Update README.md

Uncomments demonstration code for memory dispatcher, streaming support,
content scraping, JSON schema generation, LLM markdown, and robots compliance
in the v0.4.3b2 features demo file. Also adds fake-useragent package as a
project dependency.

This change makes all feature demonstrations active by default and ensures
proper user agent handling capabilities.

.github/DISCUSSION_TEMPLATE/feature-requests.yml

@@ -0,0 +1,59 @@
+title: "[Feature Request]: "
+labels: ["⚙️ New"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thank you for your interest in suggesting a new feature! Before you submit, please take a moment to check if already exists in
+        this discussions category to avoid duplicates. 😊
+
+  - type: textarea
+    id: needs_to_be_done
+    attributes:
+      label: What needs to be done?
+      description: Please describe the feature or functionality you'd like to see.
+      placeholder: "e.g., Return alt text along with images scraped from a webpages in Result"
+    validations:
+      required: true
+
+  - type: textarea
+    id: problem_to_solve
+    attributes:
+      label: What problem does this solve?
+      description: Explain the pain point or issue this feature will help address.
+      placeholder: "e.g., Bypass Captchas added by cloudflare"
+    validations:
+      required: true
+
+  - type: textarea
+    id: target_users
+    attributes:
+      label: Target users/beneficiaries
+      description: Who would benefit from this feature? (e.g., specific teams, developers, users, etc.)
+      placeholder: "e.g., Marketing teams, developers"
+    validations:
+      required: false
+
+  - type: textarea
+    id: current_workarounds
+    attributes:
+      label: Current alternatives/workarounds
+      description: Are there any existing solutions or workarounds? How does this feature improve upon them?
+      placeholder: "e.g., Users manually select the css classes mapped to data fields to extract them"
+    validations:
+      required: false
+
+  - type: markdown
+    attributes:
+      value: |
+        ### 💡 Implementation Ideas
+
+  - type: textarea
+    id: proposed_approach
+    attributes:
+      label: Proposed approach
+      description: Share any ideas you have for how this feature could be implemented. Point out any challenges your foresee
+       and the success metrics for this feature
+      placeholder: "e.g., Implement a breadth first traversal algorithm for scraper"
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,127 @@
+name: Bug Report
+description: Report a bug with the Crawl4AI.
+title: "[Bug]: "
+labels: ["🐞 Bug","🩺 Needs Triage"]
+body:
+  - type: input
+    id: crawl4ai_version
+    attributes:
+      label: crawl4ai version
+      description: Specify the version of crawl4ai you are using.
+      placeholder: "e.g., 2.0.0"
+    validations:
+      required: true
+
+  - type: textarea
+    id: expected_behavior
+    attributes:
+      label: Expected Behavior
+      description: Describe what you expected to happen.
+      placeholder: "Provide a detailed explanation of the expected outcome."
+    validations:
+      required: true
+
+  - type: textarea
+    id: current_behavior
+    attributes:
+      label: Current Behavior
+      description: Describe what is happening instead of the expected behavior.
+      placeholder: "Describe the actual result or issue you encountered."
+    validations:
+      required: true
+
+  - type: dropdown
+    id: reproducible
+    attributes:
+      label: Is this reproducible?
+      description: Indicate whether this bug can be reproduced consistently.
+      options:
+        - "Yes"
+        - "No"
+    validations:
+      required: true
+
+  - type: textarea
+    id: inputs
+    attributes:
+      label: Inputs Causing the Bug
+      description: Provide details about the inputs causing the issue.
+      placeholder: |
+        - URL(s): 
+        - Settings used: 
+        - Input data (if applicable): 
+      render: bash
+  
+  - type: textarea
+    id: steps_to_reproduce
+    attributes:
+      label: Steps to Reproduce
+      description: Provide step-by-step instructions to reproduce the issue.
+      placeholder: |
+        1. Go to...
+        2. Click on...
+        3. Observe the issue...
+      render: bash
+  
+  - type: textarea
+    id: code_snippets
+    attributes:
+      label: Code snippets
+      description: Provide code snippets(if any). Add comments as necessary
+      placeholder: print("Hello world")
+      render: python
+
+  # Header Section with Title
+  - type: markdown
+    attributes:
+      value: |
+          ## Supporting Information
+          Please provide the following details to help us understand and resolve your issue. This will assist us in reproducing and diagnosing the problem
+
+  - type: input
+    id: os
+    attributes:
+      label: OS
+      description: Please provide the operating system & distro where the issue occurs.
+      placeholder: "e.g., Windows, macOS, Linux"
+    validations:
+      required: true
+
+  - type: input
+    id: python_version
+    attributes:
+      label: Python version
+      description: Specify the Python version being used.
+      placeholder: "e.g., 3.8.5"
+    validations:
+      required: true
+
+  # Browser Field
+  - type: input
+    id: browser
+    attributes:
+      label: Browser
+      description: Provide the name of the browser you are using.
+      placeholder: "e.g., Chrome, Firefox, Safari"
+    validations:
+      required: false
+
+  # Browser Version Field
+  - type: input
+    id: browser_version
+    attributes:
+      label: Browser version
+      description: Provide the version of the browser you are using.
+      placeholder: "e.g., 91.0.4472.124"
+    validations:
+      required: false
+
+  # Error Logs Field (Text Area)
+  - type: textarea
+    id: error_logs
+    attributes:
+      label: Error logs & Screenshots (if applicable)
+      description: If you encountered any errors, please provide the error logs. Attach any relevant screenshots to help us understand the issue.
+      placeholder: "Paste error logs here and attach your screenshots"
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: false
+contact_links:
+  - name: Feature Requests
+    url: https://github.com/unclecode/crawl4ai/discussions/categories/feature-requests
+    about: "Suggest new features or enhancements for Crawl4AI"
+  - name: Forums - Q&A
+    url: https://github.com/unclecode/crawl4ai/discussions/categories/forums-q-a
+    about: "Ask questions or engage in general discussions about Crawl4AI"

.github/pull_request_template.md

@@ -0,0 +1,19 @@
+## Summary
+Please include a summary of the change and/or which issues are fixed.
+
+eg: `Fixes #123` (Tag GitHub issue numbers in this format, so it automatically links the issues with your PR)
+
+## List of files changed and why
+eg: quickstart.py - To update the example as per new changes
+
+## How Has This Been Tested?
+Please describe the tests that you ran to verify your changes.
+
+## Checklist:
+
+- [ ] My code follows the style guidelines of this project
+- [ ] I have performed a self-review of my own code
+- [ ] I have commented my code, particularly in hard-to-understand areas
+- [ ] I have made corresponding changes to the documentation
+- [ ] I have added/updated unit tests that prove my fix is effective or that my feature works
+- [ ] New and existing unit tests pass locally with my changes

.gitignore

@@ -226,6 +226,9 @@ tree.md
 .local
 .do
 /plans
+plans/
+
+# Codeium
 .codeiumignore
 todo/
 

CHANGELOG.md

@@ -5,9 +5,12 @@ All notable changes to Crawl4AI will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+---
+
+### Changed
 Okay, here's a detailed changelog in Markdown format, generated from the provided git diff and commit history. I've focused on user-facing changes, fixes, and features, and grouped them as requested:
 
-## Version 0.4.3 (2025-01-21)
+## Version 0.4.3b2 (2025-01-21)
 
 This release introduces several powerful new features, including robots.txt compliance, dynamic proxy support, LLM-powered schema generation, and improved documentation.
 
@@ -29,7 +32,7 @@ This release introduces several powerful new features, including robots.txt comp
 
 -   **URL Redirection Tracking:**
     -   Added URL redirection tracking to capture the final URL after any redirects.
-    -   The final URL is now available in the `final_url` field of the `AsyncCrawlResponse` object.
+    -   The final URL is now available in the `redirected_url` field of the `AsyncCrawlResponse` object.
 
 -   **Enhanced Streamlined Documentation:**
     -   Refactored and improved the documentation structure for clarity and ease of use.
@@ -135,9 +138,11 @@ This release introduces several powerful new features, including robots.txt comp
 - **Multiple Element Selection**: Modified `_get_elements` in `JsonCssExtractionStrategy` to return all matching elements instead of just the first one, ensuring comprehensive extraction. ([#extraction_strategy.py](crawl4ai/extraction_strategy.py))
 - **Error Handling in Scrolling**: Added robust error handling to ensure scrolling proceeds safely even if a configuration is missing. ([#async_crawler_strategy.py](crawl4ai/async_crawler_strategy.py))
 
-#### Other
-- **Git Ignore Update**: Added `/plans` to `.gitignore` for better development environment consistency. ([#.gitignore](.gitignore))
+## [0.4.267] - 2025 - 01 - 06
 
+### Added
+- **Windows Event Loop Configuration**: Introduced a utility function `configure_windows_event_loop` to resolve `NotImplementedError` for asyncio subprocesses on Windows. ([#utils.py](crawl4ai/utils.py), [#tutorials/async-webcrawler-basics.md](docs/md_v3/tutorials/async-webcrawler-basics.md))
+- **`page_need_scroll` Method**: Added a method to determine if a page requires scrolling before taking actions in `AsyncPlaywrightCrawlerStrategy`. ([#async_crawler_strategy.py](crawl4ai/async_crawler_strategy.py))
 
 ## [0.4.24] - 2024-12-31
 

CODE_OF_CONDUCT.md

@@ -0,0 +1,131 @@
+# Crawl4AI Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual
+identity and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the overall
+  community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or advances of
+  any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email address,
+  without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official email address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+unclecode@crawl4ai.com. All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series of
+actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or permanent
+ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within the
+community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.1, available at
+[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
+
+Community Impact Guidelines were inspired by
+[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
+
+For answers to common questions about this code of conduct, see the FAQ at
+[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
+[https://www.contributor-covenant.org/translations][translations].
+
+[homepage]: https://www.contributor-covenant.org
+[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
+[Mozilla CoC]: https://github.com/mozilla/diversity
+[FAQ]: https://www.contributor-covenant.org/faq
+[translations]: https://www.contributor-covenant.org/translations

CONTRIBUTORS.md

@@ -6,7 +6,7 @@ We would like to thank the following people for their contributions to Crawl4AI:
 
 - [Unclecode](https://github.com/unclecode) - Project Creator and Main Developer
 - [Nasrin](https://github.com/ntohidi) - Project Manager and Developer
-- [Aravind Karnam](https://github.com/aravindkarnam) - Developer
+- [Aravind Karnam](https://github.com/aravindkarnam) - Head of Community and Product 
 
 ## Community Contributors
 

README.md

@@ -15,14 +15,15 @@
 [![License](https://img.shields.io/github/license/unclecode/crawl4ai)](https://github.com/unclecode/crawl4ai/blob/main/LICENSE)
 [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![Security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg)](https://github.com/PyCQA/bandit)
+[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.1-4baaaa.svg)](code_of_conduct.md)
 
 </div>
 
 Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.  
 
