browser-fingerprinting VS Playwright

Yes, there is a lot written about it. Here is one link I have saved:

https://github.com/niespodd/browser-fingerprinting

So he here is a link to the original, true Github repo, so at least the author might get reimbursed via his affiliation links and get rightfully paid rather than just plagiarized by other proxy blogs - https://github.com/niespodd/browser-fingerprinting

Try your technique on a few of these fingerprint testing sites https://github.com/niespodd/browser-fingerprinting#fingerpri... I'm pretty sure it's quite detectible

This guide shows how to test the entire registration flow, including real email confirmation, using Playwright and temporary inboxes created with Tigrmail. You'll get a working test in minutes and a clean way to automate email-based flows.

Playwright for end-to-end testing with canvas interactions

await expect(locator).toMatchAriaSnapshot(` - list - /children: equal - listitem: Feature A - listitem: - link "Feature B": - /url: "https://playwright.dev" `);

Playwright documentation

This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy.

For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more established players there's always Cypress (https://cypress.io) and Playwright (https://playwright.dev) if you want to stay closer to code, or TestRail (https://testrail.com) + Browserstack (https://browserstack.com) for the enterprise route.

Will definitely try the demo - the acceptance criteria parsing sounds like it could catch a lot of edge cases that usually slip through.

Privotron is built on a modern Python stack that leverages several powerful libraries for browser automation and configuration management. At its core, the application uses Playwright, a robust browser automation framework that provides cross-browser support and reliable DOM interaction capabilities. The command-line interface is implemented using Click, which enables sophisticated argument parsing and validation with minimal boilerplate code. For configuration management, Privotron employs PyYAML to parse broker-specific YAML files, allowing for declarative definitions of opt-out workflows. The architecture combines declarative configuration with imperative execution, allowing for a flexible and extensible system that can adapt to the varied requirements of different data broker opt-out processes.

In my job, I've encountered a tool called Playwright for this purpose and was greatly impressed by its capabilities. You can program it to do all the things you do manually -- and run them automatically without needing to open a browser. It's no wonder someone took the time to transform such bloatware as a modern browser into something more automation-friendly. Amazing!

This article introduces a design pattern for end-to-end testing using Playwright. This pattern is an extension of the Page Object Model, aimed at improving test code readability and reducing the increase in code volume when adding more test scenarios or test data variations. This pattern is adopted by SVQK. A working implementation example and its test results are available in the following repositories: