Integrate the Cloudmersive API with the Python API

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

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Popular Cloudmersive and Python Actions#

Convert to PDF with the Cloudmersive API

Convert Office Word Documents (docx) to PDF See docs here

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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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Screenshot Website with the Cloudmersive API

Take a screenshot of a website See docs here

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Validate Email Address with the Cloudmersive API

Validate an email address See docs here

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Overview of Cloudmersive#

The Cloudmersive API provides powerful tools for handling tasks like document conversion, data validation, virus scanning, and natural language processing. Integrating Cloudmersive with Pipedream allows you to automate complex processes with these abilities as triggers or steps in multi-stage workflows. This integration empowers you to streamline operations like sanitizing uploads before they hit your storage, parsing and converting user-submitted documents on-the-fly, or enhancing user engagement by leveraging language utilities.

Connect Cloudmersive#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudmersive: {
      type: "app",
      app: "cloudmersive",
    }
  },
  async run({steps, $}) {
    const data = {
      "value": `support@cloudmersive.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.cloudmersive.com/validate/email/address/syntaxOnly`,
      headers: {
        "Apikey": `${this.cloudmersive.$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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