# Website Screenshot & PDF — Full Page, Banner Blocking (`lizaraco/website-screenshot-pdf`) Actor Capture pixel-perfect website screenshots (full-page, custom viewport, JPEG/PNG) or render URLs and raw HTML to PDF — invoices, reports, archives. Cookie-banner blocking, batch input, pay per render. - **URL**: https://apify.com/lizaraco/website-screenshot-pdf.md - **Developed by:** [Shawn Downs](https://apify.com/lizaraco) (community) - **Categories:** Automation, Developer tools, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 renders This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Website Screenshot & PDF — Full Page, Banner Blocking Pixel-perfect **website screenshots** and **URL/HTML → PDF** rendering in one actor. Batch a list of URLs, get files back with public download links — no subscription, no server to run, pay per render. Built for automations, monitoring, archiving, and **AI agents**. ### Take full-page screenshots of any website `mode: "screenshot"` captures the entire scroll height (or a fixed viewport) at 2× device-scale for crisp retina output. PNG or JPEG with quality control, custom viewport sizes for desktop/mobile framing, optional dark-mode emulation, and an extra-wait knob for lazy-loading pages. Common **cookie/consent banners are auto-accepted and hidden** before capture — no more GDPR popups in your screenshots. ### Convert web pages or raw HTML to PDF `mode: "pdf"` prints any URL to paginated PDF (A4/Letter/Legal/A3, backgrounds on) — or renders a **raw HTML string** you pass directly: invoices, reports, receipts, and statements generated by your app or your agent, returned as a downloadable PDF in one call. ### Output Each render is saved to the run's key-value store and the dataset row gives you a **public URL** plus metadata: `input, mode, key, url, bytes, title, rendered_at`. Failed pages come back as error rows — the run itself never fails, and you only pay for successful renders. ### Why this actor - Full-page that actually works (banner blocking + lazy-load wait), retina-sharp output. - One actor for both screenshots and PDFs — one integration for all your rendering. - Never-fail batch runs with per-URL error rows. - Pay-per-render pricing that undercuts screenshot-API subscriptions. ### Use with AI agents MCP-friendly: agents call it to see a page, archive evidence, or emit a PDF report, and get a stable file URL back in JSON. # Actor input Schema ## `mode` (type: `string`): What to render. Each rendered page is billed as one render event. ## `urls` (type: `array`): Pages to capture. ## `rawHtml` (type: `string`): Alternatively render this HTML string directly (invoices, reports). Used when 'urls' is empty. ## `fullPage` (type: `boolean`): Screenshot mode: capture the entire scroll height, not just the viewport. ## `viewportWidth` (type: `integer`): Browser viewport width in px. ## `viewportHeight` (type: `integer`): Browser viewport height in px (screenshot without fullPage). ## `format` (type: `string`): Screenshot mode image format. ## `jpegQuality` (type: `integer`): Screenshot mode, jpeg only. ## `pdfFormat` (type: `string`): PDF mode paper size. ## `blockCookieBanners` (type: `boolean`): Auto-accept/hide common consent banners before capturing. ## `waitSeconds` (type: `integer`): Wait after page load before capturing (lazy content, fonts, charts). ## `darkMode` (type: `boolean`): Emulate prefers-color-scheme: dark. ## Actor input object example ```json { "mode": "screenshot", "urls": [ "https://example.com" ], "fullPage": true, "viewportWidth": 1280, "viewportHeight": 800, "format": "png", "jpegQuality": 80, "pdfFormat": "A4", "blockCookieBanners": true, "waitSeconds": 1, "darkMode": false } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://example.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lizaraco/website-screenshot-pdf").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://example.com"] } # Run the Actor and wait for it to finish run = client.actor("lizaraco/website-screenshot-pdf").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://example.com" ] }' | apify call lizaraco/website-screenshot-pdf --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lizaraco/website-screenshot-pdf", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Screenshot & PDF — Full Page, Banner Blocking", "description": "Capture pixel-perfect website screenshots (full-page, custom viewport, JPEG/PNG) or render URLs and raw HTML to PDF — invoices, reports, archives. Cookie-banner blocking, batch input, pay per render.", "version": "0.1", "x-build-id": "I5Qs3k3dWd2OWqNEN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lizaraco~website-screenshot-pdf/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lizaraco-website-screenshot-pdf", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lizaraco~website-screenshot-pdf/runs": { "post": { "operationId": "runs-sync-lizaraco-website-screenshot-pdf", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lizaraco~website-screenshot-pdf/run-sync": { "post": { "operationId": "run-sync-lizaraco-website-screenshot-pdf", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Output", "enum": [ "screenshot", "pdf" ], "type": "string", "description": "What to render. Each rendered page is billed as one render event.", "default": "screenshot" }, "urls": { "title": "URLs", "type": "array", "description": "Pages to capture.", "items": { "type": "string" } }, "rawHtml": { "title": "Raw HTML (PDF mode)", "type": "string", "description": "Alternatively render this HTML string directly (invoices, reports). Used when 'urls' is empty." }, "fullPage": { "title": "Full page", "type": "boolean", "description": "Screenshot mode: capture the entire scroll height, not just the viewport.", "default": true }, "viewportWidth": { "title": "Viewport width", "minimum": 320, "maximum": 3840, "type": "integer", "description": "Browser viewport width in px.", "default": 1280 }, "viewportHeight": { "title": "Viewport height", "minimum": 320, "maximum": 2160, "type": "integer", "description": "Browser viewport height in px (screenshot without fullPage).", "default": 800 }, "format": { "title": "Image format", "enum": [ "png", "jpeg" ], "type": "string", "description": "Screenshot mode image format.", "default": "png" }, "jpegQuality": { "title": "JPEG quality", "minimum": 10, "maximum": 100, "type": "integer", "description": "Screenshot mode, jpeg only.", "default": 80 }, "pdfFormat": { "title": "PDF paper size", "enum": [ "A4", "Letter", "Legal", "A3" ], "type": "string", "description": "PDF mode paper size.", "default": "A4" }, "blockCookieBanners": { "title": "Block cookie banners", "type": "boolean", "description": "Auto-accept/hide common consent banners before capturing.", "default": true }, "waitSeconds": { "title": "Extra wait (seconds)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Wait after page load before capturing (lazy content, fonts, charts).", "default": 1 }, "darkMode": { "title": "Dark mode", "type": "boolean", "description": "Emulate prefers-color-scheme: dark.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```