{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-anycrawl","slug":"anycrawl","name":"AnyCrawl","type":"mcp","url":"https://github.com/any4ai/anycrawl-mcp-server","page_url":"https://unfragile.ai/anycrawl","categories":["mcp-servers","app-builders"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-anycrawl__cap_0","uri":"capability://tool.use.integration.mcp.native.web.scraping.with.llm.client.integration","name":"mcp-native web scraping with llm client integration","description":"Exposes web scraping capabilities through the Model Context Protocol (MCP), enabling Claude, Cursor, and other LLM clients to invoke scraping operations as native tools without HTTP polling or custom integrations. Implements MCP resource and tool handlers that translate LLM function calls into scraping directives, managing request/response serialization and error handling within the MCP message protocol.","intents":["I want Claude to autonomously scrape web content and use it in reasoning chains without leaving the chat interface","I need to build an LLM agent that can fetch live web data as part of multi-step workflows","I want to expose scraping capabilities to Cursor without writing custom API endpoints"],"best_for":["LLM application developers building agents with Claude or Cursor","Teams deploying MCP servers for enterprise LLM integrations","Solo developers prototyping AI tools that need live web data access"],"limitations":["Requires MCP client support — not compatible with REST-only LLM APIs","Latency depends on MCP server deployment location and network conditions","No built-in request queuing or rate limiting — relies on upstream LLM client throttling"],"requires":["MCP-compatible client (Claude Desktop, Cursor, or custom MCP client)","Node.js 16+ runtime for the MCP server","Network access to target websites"],"input_types":["URL strings","CSS selectors or XPath expressions","JSON configuration objects"],"output_types":["HTML/text content","Structured JSON extracted from pages","Markdown-formatted content"],"categories":["tool-use-integration","mcp-protocol"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_1","uri":"capability://data.processing.analysis.dynamic.html.parsing.and.content.extraction","name":"dynamic html parsing and content extraction","description":"Parses fetched HTML documents using a DOM-aware parser (likely Cheerio or similar) and extracts structured content via CSS selectors, XPath expressions, or heuristic-based content detection. Supports both explicit selector-based extraction and automatic content identification for common patterns (articles, tables, lists), returning cleaned text or structured JSON representations.","intents":["I need to extract specific data from a webpage using CSS selectors without writing custom parsing code","I want to automatically identify and extract article content, metadata, and body text from news sites","I need to convert HTML tables into structured JSON for downstream processing"],"best_for":["Data engineers building ETL pipelines that source web content","LLM application developers who need structured data from unstructured HTML","Researchers scraping multiple sites with varying HTML structures"],"limitations":["CSS selectors and XPath are brittle against HTML structure changes — requires maintenance when sites redesign","Heuristic content detection may fail on non-standard layouts or heavily JavaScript-rendered content","No built-in handling for dynamic content loaded after page render — requires headless browser integration"],"requires":["Valid HTML input (from HTTP fetch or pre-downloaded content)","Knowledge of target page structure for selector-based extraction","Node.js 16+ for DOM parsing libraries"],"input_types":["HTML strings","CSS selector strings","XPath expressions","Configuration objects specifying extraction rules"],"output_types":["Plain text","JSON objects","Markdown formatted content","Structured arrays of extracted records"],"categories":["data-processing-analysis","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_10","uri":"capability://automation.workflow.rate.limiting.and.request.throttling.with.adaptive.backoff","name":"rate limiting and request throttling with adaptive backoff","description":"Implements client-side rate limiting with configurable requests-per-second limits, adaptive backoff based on HTTP 429/503 responses, and optional integration with target site's robots.txt crawl-delay directives. Tracks request history per domain and automatically throttles subsequent requests if rate limits are detected.","intents":["I want to scrape responsibly without overwhelming target servers","I need to respect robots.txt crawl-delay directives automatically","I want adaptive backoff that responds to 429 rate limit responses"],"best_for":["Ethical web scrapers and data engineers","Teams building production crawlers that need to respect server resources","Developers scraping sites with strict rate limiting"],"limitations":["Rate limiting is per-server instance — distributed crawling requires external coordination","robots.txt parsing is basic — complex directives may not be fully respected","Adaptive backoff may be too conservative for some use cases, reducing throughput","No built-in support for site-specific rate limit headers beyond standard HTTP 429"],"requires":["Configuration object specifying requests-per-second limit","Optional robots.txt parsing flag"],"input_types":["Configuration object with rate limit parameters"],"output_types":["Throttled HTTP requests with appropriate delays"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_11","uri":"capability://memory.knowledge.caching.and.deduplication.of.scraped.content","name":"caching and deduplication of scraped content","description":"Maintains an in-memory or persistent cache of scraped content keyed by URL, with configurable TTL (time-to-live) and cache invalidation strategies. Deduplicates requests for the same URL within a session or across sessions, reducing redundant network requests and improving performance for repeated scraping patterns.","intents":["I want to avoid