Integrate the PDFMonkey API with the Python API

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

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Popular Ways to Connect PDFMonkey with Python#

Run Python Code with Python API on New Document Generated from PDFMonkey API

PDFMonkey + Python

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Popular PDFMonkey and Python Triggers#

New Document Generated from the PDFMonkey API

Emit new event when a document's generation is completed.

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Popular PDFMonkey and Python Actions#

Delete Document with the PDFMonkey API

Deletes a specific document using its ID. 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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Find Document with the PDFMonkey API

Find a document within PDFMonkey. See the documentation

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Generate Document with the PDFMonkey API

Generates a new document using a specified template. See the documentation

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Overview of PDFMonkey#

The PDFMonkey API on Pipedream allows you to automate the creation of PDF documents from dynamic data sources. You can generate invoices, reports, tickets, or any customized document based on templates you define. With Pipedream’s serverless platform, you can trigger PDF generation from a multitude of events, such as form submissions, scheduled times, or changes in a database, and then perform actions like sending these PDFs via email, storing them in cloud storage, or updating records in a CRM.

Connect PDFMonkey#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pdfmonkey: {
      type: "app",
      app: "pdfmonkey",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pdfmonkey.io/api/v1/current_user`,
      headers: {
        Authorization: `Bearer ${this.pdfmonkey.$auth.api_key}`,
      },
    })
  },
})

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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