-[✨ Check out latest update v0.4.3b1x](#-recent-updates)
+[✨ Check out latest update v0.4.3bx](#-recent-updates)
 
-🎉 **Version 0.4.3b1 is out!** This release brings exciting new features like a Memory Dispatcher System, Streaming Support, LLM-Powered Markdown Generation, Schema Generation, and Robots.txt Compliance! [Read the release notes →](https://docs.crawl4ai.com/blog)
+🎉 **Version 0.4.3bx is out!** This release brings exciting new features like a Memory Dispatcher System, Streaming Support, LLM-Powered Markdown Generation, Schema Generation, and Robots.txt Compliance! [Read the release notes →](https://docs.crawl4ai.com/blog)
 
 <details>
 <summary>🤓 <strong>My Personal Story</strong></summary>
@@ -31,7 +32,7 @@ My journey with computers started in childhood when my dad, a computer scientist
 
 Fast forward to 2023, I was working on a tool for a project and needed a crawler to convert a webpage into markdown. While exploring solutions, I found one that claimed to be open-source but required creating an account and generating an API token. Worse, it turned out to be a SaaS model charging $16, and its quality didn’t meet my standards. Frustrated, I realized this was a deeper problem. That frustration turned into turbo anger mode, and I decided to build my own solution. In just a few days, I created Crawl4AI. To my surprise, it went viral, earning thousands of GitHub stars and resonating with a global community.
 
-I made Crawl4AI open-source for two reasons. First, it’s my way of giving back to the open-source community that has supported me throughout my career. Second, I believe data should be accessible to everyone, not locked behind paywalls or monopolized by a few. Open access to data lays the foundation for the democratization of AI—a vision where individuals can train their own models and take ownership of their information. This library is the first step in a larger journey to create the best open-source data extraction and generation tool the world has ever seen, built collaboratively by a passionate community.
+I made Crawl4AI open-source for two reasons. First, it’s my way of giving back to the open-source community that has supported me throughout my career. Second, I believe data should be accessible to everyone, not locked behind paywalls or monopolized by a few. Open access to data lays the foundation for the democratization of AI, a vision where individuals can train their own models and take ownership of their information. This library is the first step in a larger journey to create the best open-source data extraction and generation tool the world has ever seen, built collaboratively by a passionate community.
 
 Thank you to everyone who has supported this project, used it, and shared feedback. Your encouragement motivates me to dream even bigger. Join us, file issues, submit PRs, or spread the word. Together, we can build a tool that truly empowers people to access their own data and reshape the future of AI.
 </details>
@@ -52,6 +53,9 @@ Thank you to everyone who has supported this project, used it, and shared feedba
 # Install the package
 pip install -U crawl4ai
 
+# For pre release versions
+pip install crawl4ai --pre
+
 # Run post-installation setup
 crawl4ai-setup
 
