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The tool launches a headless browser instance, navigates to URLs, and extracts rendered DOM content, making it accessible to AI models and agents via standardized MCP tool calls rather than direct API integration.","intents":["I need to fetch and parse dynamic web content (JavaScript-rendered pages) for an AI agent to analyze","I want to integrate web crawling into my LLM application without managing browser lifecycle myself","I need to expose web scraping as a tool that Claude or other MCP-compatible models can call"],"best_for":["AI agent builders using Claude or other MCP-compatible LLMs","Teams building research assistants that need real-time web data","Developers integrating web content into RAG pipelines via MCP"],"limitations":["Playwright requires significant memory overhead (~100-200MB per browser instance); scaling to concurrent crawls requires careful resource management","No built-in request queuing or rate limiting — rapid successive crawls may trigger IP blocking or 429 responses","Rendered content extraction is limited to DOM text; complex interactive elements or shadow DOM content may not be fully captured","No persistent session management across crawls — cookies and authentication state are not retained between requests"],"requires":["Node.js 14+ (Playwright requires modern Node runtime)","Playwright browser binaries (chromium, firefox, or webkit — auto-installed on first run)","MCP client implementation (Claude desktop, custom MCP host, or compatible LLM framework)","Network access to target websites"],"input_types":["URL string","optional selector string for DOM element targeting"],"output_types":["rendered HTML/text content","structured metadata (title, description, links)"],"categories":["tool-use-integration","web-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_1","uri":"capability://data.processing.analysis.dynamic.content.rendering.and.dom.extraction","name":"dynamic content rendering and dom extraction","description":"Uses Playwright's headless browser engine to fully render JavaScript-heavy websites and extract the resulting DOM as text or structured data. Unlike static HTTP clients, this waits for page load events, executes client-side JavaScript, and captures the final rendered state, enabling crawling of single-page applications and dynamically-loaded content.","intents":["I need to scrape content from a React/Vue/Angular SPA that doesn't render on the server","I want to wait for lazy-loaded images and content to appear before extracting page data","I need to extract the actual rendered text users see, not the raw HTML source"],"best_for":["Researchers crawling modern web applications with heavy client-side rendering","AI agents analyzing content from SPAs or dynamic news feeds","Teams building web intelligence tools that need rendered content, not source HTML"],"limitations":["Rendering adds 2-5 second latency per page compared to static HTTP requests","Memory usage scales with page complexity; heavily instrumented pages (100+ scripts) may cause OOM on resource-constrained systems","JavaScript execution is sandboxed but not fully isolated — malicious scripts could theoretically impact the Playwright process","No built-in timeout handling for pages that never finish loading; requires manual timeout configuration per crawl"],"requires":["Playwright 1.40+","Target website must be publicly accessible","Sufficient system memory (minimum 512MB free for single concurrent crawl)"],"input_types":["URL string","optional wait selector (CSS or XPath) to wait for specific elements"],"output_types":["rendered HTML string","extracted text content","DOM element references"],"categories":["data-processing-analysis","web-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_2","uri":"capability://tool.use.integration.mcp.tool.schema.registration.and.invocation.routing","name":"mcp tool schema registration and invocation routing","description":"Implements the Model Context Protocol server specification, registering web crawling operations as callable tools with JSON schema definitions. The server exposes tool_list and tool_call handlers that parse incoming MCP requests, validate arguments against schemas, invoke Playwright crawl operations, and return results in MCP-compliant format for consumption by AI models.","intents":["I want Claude to be able to call web crawling as a native tool without custom code","I need to define what crawling parameters are available and validate them before execution","I want my LLM to decide when and how to crawl based on task context"],"best_for":["Claude desktop users integrating web research into their workflows","Teams building MCP-compatible AI agent frameworks","Developers standardizing on MCP for tool composition across multiple services"],"limitations":["MCP protocol overhead adds ~50-100ms per tool invocation for serialization/deserialization","Tool schema validation is strict — malformed requests from the LLM will be rejected without fallback","No built-in authentication or rate limiting at the MCP layer — relies on client-side enforcement","Limited to tools that fit MCP's request/response model; streaming responses or long-running crawls require polling"],"requires":["MCP client implementation (Claude desktop, custom host, or compatible framework)","JSON schema understanding in the client LLM","Network connectivity between MCP client and server"],"input_types":["MCP tool_call request with JSON arguments"],"output_types":["MCP tool_result response with JSON-serialized crawl output"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_3","uri":"capability://data.processing.analysis.selective.dom.element.extraction.via.css.xpath.selectors","name":"selective dom element