Integrate the Urlbox.io API with the Python API

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

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Popular Urlbox.io and Python Actions#

Generate Screenshot From HTML with the Urlbox.io API

Generate a screenshot of a website provided by a html. See the 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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Generate Screenshot From URL with the Urlbox.io API

Generate a screenshot of a website provided by a url. See the docs here

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Overview of Urlbox.io#

The Urlbox.io API lets you capture live, high-quality screenshots of web pages programmatically, offering a range of customization options such as setting the viewport size, format, and full-page capture. On Pipedream, this powerful tool can be integrated into workflows to automate screenshot capture for archiving, monitoring, and reporting tasks, or as part of a larger data collection and analysis pipeline.

Connect Urlbox.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    urlbox_io: {
      type: "app",
      app: "urlbox_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.urlbox.io/v1/${this.urlbox_io.$auth.publishable_key}/png`,
      params: {
        url: `pipedream.com`,
      },
    })
  },
})

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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