Integrate the Quickbooks Sandbox API with the Python API

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

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Popular Quickbooks Sandbox and Python Actions#

Create Bill Payment with the Quickbooks Sandbox API

Creates a bill payment.

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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 Sandbox API

Creates a customer.

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Create Invoice with the Quickbooks Sandbox API

Creates an invoice.

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Create Purchase with the Quickbooks Sandbox API

Creates a purchase.

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Overview of Quickbooks Sandbox#

QuickBooks Sandbox API provides a robust platform for developers to test QuickBooks Online integrations without affecting live data. With Pipedream, you can harness this API to automate various accounting tasks, simulate financial scenarios, or validate app behavior pre-deployment. Imagine syncing invoice statuses with your CRM, triggering alerts based on financial thresholds, or reconciling payments programmatically—all in a safe, isolated environment before going live.

Connect Quickbooks Sandbox#

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

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