GetScreenshot

GetScreenshot is a powerful programmable API that allows you to do screenshot operations at scale and for less than the existing solutions.

Integrate the GetScreenshot API with the Python API

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

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.

 
Try it

Overview of GetScreenshot

The GetScreenshot API is a potent tool for capturing webpage snapshots programmatically. Integrating GetScreenshot with Pipedream opens up a plethora of automation possibilities, from monitoring website updates in real-time to generating visual reports for clients. With Pipedream, you can create workflows that trigger screenshots based on specific events, store or send them to stakeholders, and even analyze webpage changes without manual intervention.

Connect GetScreenshot

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    getscreenshot: {
      type: "app",
      app: "getscreenshot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rasterwise.com/v1/get-screenshot`,
      params: {
        apikey: `${this.getscreenshot.$auth.api_key}`,
        url: `https://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

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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}}