Integrate the Carbone API with the Python API

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

Popular Carbone and Python Actions#

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.

Try it

Overview of Carbone#

The Carbone API provides a powerful solution for automating the generation and transformation of documents. With Carbone, you can dynamically create PDFs, Excel files, and more by injecting data into templates. On Pipedream, you can integrate Carbone into serverless workflows, tapping into its capabilities to automate document customization and distribution. Integrating Carbone into Pipedream workflows allows you to leverage data from various sources, transform it on-the-fly, and produce documents tailored for clients, reports, or any personalized content.

Connect Carbone#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    carbone: {
      type: "app",
      app: "carbone",
    }
  },
  async run({steps, $}) {
    const data = {
      "template": `SGVsbG8gd29ybGQsIHRoaXMgaXMgbXkgUGlwZWRyZWFtIHRlbXBsYXRlLg==`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.carbone.io/template`,
      headers: {
        Authorization: `Bearer ${this.carbone.$auth.production_api_key}`,
        "carbone-version": `4`,
        "carbone-template-delete-after": `86400`,
      },
      data,
    })
  },
})

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}}