Integrate the DocRaptor API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular DocRaptor 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 DocRaptor#

DocRaptor is an API that converts HTML to PDF or XLS(X). Using DocRaptor with Pipedream allows you to automate document generation within your custom workflows. With Pipedream's serverless platform, you can trigger document creation from a multitude of events, process the data, and integrate it with countless apps to create dynamic, on-demand documents. Whether you need to generate invoices, reports, or any other documents, you can set up a pipeline that does the heavy lifting for you.

Connect DocRaptor#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    docraptor: {
      type: "app",
      app: "docraptor",
    }
  },
  async run({steps, $}) {
    const data = {
      "type": `pdf`,
      "document_content": `<html><body>Hello World!</body></html>`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.docraptor.com/docs`,
      auth: {
        username: `${this.docraptor.$auth.api_key}`,
        password: ``,
      },
      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}}

Start for free — no credit card required

Watch a demo