Playwright Automation with Python, Pytest, AI & Jenkins

Learn how to configure pytest in PyCharm, create basic test scenarios named with test, and run login and logout tests to generate execution reports.

define preconditions and postconditions in pytest using function- and module-level setup and teardown, and replace duplicate code with fixtures and decorators using scope function or module and yield for teardown.

Explore how Playwright Python bridges code to the browser via the core, with browser, browser context, and page layers, using lean builds of Chromium, WebKit, and Firefox.

Explore a first Playwright script in Python using the sync API to launch Chromium, open a page, print its title, and close the browser, with notes on the async API.

Install pytest-playwright and compare it with the traditional playwright setup to run browsers in headed or headless mode and capture screenshots, videos, and traces.

Explore the Playwright trace view to record, view, and analyze test traces with the trace viewer, tracing options, and trace zip data, including actions, metadata, and locators.

Explore locating form fields by placeholder text with page.get_by_placeholder in Playwright. Fill username and password fields on a label-less login form using the placeholder values.

Identify elements with CSS selectors in Playwright using built-in locators, IDs, classes, placeholders, and attribute-based selectors. Avoid long CSS or XPath chains to keep tests fast and stable.

Learn how to locate web elements with XPath using multiple attributes with and/or logic, and leverage contains, starts with, and exact or partial text matches for element identification.

Learn to locate elements with XPath in Playwright using index, position, last, and siblings, and handle dynamic elements with contains and starts with.

Master handling shadow dom in playwright with page.get_by_text or a locator with a tag name, then click the last matching 'try for free' element inside a Salesforce shadow root.

Explore hard and soft assertions in playwright with Python, covering to be checked, to be enabled or disabled, to be editable, visible, and text or count validations with practical examples.

Learn to handle text fields in Playwright by locating username and password fields with role-based and locator strategies, then fill and clear values while validating visibility and editability.

Master handling multiple checkboxes in a Playwright Python script by selecting all checkboxes with get by role, counting them, and looping through indices to check or uncheck with delays.

Demonstrate all text content vs all inner text by showing that inner text removes extra spaces while text content preserves them, then loop through and print text from multi-select options.

Master handling frames in web automation by switching to iframes with a frame locator, identifying frame HTML, and performing actions inside the frame with Playwright.

Identify frames using a frame locator or frame object by name or URL, switch into frames, and manage nested child frames with indices and updated locators to interact.

Learn to handle a jQuery UI date picker inside a frame by opening the calendar from a text field and selecting a date with a css selector and next-month option.

Fetches and prints complete webtable data by iterating through rows and columns, retrieving each cell's inner text, and displaying full row and column information.

Learn to handle alerts in Playwright with Python by retrieving alert text via dialog data type, printing the message, and validating alert type and message with assertions.

Handle auto suggestions in Playwright automation with Python: fill the text box, wait for suggestions, locate items by class name or parent, and print results to the console.

Explore auto waiting in playwright with practical examples, using wait for selector, wait for state, and page.locator to handle visible elements and timeouts, including per-command timeouts.

Utilize page.wait_for_url to pause until a specific URL loads, with a 30-second timeout, and observe login flow and URL mismatch handling.

Capture screenshots with Playwright: take a page screenshot, a full-page capture, or a specific element; use dynamic timestamps to avoid overwriting and ensure reliable results.

Configure a Playwright browser context to capture videos by setting a recording directory, optionally specify height and width, run the script, and verify the saved video file.

Execute Playwright tests on mobile emulators by configuring a device in the terminal or an ini file, selecting devices like iPhone SE or iPhone 13 Pro Max for responsive previews.

Learn to handle multiple windows in playwright by switching from the parent page to a new window via browser context, then print the child page’s title and url after load.

This lecture demonstrates handling multiple browser windows dynamically by iterating through all pages, identifying the blog window by its title, waiting for elements, and closing a disclaimer before continuing.

Install homebrew and allure on a Mac, configure the PyCharm interpreter to install the Allure Pi tester package, and prepare multi-language allure reports for cross-platform testing.

Learn how to generate Allure reports from pytest by creating JSON files, serving the report via a web server, and inspecting detailed test results for four executed tests.

Configure pytest.ini to generate HTML and allure reports directly from test runs, storing reports in a dedicated folder and serving allure results with pytest serve.

Develop a reusable Python logging utility to generate logs for test frameworks, using a utils directory and logs folder with a configurable format and info level.

Learn to read data from a config.ini in Python with configparser, retrieving values by sections (basic info, mobile) and keys (url, browser name, execution OS) via a reader_config function.

Build a Python utility to read and write Excel data, including row and column counts, cell data retrieval, writing values, and saving updates with file and sheet naming.

Configure the base url for pytest tests using the pytest-base-url plugin, and define it via the terminal or pytest.ini for consistent script execution.

Learn how to configure a custom viewport with conftest.py in Playwright tests using pytest, defining fixtures that set browser dimensions and ignore http errors across the test suite.

Learn to read test data from config.ini with a config reader, fetch the dashboard url via read_config, and wait for the url to verify navigation with assertions.

Convert the test from a function to a class using a page fixer, and implement a pytest login test with the login page object and credentials.

