Integrate the Pdfless API with the Python API

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

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Popular Pdfless and Python Actions#

Create a PDF document with the Pdfless API

Create a PDF document based on selected template identifier and defined payload. 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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Overview of Pdfless#

The Pdfless API provides a suite of tools for creating and manipulating PDF documents, enabling users to generate PDFs from HTML, merge multiple PDFs into one, split a PDF into separate files, and convert PDFs to other formats. By incorporating the Pdfless API into Pipedream workflows, you can automate document processing tasks, streamline data extraction, and integrate with other services to manage documents as part of larger business processes.

Connect Pdfless#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pdfless: {
      type: "app",
      app: "pdfless",
    }
  },
  async run({steps, $}) {
    const data = {
      "template_id": `[your_template_id]`,
      "payload": `{ "Company": "Company & co" } }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.pdfless.com/v1/pdfs`,
      headers: {
        "apikey": `${this.pdfless.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      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}}

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