- 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.
- 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
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.
- 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
#### 🚀 Crawl4AI Cloud API — Closed Beta (Launching Soon)
Reliable, large-scale web extraction, now built to be _**drastically more cost-effective**_ than any of the existing solutions.
👉 **Apply [here](https://forms.gle/E9MyPaNXACnAMaqG7) for early access**
_We’ll be onboarding in phases and working closely with early users.
Limited slots._
---
Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for large language models, AI agents, and data pipelines. Fully open source, flexible, and built for real-time performance, **Crawl4AI** empowers developers with unmatched speed, precision, and deployment ease.
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