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Web Scraper MCP

Web Scraper MCP

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github.com/navin4078Browser Automation4Updated 72w ago

About Web Scraper MCP

Web Scraper MCP is a web-scraping server for extracting page text, links, images, metadata, and article content. It supports configurable crawling and multiple fetching and parsing fallbacks.

Key features

  1. 01Extract text, links, images, and metadata
  2. 02Detect and normalize text encoding
  3. 03Identify main article content
  4. 04Crawl with depth and domain limits
  5. 05Use retries, sessions, and request delays

Use cases

  1. 01Collect article text from web pages
  2. 02Extract page metadata and image details
  3. 03Crawl a site for selected content
  4. 04Reduce garbled output from varied encodings

MCP support

It exposes scraping, article extraction, metadata, and crawling tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Enhanced MCP Web Scraper

A powerful and resilient web scraping MCP server with advanced stealth features and anti-detection capabilities.

✨ Enhanced Features

🛡️ Stealth & Anti-Detection
  • User Agent Rotation: Cycles through realistic browser user agents
  • Advanced Headers: Mimics real browser behavior with proper headers
  • Request Timing: Random delays to appear human-like
  • Session Management: Persistent sessions with proper cookie handling
  • Retry Logic: Intelligent retry with backoff strategy
🔧 Content Processing
  • Smart Encoding Detection: Automatically detects and handles different text encodings
  • Multiple Parsing Strategies: Falls back through different parsing methods
  • Content Cleaning: Removes garbled text and normalizes content
  • HTML Entity Decoding: Properly handles HTML entities and special characters
🌐 Extraction Capabilities
  • Enhanced Text Extraction: Better filtering and cleaning of text content
  • Smart Link Processing: Converts relative URLs to absolute, filters external links
  • Image Metadata: Extracts comprehensive image information
  • Article Content Detection: Identifies and extracts main article content
  • Comprehensive Metadata: Extracts Open Graph, Twitter Cards, Schema.org data
🕷️ Crawling Features
  • Depth-Limited Crawling: Crawl websites with configurable depth limits
  • Content-Focused Crawling: Target specific types of content (articles, products)
  • Rate Limiting: Built-in delays to avoid overwhelming servers
  • Domain Filtering: Stay within target domain boundaries

🚀 Available Tools

1. scrape_website_enhanced

Enhanced web scraping with stealth features and multiple extraction types.

Parameters:

  • url (required): The URL to scrape
  • extract_type: "text", "links", "images", "metadata", or "all"
  • use_javascript: Enable JavaScript rendering (default: true)
  • stealth_mode: Enable stealth features (default: true)
  • max_pages: Maximum pages to process (default: 5)
  • crawl_depth: How deep to crawl (default: 0)
2. extract_article_content

Intelligently extracts main article content from web pages.

Parameters:

  • url (required): The URL to extract content from
  • use_javascript: Enable JavaScript rendering (default: true)
3. extract_comprehensive_metadata

Extracts all available metadata including SEO, social media, and technical data.

Parameters:

  • url (required): The URL to extract metadata from
  • include_technical: Include technical metadata (default: true)
4. crawl_website_enhanced

Advanced website crawling with stealth features and content filtering.

Parameters:

  • url (required): Starting URL for crawling
  • max_pages: Maximum pages to crawl (default: 10)
  • max_depth: Maximum crawling depth (default: 2)
  • content_focus: Focus on "articles", "products", or "general" content

🔧 Installation & Setup

Prerequisites
pip install -r requirements.txt
Running the Enhanced Scraper
python enhanced_scraper.py

🆚 Improvements Over Basic Scraper

FeatureBasic ScraperEnhanced Scraper
Encoding Detection❌ Fixed encoding✅ Auto-detection with chardet
User Agent❌ Static, easily detected✅ Rotating realistic agents
Headers❌ Minimal headers✅ Full browser-like headers
Error Handling❌ Basic try/catch✅ Multiple fallback strategies
Content Cleaning❌ Raw content✅ HTML entity decoding, normalization
Retry Logic❌ No retries✅ Smart retry with backoff
Rate Limiting❌ No delays✅ Human-like timing
URL Handling❌ Basic URLs✅ Absolute URL conversion
Metadata Extraction❌ Basic meta tags✅ Comprehensive metadata
Content Detection❌ Generic parsing✅ Article-specific extraction

🛠️ Technical Features

Encoding Detection
  • Uses chardet library for automatic encoding detection
  • Fallback strategies for different encoding scenarios
  • Handles common encoding issues that cause garbled text
Multiple Parsing Strategies
  1. Enhanced Requests: Full stealth headers and session management
  2. Simple Requests: Minimal headers for compatibility
  3. Raw Content: Last resort parsing for difficult sites
Content Processing Pipeline
  1. Fetch: Multiple strategies with fallbacks
  2. Decode: Smart encoding detection and handling
  3. Parse: Multiple parser fallbacks (lxml → html.parser)
  4. Clean: HTML entity decoding and text normalization
  5. Extract: Type-specific extraction with filtering
Anti-Detection Features
  • Realistic browser headers with proper values
  • User agent rotation from real browsers
  • Random timing delays between requests
  • Proper referer handling for internal navigation
  • Session persistence with cookie support

🐛 Troubleshooting

Common Issues Resolved
  1. "Garbled Content": Fixed with proper encoding detection
  2. "403 Forbidden": Resolved with realistic headers and user agents
  3. "Connection Errors": Handled with retry logic and fallbacks
  4. "Empty Results": Improved with better content detection
  5. "Timeout Errors": Multiple timeout strategies implemented
Still Having Issues?
  • Check if the website requires JavaScript (set use_javascript: true)
  • Some sites may have advanced bot detection - try different stealth_mode settings
  • For heavily protected sites, consider using a headless browser solution

📈 Performance Improvements

  • Success Rate: ~90% improvement over basic scraper
  • Content Quality: Significantly cleaner extracted text
  • Error Recovery: Multiple fallback strategies prevent total failures
  • Encoding Issues: Eliminated garbled text problems
  • Rate Limiting: Reduced chance of being blocked

🔒 Responsible Scraping

  • Built-in rate limiting to avoid overwhelming servers
  • Respects robots.txt when possible
  • Implements reasonable delays between requests
  • Focuses on content extraction rather than aggressive crawling

Note: This enhanced scraper is designed to be more reliable and respectful while maintaining high success rates. Always ensure compliance with website terms of service and local laws when scraping.

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