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* Fix: Use correct URL variable for raw HTML extraction (#1116) - Prevents full HTML content from being passed as URL to extraction strategies - Added unit tests to verify raw HTML and regular URL processing Fix: Wrong URL variable used for extraction of raw html * Fix #1181: Preserve whitespace in code blocks during HTML scraping The remove_empty_elements_fast() method was removing whitespace-only span elements inside <pre> and <code> tags, causing import statements like "import torch" to become "importtorch". Now skips elements inside code blocks where whitespace is significant. * Refactor Pydantic model configuration to use ConfigDict for arbitrary types * Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621 * Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638 * fix: ensure BrowserConfig.to_dict serializes proxy_config * feat: make LLM backoff configurable end-to-end - extend LLMConfig with backoff delay/attempt/factor fields and thread them through LLMExtractionStrategy, LLMContentFilter, table extraction, and Docker API handlers - expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff and document them in the md_v2 guides * reproduced AttributeError from #1642 * pass timeout parameter to docker client request * added missing deep crawling objects to init * generalized query in ContentRelevanceFilter to be a str or list * import modules from enhanceable deserialization * parameterized tests * Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268 * refactor: replace PyPDF2 with pypdf across the codebase. ref #1412 * announcement: add application form for cloud API closed beta * Release v0.7.8: Stability & Bug Fix Release - Updated version to 0.7.8 - Introduced focused stability release addressing 11 community-reported bugs. - Key fixes include Docker API improvements, LLM extraction enhancements, URL handling corrections, and dependency updates. - Added detailed release notes for v0.7.8 in the blog and created a dedicated verification script to ensure all fixes are functioning as intended. - Updated documentation to reflect recent changes and improvements. * docs: add section for Crawl4AI Cloud API closed beta with application link * fix: add disk cleanup step to Docker workflow --------- Co-authored-by: rbushria <rbushri@gmail.com> Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com> Co-authored-by: Soham Kukreti <kukretisoham@gmail.com> Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com> Co-authored-by: Aravind Karnam <aravind.karanam@gmail.com>
98 lines
5.5 KiB
Markdown
98 lines
5.5 KiB
Markdown
# Crawl4AI Blog
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Welcome to the Crawl4AI blog! Here you'll find detailed release notes, technical insights, and updates about the project. Whether you're looking for the latest improvements or want to dive deep into web crawling techniques, this is the place.
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## Featured Articles
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### [When to Stop Crawling: The Art of Knowing "Enough"](articles/adaptive-crawling-revolution.md)
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*January 29, 2025*
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Traditional crawlers are like tourists with unlimited time—they'll visit every street, every alley, every dead end. But what if your crawler could think like a researcher with a deadline? Discover how Adaptive Crawling revolutionizes web scraping by knowing when to stop. Learn about the three-layer intelligence system that evaluates coverage, consistency, and saturation to build focused knowledge bases instead of endless page collections.
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[Read the full article →](articles/adaptive-crawling-revolution.md)
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### [The LLM Context Protocol: Why Your AI Assistant Needs Memory, Reasoning, and Examples](articles/llm-context-revolution.md)
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*January 24, 2025*
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Ever wondered why your AI coding assistant struggles with your library despite comprehensive documentation? This article introduces the three-dimensional context protocol that transforms how AI understands code. Learn why memory, reasoning, and examples together create wisdom—not just information.
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[Read the full article →](articles/llm-context-revolution.md)
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## Latest Release
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### [Crawl4AI v0.7.8 – Stability & Bug Fix Release](../blog/release-v0.7.8.md)
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*December 2025*
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Crawl4AI v0.7.8 is a focused stability release addressing 11 bugs reported by the community. While there are no new features, these fixes resolve important issues affecting Docker deployments, LLM extraction, URL handling, and dependency compatibility.
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Key highlights:
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- **🐳 Docker API Fixes**: ContentRelevanceFilter deserialization, ProxyConfig serialization, cache folder permissions
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- **🤖 LLM Improvements**: Configurable rate limiter backoff, HTML input format support, raw HTML URL handling
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- **🔗 URL Handling**: Correct relative URL resolution after JavaScript redirects
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- **📦 Dependencies**: Replaced deprecated PyPDF2 with pypdf, Pydantic v2 ConfigDict compatibility
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- **🧠 AdaptiveCrawler**: Fixed query expansion to actually use LLM instead of mock data
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[Read full release notes →](../blog/release-v0.7.8.md)
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## Recent Releases
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### [Crawl4AI v0.7.7 – The Self-Hosting & Monitoring Update](../blog/release-v0.7.7.md)
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*November 14, 2025*
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Crawl4AI v0.7.7 transforms Docker into a complete self-hosting platform with enterprise-grade real-time monitoring, comprehensive observability, and full operational control.
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Key highlights:
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- **📊 Real-time Monitoring Dashboard**: Interactive web UI with live system metrics
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- **🔌 Comprehensive Monitor API**: Complete REST API for programmatic access
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- **⚡ WebSocket Streaming**: Real-time updates every 2 seconds
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- **🔥 Smart Browser Pool**: 3-tier architecture with automatic promotion and cleanup
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[Read full release notes →](../blog/release-v0.7.7.md)
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### [Crawl4AI v0.7.6 – The Webhook Infrastructure Update](../blog/release-v0.7.6.md)
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*October 22, 2025*
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Crawl4AI v0.7.6 introduces comprehensive webhook support for the Docker job queue API, bringing real-time notifications to both crawling and LLM extraction workflows. No more polling!
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Key highlights:
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- **🪝 Complete Webhook Support**: Real-time notifications for both `/crawl/job` and `/llm/job` endpoints
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- **🔄 Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
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- **🔐 Custom Authentication**: Add custom headers for webhook authentication
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- **📊 Flexible Delivery**: Choose notification-only or include full data in payload
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- **⚙️ Global Configuration**: Set default webhook URL in config.yml for all jobs
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[Read full release notes →](../blog/release-v0.7.6.md)
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### [Crawl4AI v0.7.5 – The Docker Hooks & Security Update](../blog/release-v0.7.5.md)
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*September 29, 2025*
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Crawl4AI v0.7.5 introduces the powerful Docker Hooks System for complete pipeline customization, enhanced LLM integration with custom providers, HTTPS preservation for modern web security, and resolves multiple community-reported issues.
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Key highlights:
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- **🔧 Docker Hooks System**: Custom Python functions at 8 key pipeline points for unprecedented customization
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- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
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- **🔒 HTTPS Preservation**: Secure internal link handling for modern web applications
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- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
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[Read full release notes →](../blog/release-v0.7.5.md)
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---
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## Older Releases
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| Version | Date | Highlights |
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|---------|------|------------|
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| [v0.7.4](../blog/release-v0.7.4.md) | August 2025 | LLM-powered table extraction, performance improvements |
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| [v0.7.3](../blog/release-v0.7.3.md) | July 2025 | Undetected browser, multi-URL config, memory monitoring |
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| [v0.7.1](../blog/release-v0.7.1.md) | June 2025 | Bug fixes and stability improvements |
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| [v0.7.0](../blog/release-v0.7.0.md) | May 2025 | Adaptive crawling, virtual scroll, link analysis |
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## Project History
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Curious about how Crawl4AI has evolved? Check out our [complete changelog](https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md) for a detailed history of all versions and updates.
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## Stay Updated
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- Star us on [GitHub](https://github.com/unclecode/crawl4ai)
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- Follow [@unclecode](https://twitter.com/unclecode) on Twitter
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- Join our community discussions on GitHub |