{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-webscraping-ai","slug":"webscraping-ai","name":"WebScraping.AI","type":"mcp","url":"https://github.com/webscraping-ai/webscraping-ai-mcp-server","page_url":"https://unfragile.ai/webscraping-ai","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-webscraping-ai__cap_0","uri":"capability://tool.use.integration.browser.based.web.scraping.with.javascript.execution","name":"browser-based web scraping with javascript execution","description":"Executes web scraping requests through a headless browser environment that fully renders JavaScript-heavy websites, enabling extraction of dynamically-loaded content that static HTML parsers cannot access. The MCP server acts as a bridge between Claude/LLM clients and WebScraping.AI's cloud-hosted browser infrastructure, handling session management and rendering state across multiple requests.","intents":["Extract data from single-page applications (SPAs) that load content via JavaScript","Scrape websites with dynamic content, infinite scroll, or lazy-loaded elements","Capture rendered HTML after all client-side JavaScript execution completes","Automate multi-step browser interactions like form submission and navigation"],"best_for":["LLM agents and autonomous systems needing to extract data from modern web applications","Developers building data pipelines that must handle JavaScript-rendered content","Teams automating competitive intelligence or market research workflows"],"limitations":["Depends on WebScraping.AI API availability and rate limits — no local fallback for offline operation","Browser rendering adds latency (typically 2-5 seconds per request) compared to static HTML parsing","Cannot handle websites with advanced anti-bot detection or CAPTCHA challenges without additional configuration","Limited control over browser fingerprinting and user-agent customization through MCP interface"],"requires":["WebScraping.AI API key (free tier available with usage limits)","MCP-compatible client (Claude Desktop, Cline, or custom MCP implementation)","Network connectivity to WebScraping.AI cloud infrastructure","Python 3.8+ or Node.js 16+ for running the MCP server locally"],"input_types":["URL string","CSS selectors for element targeting","JavaScript code snippets for custom extraction logic","HTTP headers and cookies for authenticated requests"],"output_types":["Rendered HTML markup","Extracted structured data (JSON)","Screenshot images of rendered pages","Raw text content"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_1","uri":"capability://data.processing.analysis.intelligent.content.extraction.with.css.xpath.selectors","name":"intelligent content extraction with css/xpath selectors","description":"Provides structured data extraction from scraped HTML using CSS selectors and XPath expressions, with optional AI-powered element identification that can locate target data without explicit selector specification. The MCP server translates high-level extraction intents into selector queries executed server-side, returning parsed and validated structured data.","intents":["Extract specific data fields (price, title, description) from product pages without writing selectors","Parse tables, lists, and nested data structures into JSON objects","Validate extracted data against expected schemas before returning results","Handle dynamic selector discovery when page structure varies across similar sites"],"best_for":["Non-technical users building scraping workflows through LLM agents","Data engineers needing quick prototyping of extraction patterns","Teams handling multiple similar websites with varying HTML structures"],"limitations":["AI-powered selector discovery requires additional API calls, increasing latency and cost","Selector-based extraction fails silently if page structure changes — no built-in monitoring or alerts","Cannot extract data from obfuscated or heavily JavaScript-rendered content without full page rendering","Limited support for complex multi-step extraction logic (e.g., conditional extraction based on page state)"],"requires":["WebScraping.AI API key","Valid URL pointing to HTML content","CSS selectors or XPath expressions (optional if using AI-powered discovery)","MCP client with function-calling support"],"input_types":["HTML markup (from prior scraping operation)","CSS selector strings","XPath expressions","Natural language descriptions of target data"],"output_types":["JSON objects with extracted fields","Validated structured data","CSV/TSV formatted tables","Raw text content"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_2","uri":"capability://automation.workflow.multi.step.web.automation.with.state.persistence","name":"multi-step web automation with state persistence","description":"Orchestrates sequences of browser actions (navigation, form submission, clicking, scrolling) across multiple HTTP requests while maintaining session