Integrate the Fakturoid API with the Python API

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

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Popular Ways to Connect Fakturoid with Python#

Run Python Code with Python API on New Contact Added from Fakturoid API

Fakturoid + Python

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Run Python Code with Python API on New Invoice Created from Fakturoid API

Fakturoid + Python

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Run Python Code with Python API on New Invoice Updated from Fakturoid API

Fakturoid + Python

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Popular Fakturoid and Python Triggers#

New Contact Added from the Fakturoid API

Emit new event when a contact (subject) is added in Fakturoid.

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New Invoice Created from the Fakturoid API

Emit new event when a new invoice is created in Fakturoid.

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New Invoice Updated from the Fakturoid API

Emit new event when an invoice is created or updated.

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Popular Fakturoid and Python Actions#

Cancel or Uncancel Invoice with the Fakturoid API

Cancels an existing invoice or revokes previous cancellation. 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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Create Invoice with the Fakturoid API

Creates a new invoice. See the documentation

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Pay or Remove Payment for Invoice with the Fakturoid API

Executes payment for an invoice or removes an already applied payment. See the documentation

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Connect Fakturoid#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fakturoid: {
      type: "app",
      app: "fakturoid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.fakturoid.cz/api/v3/user.json`,
      headers: {
        Authorization: `Bearer ${this.fakturoid.$auth.oauth_access_token}`,
      },
    })
  },
})

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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