re-scraping the same URL multiple times in a single agent workflow","I need persistent caching of scraped content across multiple LLM client sessions","I want to check if content has changed before re-fetching"],"best_for":["LLM applications with repeated scraping patterns","Data pipelines that process the same sources multiple times","Teams building cost-conscious scrapers that minimize network requests"],"limitations":["In-memory cache is lost on server restart — requires external persistence for durability","Cache invalidation is TTL-based only — no built-in change detection or conditional requests","Cache key is URL only — same URL with different extraction parameters may return stale content","No built-in cache eviction policy — memory usage grows unbounded without external limits"],"requires":["Configuration object specifying cache TTL and storage backend","Optional external cache storage (Redis, file system, database)"],"input_types":["URL strings","Configuration object with cache parameters"],"output_types":["Cached or freshly-fetched content with cache status indicator"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_2","uri":"capability://automation.workflow.headless.browser.based.crawling.with.javascript.execution","name":"headless browser-based crawling with javascript execution","description":"Optionally uses a headless browser engine (Puppeteer, Playwright, or similar) to render JavaScript-heavy pages before scraping, enabling extraction from single-page applications and dynamically-loaded content. Manages browser lifecycle, page navigation, and DOM state changes, with configurable wait conditions (network idle, element visibility, custom timeouts) to ensure content is fully loaded before extraction.","intents":["I need to scrape content from a React/Vue/Angular SPA that loads data via JavaScript","I want to wait for specific elements to appear on the page before extracting data","I need to interact with pages (click buttons, fill forms) before scraping the resulting content"],"best_for":["Developers scraping modern web applications with heavy client-side rendering","Teams building bots that need to interact with dynamic content","Data engineers extracting from sites where content is loaded asynchronously"],"limitations":["Headless browser execution adds 2-10 second latency per page compared to static HTML parsing","Requires significant memory overhead — not suitable for high-concurrency scraping without resource pooling","Browser automation can be detected and blocked by anti-bot measures","Chromium/Firefox binary dependencies add ~200MB to deployment size"],"requires":["Headless browser binary (Chromium or Firefox) installed or available via npm","Node.js 16+ with sufficient memory (minimum 512MB per concurrent browser instance)","Network access to target websites"],"input_types":["URLs","CSS selectors for wait conditions","JavaScript code to execute in page context","Configuration objects specifying navigation and interaction steps"],"output_types":["Rendered HTML after JavaScript execution","Extracted content from dynamically-loaded elements","Screenshots or page state snapshots"],"categories":["automation-workflow","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_3","uri":"capability://automation.workflow.batch.url.crawling.with.configurable.concurrency.and.retry.logic","name":"batch url crawling with configurable concurrency and retry logic","description":"Processes multiple URLs in parallel with configurable concurrency limits, implementing exponential backoff retry logic for failed requests and automatic handling of HTTP errors (429, 503, timeouts). Maintains crawl state and progress tracking, allowing resumption of interrupted crawls and deduplication of already-fetched URLs within a session.","intents":["I need to scrape 100+ URLs efficiently without overwhelming the target server or my own resources","I want automatic retry handling for transient network failures and rate limiting","I need to resume a large crawl job that was interrupted without re-fetching already-processed URLs"],"best_for":["Data engineers building large-scale web scraping pipelines","Researchers collecting datasets from multiple sources","LLM application developers who need to ingest content from many URLs in a single agent step"],"limitations":["Concurrency limits are per-server instance — distributed crawling requires external coordination","No built-in persistence of crawl state — interruptions require external checkpointing","Retry logic is exponential backoff only — no adaptive strategies for different error types","Memory usage scales with number of pending requests — very large batches (10k+ URLs) may require pagination"],"requires":["Array of valid URLs","Configuration object specifying concurrency (default likely 5-10), timeout, and retry parameters","Node.js 16+ with sufficient memory for concurrent connections"],"input_types":["Array of URL strings","Configuration object with concurrency, timeout, retry count, backoff strategy"],"output_types":["Array of crawl results with status, content, and metadata per URL","Progress/status stream for long-running crawls","Error report with failed URLs and retry counts"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_4","uri":"capability://tool.use.integration.user.agent.and.header.customization.for.request.spoofing","name":"user-agent and header customization for request spoofing","description":"Allows configuration of HTTP headers (User-Agent, Accept-Language, Referer, custom headers) to mimic different browsers, devices, or API clients. Supports rotating User-Agent strings and header profiles to avoid detection by anti-bot systems, with preset profiles for common browsers and devices.","intents":["I need to scrape a site that blocks requests from non-browser User-Agents","I want to rotate User-Agents across multiple requests to avoid detection","I need to set custom headers to mimic a specific browser or mobile device"],"best_for":["Developers scraping sites with basic anti-bot detection","Researchers collecting data from sites that require