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Python

Integrate the Axonaut API with the Python API

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

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Popular Axonaut and Python Actions#

Create Company with the Axonaut API

Creates a company. See documentation (Go to POST /api/v2/companies)

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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 Employee with the Axonaut API

Creates a employee. See documentation (Go to POST /api/v2/employees)

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Update Company with the Axonaut API

Updates a company. See documentation (Go to PATCH /api/v2/companies/{companYid})

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Update Employee with the Axonaut API

Updates a employee. See documentation (Go to POST /api/v2/employees)

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Overview of Axonaut#

The Axonaut API enables interaction with Axonaut's CRM and ERP features, allowing you to manage customers, invoices, quotes, and more. By building workflows on Pipedream with the Axonaut API, you can automate repetitive tasks, sync data between different systems, and create custom, scalable solutions for your business needs. Connect Axonaut to numerous other services via Pipedream to streamline your sales, accounting, and operational processes.

Connect Axonaut#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    axonaut: {
      type: "app",
      app: "axonaut",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://axonaut.com/api/v2/me`,
      headers: {
        "userApiKey": `${this.axonaut.$auth.api_key}`,
        "Accept": `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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