state, cookies, and JavaScript context. The MCP server manages browser session lifecycle, allowing LLM agents to issue sequential commands that build on previous interactions without re-initializing the browser.","intents":["Automate login flows and authenticated data extraction from protected pages","Execute multi-page workflows like search → filter → extract across navigation steps","Maintain session state across multiple scraping operations on the same domain","Handle dynamic content that requires user interaction (clicking, scrolling) to load"],"best_for":["Autonomous agents performing complex data collection workflows","Teams automating authenticated API testing or web application monitoring","Developers building chatbots that need to interact with web applications on behalf of users"],"limitations":["Session state is ephemeral — browser sessions timeout after inactivity (typically 5-10 minutes), requiring re-authentication","No built-in transaction rollback — failed steps in a workflow may leave the browser in an inconsistent state","Complex workflows with many sequential steps accumulate latency (each step adds 1-3 seconds)","Limited visibility into browser errors — failures may not provide actionable debugging information to the LLM agent"],"requires":["WebScraping.AI API key with session management support","MCP client capable of maintaining conversation context across multiple tool calls","Stable network connection (session timeouts on network interruption)","Target website must not have aggressive rate-limiting or bot detection"],"input_types":["URL for initial navigation","Action sequences (click, type, scroll, wait)","CSS selectors for element targeting","Form data for submission","Wait conditions (element visibility, text content)"],"output_types":["Rendered HTML after each action","Screenshot images of page state","Extracted data from intermediate steps","Session metadata (cookies, headers)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_3","uri":"capability://image.visual.screenshot.capture.and.visual.page.analysis","name":"screenshot capture and visual page analysis","description":"Captures full-page or viewport screenshots of rendered websites and optionally analyzes visual content using computer vision, enabling LLM agents to understand page layout, visual hierarchy, and UI elements without parsing HTML. Screenshots are returned as base64-encoded images or URLs, compatible with multimodal LLM analysis.","intents":["Verify visual rendering of websites across different viewport sizes","Analyze page layout and UI structure for accessibility or design compliance","Capture evidence of dynamic content or animations that HTML parsing cannot represent","Enable multimodal LLM agents to reason about visual design and user experience"],"best_for":["QA teams automating visual regression testing through LLM agents","Accessibility auditing workflows that require visual analysis","Multimodal AI systems that combine visual and textual understanding of web content"],"limitations":["Screenshots are static snapshots — cannot capture animations, hover states, or interactive elements","Large screenshots (full-page captures) may exceed token limits in LLM context windows","Visual analysis requires multimodal LLM capabilities — not all models support image input","Screenshot quality depends on viewport size and rendering engine — may not match user's actual browser experience"],"requires":["WebScraping.AI API key with screenshot capability","MCP client supporting image/base64 output types","Multimodal LLM for visual analysis (Claude 3+, GPT-4V, etc.)","Sufficient token budget for image encoding in LLM context"],"input_types":["URL for page to capture","Viewport dimensions (width, height)","Scroll position or element selector for partial captures","Rendering delay (wait time before capture)"],"output_types":["Base64-encoded PNG/JPEG images","Image URLs (if stored server-side)","Image metadata (dimensions, file size)","Visual analysis results (if using vision API)"],"categories":["image-visual","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_4","uri":"capability://tool.use.integration.proxy.and.header.management.for.authenticated.scraping","name":"proxy and header management for authenticated scraping","description":"Manages HTTP headers, cookies, and proxy configuration for scraping requests, enabling extraction from authenticated endpoints or websites with IP-based restrictions. The MCP server handles credential injection and proxy routing transparently, allowing LLM agents to specify authentication requirements without exposing sensitive credentials in prompts.","intents":["Scrape data from authenticated APIs or websites requiring login credentials","Bypass IP-based rate limiting or geo-blocking using proxy rotation","Inject custom headers (User-Agent, Authorization, Referer) for specific websites","Maintain consistent identity across multiple