@@ -443,7 +447,7 @@ if __name__ == "__main__":
 </details>
 
 <details>
-<summary>🤖 <strong>Using You own Browswer with Custome User Profile</strong></summary>
+<summary>🤖 <strong>Using You own Browser with Custom User Profile</strong></summary>
 
 ```python
 import os, sys
@@ -491,15 +495,13 @@ async def test_news_crawl():
     -   **Ollama Support**: Use open-source or self-hosted models for private or cost-effective extraction.
 -   **🏎️ Faster Scraping Option**: New `LXMLWebScrapingStrategy` offers **10-20x speedup** for large, complex pages (experimental).
 -   **🤖 robots.txt Compliance**: Respect website rules with `check_robots_txt=True` and efficient local caching.
--   **➡️ URL Redirection Tracking**: The `final_url` field now captures the final destination after any redirects.
+-   **🔄 Proxy Rotation**: Built-in support for dynamic proxy switching and IP verification, with support for authenticated proxies and session persistence.
+-   **➡️ URL Redirection Tracking**: The `redirected_url` field now captures the final destination after any redirects.
 -   **🪞 Improved Mirroring**: The `LXMLWebScrapingStrategy` now has much greater fidelity, allowing for almost pixel-perfect mirroring of websites.
 -   **📈 Enhanced Monitoring**: Track memory, CPU, and individual crawler status with `CrawlerMonitor`.
 -   **📝 Improved Documentation**: More examples, clearer explanations, and updated tutorials.
 
-Read the full details in our [0.4.248 Release Notes](https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md).
-
-Here's a clear markdown explanation for your users about version numbering:
-
+Read the full details in our [0.4.3bx Release Notes](https://github.com/unclecode/crawl4ai/blob/main/CHANGELOG.md).
 
 ## Version Numbering in Crawl4AI
 
@@ -570,7 +572,7 @@ To check our development plans and upcoming features, visit our [Roadmap](https:
 
 ## 🤝 Contributing 
 
-We welcome contributions from the open-source community. Check out our [contribution guidelines](https://github.com/unclecode/crawl4ai/blob/main/CONTRIBUTING.md) for more information.
+We welcome contributions from the open-source community. Check out our [contribution guidelines](https://github.com/unclecode/crawl4ai/blob/main/CONTRIBUTORS.md) for more information.
 
 ## 📄 License 
 

crawl4ai/__init__.py

@@ -16,7 +16,7 @@ from .extraction_strategy import (
 )
 from .chunking_strategy import ChunkingStrategy, RegexChunking
 from .markdown_generation_strategy import DefaultMarkdownGenerator
-from .content_filter_strategy import PruningContentFilter, BM25ContentFilter, LLMContentFilter
+from .content_filter_strategy import PruningContentFilter, BM25ContentFilter, LLMContentFilter, RelevantContentFilter
 from .models import CrawlResult, MarkdownGenerationResult
 from .async_dispatcher import (
     MemoryAdaptiveDispatcher,
@@ -44,6 +44,7 @@ __all__ = [
     "ChunkingStrategy",
     "RegexChunking",
     "DefaultMarkdownGenerator",
+    "RelevantContentFilter",
     "PruningContentFilter",
     "BM25ContentFilter",
     "LLMContentFilter",

crawl4ai/__version__.py

@@ -1,2 +1,2 @@
 # crawl4ai/_version.py
-__version__ = "0.4.3b1"
+__version__ = "0.4.3b3"

crawl4ai/async_configs.py

@@ -6,12 +6,15 @@ from .config import (
     IMAGE_SCORE_THRESHOLD,
     SOCIAL_MEDIA_DOMAINS,
 )
-from .user_agent_generator import UserAgentGenerator
+
+from .user_agent_generator import UserAgentGenerator, UAGen, ValidUAGenerator, OnlineUAGenerator
 from .extraction_strategy import ExtractionStrategy
 from .chunking_strategy import ChunkingStrategy, RegexChunking
 from .markdown_generation_strategy import MarkdownGenerationStrategy
+from .content_filter_strategy import RelevantContentFilter, BM25ContentFilter, LLMContentFilter, PruningContentFilter
 from .content_scraping_strategy import ContentScrapingStrategy, WebScrapingStrategy
 from typing import Optional, Union, List
+from .cache_context import CacheMode
 
 
 class BrowserConfig:
@@ -29,6 +32,7 @@ class BrowserConfig:
                          Default: True.
         use_managed_browser (bool): Launch the browser using a managed approach (e.g., via CDP), allowing
                                     advanced manipulation. Default: False.
+        cdp_url (str): URL for the Chrome DevTools Protocol (CDP) endpoint. Default: "ws://localhost:9222/devtools/browser/".
         debugging_port (int): Port for the browser debugging protocol. Default: 9222.
         use_persistent_context (bool): Use a persistent browser context (like a persistent profile).
                                        Automatically sets use_managed_browser=True. Default: False.
@@ -77,17 +81,18 @@ class BrowserConfig:
         browser_type: str = "chromium",
         headless: bool = True,
         use_managed_browser: bool = False,
+        cdp_url: str = None,
         use_persistent_context: bool = False,
         user_data_dir: str = None,
         chrome_channel: str = "chromium",
         channel: str = "chromium",
-        proxy: Optional[str] = None,
+        proxy: str = None,
         proxy_config: dict = None,
         viewport_width: int = 1080,
         viewport_height: int = 600,
         accept_downloads: bool = False,
         downloads_path: str = None,
-        storage_state=None,
+        storage_state : Union[str, dict, None]=None,
         ignore_https_errors: bool = True,
         java_script_enabled: bool = True,
         sleep_on_close: bool = False,
@@ -95,19 +100,23 @@ class BrowserConfig:
         cookies: list = None,
         headers: dict = None,
         user_agent: str = (
-            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) AppleWebKit/537.36 "
-            "(KHTML, like Gecko) Chrome/116.0.5845.187 Safari/604.1 Edg/117.0.2045.47"
+            # "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) AppleWebKit/537.36 "
+            # "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
+            # "(KHTML, like Gecko) Chrome/116.0.5845.187 Safari/604.1 Edg/117.0.2045.47"
+            "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/116.0.0.0 Safari/537.36"
         ),
-        user_agent_mode: str = None,
-        user_agent_generator_config: dict = None,
+        user_agent_mode: str = "",
+        user_agent_generator_config: dict = {},
         text_mode: bool = False,
         light_mode: bool = False,
         extra_args: list = None,
         debugging_port: int = 9222,
+        host: str = "localhost",
     ):
         self.browser_type = browser_type
         self.headless = headless
         self.use_managed_browser = use_managed_browser
+        self.cdp_url = cdp_url
         self.use_persistent_context = use_persistent_context
         self.user_data_dir = user_data_dir
         self.chrome_channel = chrome_channel or self.browser_type or "chromium"
@@ -136,17 +145,15 @@ class BrowserConfig:
         self.verbose = verbose
         self.debugging_port = debugging_port
 
-        user_agenr_generator = UserAgentGenerator()
-        if self.user_agent_mode != "random" and self.user_agent_generator_config:
-            self.user_agent = user_agenr_generator.generate(
+        fa_user_agenr_generator = ValidUAGenerator()
+        if self.user_agent_mode == "random":
+            self.user_agent = fa_user_agenr_generator.generate(
                 **(self.user_agent_generator_config or {})
             )
-        elif self.user_agent_mode == "random":
-            self.user_agent = user_agenr_generator.generate()
         else:
             pass
-
-        self.browser_hint = user_agenr_generator.generate_client_hints(self.user_agent)
+        
+        self.browser_hint = UAGen.generate_client_hints(self.user_agent)
         self.headers.setdefault("sec-ch-ua", self.browser_hint)
 
         # If persistent context is requested, ensure managed browser is enabled
@@ -159,6 +166,7 @@ class BrowserConfig:
             browser_type=kwargs.get("browser_type", "chromium"),
             headless=kwargs.get("headless", True),
             use_managed_browser=kwargs.get("use_managed_browser", False),
+            cdp_url=kwargs.get("cdp_url"),
             use_persistent_context=kwargs.get("use_persistent_context", False),
             user_data_dir=kwargs.get("user_data_dir"),
             chrome_channel=kwargs.get("chrome_channel", "chromium"),
@@ -191,6 +199,7 @@ class BrowserConfig:
             "browser_type": self.browser_type,
             "headless": self.headless,
             "use_managed_browser": self.use_managed_browser,
+            "cdp_url": self.cdp_url,
             "use_persistent_context": self.use_persistent_context,
             "user_data_dir": self.user_data_dir,
             "chrome_channel": self.chrome_channel,
@@ -373,6 +382,11 @@ class CrawlerRunConfig:
         stream (bool): If True, stream the page content as it is being loaded.
         url: str = None  # This is not a compulsory parameter
         check_robots_txt (bool): Whether to check robots.txt rules before crawling. Default: False
+        user_agent (str): Custom User-Agent string to use. Default: None
+        user_agent_mode (str or None): Mode for generating the user agent (e.g., "random"). If None, use the provided
+                                       user_agent as-is. Default: None.
+        user_agent_generator_config (dict or None): Configuration for user agent generation if user_agent_mode is set.
+                                                    Default: None.
     """
 
     def __init__(
@@ -382,7 +396,7 @@ class CrawlerRunConfig:
         extraction_strategy: ExtractionStrategy = None,
         chunking_strategy: ChunkingStrategy = RegexChunking(),
         markdown_generator: MarkdownGenerationStrategy = None,
-        content_filter=None,
+        content_filter : RelevantContentFilter = None,
         only_text: bool = False,
         css_selector: str = None,
         excluded_tags: list = None,
@@ -396,7 +410,7 @@ class CrawlerRunConfig:
         # SSL Parameters
         fetch_ssl_certificate: bool = False,
         # Caching Parameters
-        cache_mode=None,
+        cache_mode: CacheMode =None,
         session_id: str = None,
         bypass_cache: bool = False,
         disable_cache: bool = False,
@@ -444,6 +458,9 @@ class CrawlerRunConfig:
         stream: bool = False,
         url: str = None,
         check_robots_txt: bool = False,
+        user_agent: str = None,
+        user_agent_mode: str = None,
+        user_agent_generator_config: dict = {},
     ):
         self.url = url
 
@@ -526,6 +543,11 @@ class CrawlerRunConfig:
         # Robots.txt Handling Parameters
         self.check_robots_txt = check_robots_txt
 
+        # User Agent Parameters
+        self.user_agent = user_agent
+        self.user_agent_mode = user_agent_mode
+        self.user_agent_generator_config = user_agent_generator_config
+
         # Validate type of extraction strategy and chunking strategy if they are provided
         if self.extraction_strategy is not None and not isinstance(
             self.extraction_strategy, ExtractionStrategy
@@ -623,6 +645,9 @@ class CrawlerRunConfig:
             stream=kwargs.get("stream", False),
             url=kwargs.get("url"),
             check_robots_txt=kwargs.get("check_robots_txt", False),
+            user_agent=kwargs.get("user_agent"),
+            user_agent_mode=kwargs.get("user_agent_mode"),
+            user_agent_generator_config=kwargs.get("user_agent_generator_config", {}),
         )
 
     # Create a funciton returns dict of the object
@@ -686,6 +711,9 @@ class CrawlerRunConfig:
             "stream": self.stream,
             "url": self.url,
             "check_robots_txt": self.check_robots_txt,
+            "user_agent": self.user_agent,
+            "user_agent_mode": self.user_agent_mode,
+            "user_agent_generator_config": self.user_agent_generator_config,
         }
 
     def clone(self, **kwargs):

crawl4ai/async_crawler_strategy.py

@@ -23,6 +23,7 @@ from .async_logger import AsyncLogger
 from playwright_stealth import StealthConfig
 from .ssl_certificate import SSLCertificate
 from .utils import get_home_folder, get_chromium_path
+from .user_agent_generator import ValidUAGenerator, OnlineUAGenerator
 
 stealth_config = StealthConfig(
     webdriver=True,
@@ -102,6 +103,7 @@ class ManagedBrowser:
         logger=None,
         host: str = "localhost",
         debugging_port: int = 9222,
+        cdp_url: Optional[str] = None, 
     ):
         """
         Initialize the ManagedBrowser instance.
@@ -116,6 +118,7 @@ class ManagedBrowser:
             logger (logging.Logger): Logger instance for logging messages. Default: None.
             host (str): Host for debugging the browser. Default: "localhost".
             debugging_port (int): Port for debugging the browser. Default: 9222.
+            cdp_url (str or None): CDP URL to connect to the browser. Default: None.
         """
         self.browser_type = browser_type
         self.user_data_dir = user_data_dir
@@ -126,12 +129,20 @@ class ManagedBrowser:
         self.host = host
         self.logger = logger
         self.shutting_down = False
+        self.cdp_url = cdp_url
 
     async def start(self) -> str:
         """
-        Starts the browser process and returns the CDP endpoint URL.
-        If user_data_dir is not provided, creates a temporary directory.
+        Starts the browser process or returns CDP endpoint URL.
+        If cdp_url is provided, returns it directly.
+        If user_data_dir is not provided for local browser, creates a temporary directory.
+        
+        Returns:
+            str: CDP endpoint URL
         """
+        # If CDP URL provided, just return it
+        if self.cdp_url:
+            return self.cdp_url
 
         # Create temp dir if needed
         if not self.user_data_dir:
@@ -554,7 +565,7 @@ class BrowserManager:
             Context: Browser context object with the specified configurations
         """
         # Base settings
-        user_agent = self.config.headers.get("User-Agent", self.config.user_agent)
+        user_agent = self.config.headers.get("User-Agent", self.config.user_agent) 
         viewport_settings = {
             "width": self.config.viewport_width,
             "height": self.config.viewport_height,
@@ -633,9 +644,12 @@ class BrowserManager:
             if crawlerRunConfig.proxy_config:
                 proxy_settings = {
                     "server": crawlerRunConfig.proxy_config.get("server"),
-                    "username": crawlerRunConfig.proxy_config.get("username"),
-                    "password": crawlerRunConfig.proxy_config.get("password"),
