neetoinvoice

Simple invoicing and time tracking tool. It's forever free.

Integrate the neetoinvoice API with the Python API

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

Run Python Code with Python API on New Client (Instant) from neetoinvoice API
neetoinvoice + Python
 
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Run Python Code with Python API on New Invoice (Instant) from neetoinvoice API
neetoinvoice + Python
 
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New Client (Instant) from the neetoinvoice API

Emit new event every time there is a new client in neetoInvoice. See the documentation

 
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New Invoice (Instant) from the neetoinvoice API

Emit new event when there is a new invoice. See the documentation

 
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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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Overview of neetoinvoice

The neetoinvoice API facilitates the creation and management of invoices, allowing users to seamlessly generate, send, and track invoices directly through their API. Integrating neetoinvoice with Pipedream opens up a realm of possibilities for automating your invoice-related workflows. With Pipedream, you can connect neetoinvoice to a multitude of apps to create custom, serverless workflows that can handle events like invoice creation, payment updates, and sending reminders, all managed with a user-friendly interface.

Connect neetoinvoice

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    neetoinvoice: {
      type: "app",
      app: "neetoinvoice",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.neetoinvoice.$auth.organization_name}.neetoinvoice.com/api/v1/neeto_integrations/zapier/clients`,
      headers: {
        "Authorization": `Basic ${this.neetoinvoice.$auth.api_key}`,
      },
    })
  },
})

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}}