extraction via css/xpath selectors","description":"Provides selector-based extraction to target specific DOM elements rather than crawling entire pages. Accepts CSS selectors or XPath expressions, uses Playwright's locator API to find matching elements, and extracts their text content, attributes, or inner HTML. This enables precise data extraction from known page structures without parsing full page content.","intents":["I need to extract just the article title and publish date from a news page, not the entire HTML","I want to find all product prices matching a specific CSS class and return them as structured data","I need to extract the href from links matching a pattern without downloading the full page"],"best_for":["Data extraction pipelines targeting known page structures","AI agents that need specific fields from web pages (prices, dates, names)","Teams building web scrapers for structured data collection"],"limitations":["Selector-based extraction requires prior knowledge of page structure — brittle if HTML changes","XPath expressions are slower than CSS selectors (10-50ms overhead per query on large DOMs)","No built-in fallback if selector doesn't match — returns null/empty rather than attempting alternative extraction","Attribute extraction is limited to DOM attributes; computed styles or JavaScript-derived values require custom evaluation"],"requires":["Valid CSS selector or XPath expression","Target element must be present in rendered DOM","Playwright 1.40+"],"input_types":["URL string","CSS selector string or XPath expression","optional extraction type (text, html, attribute)"],"output_types":["string (text content)","string (HTML)","string (attribute value)","array of strings (multiple matches)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_4","uri":"capability://automation.workflow.multi.page.crawl.orchestration.with.sequential.navigation","name":"multi-page crawl orchestration with sequential navigation","description":"Manages crawling workflows that span multiple pages, handling browser context persistence, navigation between URLs, and state management across requests. The tool maintains a single Playwright browser instance across multiple crawl operations, allowing efficient reuse of browser resources and enabling workflows like following pagination links or navigating through site hierarchies.","intents":["I need to crawl all pages of a paginated search result (page 1, 2, 3, etc.)","I want to follow a chain of links (e.g., category → product list → product detail) in a single crawl session","I need to maintain cookies/session state across multiple page visits to access authenticated content"],"best_for":["AI agents performing multi-step research workflows","Data collection pipelines that need to traverse site structures","Teams building web intelligence tools requiring session persistence"],"limitations":["Browser context is not isolated between crawls — cookies and local storage persist, potentially causing cross-contamination","No built-in pagination detection or automatic link following — requires explicit URL lists or selector-based navigation","Sequential navigation means crawls are blocking; parallel multi-page crawls require multiple browser instances (expensive)","Memory leaks possible if pages are not properly closed between navigations; requires careful resource cleanup"],"requires":["Playwright 1.40+","List of URLs or selectors for navigation","Sufficient system memory for browser instance persistence"],"input_types":["array of URL strings","optional selector for pagination/navigation links"],"output_types":["array of crawl results (one per page)","aggregated content from all pages"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_5","uri":"capability://data.processing.analysis.xiaohongshu.little.red.book.platform.specific.content.extraction","name":"xiaohongshu (little red book) platform-specific content extraction","description":"Includes specialized crawling logic for Xiaohongshu (XHS), a Chinese social commerce platform, handling platform-specific HTML structures, dynamic content loading, and anti-bot protections. The tool detects XHS URLs and applies custom extraction rules optimized for feed posts, product listings, and user profiles on that platform.","intents":["I need to analyze trending products and reviews from Xiaohongshu for market research","I want to extract influencer content and engagement metrics from XHS posts","I need to monitor product listings and pricing on Xiaohongshu without manual checking"],"best_for":["Teams researching Chinese e-commerce and social commerce trends","Market researchers analyzing Xiaohongshu influencer content","Businesses monitoring competitor products on XHS"],"limitations":["Xiaohongshu actively blocks automated crawling with rate limiting and IP blocking — requires proxy rotation or delays between requests","Platform structure and selectors change frequently; custom extraction rules may break with platform updates","Content is heavily JavaScript-rendered with lazy loading — requires longer wait times and more memory than typical websites","User-agent and header spoofing required to avoid bot detection; may violate Xiaohongshu's terms of service"],"requires":["Xiaohongshu URL (post, product, or profile)","Proxy service or IP rotation (recommended to avoid blocking)","Playwright 1.40+","Understanding of Xiaohongshu's content structure"],"input_types":["Xiaohongshu URL string","optional content type hint (post, product, profile)"],"output_types":["extracted post content (title, description, images, engagement metrics)","product data (name, price, reviews, seller info)","user profile data (follower count, bio, post history)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_6","uri":"capability://automation.workflow.command.line.mcp.server.process.management","name":"command-line