Integrate the ScreenshotOne API with the Python API

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

Popular ScreenshotOne and Python Actions#

Take Animated Screenshot with the ScreenshotOne API

Takes and returns an animated screenshot of the given site with specified options. 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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Take Screenshot with the ScreenshotOne API

Takes and returns a screenshot of the given site with specified options. See the documentation

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Overview of ScreenshotOne #

ScreenshotOne API allows you to capture screenshots of web pages programmatically. It's a powerful tool you can leverage within Pipedream workflows to automate the process of taking screenshots, whether it's for archiving content, monitoring changes on websites, or capturing data for reporting. By combining ScreenshotOne with Pipedream's capabilities, you can easily integrate screenshot functionalities into multifaceted workflows, triggering actions in other apps, storing images, or processing the data further.

Connect ScreenshotOne #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    screenshotone: {
      type: "app",
      app: "screenshotone",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.screenshotone.com/take`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        url: `{{your_url}}`,//such as https://pipedream.com
        access_key: `${this.screenshotone.$auth.access_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}}