Integrate the Zoho Books API with the Python API

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

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Popular Zoho Books and Python Actions#

Create Customer Payment with the Zoho Books API

Creates a new 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 Employee with the Zoho Books API

Creates an employee for an expense.

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Create Invoice with the Zoho Books API

Creates an invoice for your customer.

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Create Item with the Zoho Books API

Creates a new item.

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Overview of Zoho Books#

Zoho Books API unlocks the potential to automate and streamline accounting tasks by integrating with Pipedream's serverless platform. With this powerful combo, you can automate invoicing, manage your accounts, reconcile bank transactions, and handle contacts and items without manual input. By setting up event-driven workflows, you can ensure data consistency across platforms, trigger notifications, and generate reports, all while saving time and reducing human error.

Connect Zoho Books#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zoho_books: {
      type: "app",
      app: "zoho_books",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.zoho_books.$auth.api_domain}/books/v3/users/me`,
      headers: {
        "Authorization": `Zoho-oauthtoken ${this.zoho_books.$auth.oauth_access_token}`,
      },
      params: {
        organization_id: `${this.zoho_books.$auth.organization_id}`,
      },
    })
  },
})

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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