mcp-hierarchical-scraper
MCP ServerFreeCrawl websites recursively to build a hierarchical map of pages. Convert HTML into clean, LLM-ready Markdown while stripping boilerplate. Accelerate research, grounding, and retrieval workflows with high-quality web context.
Capabilities3 decomposed
recursive web crawling for hierarchical mapping
Medium confidenceThis capability utilizes a depth-first search algorithm to recursively crawl websites, building a hierarchical map of pages. It identifies links and follows them while maintaining a record of the site structure, enabling users to visualize the relationships between pages. This approach is distinct as it optimally manages state and context during the crawl, ensuring that the hierarchy reflects the actual site architecture.
Employs a depth-first search strategy combined with intelligent link extraction to maintain context and state, which is not common in simpler scrapers.
More efficient than traditional scrapers that only follow links without maintaining a hierarchical context.
html to markdown conversion
Medium confidenceThis capability transforms HTML content into clean, LLM-ready Markdown by stripping out boilerplate code and unnecessary tags. It uses a custom parser that identifies semantic elements and converts them into Markdown equivalents, ensuring that the output is both readable and suitable for machine learning applications. This approach allows for high fidelity in content representation while simplifying the format.
Utilizes a custom-built parser that focuses on semantic HTML elements, ensuring high-quality Markdown output tailored for LLM use.
Produces cleaner and more structured Markdown than generic HTML-to-Markdown converters by focusing on LLM readiness.
contextual web content retrieval
Medium confidenceThis capability allows users to retrieve web content based on contextual queries by leveraging the hierarchical map built during the crawling process. It employs a semantic search algorithm that matches user queries with the structured data, providing relevant snippets and links. This ensures that users receive contextually appropriate results that are directly tied to their search intent.
Integrates a semantic search engine with the hierarchical map, allowing for context-aware retrieval that goes beyond keyword matching.
Offers more relevant and context-specific results compared to traditional keyword-based search systems.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓web developers analyzing site structure
- ✓researchers mapping content relationships
- ✓data scientists preparing training data
- ✓content creators needing clean text formats
- ✓researchers needing targeted information
- ✓developers building search functionalities
Known Limitations
- ⚠May encounter rate limiting on some websites, affecting crawl depth
- ⚠Not optimized for sites with heavy JavaScript rendering
- ⚠Complex HTML structures may not convert perfectly
- ⚠Limited support for advanced CSS styles
- ⚠Search results depend on the quality of the initial crawl
- ⚠May not handle ambiguous queries effectively
Requirements
Input / Output
UnfragileRank
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Repository Details
About
Crawl websites recursively to build a hierarchical map of pages. Convert HTML into clean, LLM-ready Markdown while stripping boilerplate. Accelerate research, grounding, and retrieval workflows with high-quality web context.
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