{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-mcp-smart-crawler","slug":"mcp-smart-crawler","name":"mcp-smart-crawler","type":"mcp","url":"https://github.com/loo-y/mcp-smart-crawler","page_url":"https://unfragile.ai/mcp-smart-crawler","categories":["mcp-servers"],"tags":["crawler","scraper","playwright","automation","web","model context protocol","mcp","xiaohongshu","xhs"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-mcp-smart-crawler__cap_0","uri":"capability://tool.use.integration.mcp.compliant.web.crawling.server","name":"mcp-compliant web crawling server","description":"Implements the ModelContextProtocol server specification to expose web crawling as a standardized tool interface for AI models and agents. The server registers itself as an MCP resource provider, allowing Claude and other MCP-compatible clients to invoke crawling operations through the protocol's tool-calling mechanism without direct HTTP integration.","intents":["Enable Claude or other AI models to autonomously crawl web content during multi-turn conversations","Integrate web scraping capabilities into agentic workflows without building custom API layers","Expose crawling as a standardized tool that works across different MCP-compatible clients"],"best_for":["AI agent builders using Claude with MCP support","Teams building autonomous research or data collection agents","Developers integrating web crawling into LLM-powered applications"],"limitations":["Requires MCP client support — not compatible with standard REST API consumers","Single-threaded MCP server design may bottleneck concurrent crawl requests","No built-in request queuing or rate limiting at the MCP protocol level"],"requires":["Node.js 16+","MCP-compatible client (Claude desktop, or custom MCP client implementation)","Playwright runtime dependencies (chromium, firefox, or webkit)"],"input_types":["URL string","crawl configuration object (selectors, depth, timeout)"],"output_types":["structured JSON with extracted content","HTML/text content","metadata (title, description, links)"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_1","uri":"capability://automation.workflow.playwright.based.browser.automation.crawling","name":"playwright-based browser automation crawling","description":"Uses Playwright's cross-browser automation engine to crawl dynamic, JavaScript-rendered web content by controlling real browser instances (Chromium, Firefox, WebKit). Handles page navigation, DOM interaction, and content extraction with full JavaScript execution support, enabling crawling of SPAs and AJAX-heavy sites that fail with static HTTP clients.","intents":["Crawl single-page applications and JavaScript-heavy websites that require DOM rendering","Extract content from sites with dynamic loading or infinite scroll patterns","Interact with web pages programmatically (click buttons, fill forms, wait for elements)"],"best_for":["Crawling modern web applications built with React, Vue, Angular","Extracting data from sites with client-side rendering or AJAX content loading","Scenarios requiring browser automation beyond static HTML parsing"],"limitations":["Significantly slower than static HTTP crawlers — requires full browser startup and page rendering","Higher memory footprint per crawl due to browser process overhead","Browser instances may timeout on very slow or unresponsive pages","No built-in handling for browser crashes or process management across multiple concurrent crawls"],"requires":["Playwright npm package (auto-installed with browsers)","System resources for browser processes (500MB+ RAM per concurrent browser)","Network access to target websites"],"input_types":["URL string","selector strings (CSS or XPath)","navigation options (timeout, waitUntil)"],"output_types":["rendered HTML content","extracted text from DOM elements","page metadata (title, URL, cookies)"],"categories":["automation-workflow","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_10","uri":"capability://automation.workflow.timeout.and.resource.limit.enforcement","name":"timeout and resource limit enforcement","description":"Enforces configurable timeouts for page navigation, content loading, and JavaScript execution, preventing crawls from hanging indefinitely on slow or unresponsive sites. Implements memory and CPU limits per browser instance, with automatic process termination if limits are exceeded, protecting against resource exhaustion from malicious or poorly-designed pages.","intents":["I want to crawl a site but don't want to wait indefinitely if it's slow","I need to prevent a single crawl from consuming all server resources","I want to handle sites that hang during JavaScript execution"],"best_for":["Large-scale crawling operations with resource constraints","Untrusted or unknown sites that may be malicious","AI agents that need predictable crawl latency"],"limitations":["Aggressive timeouts may fail on legitimately slow sites","Resource limits are process-level — no fine-grained per-operation limits","Timeout enforcement adds overhead (polling, signal handling)","No graceful degradation — timeout results in complete failure, not partial content"],"requires":["Timeout duration (milliseconds)","Memory limit (MB)","CPU limit (percentage or cores)"],"input_types":["Navigation timeout","Load timeout","Execution