Enhance test scripts by adding url assertions across login and cart flows. Fetch dashboard, cart, info, and overview urls with a config reader to verify navigation.

Wrap login, logout, add product, checkout, and place order logic in try-except blocks with error messages; identify pages and locators, create page classes, use config.ini data, and write tests.

Group tests with pytest markers like smoke and regression using -m, set HTML report paths, and plan automation with a feasibility study, page locators, and data from config or Excel.

Explore the basics of rest and web services, including http methods, requests, and responses. Understand how restful APIs enable lightweight communication and representational state transfer for client-server interactions.

Learn how to perform API testing with Playwright in Python by creating an API request context, sending a get request, and validating response status and body, including JSON parsing.

Learn to perform get requests with playwright using Python, validate responses, extract ids and data, and clean memory with dispose to keep tests efficient.

Validate API response bodies by asserting presence of keys like name and id, and by checking nested data such as price, CPU model, and hard disk.

Explore working with a RESTful API on a Heroku application by using curl commands, importing them into Postman, and testing a get bookings API with JSON assertions.

Create a booking via post, capture the booking id, and fetch its details with a get request using that id across tests.

Explore how to perform a patch request for partial updates in a booking API, using curl and postman, updating only changed fields with a token-authenticated call.

Learn to perform a delete booking API call using curl and Postman, manage token-based headers in a Playwright Python test, and troubleshoot responses with debugging tips.

Explore how to implement basic authentication for APIs using username and password, encode credentials with base64, and pass them in the authorization header to access protected endpoints.

Explore artificial intelligence as a computer system that can think, learn, and make decisions from data; see how it understands language, recognizes images, and supports writing and automation tasks.

Explore retrieval augmented generation (rag) and how it enhances large language models (llm) with a vector database knowledge base. Retrieve data and augment queries to produce accurate responses without retraining.

Explore LangChain’s open‑source framework that connects LLMs to external data sources via a vector database, and LangGraph’s graphical workflow with nodes, edges, states, and checkpoints.

Utilize MCP, the model context protocol, to standardize how AI models discover and call tools, enabling reusable, scalable, and consistent tool use with external systems.

Get an overview of prompts and prompt engineering, and learn how clear context shapes AI responses. Reduce hallucinations and guide travel planning, bookings, and task execution.

Define and apply a manual context file to guide automated testing flows, using prompts to drive actions in a demo login scenario, with positive and negative paths.

Explore OpenAI’s mission to benefit humanity and how ChatGPT, Copilot, and GPT models power its products, while OpenAI develops principles and protocols for collaborative AI and DALL-E image generation.

Understand what an AI model is, a data-trained algorithm that recognizes patterns and generates outputs, and how it differs from large language models as a specialized subset of generative AI.

Build an n8n workflow that uses an AI agent to fetch a recipient from a sheet and send an email to that jam's address, replacing a hard-coded recipient.

Build and tweak an n8n workflow that reads employee data from Google Sheets sheet two, and when status is S, automatically emails the user that their background verification has started.

Create a Jira cloud account, set up a project and API token, and integrate Zephyr for Jira to manage test cases and defects driven by Excel input.

Learn how to build an n8n workflow to create Jira defects from spreadsheet data, configure Zephyr, manage credentials (email, api token, domain), and troubleshoot cloud Jira connections.

Demonstrates building a chrome extension for record and playback with Cursor AI, generating Playwright or Selenium scripts, and deploying via npm, build, and load unpacked extension.

Explore how prompts drive a large language model and the playwright MCP to generate and execute browser automation code, and learn the roles of the agent and VS Code configuration.

Configure playwright with python and pytest, generate a test that navigates to bing.com and verifies the page title, then run the test in headless or headed mode.

Create and execute a Playwright Python test to automate the sauce demo login with a standard user and the secret sauce, validating the home URL.

Create a complete Playwright framework in Python with a page object model, generated by Copilot from a single prompt. Organize pages, tests, utilities, and reports, plus pytest.ini and readme.

Learn how to commit a copilot-generated Playwright Python framework to GitHub by cleaning old tests, validating requirements.txt, installing packages with pip, and pushing changes via git.

Learn to set up Jenkins on Windows and macOS, install plugins, configure Python path, and run pytest via python -m pytest in a freestyle job for Playwright tests.

Configure Jenkins pipelines for the Playwright Python framework, linking demo, deployment, testing, and release builds with downstream triggers and options to run even if upstream builds fail.

Create an azure dev apps account for testing, set up an organization and a project, and prepare a pipeline to run playwright automation tests.

Push the Playwright project to GitHub, configure an Azure DevOps pipeline, install dependencies, run Playwright tests, and publish test results.

Create a manual test case generator agent with a python program that fetches user story details from Azure Dev Apps and prints title, description, acceptance criteria, and screenshots.

Apply a rule-based method to generate comprehensive manual test cases for playbook automation, covering end-to-end, negative, and edge cases with P1, P2 priorities using action keywords.

Learn to build a Playwright automation test case agent that generates scripts in Python, JavaScript, or TypeScript from Azure test steps, using a project root with a skill.md.