Integrate the Cloudlayer API with the Python API

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

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Popular Cloudlayer and Python Actions#

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 Cloudlayer#

The Cloudlayer API transforms HTML or URLs into PDFs or images, enabling seamless creation of documents and screenshots programmatically. When integrated with Pipedream, you can automate document generation and distribution workflows, trigger PDF conversions based on specific actions within your apps, or archive web content as images for compliance or monitoring purposes. It's a powerful tool for generating reports, invoices, or snapshots of digital content without manual intervention.

Connect Cloudlayer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudlayer: {
      type: "app",
      app: "cloudlayer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cloudlayer.io/v2/getStatus`,
      headers: {
        "X-API-Key": `${this.cloudlayer.$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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