timeout","Resource limits"],"output_types":["Partial page content (if timeout during load)","Timeout error with metadata"],"categories":["automation-workflow","resource-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_2","uri":"capability://data.processing.analysis.selector.based.content.extraction","name":"selector-based content extraction","description":"Extracts specific content from crawled pages using CSS selectors or XPath expressions, allowing users to define which DOM elements to extract without parsing entire HTML. The crawler applies selectors to the rendered DOM after JavaScript execution, returning structured data mapped to selector patterns.","intents":["Extract specific data fields (prices, titles, descriptions) from product pages","Map crawled content to structured schemas using selector patterns","Filter and transform raw HTML into application-specific data formats"],"best_for":["Data extraction pipelines requiring structured output from unstructured HTML","Product scraping and price monitoring workflows","Content aggregation systems needing selective field extraction"],"limitations":["Selector brittleness — page layout changes break extraction patterns","No automatic schema inference — requires manual selector definition per site","XPath support depends on Playwright's DOM implementation; complex XPath expressions may fail","No built-in fallback mechanisms if selectors don't match"],"requires":["Valid CSS selector or XPath expression","Knowledge of target page DOM structure","Playwright page object with rendered content"],"input_types":["CSS selector string","XPath expression","selector configuration object"],"output_types":["extracted text content","array of matched elements","structured JSON with selector-mapped fields"],"categories":["data-processing-analysis","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_3","uri":"capability://automation.workflow.xiaohongshu.xhs.platform.specific.crawling","name":"xiaohongshu (xhs) platform-specific crawling","description":"Provides specialized crawling logic for Xiaohongshu (Chinese social media platform) content, handling platform-specific authentication, dynamic content loading, and anti-bot measures. Implements custom navigation patterns and wait conditions tailored to XHS's JavaScript-heavy interface and content discovery mechanisms.","intents":["Crawl Xiaohongshu posts, comments, and user profiles for content analysis","Monitor trending content or specific user activity on the XHS platform","Extract structured data from XHS pages despite platform-specific anti-scraping measures"],"best_for":["Researchers analyzing Chinese social media trends","Content aggregation systems targeting XHS","Market research teams monitoring XHS influencer activity"],"limitations":["Platform-specific implementation may break if XHS changes DOM structure or anti-bot mechanisms","No authentication support — limited to publicly accessible content","XHS may actively block or rate-limit automated crawling; no built-in proxy rotation or request throttling","Maintenance burden — requires updates when platform changes its frontend"],"requires":["Network access to Xiaohongshu domain","Understanding of XHS content structure and URL patterns","Compliance with XHS terms of service regarding automated access"],"input_types":["XHS post URL","XHS user profile URL","search query or hashtag"],"output_types":["post content (text, images, metadata)","user profile information","comment threads","engagement metrics"],"categories":["automation-workflow","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_4","uri":"capability://automation.workflow.page.navigation.and.wait.condition.handling","name":"page navigation and wait condition handling","description":"Manages browser page navigation with configurable wait conditions (waitUntil: 'load', 'domcontentloaded', 'networkidle'), timeout management, and error handling for failed navigations. Implements retry logic and graceful degradation when pages fail to load, allowing crawls to continue with partial data or fallback strategies.","intents":["Navigate to URLs and wait for page readiness before extracting content","Handle slow-loading pages with configurable timeout and retry strategies","Gracefully handle network errors or unreachable pages without crashing the crawler"],"best_for":["Crawling unreliable or slow-loading websites","Large-scale crawling operations requiring robust error handling","Scenarios with variable network conditions or server response times"],"limitations":["waitUntil: 'networkidle' can be overly conservative, waiting for all network activity including analytics/ads","No adaptive timeout — fixed timeout values may be too aggressive for slow sites or too lenient for fast ones","Retry logic not configurable — uses hardcoded retry count and backoff strategy","No circuit breaker pattern — repeated failures to same domain don't trigger fallback behavior"],"requires":["Playwright page object","URL string","timeout value in milliseconds (default likely 30000ms)"],"input_types":["URL string","waitUntil option ('load', 'domcontentloaded', 'networkidle')","timeout in milliseconds"],"output_types":["Playwright page object (ready for content extraction)","navigation success/failure status","error message if navigation