Integrate the SauceLabs API with the Python API

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

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Popular SauceLabs 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 SauceLabs#

Sauce Labs API lets you automate your web and mobile app testing. This means you can create, manage, and run tests programmatically on different browsers and devices, gather results, and tap into Sauce Labs' extensive browser/device coverage without manual intervention. With Pipedream, you can connect Sauce Labs to a wide array of other services to streamline your testing pipeline, react to testing events in real-time, and integrate test outcomes into your CI/CD workflow, issue tracking, or notification systems.

Connect SauceLabs#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    saucelabs: {
      type: "app",
      app: "saucelabs",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.saucelabs.$auth.api_base_url}.saucelabs.com/rest/v1/info/status`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.saucelabs.$auth.username}`,
        password: `${this.saucelabs.$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}}

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