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Popular Headless Testing and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies