- Implement marketplace frontend and admin dashboard
- Add FastAPI backend with environment-based configuration
- Use .env file for secrets management
- Include data generation scripts
- Add proper CORS configuration
- Remove hardcoded password from admin login
- Update gitignore for security
- Add comprehensive brand book with color system, typography, components
- Add page copy dropdown with markdown copy/view functionality
- Update mkdocs.yml with new assets and branding navigation
- Use terminal-style ASCII icons and condensed menu design
✨ New Features:
- Click2Crawl: Visual element selection with markdown conversion
- Ctrl/Cmd+Click to select multiple elements
- Visual text mode for WYSIWYG extraction
- Real-time markdown preview with syntax highlighting
- Export to .md file or clipboard
- Schema Builder Enhancement: Instant data extraction without LLMs
- Test schemas directly in browser
- See JSON results immediately
- Export data or Python code
- Cloud deployment ready (coming soon)
- Modular Architecture:
- Separated into schemaBuilder.js, scriptBuilder.js, click2CrawlBuilder.js
- Added contentAnalyzer.js and markdownConverter.js modules
- Shared utilities and CSS reset system
- Integrated marked.js for markdown rendering
🎨 UI/UX Improvements:
- Added edgy cloud announcement banner with seamless shimmer animation
- Direct, technical copy: "You don't need Puppeteer. You need Crawl4AI Cloud."
- Enhanced feature cards with emojis
- Fixed CSS conflicts with targeted reset approach
- Improved badge hover effects (red on hover)
- Added wrap toggle for code preview
📚 Documentation Updates:
- Split extraction diagrams into LLM and no-LLM versions
- Updated llms-full.txt with latest content
- Added versioned LLM context (v0.1.1)
🔧 Technical Enhancements:
- Refactored 3464 lines of monolithic content.js into modules
- Added proper event handling and cleanup
- Improved z-index management
- Better scroll position tracking for badges
- Enhanced error handling throughout
This release transforms the Chrome Extension from a simple tool into a powerful
visual data extraction suite, making web scraping accessible to everyone.
This commit introduces significant enhancements to the Crawl4AI ecosystem:
Chrome Extension - Script Builder (Alpha):
- Add recording functionality to capture user interactions (clicks, typing, scrolling)
- Implement smart event grouping for cleaner script generation
- Support export to both JavaScript and C4A script formats
- Add timeline view for visualizing and editing recorded actions
- Include wait commands (time-based and element-based)
- Add saved flows functionality for reusing automation scripts
- Update UI with consistent dark terminal theme (Dank Mono font, green/pink accents)
- Release new extension versions: v1.1.0, v1.2.0, v1.2.1
LLM Context Builder Improvements:
- Reorganize context files from llmtxt/ to llm.txt/ with better structure
- Separate diagram templates from text content (diagrams/ and txt/ subdirectories)
- Add comprehensive context files for all major Crawl4AI components
- Improve file naming convention for better discoverability
Documentation Updates:
- Update apps index page to match main documentation theme
- Standardize color scheme: "Available" tags use primary color (#50ffff)
- Change "Coming Soon" tags to dark gray for better visual hierarchy
- Add interactive two-column layout for extension landing page
- Include code examples for both Schema Builder and Script Builder features
Technical Improvements:
- Enhance event capture mechanism with better element selection
- Add support for contenteditable elements and complex form interactions
- Implement proper scroll event handling for both window and element scrolling
- Add meta key support for keyboard shortcuts
- Improve selector generation for more reliable element targeting
The Script Builder is released as Alpha, acknowledging potential bugs while providing
early access to this powerful automation recording feature.
- Created manifest.json for the Crawl4AI Assistant extension.
- Added popup HTML, CSS, and JS files for the extension interface.
- Included icons and favicon for the extension.
- Implemented functionality for schema capture and code generation.
- Updated index.md to reflect the availability of the new extension.
- Enhanced LLM Context Builder layout and styles for consistency.
- Adjusted global styles for better branding and responsiveness.
This commit introduces AsyncUrlSeeder, a high-performance URL discovery system that enables intelligent crawling at scale by pre-discovering and filtering URLs before crawling.
