Integrate the PDF-app.net API with the Python API

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

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Popular PDF-app.net and Python Actions#

Compress PDF with the PDF-app.net API

Compress a PDF File with PDF-app.net. 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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Image to PDF with the PDF-app.net API

Convert an image from a URL to a PDF File with PDF-app.net. See the documentation

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Split PDF with the PDF-app.net API

Split a PDF into multiple PDFs containing the specified number of pages. See the documentation

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Connect PDF-app.net#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pdf_app_net: {
      type: "app",
      app: "pdf_app_net",
    }
  },
  async run({steps, $}) {
    const data = {
      "fileUrl": `https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf`,
      "pagesPerSplit": `1`,
      "async": `false`,
      "fileName": `MyPDF`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.pdf-app.net/splitt_PDF`,
      headers: {
        "Authorization": `${this.pdf_app_net.$auth.api_key}`,
      },
      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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