What do you want to automate
with Playwright and Python?
Prompt, edit and deploy AI agents that connect to Playwright, Python and 2,900+ other apps in seconds.
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Popular Playwright and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Generates a pdf of the page and store it on /tmp directory. See the documentation
Store a new screenshot file on /tmp directory. See the documentation
Overview of Playwright#
Playwright is a Node.js library which provides a high-level API to control Chrome/Chromium over the DevTools Protocol. Playwright runs in headless mode on Chromium on Pipedream.
Using Playwright you can perform tasks including:
- Capture Screenshots: Convert webpages into images.
- Processing PDFs: parse and scan PDFs.
- Web Scraping: Extract data from websites.
- UI/UX Testing: Verify user interface and experience.
- Integration with Test Frameworks: Combine with testing frameworks.
- Task Automation: Automate web-related tasks like form filling.
- Functional Testing: Automate user interactions to test web application functionality.
- Regression Testing: Ensure new code changes don't introduce bugs.
Connect Playwright#
import { playwright } from '@pipedream/browsers';
export default defineComponent({
async run({steps, $}) {
const browser = await playwright.launch();
// Interact with the web page programmatically
// See Playwright's Page documentation for available methods:
// https://playwright.dev/docs/api/class-page
const page = await browser.newPage();
await page.goto('https://pipedream.com/');
const title = await page.title();
const content = await page.content();
// Close context and browser otherwise the step will hang
await page.context().close()
await browser.close();
return { title, content }
},
})
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