## Core Features
### AsyncUrlSeeder Component
- Discovers URLs from multiple sources:
- Sitemaps (including nested and gzipped)
- Common Crawl index
- Combined sources for maximum coverage
- Extracts page metadata without full crawling:
- Title, description, keywords
- Open Graph and Twitter Card tags
- JSON-LD structured data
- Language and charset information
- BM25 relevance scoring for intelligent filtering:
- Query-based URL discovery
- Configurable score thresholds
- Automatic ranking by relevance
- Performance optimizations:
- Async/concurrent processing with configurable workers
- Rate limiting (hits per second)
- Automatic caching with TTL
- Streaming results for large datasets
### SeedingConfig
- Comprehensive configuration for URL seeding:
- Source selection (sitemap, cc, or both)
- URL pattern filtering with wildcards
- Live URL validation options
- Metadata extraction controls
- BM25 scoring parameters
- Concurrency and rate limiting
### Integration with AsyncWebCrawler
- Seamless pipeline: discover → filter → crawl
- Direct compatibility with arun_many()
- Significant resource savings by pre-filtering URLs
## Documentation
- Comprehensive guide comparing URL seeding vs deep crawling
- Complete API reference with parameter tables
- Practical examples showing all features
- Performance benchmarks and best practices
- Integration patterns with AsyncWebCrawler
## Examples
- url_seeder_demo.py: Interactive Rich-based demo with:
- Basic discovery
- Cache management
- Live validation
- BM25 scoring
- Multi-domain discovery
- Complete pipeline integration
- url_seeder_quick_demo.py: Screenshot-friendly examples:
- Pattern-based filtering
- Metadata exploration
- Smart search with BM25
## Testing
- Comprehensive test suite (test_async_url_seeder_bm25.py)
- Coverage of all major features
- Edge cases and error handling
- Performance and consistency tests
## Implementation Details
- Built on httpx with HTTP/2 support
- Optional dependencies: lxml, brotli, rank_bm25
- Cache management in ~/.crawl4ai/seeder_cache/
- Logger integration with AsyncLoggerBase
- Proper error handling and retry logic
## Bug Fixes
- Fixed logger color compatibility (lightblack → bright_black)
- Corrected URL extraction from seeder results for arun_many()
- Updated all examples and documentation with proper usage
This feature enables users to crawl smarter, not harder, by discovering
and analyzing URLs before committing resources to crawling them.
- Fixed widespread typo: `temprature` → `temperature` across LLMConfig and related files
- Enhanced CSS/XPath selector guidance for more reliable LinkedIn data extraction
- Added Google Colab display server support for running Crawl4AI in notebook environments
- Improved browser debugging with verbose startup args logging
- Updated LinkedIn schemas and HTML snippets for better parsing accuracy
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Improve Ask AI button with better mobile support, animations, and positioning:
- Add button animations and hover effects
- Improve mobile responsiveness
- Add icon to button
- Fix positioning logic for different viewport sizes
- Add keyboard (Escape) support
Add comprehensive v0.6.0 release documentation:
- Create detailed release notes
- Update blog index with latest release
- Document all major features and breaking changes
BREAKING CHANGE: Documentation structure updated with new v0.6.0 section
Implements a responsive hamburger menu for mobile devices with the following changes:
- Add new mobile_menu.js for handling mobile navigation
- Update layout.css with mobile-specific styles and animations
- Enhance README with updated geolocation example
- Register mobile_menu.js in mkdocs.yml
The mobile menu includes:
- Hamburger button animation
- Slide-out sidebar
- Backdrop overlay
- Touch-friendly navigation
- Proper event handling
Add new AI assistant chat interface with features:
- Real-time chat with markdown support
- Chat history management
- Citation tracking
- Selection-to-query functionality
Also adds code copy button to documentation code blocks and adjusts layout/styling.
Breaking changes: None
Add new features to documentation UI:
- Add table of contents with scroll spy functionality
- Add GitHub repository statistics badge
- Implement new centered layout system with fixed sidebar
- Add conditional Playwright installation based on CRAWL4AI_MODE
Breaking changes: None
- Restructure multi-URL crawling documentation with better formatting and examples
- Update code examples to use new API syntax (arun_many)
- Add detailed parameter explanations for RateLimiter and Dispatchers
- Enhance CSS styling for better documentation readability
- Fix outdated method calls in feature demo script
BREAKING CHANGE: Updated dispatcher.run_urls() to crawler.arun_many() in examples
Update all documentation URLs from crawl4ai.com/mkdocs to docs.crawl4ai.com
Improve badges styling and layout in documentation
Increase code font size in documentation CSS
BREAKING CHANGE: Documentation URLs have changed from crawl4ai.com/mkdocs to docs.crawl4ai.com
Reorganize documentation into core/advanced/extraction sections for better navigation.
Update terminal theme styles and add rich library for better CLI output.
Remove redundant tutorial files and consolidate content into core sections.
Add personal story to index page for project context.
BREAKING CHANGE: Documentation structure has been significantly reorganized