scraping requests to the same domain"],"best_for":["Teams scraping authenticated data sources (internal dashboards, subscription services)","Developers building data pipelines that require proxy rotation for scale","Security-conscious organizations needing to manage credentials outside of LLM prompts"],"limitations":["Proxy configuration is static per request — no dynamic proxy rotation based on response codes","Credentials stored in MCP server configuration are at risk if server is compromised","Some websites detect and block requests from known proxy IP ranges","No built-in credential rotation or expiration management — requires manual updates"],"requires":["WebScraping.AI API key with proxy support","Proxy server credentials (if using authenticated proxies)","Target website credentials (if scraping authenticated content)","MCP server configuration with secure credential storage"],"input_types":["HTTP headers (as key-value pairs)","Cookie strings or cookie jar objects","Proxy URLs (with optional authentication)","Authentication tokens or API keys","User-Agent strings"],"output_types":["Rendered HTML with authenticated content","Response headers (for debugging)","Cookie updates (for session management)","Proxy rotation logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_5","uri":"capability://automation.workflow.rate.limiting.and.request.throttling.with.backoff","name":"rate limiting and request throttling with backoff","description":"Implements client-side rate limiting and exponential backoff strategies to respect target website rate limits and avoid triggering anti-bot detection. The MCP server queues scraping requests and automatically throttles execution based on response codes (429, 503) and configurable delay policies, protecting both the client and target website from overload.","intents":["Scrape large datasets without triggering rate limiting or IP bans","Automatically retry failed requests with exponential backoff","Respect robots.txt and website-specified rate limits","Distribute requests across time to avoid detection as bot traffic"],"best_for":["Teams performing large-scale data collection with strict rate limit requirements","Developers building respectful web scrapers that comply with website policies","Autonomous agents that need to handle rate limiting gracefully without human intervention"],"limitations":["Rate limiting is client-side only — does not prevent other clients from triggering shared rate limits","Backoff strategies are generic — may not match website-specific rate limit windows","No built-in detection of soft rate limiting (subtle delays, degraded responses) — only handles explicit 429/503 codes","Throttling adds latency to scraping workflows — large datasets may take significantly longer to collect"],"requires":["WebScraping.AI API key","Configuration of rate limit parameters (requests per second, backoff multiplier)","Target website's rate limit policy (if available)","Patience for long-running scraping jobs"],"input_types":["Scraping request queue","Rate limit configuration (requests/second, max retries)","Backoff strategy (exponential, linear, custom)","Timeout and retry policies"],"output_types":["Throttled request execution logs","Retry attempt metadata","Rate limit status and remaining quota","Estimated completion time for request queue"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_6","uri":"capability://automation.workflow.error.handling.and.retry.logic.with.fallback.strategies","name":"error handling and retry logic with fallback strategies","description":"Provides robust error handling for scraping failures (network timeouts, parsing errors, rendering failures) with configurable retry strategies and fallback mechanisms. The MCP server catches exceptions, logs diagnostic information, and automatically retries failed requests or switches to alternative extraction methods without requiring agent intervention.","intents":["Automatically retry failed scraping requests without manual intervention","Gracefully handle transient network failures and timeouts","Fall back to alternative extraction methods (e.g., static HTML if JavaScript rendering fails)","Provide detailed error diagnostics to LLM agents for debugging"],"best_for":["Autonomous agents performing unattended scraping workflows","Teams building reliable data pipelines that must handle transient failures","Developers needing detailed error diagnostics for debugging scraping issues"],"limitations":["Retry logic cannot distinguish between transient and permanent failures — may waste API quota on unrecoverable errors","Fallback strategies are predefined — cannot adapt to novel failure modes","Error diagnostics are limited to HTTP status codes and timeout information — no deep inspection of rendering failures","Retries add latency and cost — excessive retries may exceed API rate limits or quotas"],"requires":["WebScraping.AI API key","Configuration