* 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>
- Create comprehensive skill package for AI coding assistants
- Include complete SDK reference (23K words, v0.7.4)
- Add three extraction scripts (basic, batch, pipeline)
- Implement version tracking in skill and scripts
- Add prominent download section on homepage
- Place skill in docs/assets for web distribution
The skill enables AI assistants like Claude, Cursor, and Windsurf
to effectively use Crawl4AI with optimized workflows for markdown
generation and data extraction.
- Switch installs to pip install -r requirements.txt (tutorial and app docs)
- Update local run steps to python server.py and http://localhost:8000
- Set default PORT to 8000; update port-in-use commands and alt port 8001
- Replace unsupported :contains() example with accessible attribute selector
- Update example URLs in tutorial servers to 127.0.0.1:8000
- Add “Identity-based crawling” section with crwl profiles CLI workflow and code usage
- Replace legacy-docs note with sponsorship message in docs/md_v2/index.md
- Minor copy and consistency fixes across pages
This commit introduces the adaptive crawling feature to the crawl4ai project. The adaptive crawling feature intelligently determines when sufficient information has been gathered during a crawl, improving efficiency and reducing unnecessary resource usage.
The changes include the addition of new files related to the adaptive crawler, modifications to the existing files, and updates to the documentation. The new files include the main adaptive crawler script, utility functions, and various configuration and strategy scripts. The existing files that were modified include the project's initialization file and utility functions. The documentation has been updated to include detailed explanations and examples of the adaptive crawling feature.
The adaptive crawling feature will significantly enhance the capabilities of the crawl4ai project, providing users with a more efficient and intelligent web crawling tool.
Significant modifications:
- Added adaptive_crawler.py and related scripts
- Modified __init__.py and utils.py
- Updated documentation with details about the adaptive crawling feature
- Added tests for the new feature
BREAKING CHANGE: This is a significant feature addition that may affect the overall behavior of the crawl4ai project. Users are advised to review the updated documentation to understand how to use the new feature.
Refs: #123, #456
Add capability to track and return final URLs after redirects in crawler responses. This enhancement helps users understand the actual destination of crawled URLs after any redirections.
Changes include:
- Added final_url tracking in AsyncPlaywrightCrawlerStrategy
- Added redirected_url field to CrawlResult model
- Updated AsyncWebCrawler to properly handle and store redirect URLs
- Fixed typo in documentation signature
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
Major changes:
- Add browser takeover feature using CDP for authentic browsing
- Implement Docker support with full API server documentation
- Enhance Mockdown with tag preservation system
- Improve parallel crawling performance
This release focuses on authenticity and scalability, introducing the ability
to use users' own browsers while providing containerized deployment options.
Breaking changes include modified browser handling and API response structure.
See CHANGELOG.md for detailed migration guide.