                 }
+                if crawlerRunConfig.proxy_config.get("username"):
+                    proxy_settings.update({
+                        "username": crawlerRunConfig.proxy_config.get("username"),
+                        "password": crawlerRunConfig.proxy_config.get("password"),
+                    })
                 context_settings["proxy"] = proxy_settings
 
         if self.config.text_mode:
@@ -1251,16 +1265,18 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
         config.url = url
         response_headers = {}
         status_code = None
-        final_url = url 
+        redirected_url = url 
 
         # Reset downloaded files list for new crawl
         self._downloaded_files = []
 
         # Handle user agent with magic mode
-        user_agent = self.browser_config.user_agent
-        if config.magic and self.browser_config.user_agent_mode != "random":
-            self.browser_config.user_agent = UserAgentGenerator().generate(
-                **(self.browser_config.user_agent_generator_config or {})
+        user_agent_to_override = config.user_agent
+        if user_agent_to_override:
+            self.browser_config.user_agent = user_agent_to_override
+        elif config.magic or config.user_agent_mode == "random":
+            self.browser_config.user_agent = ValidUAGenerator().generate(
+                **(config.user_agent_generator_config or {})
             )
 
         # Get page for session
@@ -1333,7 +1349,7 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
                     response = await page.goto(
                         url, wait_until=config.wait_until, timeout=config.page_timeout
                     )
-                    final_url = page.url
+                    redirected_url = page.url
                 except Error as e:
                     raise RuntimeError(f"Failed on navigating ACS-GOTO:\n{str(e)}")
 
@@ -1613,7 +1629,7 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
                 downloaded_files=(
                     self._downloaded_files if self._downloaded_files else None
                 ),
-                final_url=final_url,
+                redirected_url=redirected_url,
             )
 
         except Exception as e:

crawl4ai/async_webcrawler.py

@@ -462,7 +462,7 @@ class AsyncWebCrawler:
                     )
 
                     crawl_result.status_code = async_response.status_code
-                    crawl_result.redirected_url = async_response.final_url or url
+                    crawl_result.redirected_url = async_response.redirected_url or url
                     crawl_result.response_headers = async_response.response_headers
                     crawl_result.downloaded_files = async_response.downloaded_files
                     crawl_result.ssl_certificate = (

crawl4ai/models.py

@@ -132,7 +132,7 @@ class AsyncCrawlResponse(BaseModel):
     get_delayed_content: Optional[Callable[[Optional[float]], Awaitable[str]]] = None
     downloaded_files: Optional[List[str]] = None
     ssl_certificate: Optional[SSLCertificate] = None
-    final_url: Optional[str] = None
+    redirected_url: Optional[str] = None
 
     class Config:
         arbitrary_types_allowed = True

crawl4ai/user_agent_generator.py

@@ -2,8 +2,146 @@ import random
 from typing import Optional, Literal, List, Dict, Tuple
 import re
 
+from abc import ABC, abstractmethod
+import random
+from fake_useragent import UserAgent
+import requests
+from lxml import html
+import json
+from typing import Optional, List, Union, Dict
 
-class UserAgentGenerator:
+class UAGen(ABC):
+   @abstractmethod
+   def generate(self, 
+               browsers: Optional[List[str]] = None,
+               os: Optional[Union[str, List[str]]] = None,
+               min_version: float = 0.0,
+               platforms: Optional[Union[str, List[str]]] = None,
+               pct_threshold: Optional[float] = None,
+               fallback: str = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/116.0.0.0 Safari/537.36") -> Union[str, Dict]:
+       pass
+   
+   @staticmethod
+   def generate_client_hints( user_agent: str) -> str:
+        """Generate Sec-CH-UA header value based on user agent string"""
+        def _parse_user_agent(user_agent: str) -> Dict[str, str]:
+            """Parse a user agent string to extract browser and version information"""
+            browsers = {
+                "chrome": r"Chrome/(\d+)",
+                "edge": r"Edg/(\d+)",
+                "safari": r"Version/(\d+)",
+                "firefox": r"Firefox/(\d+)",
+            }
+
+            result = {}
+            for browser, pattern in browsers.items():
+                match = re.search(pattern, user_agent)
+                if match:
+                    result[browser] = match.group(1)
+
+            return result
+        browsers = _parse_user_agent(user_agent)
+
+        # Client hints components
+        hints = []
+
+        # Handle different browser combinations
+        if "chrome" in browsers:
+            hints.append(f'"Chromium";v="{browsers["chrome"]}"')
+            hints.append('"Not_A Brand";v="8"')
+
+            if "edge" in browsers:
+                hints.append(f'"Microsoft Edge";v="{browsers["edge"]}"')
+            else:
+                hints.append(f'"Google Chrome";v="{browsers["chrome"]}"')
+
+        elif "firefox" in browsers:
+            # Firefox doesn't typically send Sec-CH-UA
+            return '""'
+
+        elif "safari" in browsers:
+            # Safari's format for client hints
+            hints.append(f'"Safari";v="{browsers["safari"]}"')
+            hints.append('"Not_A Brand";v="8"')
+
+        return ", ".join(hints)
+
+class ValidUAGenerator(UAGen):
+   def __init__(self):
+       self.ua = UserAgent()
+       
+   def generate(self,
+               browsers: Optional[List[str]] = None,
+               os: Optional[Union[str, List[str]]] = None, 
+               min_version: float = 0.0,
+               platforms: Optional[Union[str, List[str]]] = None,
+               pct_threshold: Optional[float] = None,
+               fallback: str = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/116.0.0.0 Safari/537.36") -> str:
+       
+       self.ua = UserAgent(
+           browsers=browsers or ['Chrome', 'Firefox', 'Edge'],
+           os=os or ['Windows', 'Mac OS X'],
+           min_version=min_version,
+           platforms=platforms or ['desktop'],
+           fallback=fallback
+       )
+       return self.ua.random
+
+class OnlineUAGenerator(UAGen):
+   def __init__(self):
+       self.agents = []
+       self._fetch_agents()
+       
+   def _fetch_agents(self):
+       try:
+           response = requests.get(
+               'https://www.useragents.me/',
+               timeout=5,
+               headers={'Accept': 'text/html,application/xhtml+xml'}
+           )
+           response.raise_for_status()
+           
+           tree = html.fromstring(response.content)
+           json_text = tree.cssselect('#most-common-desktop-useragents-json-csv > div:nth-child(1) > textarea')[0].text
+           self.agents = json.loads(json_text)
+       except Exception as e:
+           print(f"Error fetching agents: {e}")
+           
+   def generate(self,
+               browsers: Optional[List[str]] = None,
+               os: Optional[Union[str, List[str]]] = None,
+               min_version: float = 0.0,
+               platforms: Optional[Union[str, List[str]]] = None, 
+               pct_threshold: Optional[float] = None,
+               fallback: str = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/116.0.0.0 Safari/537.36") -> Dict:
+       
+       if not self.agents:
+           self._fetch_agents()
+           
+       filtered_agents = self.agents
+       
+       if pct_threshold:
+           filtered_agents = [a for a in filtered_agents if a['pct'] >= pct_threshold]
+           
+       if browsers:
+           filtered_agents = [a for a in filtered_agents 
+                            if any(b.lower() in a['ua'].lower() for b in browsers)]
+           
+       if os:
+           os_list = [os] if isinstance(os, str) else os
+           filtered_agents = [a for a in filtered_agents 
+                            if any(o.lower() in a['ua'].lower() for o in os_list)]
+           
+       if platforms:
+           platform_list = [platforms] if isinstance(platforms, str) else platforms
+           filtered_agents = [a for a in filtered_agents 
+                            if any(p.lower() in a['ua'].lower() for p in platform_list)]
+           
+       return filtered_agents[0] if filtered_agents else {'ua': fallback, 'pct': 0}
+
+
+
+class UserAgentGenerator():
     """
     Generate random user agents with specified constraints.
 
@@ -187,9 +325,15 @@ class UserAgentGenerator:
         browser_stack = self.get_browser_stack(num_browsers)
 
         # Add appropriate legacy token based on browser stack
-        if "Firefox" in str(browser_stack):
+        if "Firefox" in str(browser_stack) or browser_type == "firefox":
             components.append(random.choice(self.rendering_engines["gecko"]))
-        elif "Chrome" in str(browser_stack) or "Safari" in str(browser_stack):
+        elif "Chrome" in str(browser_stack) or "Safari" in str(browser_stack) or browser_type == "chrome":
+            components.append(self.rendering_engines["chrome_webkit"])
+            components.append("(KHTML, like Gecko)")
+        elif "Edge" in str(browser_stack) or browser_type == "edge":
+            components.append(self.rendering_engines["safari_webkit"])
+            components.append("(KHTML, like Gecko)")
+        elif "Safari" in str(browser_stack) or browser_type == "safari":
             components.append(self.rendering_engines["chrome_webkit"])
             components.append("(KHTML, like Gecko)")
 
@@ -273,27 +417,13 @@ class UserAgentGenerator:
 
 # Example usage:
 if __name__ == "__main__":
-    generator = UserAgentGenerator()
-    print(generator.generate())
+    
+    # Usage example:
+    generator = ValidUAGenerator()
+    ua = generator.generate()
+    print(ua)
+    
+    generator = OnlineUAGenerator()
+    ua = generator.generate()
+    print(ua)
 
-    print("\nSingle browser (Chrome):")
-    print(generator.generate(num_browsers=1, browser_type="chrome"))
-
-    print("\nTwo browsers (Gecko/Firefox):")
-    print(generator.generate(num_browsers=2))
-
-    print("\nThree browsers (Chrome/Safari/Edge):")
-    print(generator.generate(num_browsers=3))
-
-    print("\nFirefox on Linux:")
-    print(
-        generator.generate(
-            device_type="desktop",
-            os_type="linux",
-            browser_type="firefox",
-            num_browsers=2,
-        )
-    )
-
-    print("\nChrome/Safari/Edge on Windows:")
-    print(generator.generate(device_type="desktop", os_type="windows", num_browsers=3))

docs/examples/dispatcher_example.py

@@ -112,19 +112,19 @@ def create_performance_table(results):
 
 
 async def main():
-    urls = [f"https://example.com/page{i}" for i in range(1, 20)]
+    urls = [f"https://example.com/page{i}" for i in range(1, 40)]
     browser_config = BrowserConfig(headless=True, verbose=False)
     run_config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, scraping_strategy=LXMLWebScrapingStrategy())
 
     results = {
         "Memory Adaptive": await memory_adaptive(urls, browser_config, run_config),
-        "Memory Adaptive + Rate Limit": await memory_adaptive_with_rate_limit(
-            urls, browser_config, run_config
-        ),
-        "Semaphore": await semaphore(urls, browser_config, run_config),
-        "Semaphore + Rate Limit": await semaphore_with_rate_limit(
-            urls, browser_config, run_config
-        ),
+        # "Memory Adaptive + Rate Limit": await memory_adaptive_with_rate_limit(
+        #     urls, browser_config, run_config
+        # ),
+        # "Semaphore": await semaphore(urls, browser_config, run_config),
+        # "Semaphore + Rate Limit": await semaphore_with_rate_limit(
+        #     urls, browser_config, run_config
+        # ),
     }
 
     table = create_performance_table(results)

docs/examples/scraping_strategies_performance.py

@@ -117,17 +117,17 @@ def test_scraping():
     timing_stats.report()
     
     # Print stats of LXML output
-    print("\nLXML Output:")
-    print(f"\nExtracted links: {len(result_selected['links']['internal']) + len(result_selected['links']['external'])}")
-    print(f"Extracted images: {len(result_selected['media']['images'])}")
-    print(f"Clean HTML size: {len(result_selected['cleaned_html'])/1024:.2f} KB")
+    print("\Turbo Output:")
+    print(f"\nExtracted links: {len(result_selected.links.internal) + len(result_selected.links.external)}")
+    print(f"Extracted images: {len(result_selected.media.images)}")
+    print(f"Clean HTML size: {len(result_selected.cleaned_html)/1024:.2f} KB")
     print(f"Scraping time: {t2 - t1:.2f} seconds")
 
     # Print stats of original output
     print("\nOriginal Output:")
-    print(f"\nExtracted links: {len(result_original['links']['internal']) + len(result_original['links']['external'])}")
-    print(f"Extracted images: {len(result_original['media']['images'])}")
-    print(f"Clean HTML size: {len(result_original['cleaned_html'])/1024:.2f} KB")
+    print(f"\nExtracted links: {len(result_original.links.internal) + len(result_original.links.external)}")
+    print(f"Extracted images: {len(result_original.media.images)}")
+    print(f"Clean HTML size: {len(result_original.cleaned_html)/1024:.2f} KB")
     print(f"Scraping time: {t3 - t1:.2f} seconds")
         
         

docs/examples/v0_4_3b2_features_demo.py

@@ -1,56 +1,99 @@
 """
-Crawl4ai v0.4.3 Features Demo
+Crawl4ai v0.4.3b2 Features Demo
 ============================
 
-This example demonstrates the major new features introduced in Crawl4ai v0.4.3.
-Each section showcases a specific feature with practical examples and explanations.
+This demonstration showcases three major categories of new features in Crawl4ai v0.4.3:
+
+1. Efficiency & Speed:
+   - Memory-efficient dispatcher strategies
+   - New scraping algorithm
+   - Streaming support for batch crawling
+
+2. LLM Integration:
+   - Automatic schema generation
+   - LLM-powered content filtering
+   - Smart markdown generation
+
+3. Core Improvements:
+   - Robots.txt compliance
+   - Proxy rotation
+   - Enhanced URL handling
+   - Shared data among hooks
+   - add page routes
+
+Each demo function can be run independently or as part of the full suite.
 """
 
 import asyncio
 import os