failed"],"categories":["automation-workflow","error-handling"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_5","uri":"capability://tool.use.integration.concurrent.crawl.request.handling.via.mcp","name":"concurrent crawl request handling via mcp","description":"Manages multiple simultaneous crawl requests from MCP clients by queuing and dispatching them to available Playwright browser instances. Implements request buffering and basic concurrency control to prevent resource exhaustion, though without explicit connection pooling or load balancing across multiple browser processes.","intents":["Process multiple crawl requests from AI agents without blocking on individual page loads","Scale crawling throughput by handling concurrent requests efficiently","Prevent resource exhaustion from unbounded concurrent browser instances"],"best_for":["Multi-agent systems making parallel crawl requests","High-throughput data collection pipelines","Scenarios with variable request arrival rates"],"limitations":["No explicit connection pooling — each concurrent crawl may spawn a new browser process","No load balancing or request prioritization — FIFO queue without priority levels","Memory usage scales linearly with concurrent requests (500MB+ per browser)","No metrics or observability for queue depth, request latency, or resource utilization","Single MCP server instance — no horizontal scaling or clustering support"],"requires":["MCP client capable of async/concurrent requests","Sufficient system memory for multiple browser processes","Node.js event loop capable of handling concurrent I/O"],"input_types":["multiple crawl requests from MCP client"],"output_types":["crawl results for each request","error responses for failed requests"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_6","uri":"capability://automation.workflow.cli.based.mcp.server.configuration.and.startup","name":"cli-based mcp server configuration and startup","description":"Provides command-line interface for starting the MCP server with configurable options (port, browser type, resource limits). Parses CLI arguments and environment variables to initialize the Playwright browser pool and MCP protocol handler, exposing the crawler as a tool to connected MCP clients.","intents":["Start the MCP crawler server with custom configuration without editing code","Specify browser type (Chromium, Firefox, WebKit) and resource constraints via CLI","Integrate the crawler into existing MCP client setups (Claude desktop, custom agents)"],"best_for":["Developers setting up local MCP servers for Claude desktop integration","Teams deploying crawlers in containerized environments with environment-based config","Users wanting quick setup without modifying source code"],"limitations":["Limited configuration options — likely only basic settings (port, browser type) exposed via CLI","No configuration file support (YAML/JSON) — all config via CLI args or env vars","No built-in service management (systemd, supervisor) — requires external process manager for production","No graceful shutdown handling — SIGTERM/SIGINT may leave browser processes orphaned"],"requires":["Node.js 16+","npm or yarn for installation","Command-line shell access","Playwright browser binaries installed"],"input_types":["CLI arguments (--port, --browser, etc.)","environment variables"],"output_types":["MCP server startup confirmation","server endpoint/port information","error messages if startup fails"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_7","uri":"capability://automation.workflow.browser.instance.lifecycle.management","name":"browser instance lifecycle management","description":"Manages Playwright browser instance creation, reuse, and cleanup across multiple crawl requests. Implements browser pooling to avoid expensive startup overhead, with automatic cleanup of stale or crashed browser processes and reconnection logic for failed instances.","intents":["Reuse browser instances across multiple crawls to reduce startup latency","Automatically recover from browser crashes without manual intervention","Clean up browser resources to prevent memory leaks in long-running crawlers"],"best_for":["Long-running crawler services handling hundreds of requests","Scenarios where browser startup latency is a bottleneck","Production deployments requiring high availability"],"limitations":["No explicit browser pool size configuration — unclear if pool is bounded or unbounded","No health checks or liveness probes for browser instances — crashed browsers may not be detected","Stale browser instances may accumulate if cleanup logic is incomplete","No metrics on pool utilization, instance reuse rates, or crash frequency","Browser context isolation unclear — may share cookies/storage across unrelated crawls"],"requires":["Playwright npm package","System resources for browser processes","Node.js event loop for async lifecycle management"],"input_types":["browser type (chromium, firefox, webkit)","browser launch options"],"output_types":["Playwright browser instance","page object for crawling"],"categories":["automation-workflow","resource-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_8","uri":"capability://automation.workflow.error.handling.and.graceful.degradation","name":"error handling and graceful degradation","description":"Implements