mcp server process management","description":"Runs as a standalone Node.js process that implements the MCP server protocol, handling stdio-based communication with MCP clients (Claude desktop, custom hosts). The tool manages process lifecycle, argument parsing, and server initialization, allowing it to be invoked as a command-line tool that automatically starts the MCP server and waits for client connections.","intents":["I want to run web crawling as a local MCP server that Claude desktop can connect to","I need to integrate this crawler into my MCP host without writing wrapper code","I want to manage the crawler as a system service or Docker container"],"best_for":["Claude desktop users adding web research capabilities","Teams running MCP servers in containerized environments","Developers integrating multiple MCP tools into a unified host"],"limitations":["Stdio-based communication means the server is tied to a single client connection; multiple concurrent clients require multiple server instances","Process management is manual — no built-in restart logic or health checks","Configuration is command-line argument based; no config file support for complex setups","Logging goes to stderr; requires external log aggregation for production monitoring"],"requires":["Node.js 14+","MCP client implementation (Claude desktop, custom host)","Command-line access to run the tool"],"input_types":["command-line arguments (URL, selectors, options)"],"output_types":["MCP protocol messages via stdio"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-smart-crawler__cap_7","uri":"capability://automation.workflow.error.handling.and.retry.logic.for.failed.crawls","name":"error handling and retry logic for failed crawls","description":"Implements automatic retry mechanisms for transient failures (network timeouts, temporary 5xx errors, page load failures) with exponential backoff. The tool catches Playwright errors, network errors, and timeout exceptions, retries with increasing delays, and returns structured error information if all retries fail, allowing graceful degradation in crawl workflows.","intents":["I want my crawl to automatically retry if the page times out or the network is temporarily unavailable","I need to know why a crawl failed (timeout vs. 404 vs. blocked) so my agent can decide next steps","I want to avoid hammering a server with immediate retries when it's rate limiting me"],"best_for":["Production crawl pipelines that need reliability","AI agents that must handle transient failures gracefully","Teams building resilient web intelligence systems"],"limitations":["Retry logic adds latency (exponential backoff means 3 retries can take 30+ seconds)","No distinction between retryable and permanent errors — 404s and 403s are retried unnecessarily","Retry count and backoff strategy are hardcoded; no configuration for different error types","No circuit breaker pattern — will keep retrying even if a server is consistently down"],"requires":["Playwright 1.40+","Network connectivity (retries only help with transient failures)"],"input_types":["URL string","optional retry count and backoff parameters"],"output_types":["crawl result on success","structured error object with error type, message, and retry count on failure"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Node.js 14+ (Playwright requires modern Node runtime)","Playwright browser binaries (chromium, firefox, or webkit — auto-installed on first run)","MCP client implementation (Claude desktop, custom MCP host, or compatible LLM framework)","Network access to target websites","Playwright 1.40+","Target website must be publicly accessible","Sufficient system memory (minimum 512MB free for single concurrent crawl)","MCP client implementation (Claude desktop, custom host, or compatible framework)","JSON schema understanding in the client LLM","Network connectivity between MCP client and server"],"failure_modes":["Playwright requires significant memory overhead (~100-200MB per browser instance); scaling to concurrent crawls requires careful resource management","No built-in request queuing or rate limiting — rapid successive crawls may trigger IP blocking or 429 responses","Rendered content extraction is limited to DOM text; complex interactive elements or shadow DOM content may not be fully captured","No persistent session management across crawls — cookies and authentication state are not retained between requests","Rendering adds 2-5 second latency per page compared to static HTTP requests","Memory usage scales with page complexity; heavily instrumented pages (100+ scripts) may cause OOM on resource-constrained systems","JavaScript execution is sandboxed but not fully isolated — malicious scripts could theoretically impact the Playwright process","No built-in timeout handling for pages that never finish loading; requires manual timeout configuration per crawl","MCP protocol overhead adds ~50-100ms per tool invocation for serialization/deserialization","Tool schema validation is strict — malformed requests from the LLM will be rejected without fallback","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:42.581Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-mcp-smart-crawler","compare_url":"https://unfragile.ai/compare?artifact=npm-mcp-smart-crawler"}},"signature":"Q20j6vq450OBVIk0JPzDPvoXJHHwFdi30KPAPVGBqpNOQBmhd27nV74K/y6sC3HajXFezu9+NK+Lt5CEGC43BA==","signedAt":"2026-06-22T14:40:43.485Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-mcp-smart-crawler","artifact":"https://unfragile.ai/npm-mcp-smart-crawler","verify":"https://unfragile.ai/api/v1/verify?slug=npm-mcp-smart-crawler","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}