Integrate the CraftMyPDF API with the Python API

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

Popular CraftMyPDF and Python Actions#

Create Editor Session with the CraftMyPDF API

Create a new PDF editor session. The PDF editor url can be embedded into an IFrame. 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 Image with the CraftMyPDF API

Create a new image. See the documentation

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Create PDF with the CraftMyPDF API

Create a new pdf. See the documentation

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Merge PDF with the CraftMyPDF API

Create a PDF file from multiple templates. It merges all the PDFs into one. See the documentation

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Overview of CraftMyPDF#

CraftMyPDF is a powerful API that allows you to create dynamic and customizable PDF documents. By leveraging this API on Pipedream, you can automate the generation of invoices, reports, tickets, and any other document that requires a polished and professional look. Pipedream's serverless platform enables you to connect CraftMyPDF with numerous apps to create workflows that trigger PDF generation from events like form submissions, new database entries, or scheduled jobs.

Connect CraftMyPDF#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    craftmypdf: {
      type: "app",
      app: "craftmypdf",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.craftmypdf.com/v1/list-templates`,
      headers: {
        "X-API-KEY": `${this.craftmypdf.$auth.api_key}`,
        "Content-Type": `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}}