of retry policies (max retries, backoff strategy)","Fallback extraction methods (if using alternative strategies)","MCP client capable of handling error responses"],"input_types":["Scraping request with retry configuration","Fallback strategy specification","Error classification rules","Timeout and deadline settings"],"output_types":["Successful scraping result (after retries)","Detailed error logs with diagnostic information","Fallback extraction results","Retry attempt metadata (count, delays, final status)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-webscraping-ai__cap_7","uri":"capability://automation.workflow.batch.scraping.with.job.queuing.and.progress.tracking","name":"batch scraping with job queuing and progress tracking","description":"Enables submission of multiple scraping jobs as a batch with centralized queue management, progress tracking, and result aggregation. The MCP server manages job lifecycle (queued, running, completed, failed), provides real-time progress updates, and returns aggregated results once all jobs complete or timeout.","intents":["Scrape hundreds or thousands of URLs efficiently without blocking on individual requests","Monitor progress of long-running scraping campaigns in real-time","Aggregate results from multiple scraping jobs into a single dataset","Handle job failures gracefully without losing progress on completed jobs"],"best_for":["Teams performing large-scale data collection campaigns","Autonomous agents managing complex multi-URL scraping workflows","Data engineers building ETL pipelines with web scraping components"],"limitations":["Batch processing adds complexity — requires polling for job status or webhook support","Job queue is not persistent — server restart may lose queued jobs","No built-in deduplication — duplicate URLs in batch will be scraped multiple times","Progress tracking is approximate — actual completion time depends on rate limiting and network conditions"],"requires":["WebScraping.AI API key with batch processing support","MCP client capable of polling for job status or receiving webhooks","Sufficient API quota for batch size","Patience for long-running batch jobs"],"input_types":["List of URLs to scrape","Extraction configuration (selectors, JavaScript code)","Job-level settings (timeout, retry policy, priority)","Aggregation rules (merge results, deduplicate)"],"output_types":["Batch job ID","Progress updates (jobs completed, failed, pending)","Aggregated results (JSON, CSV)","Per-job status and error logs"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["WebScraping.AI API key (free tier available with usage limits)","MCP-compatible client (Claude Desktop, Cline, or custom MCP implementation)","Network connectivity to WebScraping.AI cloud infrastructure","Python 3.8+ or Node.js 16+ for running the MCP server locally","WebScraping.AI API key","Valid URL pointing to HTML content","CSS selectors or XPath expressions (optional if using AI-powered discovery)","MCP client with function-calling support","WebScraping.AI API key with session management support","MCP client capable of maintaining conversation context across multiple tool calls"],"failure_modes":["Depends on WebScraping.AI API availability and rate limits — no local fallback for offline operation","Browser rendering adds latency (typically 2-5 seconds per request) compared to static HTML parsing","Cannot handle websites with advanced anti-bot detection or CAPTCHA challenges without additional configuration","Limited control over browser fingerprinting and user-agent customization through MCP interface","AI-powered selector discovery requires additional API calls, increasing latency and cost","Selector-based extraction fails silently if page structure changes — no built-in monitoring or alerts","Cannot extract data from obfuscated or heavily JavaScript-rendered content without full page rendering","Limited support for complex multi-step extraction logic (e.g., conditional extraction based on page state)","Session state is ephemeral — browser sessions timeout after inactivity (typically 5-10 minutes), requiring re-authentication","No built-in transaction rollback — failed steps in a workflow may leave the browser in an inconsistent state","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.41,"ecosystem":0.39999999999999997,"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":"2026-06-17T09:51:04.689Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=webscraping-ai","compare_url":"https://unfragile.ai/compare?artifact=webscraping-ai"}},"signature":"MFjMDIMswWFkvk6udsiopJC6oRZUwrQQ0w7L+3awmm5/cm/5sXXHEqlLuLdvs9/NEJykO0dFgATz6551haEkAg==","signedAt":"2026-06-20T02:01:01.470Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/webscraping-ai","artifact":"https://unfragile.ai/webscraping-ai","verify":"https://unfragile.ai/api/v1/verify?slug=webscraping-ai","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"}}