Integrate the Adobe PDF Services API with the Python API

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

Popular Adobe PDF Services and Python Actions#

Extract Text and Tables From PDF with the Adobe PDF Services API

Extracts text and table element information from a PDF document and returns a JSON file along with table data in XLSX format within a .zip file saved to the /tmp directory. 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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Extract Text From PDF with the Adobe PDF Services API

Extracts text element information from a PDF document and returns a JSON file within a .zip file saved to the /tmp directory. See the documentation

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Overview of Adobe PDF Services#

The Adobe PDF Services API provides a robust set of tools for manipulating and managing PDF files. With this API, you can create, convert, combine, export, and manipulate PDFs directly in Pipedream. The Pipedream platform enables you to build automated workflows that can interact with this API to streamline document-centric processes, such as generating reports, archiving files, or extracting data from PDFs into other formats.

Connect Adobe PDF Services#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adobe_pdf_services: {
      type: "app",
      app: "adobe_pdf_services",
    }
  },
  async run({steps, $}) {
    const data = {
      "mediaType": `application/pdf`,
    }
    return await axios($, {
      method: "post",
      url: `https://pdf-services.adobe.io/assets`,
      headers: {
        Authorization: `Bearer ${this.adobe_pdf_services.$auth.oauth_access_token}`,
        "x-api-key": `${this.adobe_pdf_services.$auth.client_id}`,
        "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}}