6.5 KiB
Phase 2 Completion Summary: Enhanced Data Extraction Tools
Date Completed: August 16, 2025
Session: Phase 2 Implementation
Status: ✅ COMPLETE - Ready for production use
🎉 Phase 2 Successfully Implemented!
Phase 2 of the cremote MCP server enhancement plan has been successfully completed, delivering powerful new data extraction capabilities that dramatically improve efficiency for LLM-driven web automation workflows.
✅ What Was Delivered
New Daemon Commands
extract-multiple
: Extract from multiple selectors in a single callextract-links
: Extract all links with advanced filtering optionsextract-table
: Extract table data as structured JSONextract-text
: Extract text content with pattern matching
New Client Methods
ExtractMultiple()
: Batch extraction from multiple selectorsExtractLinks()
: Link extraction with href/text pattern filteringExtractTable()
: Table data extraction with header processingExtractText()
: Text extraction with regex pattern matching
New MCP Tools
web_extract_multiple_cremotemcp
: Multi-selector batch extractionweb_extract_links_cremotemcp
: Advanced link extraction and filteringweb_extract_table_cremotemcp
: Structured table data extractionweb_extract_text_cremotemcp
: Pattern-based text extraction
New Data Structures
MultipleExtractionResult
: Structured results with error handlingLinksExtractionResult
: Rich link information with metadataTableExtractionResult
: Table data with headers and structured formatTextExtractionResult
: Text content with pattern matches
🚀 Key Benefits Achieved
For LLMs
- Reduced Round Trips: Extract multiple data points in single API calls
- Structured Data: Well-formatted JSON responses ready for processing
- Rich Context: Comprehensive data extraction provides better understanding
- Pattern Matching: Built-in regex support eliminates post-processing
- Error Handling: Graceful handling of missing elements with detailed feedback
For Developers
- Faster Automation: Bulk operations significantly speed up workflows
- Better Data Quality: Structured responses with consistent formatting
- Flexible Filtering: Advanced filtering options for precise data extraction
- Comprehensive Coverage: Tools handle common extraction scenarios
- Backward Compatibility: All existing tools continue to work unchanged
📊 Technical Implementation
Architecture Changes
All new functionality follows the established three-layer architecture:
-
Daemon Layer (
daemon/daemon.go
):- Lines 620-703: Command handlers for new extraction commands
- Lines 2542-2937: Implementation methods with timeout handling
-
Client Layer (
client/client.go
):- Lines 824-857: New data structures for structured responses
- Lines 989-1282: Client methods with parameter validation
-
MCP Layer (
mcp/main.go
):- Lines 933-1199: MCP tool definitions with comprehensive schemas
Key Features Implemented
- Batch Processing: Multiple selectors processed in single calls
- Advanced Filtering: Regex patterns for href and text filtering
- Structured Output: Consistent JSON formatting across all tools
- Error Resilience: Graceful handling of missing or invalid elements
- Timeout Management: Configurable timeouts for all operations
- Pattern Matching: Built-in regex support for text extraction
📚 Documentation Updates
Comprehensive Documentation
- README.md: Updated with Phase 2 tools and examples
- LLM_USAGE_GUIDE.md: Detailed usage instructions and patterns
- QUICK_REFERENCE.md: Updated tool list and essential parameters
- MCP_ENHANCEMENT_PLAN.md: Updated status and implementation details
New Usage Patterns
- Multi-selector data extraction workflows
- Advanced link discovery and filtering
- Table data processing and analysis
- Pattern-based text extraction examples
- Comprehensive site analysis workflows
🔧 Implementation Files
Core Implementation
daemon/daemon.go
: Enhanced with 4 new extraction commands and methodsclient/client.go
: Added 4 new data structures and client methodsmcp/main.go
: Added 4 new MCP tools with comprehensive schemas
Documentation
mcp/README.md
: Updated with Phase 2 tools and benefitsmcp/LLM_USAGE_GUIDE.md
: Comprehensive usage guide with examplesmcp/QUICK_REFERENCE.md
: Updated tool referenceMCP_ENHANCEMENT_PLAN.md
: Updated status and next steps
Testing
test_phase2_extraction.go
: Comprehensive test suite for validation
🎯 Real-World Use Cases
E-commerce Data Extraction
{
"name": "web_extract_multiple_cremotemcp",
"arguments": {
"selectors": {
"title": "h1.product-title",
"price": ".price-current",
"rating": ".rating-score",
"availability": ".stock-status"
}
}
}
Site Structure Analysis
{
"name": "web_extract_links_cremotemcp",
"arguments": {
"container_selector": "nav",
"href_pattern": "https://.*"
}
}
Data Table Processing
{
"name": "web_extract_table_cremotemcp",
"arguments": {
"selector": "#pricing-table",
"include_headers": true
}
}
Contact Information Extraction
{
"name": "web_extract_text_cremotemcp",
"arguments": {
"selector": ".contact-info",
"pattern": "\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Z|a-z]{2,}\\b"
}
}
🚀 Ready for Production
Phase 2 is now complete and ready for production deployment. All tools have been:
- ✅ Implemented: Full functionality across all three layers
- ✅ Documented: Comprehensive documentation and examples
- ✅ Validated: Implementation verified through testing
- ✅ Integrated: Seamlessly integrated with existing tools
🎯 Next Steps: Phase 3
With Phase 2 complete, the foundation is now ready for Phase 3: Form Analysis and Bulk Operations, which will focus on:
- Form Intelligence: Complete form analysis and understanding
- Bulk Interactions: Multiple form interactions in single calls
- Advanced Workflows: Complex multi-step automation patterns
The solid foundation established in Phases 1 and 2 provides the perfect base for these advanced capabilities.
Phase 2 Status: ✅ COMPLETE - Ready for production use
Next Phase: 🎯 Phase 3: Form Analysis and Bulk Operations
Foundation: Comprehensive extraction capabilities ready for advanced automation