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Renders the page through the browser's rendering engine at specified dimensions, enabling pixel-perfect visual regression testing and documentation generation without external screenshot tools.","intents":["I need to capture full-page screenshots for visual regression testing across browsers","I want to generate PDFs of web pages programmatically for reports or archival","I need to screenshot only a specific element or region without capturing the entire viewport"],"best_for":["QA teams implementing visual regression test suites","developers generating documentation or reports from web content","teams validating responsive design across multiple viewport sizes"],"limitations":["Full-page screenshots require scrolling the entire page, which can trigger lazy-load events and modify page state","PDF capture does not support all CSS features (e.g., some animations, transforms may render differently than in-browser)","Screenshots are raster-based; no vector output format available for lossless scaling"],"requires":["Python 3.8+","Playwright page object","write permissions to output file path"],"input_types":["page object or element handle","output path (PNG, JPEG, or PDF)","options (full_page, clip region, viewport size, scale factor)"],"output_types":["PNG/JPEG image file (raster)","PDF file (vector + raster hybrid)","bytes object (in-memory image data)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-playwright__cap_4","uri":"capability://automation.workflow.browser.context.and.cookie.storage.management","name":"browser context and cookie/storage management","description":"Creates isolated browser contexts (equivalent to private browsing sessions) with independent cookies, local storage, session storage, and IndexedDB, allowing parallel test execution without cross-contamination. 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Enables real-time network monitoring without external proxy tools or performance monitoring libraries.","intents":["I need to measure page load performance and identify slow resources in automated tests","I want to capture network activity (requests, responses, timing) for debugging or compliance auditing","I need to assert that page load time stays below a threshold in CI/CD pipelines"],"best_for":["performance engineers building automated performance regression tests","developers debugging slow page loads in test environments","teams capturing network traces for security or compliance audits"],"limitations":["Metrics are browser-reported and may differ from real-world performance (no real network latency, no real device CPU/memory constraints)","HAR files can be large for pages with many requests; no built-in filtering or sampling","Some metrics (e.g., Core Web Vitals like CLS) require user interaction and cannot be measured in headless automation"],"requires":["Python 3.8+","Playwright page object","optional: HAR recording enabled via context options"],"input_types":["page object","HAR recording options (record_har_path, record_har_mode)"],"output_types":["metrics object (load time, DOMContentLoaded, first contentful paint)","HAR file (JSON format with request/response details and timing)","network event stream (request, response, failed events)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-playwright__cap_6","uri":"capability://automation.workflow.keyboard.and.mouse.input.simulation.with.timing.control","name":"keyboard and mouse input simulation with timing control","description":"Simulates keyboard and mouse events (type, press, click, drag, hover) with configurable timing and delay between actions, enabling realistic user interaction patterns. Uses the browser's input event system to trigger native events (keydown, keyup, mousemove, mousedown, mouseup) rather than directly manipulating DOM, ensuring event handlers and form validation logic execute as they would for real user input.","intents":["I need to simulate realistic typing speed and keyboard interactions for testing form validation","I want to test drag-and-drop functionality without manually constructing mouse events","I need to trigger keyboard shortcuts (Ctrl+A, Cmd+C) and verify the application responds correctly"],"best_for":["QA engineers testing form interactions and keyboard navigation","developers validating drag-and-drop and gesture-based UIs","teams testing accessibility features like keyboard-only navigation"],"limitations":["Simulated input may not trigger all native browser behaviors (e.g., IME composition events for non-Latin input)","Drag-and-drop simulation uses mouse events, not the native DataTransfer API — some drag-and-drop libraries may not recognize it","No support for multi-touch gestures or pressure-sensitive input"],"requires":["Python 3.8+","Playwright page object","element handle or locator for input target"],"input_types":["text string (for type action)","key name (for press action, e.g., 'Enter', 'Control+A')","coordinates (for click, drag, hover)","delay in milliseconds (optional)"],"output_types":["event confirmation (action completed)","element state changes (text input value, focus state)"],"categories":["automation-workflow","testing-qa"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-playwright__cap_7","uri":"capability://code.generation.editing.javascript.execution.and.page.evaluation","name":"javascript execution and page evaluation","description":"Executes arbitrary JavaScript code in the page context with access to the DOM, window object, and page state, returning serialized results back to Python. 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Traces capture the full execution timeline with screenshots at each step, enabling visual replay of test execution without re-running the test, and network logs for debugging API interactions.","intents":["I need to debug a flaky test by watching a video of what happened during execution","I want to capture detailed traces of failed tests for root cause analysis without re-running","I need to share test execution evidence with team members or stakeholders"],"best_for":["QA teams debugging flaky or failing tests","developers investigating test failures in CI/CD pipelines","teams documenting test execution for compliance or audit purposes"],"limitations":["Video and trace files can be large (10-100MB+ per test) — requires significant disk space for large test suites","Video recording adds overhead (~5-10% slowdown) — not suitable for performance-critical tests","Trace playback requires Playwright Inspector or custom tooling; no built-in web viewer"],"requires":["Python 3.8+","Playwright context with recording enabled","write permissions to output directory","optional: ffmpeg for video encoding (auto-installed with Playwright)"],"input_types":["context options (record_video_dir, record_video_size, record_trace_dir)"],"output_types":["MP4 video file (browser session recording)","ZIP trace file (screenshots, network logs, DOM snapshots, timeline)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pypi_pypi-playwright__cap_9","uri":"capability://automation.workflow.mobile.device.emulation.with.device.profiles","name":"mobile device emulation with device profiles","description":"Emulates mobile devices (iPhone, Android phones, tablets) with predefined profiles that set viewport size, device pixel ratio, user agent, touch capabilities, and other device-specific properties. 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