-from crawl4ai import *
+import json
+import re
+import random
+from typing import Optional, Dict
+from dotenv import load_dotenv
+
+load_dotenv()
+
+from crawl4ai import (
+    AsyncWebCrawler, 
+    BrowserConfig,
+    CrawlerRunConfig,
+    CacheMode,
+    DisplayMode,
+    MemoryAdaptiveDispatcher,
+    CrawlerMonitor,
+    DefaultMarkdownGenerator,
+    LXMLWebScrapingStrategy,
+    JsonCssExtractionStrategy,
+    LLMContentFilter
+)
 
 
 async def demo_memory_dispatcher():
+    """Demonstrates the new memory-efficient dispatcher system.
+    
+    Key Features:
+    - Adaptive memory management
+    - Real-time performance monitoring
+    - Concurrent session control
     """
-    1. Memory Dispatcher System Demo
-    ===============================
-    Shows how to use the new memory dispatcher with monitoring
-    """
-    print("\n=== 1. Memory Dispatcher System Demo ===")
-
-    # Configure crawler
-    browser_config = BrowserConfig(headless=True, verbose=True)
-    crawler_config = CrawlerRunConfig(
-        cache_mode=CacheMode.BYPASS, markdown_generator=DefaultMarkdownGenerator()
-    )
-
-    # Test URLs
-    urls = ["http://example.com", "http://example.org", "http://example.net"] * 3
-
-    async with AsyncWebCrawler(config=browser_config) as crawler:
-        # Initialize dispatcher with monitoring
-        monitor = CrawlerMonitor(
-            max_visible_rows=10,
-            display_mode=DisplayMode.DETAILED,  # Can be DETAILED or AGGREGATED
+    print("\n=== Memory Dispatcher Demo ===")
+    
+    try:
+        # Configuration
+        browser_config = BrowserConfig(headless=True, verbose=False)
+        crawler_config = CrawlerRunConfig(
+            cache_mode=CacheMode.BYPASS,
+            markdown_generator=DefaultMarkdownGenerator()
         )
 
-        dispatcher = MemoryAdaptiveDispatcher(
-            memory_threshold_percent=80.0,  # Memory usage threshold
-            check_interval=0.5,  # How often to check memory
-            max_session_permit=5,  # Max concurrent crawls
-            monitor=monitor,  # Pass the monitor
-        )
-
-        # Run with memory monitoring
-        print("Starting batch crawl with memory monitoring...")
-        results = await dispatcher.run_urls(
-            urls=urls,
-            crawler=crawler,
-            config=crawler_config,
-        )
-        print(f"Completed {len(results)} URLs")
+        # Test URLs
+        urls = ["http://example.com", "http://example.org", "http://example.net"] * 3
 
+        print("\n📈 Initializing crawler with memory monitoring...")
+        async with AsyncWebCrawler(config=browser_config) as crawler:
+            monitor = CrawlerMonitor(
+                max_visible_rows=10,
+                display_mode=DisplayMode.DETAILED
+            )
+            
+            dispatcher = MemoryAdaptiveDispatcher(
+                memory_threshold_percent=80.0,
+                check_interval=0.5,
+                max_session_permit=5,
+                monitor=monitor
+            )
+            
+            print("\n🚀 Starting batch crawl...")
+            results = await crawler.arun_many(
+                urls=urls,
+                config=crawler_config,
+                dispatcher=dispatcher
+            )
+            print(f"\n✅ Completed {len(results)} URLs successfully")
+            
+    except Exception as e:
+        print(f"\n❌ Error in memory dispatcher demo: {str(e)}")
 
 async def demo_streaming_support():
     """
@@ -60,7 +103,7 @@ async def demo_streaming_support():
     """
     print("\n=== 2. Streaming Support Demo ===")
 
-    browser_config = BrowserConfig(headless=True, verbose=True)
+    browser_config = BrowserConfig(headless=True, verbose=False)
     crawler_config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, stream=True)
 
     # Test URLs
@@ -71,16 +114,17 @@ async def demo_streaming_support():
         dispatcher = MemoryAdaptiveDispatcher(max_session_permit=3, check_interval=0.5)
 
         print("Starting streaming crawl...")
-        async for result in dispatcher.run_urls_stream(
-            urls=urls, crawler=crawler, config=crawler_config
+        async for result in await crawler.arun_many(
+            urls=urls,
+            config=crawler_config,
+            dispatcher=dispatcher
         ):
             # Process each result as it arrives
             print(
-                f"Received result for {result.url} - Success: {result.result.success}"
+                f"Received result for {result.url} - Success: {result.success}"
             )
-            if result.result.success:
-                print(f"Content length: {len(result.result.markdown)}")
-
+            if result.success:
+                print(f"Content length: {len(result.markdown)}")
 
 async def demo_content_scraping():
     """
@@ -94,7 +138,10 @@ async def demo_content_scraping():
     url = "https://example.com/article"
 
     # Configure with the new LXML strategy
-    config = CrawlerRunConfig(scraping_strategy=LXMLWebScrapingStrategy(), verbose=True)
+    config = CrawlerRunConfig(
+        scraping_strategy=LXMLWebScrapingStrategy(), 
+        verbose=True
+    )
 
     print("Scraping content with LXML strategy...")
     async with crawler:
@@ -102,7 +149,6 @@ async def demo_content_scraping():
         if result.success:
             print("Successfully scraped content using LXML strategy")
 
-
 async def demo_llm_markdown():
     """
     4. LLM-Powered Markdown Generation Demo
@@ -153,7 +199,6 @@ async def demo_llm_markdown():
             print(result.markdown_v2.fit_markdown[:500])
             print("Successfully generated LLM-filtered markdown")
 
-
 async def demo_robots_compliance():
     """
     5. Robots.txt Compliance Demo
@@ -177,9 +222,7 @@ async def demo_robots_compliance():
             elif result.success:
                 print(f"Successfully crawled: {result.url}")
 
-
-
-async def demo_llm_schema_generation():
+async def demo_json_schema_generation():
     """
     7. LLM-Powered Schema Generation Demo
     =================================
@@ -232,21 +275,77 @@ async def demo_llm_schema_generation():
             print(json.dumps(result.extracted_content, indent=2) if result.extracted_content else None)
             print("Successfully used generated schema for crawling")
 
+async def demo_proxy_rotation():
+    """
+    8. Proxy Rotation Demo
+    ===================
+    Demonstrates how to rotate proxies for each request using Crawl4ai.
+    """
+    print("\n=== 8. Proxy Rotation Demo ===")
+
+    async def get_next_proxy(proxy_file: str = f"proxies.txt") -> Optional[Dict]:
+        """Get next proxy from local file"""
+        try:
+            proxies = os.getenv("PROXIES", "").split(",")
+                
+            ip, port, username, password = random.choice(proxies).split(":")
+            return {
+                "server": f"http://{ip}:{port}",
+                "username": username,
+                "password": password,
+                "ip": ip  # Store original IP for verification
+            }
+        except Exception as e:
+            print(f"Error loading proxy: {e}")
+            return None    
+    
+    # Create 10 test requests to httpbin
+    urls = ["https://httpbin.org/ip"] * 2
+    
+    browser_config = BrowserConfig(headless=True, verbose=False)
+    run_config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        for url in urls:
+            proxy = await get_next_proxy()
+            if not proxy:
+                print("No proxy available, skipping...")
+                continue
+                
+            # Create new config with proxy
+            current_config = run_config.clone(proxy_config=proxy, user_agent="")
+            result = await crawler.arun(url=url, config=current_config)
+            
+            if result.success:
+                ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
+                print(f"Proxy {proxy['ip']} -> Response IP: {ip_match.group(0) if ip_match else 'Not found'}")
+                verified = ip_match.group(0) == proxy['ip']
+                if verified:
+                    print(f"✅ Proxy working! IP matches: {proxy['ip']}")
+                else:
+                    print(f"❌ Proxy failed or IP mismatch!")
+            else:
+                print(f"Failed with proxy {proxy['ip']}")
 
 async def main():
     """Run all feature demonstrations."""
-    demo_memory_dispatcher(),
-    print("\n" + "=" * 50 + "\n")
-    demo_streaming_support(),
-    print("\n" + "=" * 50 + "\n")
-    demo_content_scraping(),
-    print("\n" + "=" * 50 + "\n")
-    demo_llm_schema_generation(),
-    print("\n" + "=" * 50 + "\n")
-    demo_llm_markdown(),
-    print("\n" + "=" * 50 + "\n")
-    demo_robots_compliance(),
-    print("\n" + "=" * 50 + "\n")
+    print("\n📊 Running Crawl4ai v0.4.3 Feature Demos\n")
+    
+    # Efficiency & Speed Demos
+    print("\n🚀 EFFICIENCY & SPEED DEMOS")
+    await demo_memory_dispatcher()
+    await demo_streaming_support()
+    await demo_content_scraping()
+    
+    # # LLM Integration Demos
+    print("\n🤖 LLM INTEGRATION DEMOS")
+    await demo_json_schema_generation()
+    await demo_llm_markdown()
+    
+    # # Core Improvements
+    print("\n🔧 CORE IMPROVEMENT DEMOS")
+    await demo_robots_compliance()
+    await demo_proxy_rotation()
 
 if __name__ == "__main__":
     asyncio.run(main())

docs/md_v2/advanced/multi-url-crawling.md

@@ -5,16 +5,20 @@
 ## 1. Introduction
 
 When crawling many URLs:
+
 - **Basic**: Use `arun()` in a loop (simple but less efficient)
 - **Better**: Use `arun_many()`, which efficiently handles multiple URLs with proper concurrency control
 - **Best**: Customize dispatcher behavior for your specific needs (memory management, rate limits, etc.)
 
 **Why Dispatchers?**  
+
 - **Adaptive**: Memory-based dispatchers can pause or slow down based on system resources
 - **Rate-limiting**: Built-in rate limiting with exponential backoff for 429/503 responses
 - **Real-time Monitoring**: Live dashboard of ongoing tasks, memory usage, and performance
 - **Flexibility**: Choose between memory-adaptive or semaphore-based concurrency
 
+---
+
 ## 2. Core Components
 
 ### 2.1 Rate Limiter
@@ -22,34 +26,116 @@ When crawling many URLs:
 ```python
 class RateLimiter:
     def __init__(
-        base_delay: Tuple[float, float] = (1.0, 3.0),  # Random delay range between requests
-        max_delay: float = 60.0,                        # Maximum backoff delay
-        max_retries: int = 3,                          # Retries before giving up
-        rate_limit_codes: List[int] = [429, 503]       # Status codes triggering backoff
+        # Random delay range between requests
+        base_delay: Tuple[float, float] = (1.0, 3.0),  
+        
+        # Maximum backoff delay
+        max_delay: float = 60.0,                        
+        
+        # Retries before giving up
+        max_retries: int = 3,                          
+        
+        # Status codes triggering backoff
+        rate_limit_codes: List[int] = [429, 503]        
     )
 ```
 
-The RateLimiter provides:
-- Random delays between requests
-- Exponential backoff on rate limit responses
-- Domain-specific rate limiting
-- Automatic retry handling
+Here’s the revised and simplified explanation of the **RateLimiter**, focusing on constructor parameters and adhering to your markdown style and mkDocs guidelines.
+
+#### RateLimiter Constructor Parameters
+
+The **RateLimiter** is a utility that helps manage the pace of requests to avoid overloading servers or getting blocked due to rate limits. It operates internally to delay requests and handle retries but can be configured using its constructor parameters.
+
+**Parameters of the `RateLimiter` constructor:**
+
+1. **`base_delay`** (`Tuple[float, float]`, default: `(1.0, 3.0)`)  
+  The range for a random delay (in seconds) between consecutive requests to the same domain.
+
+- A random delay is chosen between `base_delay[0]` and `base_delay[1]` for each request.  
+- This prevents sending requests at a predictable frequency, reducing the chances of triggering rate limits.
+
+**Example:**  
+If `base_delay = (2.0, 5.0)`, delays could be randomly chosen as `2.3s`, `4.1s`, etc.
+
+---
+
+2. **`max_delay`** (`float`, default: `60.0`)  
+  The maximum allowable delay when rate-limiting errors occur.
+
+- When servers return rate-limit responses (e.g., 429 or 503), the delay increases exponentially with jitter.  
+- The `max_delay` ensures the delay doesn’t grow unreasonably high, capping it at this value.
+
+**Example:**  
+For a `max_delay = 30.0`, even if backoff calculations suggest a delay of `45s`, it will cap at `30s`.
+
+---
+
+3. **`max_retries`** (`int`, default: `3`)  
+  The maximum number of retries for a request if rate-limiting errors occur.
+
+- After encountering a rate-limit response, the `RateLimiter` retries the request up to this number of times.  
+- If all retries fail, the request is marked as failed, and the process continues.
+
+**Example:**  
+If `max_retries = 3`, the system retries a failed request three times before giving up.
+
+---
+
+4. **`rate_limit_codes`** (`List[int]`, default: `[429, 503]`)  
+  A list of HTTP status codes that trigger the rate-limiting logic.
+
+- These status codes indicate the server is overwhelmed or actively limiting requests.  
+- You can customize this list to include other codes based on specific server behavior.
+
+**Example:**  
+If `rate_limit_codes = [429, 503, 504]`, the crawler will back off on these three error codes.
+
+---
+
+**How to Use the `RateLimiter`:**
+
+Here’s an example of initializing and using a `RateLimiter` in your project:
+
+```python
+from crawl4ai import RateLimiter
+
+# Create a RateLimiter with custom settings
+rate_limiter = RateLimiter(
+    base_delay=(2.0, 4.0),  # Random delay between 2-4 seconds
+    max_delay=30.0,         # Cap delay at 30 seconds
+    max_retries=5,          # Retry up to 5 times on rate-limiting errors
+    rate_limit_codes=[429, 503]  # Handle these HTTP status codes
+)
+
+# RateLimiter will handle delays and retries internally
+# No additional setup is required for its operation
+```
+
+The `RateLimiter` integrates seamlessly with dispatchers like `MemoryAdaptiveDispatcher` and `SemaphoreDispatcher`, ensuring requests are paced correctly without user intervention. Its internal mechanisms manage delays and retries to avoid overwhelming servers while maximizing efficiency.
+
 
 ### 2.2 Crawler Monitor
 
 The CrawlerMonitor provides real-time visibility into crawling operations:
 
