Integrate the Headless Testing API with the Python API

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

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Popular Headless Testing 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 Headless Testing#

The Headless Testing API unlocks the power of automated browser tasks, enabling developers to run end-to-end tests in a headless Chrome environment. This service is crucial for continuous integration pipelines, allowing for the execution of scripts that verify the functionality and performance of web applications without the need for a graphical user interface. With Pipedream, you can connect the Headless Testing API to a myriad of other services, triggering automated tests based on specific events, storing results, and even notifying team members about test outcomes.

Connect Headless Testing#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    headless_testing: {
      type: "app",
      app: "headless_testing",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.headlesstesting.com/api/v1/user`,
      params: {
        token: `${this.headless_testing.$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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