, handle expenses, and synchronize customer data. It's a robust tool for financial oversight and automation that can save time and reduce errors for businesses of all sizes.

Connect QuickBooks#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    quickbooks: {
      type: "app",
      app: "quickbooks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://quickbooks.api.intuit.com/v3/company/${this.quickbooks.$auth.company_id}/companyinfo/${this.quickbooks.$auth.company_id}`,
      headers: {
        Authorization: `Bearer ${this.quickbooks.$auth.oauth_access_token}`,
        "accept": `application/json`,
        "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#

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}}