 ```python
+from crawl4ai import CrawlerMonitor, DisplayMode
 monitor = CrawlerMonitor(
-    max_visible_rows=15,           # Maximum rows in live display
-    display_mode=DisplayMode.DETAILED  # DETAILED or AGGREGATED view
+    # Maximum rows in live display
+    max_visible_rows=15,          
+
+    # DETAILED or AGGREGATED view
+    display_mode=DisplayMode.DETAILED  
 )
 ```
 
 **Display Modes**:
+
 1. **DETAILED**: Shows individual task status, memory usage, and timing
 2. **AGGREGATED**: Displays summary statistics and overall progress
 
+---
+
 ## 3. Available Dispatchers
 
 ### 3.1 MemoryAdaptiveDispatcher (Default)
@@ -57,6 +143,8 @@ monitor = CrawlerMonitor(
 Automatically manages concurrency based on system memory usage:
 
 ```python
+from crawl4ai.async_dispatcher import MemoryAdaptiveDispatcher
+
 dispatcher = MemoryAdaptiveDispatcher(
     memory_threshold_percent=90.0,  # Pause if memory exceeds this
     check_interval=1.0,             # How often to check memory
@@ -73,13 +161,37 @@ dispatcher = MemoryAdaptiveDispatcher(
 )
 ```
 
+**Constructor Parameters:**
+
+1. **`memory_threshold_percent`** (`float`, default: `90.0`)  
+  Specifies the memory usage threshold (as a percentage). If system memory usage exceeds this value, the dispatcher pauses crawling to prevent system overload.
+
+2. **`check_interval`** (`float`, default: `1.0`)  
+  The interval (in seconds) at which the dispatcher checks system memory usage.
+
+3. **`max_session_permit`** (`int`, default: `10`)  
+  The maximum number of concurrent crawling tasks allowed. This ensures resource limits are respected while maintaining concurrency.
+
+4. **`memory_wait_timeout`** (`float`, default: `300.0`)  
+  Optional timeout (in seconds). If memory usage exceeds `memory_threshold_percent` for longer than this duration, a `MemoryError` is raised.
+
+5. **`rate_limiter`** (`RateLimiter`, default: `None`)  
+  Optional rate-limiting logic to avoid server-side blocking (e.g., for handling 429 or 503 errors). See **RateLimiter** for details.
+
+6. **`monitor`** (`CrawlerMonitor`, default: `None`)  
+  Optional monitoring for real-time task tracking and performance insights. See **CrawlerMonitor** for details.
+
+---
+
 ### 3.2 SemaphoreDispatcher
 
 Provides simple concurrency control with a fixed limit:
 
 ```python
+from crawl4ai.async_dispatcher import SemaphoreDispatcher
+
 dispatcher = SemaphoreDispatcher(
-    max_session_permit=5,             # Fixed concurrent tasks
+    max_session_permit=20,         # Maximum concurrent tasks
     rate_limiter=RateLimiter(      # Optional rate limiting
         base_delay=(0.5, 1.0),
         max_delay=10.0
@@ -91,6 +203,19 @@ dispatcher = SemaphoreDispatcher(
 )
 ```
 
+**Constructor Parameters:**
+
+1. **`max_session_permit`** (`int`, default: `20`)  
+  The maximum number of concurrent crawling tasks allowed, irrespective of semaphore slots.
+
+2. **`rate_limiter`** (`RateLimiter`, default: `None`)  
+  Optional rate-limiting logic to avoid overwhelming servers. See **RateLimiter** for details.
+
+3. **`monitor`** (`CrawlerMonitor`, default: `None`)  
+  Optional monitoring for tracking task progress and resource usage. See **CrawlerMonitor** for details.
+
+---
+
 ## 4. Usage Examples
 
 ### 4.1 Batch Processing (Default)
@@ -128,6 +253,14 @@ async def crawl_batch():
                 print(f"Failed to crawl {result.url}: {result.error_message}")
 ```
 
+**Review:**  
+- **Purpose:** Executes a batch crawl with all URLs processed together after crawling is complete.  
+- **Dispatcher:** Uses `MemoryAdaptiveDispatcher` to manage concurrency and system memory.  
+- **Stream:** Disabled (`stream=False`), so all results are collected at once for post-processing.  
+- **Best Use Case:** When you need to analyze results in bulk rather than individually during the crawl.
+
+---
+
 ### 4.2 Streaming Mode
 
 ```python
@@ -161,6 +294,14 @@ async def crawl_streaming():
                 print(f"Failed to crawl {result.url}: {result.error_message}")
 ```
 
+**Review:**  
+- **Purpose:** Enables streaming to process results as soon as they’re available.  
+- **Dispatcher:** Uses `MemoryAdaptiveDispatcher` for concurrency and memory management.  
+- **Stream:** Enabled (`stream=True`), allowing real-time processing during crawling.  
+- **Best Use Case:** When you need to act on results immediately, such as for real-time analytics or progressive data storage.
+
+---
+
 ### 4.3 Semaphore-based Crawling
 
 ```python
@@ -189,6 +330,14 @@ async def crawl_with_semaphore(urls):
         return results
 ```
 
