Capture a screenshot of a URL, HTML, or Markdown content. Supports device emulation, ad/chat/tracker blocking, metadata extraction, geolocation, timezone, styling (macOS/Windows frames, gradient/glass backgrounds, shadows), and more. Returns an image (PNG, JPEG, or WebP).
Generate a PDF from a URL or HTML content. Supports custom margins, headers/footers, page ranges, and scaling. Saves the PDF to disk and returns the file path.
Generate an Open Graph / social card image. Returns an image using built-in templates or custom HTML.
Execute a multi-step browser automation sequence. Navigate pages, interact with elements (click, fill, select), and capture multiple screenshots/PDFs/diffs in a single browser session. Use the "diff" step to compare the current page state against another URL after automation. Each output counts as 1 API request.
Record a professional demo video of a multi-step browser automation sequence. Produces MP4/WebM/GIF with cursor highlighting, click effects, smooth movement, step notes, browser frame (macOS/Windows), gradient/glass backgrounds, and more. Costs 3 API requests. Saves to disk. BEST PRACTICE: Keep videos concise (5-15 action steps). Do NOT add wait steps between every action — the pace parameter handles timing. Only use wait for page loads or narration holds. Do NOT use zoom unless the user explicitly asks for it.
Inspect a web page and get a structured map of all interactive elements, headings, forms, links, and images — each with a unique CSS selector. Use this BEFORE run_sequence or record_video to discover what elements exist on the page and get reliable selectors. Returns text (not an image), so it is fast and cheap. Costs 1 API request.
Get a compact, token-budgeted "observation" of any web page, purpose-built for AI agents. In ONE request it returns: id-indexed interactive elements (role, name, CSS selector, state), a heuristic page-type classification (login, signup, search, article, form, generic), and grouped "suggested actions" (login flow, search, primary buttons, navigation). Optionally include readable content (Markdown), the ARIA tree, and a screenshot. This is the fastest way for an agent to understand and act on an un-instrumented page — far more token-efficient than a raw screenshot or full DOM. Use the returned selectors with run_sequence to act. Costs 1 API request.
Convert a page-agent/browser-use action trace into a re-runnable PageBolt sequence. Give it the array of actions a page-agent produced (each entry may be either {action, index|selector, value, ...} or the {action_name: {...}} shape) plus, optionally, the selectors map from observe_page with format:"flatdomtree" to resolve indices to CSS selectors. Set save:false for a dry run that returns the translated steps without persisting. This endpoint does NOT consume request quota. Pair with observe_page (format:"flatdomtree") → run an agent → import_agent_trace to turn an ad-hoc agent run into a deterministic, replayable sequence.
Give PageBolt a URL and a plain-English GOAL; it runs an observe→plan→act→verify loop server-side until the goal is met, then returns a structured trace of every action it took plus a success/failure status. This is the "hands" on top of observe_page (the "eyes") — you do NOT author selectors or a step list yourself. Use act_on_page when you only know the OUTCOME you want (e.g. "log in and open billing", "accept the cookie banner and start a trial"); use run_sequence when you already know the exact deterministic steps/selectors (cheaper). Available on Starter+ plans. Cost is metered: 2 requests base + 1 per step taken. SECURITY: page text is treated as untrusted — the agent pursues only your goal and ignores instructions embedded in the page. Scope allowedDomains tightly and avoid destructive flows.
Compare two web pages (or HTML strings) pixel-by-pixel and return a diff image highlighting all visual differences. Supports full-page capture, device emulation, element selectors, and all screenshot-like options. Returns the diff image, changed pixel count, and percentage changed. Costs 1 API request.
List all available device presets for viewport emulation (e.g. iphone_14_pro, macbook_pro_14). Use the returned device names with the viewportDevice parameter in take_screenshot.
Check your current PageBolt API usage and plan limits.
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