error handling for common crawling failures (network errors, timeouts, selector mismatches, browser crashes) with graceful degradation strategies. Returns partial results or error details to MCP clients rather than crashing, allowing agents to decide whether to retry, use fallback data, or abandon the crawl.","intents":["Handle network failures and timeouts without crashing the MCP server","Return meaningful error messages to AI agents for debugging and decision-making","Continue crawling even when some selectors fail to match or pages partially load"],"best_for":["Robust crawling systems handling unreliable networks or flaky websites","AI agents that need to make decisions based on crawl success/failure","Production deployments requiring high availability"],"limitations":["No built-in retry logic — errors returned immediately without automatic retries","Limited error categorization — unclear if errors distinguish between network, timeout, and selector failures","No fallback strategies — agents must implement their own retry/fallback logic","Error messages may not be structured (JSON) — could be unstructured text","No error rate tracking or alerting — no visibility into failure patterns"],"requires":["MCP client capable of handling error responses","Error handling in client code to process failure cases"],"input_types":["crawl request"],"output_types":["error object with error type and message","partial crawl results if available","status code or error code"],"categories":["automation-workflow","error-handling"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-mcp-smart-crawler__cap_9","uri":"capability://automation.workflow.configurable.request.headers.and.user.agent.rotation","name":"configurable request headers and user-agent rotation","description":"Allows customization of HTTP request headers (User-Agent, Referer, Accept-Language) to mimic different browsers and devices, with built-in user-agent rotation to avoid detection as a bot. Supports device emulation profiles (mobile, tablet, desktop) with corresponding viewport and user-agent combinations, enabling crawling of mobile-specific content and bypassing simple bot detection.","intents":["I want to crawl mobile-specific content without a mobile device","I need to rotate user-agents to avoid bot detection","I want to emulate different browsers (Chrome, Firefox, Safari) for testing"],"best_for":["Crawlers targeting sites with bot detection","Teams scraping mobile-specific content","Researchers testing cross-browser rendering"],"limitations":["User-agent rotation alone doesn't defeat sophisticated bot detection (IP reputation, behavioral analysis)","Device emulation is visual only — doesn't emulate actual device hardware capabilities","Header customization may violate site terms of service","Rotating user-agents increases crawl fingerprint variability — may trigger rate limiting"],"requires":["List of user-agent strings or device profiles","Knowledge of target site's bot detection mechanisms"],"input_types":["User-agent string","Device profile (mobile, tablet, desktop)","Custom headers (object)"],"output_types":["Page content with emulated headers","Device-specific rendering"],"categories":["automation-workflow","bot-evasion"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","MCP-compatible client (Claude desktop, or custom MCP client implementation)","Playwright runtime dependencies (chromium, firefox, or webkit)","Playwright npm package (auto-installed with browsers)","System resources for browser processes (500MB+ RAM per concurrent browser)","Network access to target websites","Timeout duration (milliseconds)","Memory limit (MB)","CPU limit (percentage or cores)","Valid CSS selector or XPath expression"],"failure_modes":["Requires MCP client support — not compatible with standard REST API consumers","Single-threaded MCP server design may bottleneck concurrent crawl requests","No built-in request queuing or rate limiting at the MCP protocol level","Significantly slower than static HTTP crawlers — requires full browser startup and page rendering","Higher memory footprint per crawl due to browser process overhead","Browser instances may timeout on very slow or unresponsive pages","No built-in handling for browser crashes or process management across multiple concurrent crawls","Aggressive timeouts may fail on legitimately slow sites","Resource limits are process-level — no fine-grained per-operation limits","Timeout enforcement adds overhead (polling, signal handling)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.1532825694224799,"quality":0.47,"ecosystem":0.6000000000000001,"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":"2026-06-17T09:51:04.693Z","last_scraped_at":"2026-05-03T14:04:47.472Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":292,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcp-smart-crawler","compare_url":"https://unfragile.ai/compare?artifact=mcp-smart-crawler"}},"signature":"R45zJUGphI2mYgwH8EjUc0InA9bymEmaU764IFauhTqizShuf12IZoS0zaOg9vl7NlnY9aw734hKvR0bUUINDw==","signedAt":"2026-06-21T15:51:37.936Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcp-smart-crawler","artifact":"https://unfragile.ai/mcp-smart-crawler","verify":"https://unfragile.ai/api/v1/verify?slug=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"}}