+**Review:**  
+- **Purpose:** Uses `SemaphoreDispatcher` to limit concurrency with a fixed number of slots.  
+- **Dispatcher:** Configured with a semaphore to control parallel crawling tasks.  
+- **Rate Limiter:** Prevents servers from being overwhelmed by pacing requests.  
+- **Best Use Case:** When you want precise control over the number of concurrent requests, independent of system memory.
+
+---
+
 ### 4.4 Robots.txt Consideration
 
 ```python
@@ -221,11 +370,13 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-**Key Points**:
-- When `check_robots_txt=True`, each URL's robots.txt is checked before crawling
-- Robots.txt files are cached for efficiency
-- Failed robots.txt checks return 403 status code
-- Dispatcher handles robots.txt checks automatically for each URL
+**Review:**  
+- **Purpose:** Ensures compliance with `robots.txt` rules for ethical and legal web crawling.  
+- **Configuration:** Set `check_robots_txt=True` to validate each URL against `robots.txt` before crawling.  
+- **Dispatcher:** Handles requests with concurrency limits (`semaphore_count=3`).  
+- **Best Use Case:** When crawling websites that strictly enforce robots.txt policies or for responsible crawling practices.
+
+---
 
 ## 5. Dispatch Results
 
@@ -255,20 +406,24 @@ for result in results:
 
 ## 6. Summary
 
-1. **Two Dispatcher Types**:
+1. **Two Dispatcher Types**:
+
    - MemoryAdaptiveDispatcher (default): Dynamic concurrency based on memory
    - SemaphoreDispatcher: Fixed concurrency limit
 
-2. **Optional Components**:
+2. **Optional Components**:
+
    - RateLimiter: Smart request pacing and backoff
    - CrawlerMonitor: Real-time progress visualization
 
-3. **Key Benefits**:
+3. **Key Benefits**:
+
    - Automatic memory management
    - Built-in rate limiting
    - Live progress monitoring
    - Flexible concurrency control
 
 Choose the dispatcher that best fits your needs:
+
 - **MemoryAdaptiveDispatcher**: For large crawls or limited resources
 - **SemaphoreDispatcher**: For simple, fixed-concurrency scenarios

docs/md_v2/advanced/proxy-security.md

@@ -38,7 +38,7 @@ async with AsyncWebCrawler(config=browser_config) as crawler:
 
 Here's the corrected documentation:
 
-## Rotating Proxies [COMING SOON]
+## Rotating Proxies 
 
 Example using a proxy rotation service dynamically:
 

docs/md_v2/assets/styles.css

@@ -95,6 +95,10 @@ strong {
     
 }
 
+div.highlight {
+ margin-bottom: 2em;   
+}
+
 .terminal-card > header {
     color: var(--font-color);
     text-align: center;
@@ -231,6 +235,16 @@ pre {
     font-size: 2em;
 }
 
+.terminal h2 {
+    font-size: 1.5em;
+    margin-bottom: 0.8em;
+}
+
+.terminal h3 {
+    font-size: 1.3em;
+    margin-bottom: 0.8em;
+}
+
 .terminal h1, .terminal h2, .terminal h3, .terminal h4, .terminal h5, .terminal h6 {
     text-shadow: 0 0 0px var(--font-color), 0 0 0px var(--font-color), 0 0 0px var(--font-color);
 }

docs/md_v2/basic/installation.md

@@ -0,0 +1,137 @@
+# Installation 💻
+
+Crawl4AI offers flexible installation options to suit various use cases. You can install it as a Python package, use it with Docker, or run it as a local server.
+
+## Option 1: Python Package Installation (Recommended)
+
+Crawl4AI is now available on PyPI, making installation easier than ever. Choose the option that best fits your needs:
+
+### Basic Installation
+
+For basic web crawling and scraping tasks:
+
+```bash
+pip install crawl4ai
+playwright install # Install Playwright dependencies
+```
+
+### Installation with PyTorch
+
+For advanced text clustering (includes CosineSimilarity cluster strategy):
+
+```bash
+pip install crawl4ai[torch]
+```
+
+### Installation with Transformers
+
+For text summarization and Hugging Face models:
+
+```bash
+pip install crawl4ai[transformer]
+```
+
+### Full Installation
+
+For all features:
+
+```bash
+pip install crawl4ai[all]
+```
+
+### Development Installation
+
+For contributors who plan to modify the source code:
+
+```bash
+git clone https://github.com/unclecode/crawl4ai.git
+cd crawl4ai
+pip install -e ".[all]"
+playwright install # Install Playwright dependencies
+```
+
+💡 After installation with "torch", "transformer", or "all" options, it's recommended to run the following CLI command to load the required models:
+
+```bash
+crawl4ai-download-models
+```
+
+This is optional but will boost the performance and speed of the crawler. You only need to do this once after installation.
+
+## Playwright Installation Note for Ubuntu
+
+If you encounter issues with Playwright installation on Ubuntu, you may need to install additional dependencies:
+
+```bash
+sudo apt-get install -y \
+    libwoff1 \
+    libopus0 \
+    libwebp7 \
+    libwebpdemux2 \
+    libenchant-2-2 \
+    libgudev-1.0-0 \
+    libsecret-1-0 \
+    libhyphen0 \
+    libgdk-pixbuf2.0-0 \
+    libegl1 \
+    libnotify4 \
+    libxslt1.1 \
+    libevent-2.1-7 \
+    libgles2 \
+    libxcomposite1 \
+    libatk1.0-0 \
+    libatk-bridge2.0-0 \
+    libepoxy0 \
+    libgtk-3-0 \
+    libharfbuzz-icu0 \
+    libgstreamer-gl1.0-0 \
+    libgstreamer-plugins-bad1.0-0 \
+    gstreamer1.0-plugins-good \
+    gstreamer1.0-plugins-bad \
+    libxt6 \
+    libxaw7 \
+    xvfb \
+    fonts-noto-color-emoji \
+    libfontconfig \
+    libfreetype6 \
+    xfonts-cyrillic \
+    xfonts-scalable \
+    fonts-liberation \
+    fonts-ipafont-gothic \
+    fonts-wqy-zenhei \
+    fonts-tlwg-loma-otf \
+    fonts-freefont-ttf
+```
+
+## Option 2: Using Docker (Coming Soon)
+
+Docker support for Crawl4AI is currently in progress and will be available soon. This will allow you to run Crawl4AI in a containerized environment, ensuring consistency across different systems.
+
+## Option 3: Local Server Installation
+
+For those who prefer to run Crawl4AI as a local server, instructions will be provided once the Docker implementation is complete.
+
+## Verifying Your Installation
+
+After installation, you can verify that Crawl4AI is working correctly by running a simple Python script:
+
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler
+
+async def main():
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        result = await crawler.arun(url="https://www.example.com")
+        print(result.markdown[:500])  # Print first 500 characters
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+This script should successfully crawl the example website and print the first 500 characters of the extracted content.
+
+## Getting Help
+
+If you encounter any issues during installation or usage, please check the [documentation](https://docs.crawl4ai.com/) or raise an issue on the [GitHub repository](https://github.com/unclecode/crawl4ai/issues).
+
+Happy crawling! 🕷️🤖

docs/md_v2/blog/releases/v0.4.3b1.md

@@ -1,266 +1,138 @@
-# Crawl4AI 0.4.3b1 is Here: Faster, Smarter, and Ready for Real-World Crawling!
+# Crawl4AI 0.4.3: Major Performance Boost & LLM Integration
 
-Hey, Crawl4AI enthusiasts! We're thrilled to announce the release of **Crawl4AI 0.4.3b1**, packed with powerful new features and enhancements that take web crawling to a whole new level of efficiency and intelligence. This release is all about giving you more control, better performance, and deeper insights into your crawled data.
+We're excited to announce Crawl4AI 0.4.3, focusing on three key areas: Speed & Efficiency, LLM Integration, and Core Platform Improvements. This release significantly improves crawling performance while adding powerful new LLM-powered features.
 
-Let's dive into what's new!
+## ⚡ Speed & Efficiency Improvements
 
-## 🚀 Major Feature Highlights
-
-### 1. LLM-Powered Schema Generation: Zero to Structured Data in Seconds!
-
-Tired of manually crafting CSS or XPath selectors? We've got you covered! Crawl4AI now features a revolutionary **schema generator** that uses the power of Large Language Models (LLMs) to automatically create extraction schemas for you.
-
-**How it Works:**
-
-1. **Provide HTML**: Feed in a sample HTML snippet that contains the type of data you want to extract (e.g., product listings, article sections).
-2. **Describe Your Needs (Optional)**: You can provide a natural language query like "extract all product names and prices" to guide the schema creation.
-3. **Choose Your LLM**: Use either **OpenAI** (GPT-4o recommended) for top-tier accuracy or **Ollama** for a local, open-source option.
-4. **Get Your Schema**: The tool outputs a ready-to-use JSON schema that works seamlessly with `JsonCssExtractionStrategy` or `JsonXPathExtractionStrategy`.
-
-**Why You'll Love It:**
-
--   **No More Tedious Selector Writing**: Let the LLM analyze the HTML and create the selectors for you!
--   **One-Time Cost**: Schema generation uses LLM, but once you have your schema, subsequent extractions are fast and LLM-free.
--   **Handles Complex Structures**: The LLM can understand nested elements, lists, and variations in layout—far beyond what simple CSS selectors can achieve.
--   **Learn by Example**: The generated schemas are a fantastic way to learn best practices for writing your own schemas.
-
-**Example:**
+### 1. Memory-Adaptive Dispatcher System
+The new dispatcher system provides intelligent resource management and real-time monitoring:
 
 ```python
-from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
-
-# Sample HTML snippet (imagine this is part of a product listing page)
-html = """
-<div class="product">
-    <h2 class="name">Awesome Gadget</h2>
-    <span class="price">$99.99</span>
-</div>
-"""
-
-# Generate schema using OpenAI
-schema = JsonCssExtractionStrategy.generate_schema(
-    html,
-    llm_provider="openai/gpt-4o",
-    api_token="YOUR_API_TOKEN"
-)
-
-# Or use Ollama for a local, open-source option
-# schema = JsonCssExtractionStrategy.generate_schema(
-#     html,
-#     llm_provider="ollama/llama3"
-# )
-
-print(json.dumps(schema, indent=2))
-```
-
-**Output (Schema):**
-
-```json
-{
-  "name": null,
-  "baseSelector": "div.product",
-  "fields": [
-    {
-      "name": "name",
-      "selector": "h2.name",
-      "type": "text"
-    },
-    {
-      "name": "price",
-      "selector": "span.price",
-      "type": "text"
-    }
-  ]
-}
-```
-
-You can now **save** this schema and use it for all your extractions on pages with the same structure. No more LLM costs, just **fast, reliable** data extraction!
-
-### 2. Robots.txt Compliance: Crawl Responsibly
-
-Crawl4AI now respects website rules! With the new `check_robots_txt=True` option in `CrawlerRunConfig`, the crawler automatically fetches, parses, and obeys each site's `robots.txt` file.
-
-**Key Features**:
-
--   **Efficient Caching**: Stores parsed `robots.txt` files locally for 7 days to avoid re-fetching.
--   **Automatic Integration**: Works seamlessly with both `arun()` and `arun_many()`.
--   **Clear Status Codes**: Returns a 403 status code if a URL is disallowed.
--   **Customizable**: Adjust the cache directory and TTL if needed.
-
-**Example**:
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, DisplayMode
+from crawl4ai.async_dispatcher import MemoryAdaptiveDispatcher, CrawlerMonitor
 