browser-like requests","Teams building bots that need to appear as legitimate browser traffic"],"limitations":["Header spoofing alone is insufficient against sophisticated anti-bot systems (JavaScript challenges, IP reputation, behavioral analysis)","Rotating User-Agents without corresponding TLS fingerprint changes may still be detected","No built-in proxy rotation or IP masking — requires external proxy service for advanced evasion"],"requires":["Configuration object specifying headers or preset profile name","Knowledge of target site's detection mechanisms to choose appropriate headers"],"input_types":["Header configuration object","Preset profile names (e.g., 'chrome-latest', 'safari-mobile')","Custom User-Agent strings"],"output_types":["HTTP requests with customized headers"],"categories":["tool-use-integration","web-scraping"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_5","uri":"capability://data.processing.analysis.automatic.content.cleaning.and.normalization","name":"automatic content cleaning and normalization","description":"Post-processes extracted content to remove boilerplate (navigation, ads, footers), normalize whitespace and encoding, and optionally convert to Markdown format. Uses heuristic-based or DOM-based approaches to identify main content areas and strip irrelevant elements, improving signal-to-noise ratio for downstream LLM processing.","intents":["I want to extract just the article content without navigation, ads, and sidebar clutter","I need to convert HTML content to clean Markdown for LLM context","I want to normalize whitespace and fix encoding issues in scraped text"],"best_for":["LLM application developers who need clean content for context windows","Data engineers building content pipelines that feed into language models","Researchers collecting training data from web sources"],"limitations":["Heuristic-based cleaning may remove legitimate content on non-standard layouts","Markdown conversion from HTML is lossy — complex layouts and styling are not preserved","No built-in handling for multilingual content or special character encoding edge cases"],"requires":["HTML or text content input","Optional configuration for cleaning aggressiveness and output format"],"input_types":["HTML strings","Raw text content"],"output_types":["Cleaned plain text","Markdown formatted content","Structured content with metadata (title, author, publish date)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_6","uri":"capability://data.processing.analysis.metadata.extraction.and.structured.output.formatting","name":"metadata extraction and structured output formatting","description":"Automatically extracts metadata (title, description, author, publish date, image URLs) from HTML pages using Open Graph, Twitter Card, Schema.org, and other semantic markup standards. Returns structured JSON with extracted metadata alongside content, enabling LLM clients to access both raw content and machine-readable attributes.","intents":["I need to extract article metadata (title, author, date) along with content for indexing","I want to get Open Graph image and description for social media sharing","I need structured data from pages that use Schema.org markup"],"best_for":["Content aggregation and indexing applications","LLM applications that need to cite sources with metadata","Teams building knowledge bases from web content"],"limitations":["Metadata extraction depends on page authors properly implementing semantic markup — fallback heuristics may be inaccurate","Different sites use different metadata standards — extraction may be inconsistent across sources","No built-in handling for non-English metadata or localized content"],"requires":["HTML content with semantic markup (Open Graph, Schema.org, Twitter Cards)","Optional fallback heuristics for pages without proper markup"],"input_types":["HTML strings"],"output_types":["JSON object with extracted metadata fields (title, description, author, publishDate, image, etc.)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_7","uri":"capability://automation.workflow.cookie.and.session.management.for.authenticated.scraping","name":"cookie and session management for authenticated scraping","description":"Manages HTTP cookies and session state across multiple requests, allowing scraping of pages that require authentication or maintain user sessions. Supports cookie jar persistence, manual cookie injection, and optional integration with headless browser sessions for login workflows.","intents":["I need to scrape content from a site that requires login authentication","I want to maintain session state across multiple page requests","I need to inject specific cookies to access restricted content"],"best_for":["Developers scraping authenticated APIs or gated content","Teams building bots that need to maintain user sessions","Researchers accessing paywalled or member-only content"],"limitations":["Cookie-based authentication is fragile — session tokens may expire or be invalidated","No built-in support for multi-factor authentication or CAPTCHA challenges","Storing credentials in configuration is a security risk — requires external secret management","Session state is not persisted across server restarts without external storage"],"requires":["Valid authentication credentials or session cookies","Configuration object specifying cookie jar location or cookie values","Optional headless browser for login automation"],"input_types":["Cookie strings or cookie jar files","Configuration object with authentication parameters"],"output_types":["HTTP requests with cookies attached","Authenticated page content"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-anycrawl__cap_8","uri":"capability://tool.use.integration.proxy.and.vpn.integration.for.request.routing","name":"proxy and vpn integration for request routing","description":"Supports routing HTTP requests through configurable proxy servers (HTTP, HTTPS, SOCKS5) or VPN connections, enabling geographic spoofing, IP rotation, and circumvention of IP-based rate limiting. 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