 async def main():
-    config = CrawlerRunConfig(
-        cache_mode=CacheMode.ENABLED,
-        check_robots_txt=True
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun("https://example.com/private-page", config=config)
-        if result.status_code == 403:
-            print("Access denied by robots.txt")
-
-if __name__ == "__main__":
-    asyncio.run(main())
-```
-
-### 3. Proxy Support in `CrawlerRunConfig`
-
-Need more control over your proxy settings? Now you can configure proxies directly within `CrawlerRunConfig` for each crawl:
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
-
-async def main():
-    config = CrawlerRunConfig(
-        proxy_config={
-            "server": "http://your-proxy.com:8080",
-            "username": "your_username",  # Optional
-            "password": "your_password"  # Optional
-        }
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun("https://example.com", config=config)
-```
-
-This allows for dynamic proxy assignment per URL or even per request.
-
-### 4. LLM-Powered Markdown Filtering (Beta)
-
-We're introducing an experimental **`LLMContentFilter`**! This filter, when used with the `DefaultMarkdownGenerator`, can produce highly focused markdown output by using an LLM to analyze content relevance.
-
-**How it Works:**
-
-1. You provide an **instruction** (e.g., "extract only the key technical details").
-2. The LLM analyzes each section of the page based on your instruction.
-3. Only the most relevant content is included in the final `fit_markdown`.
-
-**Example**:
-
-```python
-from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
-from crawl4ai.content_filter_strategy import LLMContentFilter
-from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
-
-async def main():
-    llm_filter = LLMContentFilter(
-        provider="openai/gpt-4o",
-        api_token="YOUR_API_TOKEN",  # Or use "ollama/llama3" with no token
-        instruction="Extract the core educational content about Python classes."
-    )
-
-    config = CrawlerRunConfig(
-        markdown_generator=DefaultMarkdownGenerator(content_filter=llm_filter)
-    )
-
-    async with AsyncWebCrawler() as crawler:
-        result = await crawler.arun(
-            "https://docs.python.org/3/tutorial/classes.html",
-            config=config
+    urls = ["https://example1.com", "https://example2.com"] * 50
+    
+    # Configure memory-aware dispatch
+    dispatcher = MemoryAdaptiveDispatcher(
+        memory_threshold_percent=80.0,  # Auto-throttle at 80% memory
+        check_interval=0.5,             # Check every 0.5 seconds
+        max_session_permit=20,          # Max concurrent sessions
+        monitor=CrawlerMonitor(         # Real-time monitoring
+            display_mode=DisplayMode.DETAILED
+        )
+    )
+    
+    async with AsyncWebCrawler() as crawler:
+        results = await dispatcher.run_urls(
+            urls=urls,
+            crawler=crawler,
+            config=CrawlerRunConfig()
         )
-        print(result.markdown_v2.fit_markdown)
-
-if __name__ == "__main__":
-    asyncio.run(main())
 ```
 
-**Note**: This is a beta feature. We're actively working on improving its accuracy and performance.
-
-### 5. Streamlined `arun_many()` with Dispatchers
-
-We've simplified concurrent crawling! `arun_many()` now intelligently handles multiple URLs, either returning a **list** of results or an **async generator** for streaming.
-
-**Basic Usage (Batch)**:
+### 2. Streaming Support
+Process crawled URLs in real-time instead of waiting for all results:
 
 ```python
-results = await crawler.arun_many(
-    urls=["https://site1.com", "https://site2.com"],
-    config=CrawlerRunConfig()
-)
+config = CrawlerRunConfig(stream=True)
 
-for res in results:
-    print(res.url, "crawled successfully:", res.success)
+async with AsyncWebCrawler() as crawler:
+    async for result in await crawler.arun_many(urls, config=config):
+        print(f"Got result for {result.url}")
+        # Process each result immediately
 ```
 
-**Streaming Mode**:
+### 3. LXML-Based Scraping
+New LXML scraping strategy offering up to 20x faster parsing:
 
 ```python
-async for result in await crawler.arun_many(
-    urls=["https://site1.com", "https://site2.com"],
-    config=CrawlerRunConfig(stream=True)
-):
-    print("Just finished:", result.url)
-    # Process each result immediately
-```
-
-**Advanced:** You can now customize how `arun_many` handles concurrency by passing a **dispatcher**. See [Advanced Multi-URL Crawling](../advanced/multi-url-crawling.md) for details.
-
-### 6. Enhanced Browser Context Management
-
-We've improved how Crawl4AI manages browser contexts for better resource utilization and session handling.
-
--   **`shared_data` in `CrawlerRunConfig`**: Pass data between hooks using the `shared_data` dictionary.
--   **Context Reuse**: The crawler now intelligently reuses browser contexts based on configuration, reducing overhead.
-
-### 7. Faster Scraping with `LXMLWebScrapingStrategy`
-
-Introducing a new, optional **`LXMLWebScrapingStrategy`** that can be **10-20x faster** than the default BeautifulSoup approach for large, complex pages.
-
-**How to Use**:
-
-```python
-from crawl4ai import LXMLWebScrapingStrategy
-
 config = CrawlerRunConfig(
-    scraping_strategy=LXMLWebScrapingStrategy()  # Add this line
+    scraping_strategy=LXMLWebScrapingStrategy(),
+    cache_mode=CacheMode.ENABLED
 )
 ```
 
-**When to Use**:
-- If profiling shows a bottleneck in `WebScrapingStrategy`.
-- For very large HTML documents where parsing speed matters.
+## 🤖 LLM Integration
 
-**Caveats**:
-- It might not handle malformed HTML as gracefully as BeautifulSoup.
-- We're still gathering data, so report any issues!
+### 1. LLM-Powered Markdown Generation
+Smart content filtering and organization using LLMs:
 
----
+```python
+config = CrawlerRunConfig(
+    markdown_generator=DefaultMarkdownGenerator(
+        content_filter=LLMContentFilter(
+            provider="openai/gpt-4o",
+            instruction="Extract technical documentation and code examples"
+        )
+    )
+)
+```
 
-## Try the Feature Demo Script!
+### 2. Automatic Schema Generation
+Generate extraction schemas instantly using LLMs instead of manual CSS/XPath writing:
 
-We've prepared a Python script demonstrating these new features. You can find it at:
+```python
+schema = JsonCssExtractionStrategy.generate_schema(
+    html_content,
+    schema_type="CSS",
+    query="Extract product name, price, and description"
+)
+```
 
-[**`features_demo.py`**](https://github.com/unclecode/crawl4ai/blob/main/docs/examples/0_4_3b1_feature_demo.py)
+## 🔧 Core Improvements
 
-**To run the demo:**
+### 1. Proxy Support & Rotation
+Integrated proxy support with automatic rotation and verification:
 
-1. Make sure you have Crawl4AI installed (`pip install crawl4ai`).
-2. Copy the `features_demo.py` script to your local environment.
-3. Set your OpenAI API key as an environment variable (if using OpenAI models):
-    ```bash
-    export OPENAI_API_KEY="your_api_key"
-    ```
-4. Run the script:
-    ```bash
-    python features_demo.py
-    ```
+```python
+config = CrawlerRunConfig(
+    proxy_config={
+        "server": "http://proxy:8080",
+        "username": "user",
+        "password": "pass"
+    }
+)
+```
 
-The script will execute various crawl scenarios, showcasing the new features and printing results to your console.
+### 2. Robots.txt Compliance
+Built-in robots.txt support with SQLite caching:
 
-## Conclusion
+```python
+config = CrawlerRunConfig(check_robots_txt=True)
+result = await crawler.arun(url, config=config)
+if result.status_code == 403:
+    print("Access blocked by robots.txt")
+```
 
-Crawl4AI version 0.4.3b1 is a major step forward in flexibility, performance, and ease of use. With automatic schema generation, robots.txt handling, advanced content filtering, and streamlined multi-URL crawling, you can build powerful, efficient, and responsible web scrapers.
+### 3. URL Redirection Tracking
+Track final URLs after redirects:
 
-We encourage you to try out these new capabilities, explore the updated documentation, and share your feedback! Your input is invaluable as we continue to improve Crawl4AI.
+```python
+result = await crawler.arun(url)
+print(f"Initial URL: {url}")
+print(f"Final URL: {result.redirected_url}")
+```
 
-**Stay Connected:**
+## Performance Impact
 
--   **Star** us on [GitHub](https://github.com/unclecode/crawl4ai) to show your support!
--   **Follow** [@unclecode](https://twitter.com/unclecode) on Twitter for updates and tips.
--   **Join** our community on Discord (link coming soon) to discuss your projects and get help.
+- Memory usage reduced by up to 40% with adaptive dispatcher
+- Parsing speed increased up to 20x with LXML strategy
+- Streaming reduces memory footprint for large crawls by ~60%
 
-Happy crawling!
+## Getting Started
+
+```bash
+pip install -U crawl4ai
+```
+
+For complete examples, check our [demo repository](https://github.com/unclecode/crawl4ai/examples).
+
+## Stay Connected
+
+- Star us on [GitHub](https://github.com/unclecode/crawl4ai)
+- Follow [@unclecode](https://twitter.com/unclecode)
+- Join our [Discord](https://discord.gg/crawl4ai)
+
+Happy crawling! 🕷️

mkdocs.yml

@@ -1,4 +1,4 @@
-site_name: Crawl4AI Documentation
+site_name: Crawl4AI Documentation (v0.4.3b2)
 site_description:  🚀🤖 Crawl4AI, Open-source LLM-Friendly Web Crawler & Scraper
 site_url: https://docs.crawl4ai.com
 repo_url: https://github.com/unclecode/crawl4ai
@@ -52,6 +52,11 @@ nav:
 theme:
   name: 'terminal'
   palette: 'dark'
+  icon:
+    repo: fontawesome/brands/github
+
+plugins:
+  - search
 
 markdown_extensions:
   - pymdownx.highlight:
@@ -64,6 +69,9 @@ markdown_extensions:
   - attr_list
   - tables
 
+extra:
+  version: !ENV [CRAWL4AI_VERSION, 'development']
+
 extra_css:
   - assets/styles.css
   - assets/highlight.css
@@ -72,3 +80,4 @@ extra_css:
 extra_javascript:
   - assets/highlight.min.js
   - assets/highlight_init.js
+  - https://buttons.github.io/buttons.js

pyproject.toml

@@ -37,6 +37,7 @@ dependencies = [
     "rich>=13.9.4",
     "cssselect>=1.2.0",
     "httpx==0.27.2",
+    "fake-useragent>=2.0.3"
 ]
 classifiers = [
     "Development Status :: 4 - Beta",