Release v0.7.6: The 0.7.6 Update

- Updated version to 0.7.6 - Added comprehensive demo and release notes - Updated all documentation - Update the veriosn in Dockerfile to 0.7.6
2025-10-22 13:46:54 +02:00
28 changed files with 703 additions and 2413 deletions
--- a/crawl4ai/async_crawler_strategy.py
+++ b/crawl4ai/async_crawler_strategy.py
@@ -1383,10 +1383,9 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
        try:
            await self.adapter.evaluate(page,
                f"""
-                (async () => {{
+                (() => {{
                    try {{
-                        const removeOverlays = {remove_overlays_js};
+                        {remove_overlays_js}
                        await removeOverlays();
                        return {{ success: true }};
                    }} catch (error) {{
                        return {{
--- a/crawl4ai/async_webcrawler.py
+++ b/crawl4ai/async_webcrawler.py
@@ -617,17 +617,7 @@ class AsyncWebCrawler:
                else config.chunking_strategy
            )
            sections = chunking.chunk(content)
-            # extracted_content = config.extraction_strategy.run(url, sections)
+            extracted_content = config.extraction_strategy.run(url, sections)
            # Use async version if available for better parallelism
            if hasattr(config.extraction_strategy, 'arun'):
                extracted_content = await config.extraction_strategy.arun(url, sections)
            else:
                # Fallback to sync version run in thread pool to avoid blocking
                extracted_content = await asyncio.to_thread(
                    config.extraction_strategy.run, url, sections
                )
            extracted_content = json.dumps(
                extracted_content, indent=4, default=str, ensure_ascii=False
            )
--- a/crawl4ai/browser_manager.py
+++ b/crawl4ai/browser_manager.py
@@ -369,9 +369,6 @@ class ManagedBrowser:
            ]
            if self.headless:
                flags.append("--headless=new")
            # Add viewport flag if specified in config
            if self.browser_config.viewport_height and self.browser_config.viewport_width:
                flags.append(f"--window-size={self.browser_config.viewport_width},{self.browser_config.viewport_height}")
            # merge common launch flags
            flags.extend(self.build_browser_flags(self.browser_config))
        elif self.browser_type == "firefox":
--- a/crawl4ai/extraction_strategy.py
+++ b/crawl4ai/extraction_strategy.py
@@ -94,20 +94,6 @@ class ExtractionStrategy(ABC):
                extracted_content.extend(future.result())
        return extracted_content
    async def arun(self, url: str, sections: List[str], *q, **kwargs) -> List[Dict[str, Any]]:
        """
        Async version: Process sections of text in parallel using asyncio.
        Default implementation runs the sync version in a thread pool.
        Subclasses can override this for true async processing.
        :param url: The URL of the webpage.
        :param sections: List of sections (strings) to process.
        :return: A list of processed JSON blocks.
        """
        import asyncio
        return await asyncio.to_thread(self.run, url, sections, *q, **kwargs)
 class NoExtractionStrategy(ExtractionStrategy):
    """
@@ -794,177 +780,6 @@ class LLMExtractionStrategy(ExtractionStrategy):
        return extracted_content
    async def aextract(self, url: str, ix: int, html: str) -> List[Dict[str, Any]]:
        """
        Async version: Extract meaningful blocks or chunks from the given HTML using an LLM.
        How it works:
        1. Construct a prompt with variables.
        2. Make an async request to the LLM using the prompt.
        3. Parse the response and extract blocks or chunks.
        Args:
            url: The URL of the webpage.
            ix: Index of the block.
            html: The HTML content of the webpage.
        Returns:
            A list of extracted blocks or chunks.
        """
        from .utils import aperform_completion_with_backoff
        if self.verbose:
            print(f"[LOG] Call LLM for {url} - block index: {ix}")
        variable_values = {
            "URL": url,
            "HTML": escape_json_string(sanitize_html(html)),
        }
        prompt_with_variables = PROMPT_EXTRACT_BLOCKS
        if self.instruction:
            variable_values["REQUEST"] = self.instruction
            prompt_with_variables = PROMPT_EXTRACT_BLOCKS_WITH_INSTRUCTION
        if self.extract_type == "schema" and self.schema:
            variable_values["SCHEMA"] = json.dumps(self.schema, indent=2)
            prompt_with_variables = PROMPT_EXTRACT_SCHEMA_WITH_INSTRUCTION
        if self.extract_type == "schema" and not self.schema:
            prompt_with_variables = PROMPT_EXTRACT_INFERRED_SCHEMA
        for variable in variable_values:
            prompt_with_variables = prompt_with_variables.replace(
                "{" + variable + "}", variable_values[variable]
            )
        try:
            response = await aperform_completion_with_backoff(
                self.llm_config.provider,
                prompt_with_variables,
                self.llm_config.api_token,
                base_url=self.llm_config.base_url,
                json_response=self.force_json_response,
                extra_args=self.extra_args,
            )
            # Track usage
            usage = TokenUsage(
                completion_tokens=response.usage.completion_tokens,
                prompt_tokens=response.usage.prompt_tokens,
                total_tokens=response.usage.total_tokens,
                completion_tokens_details=response.usage.completion_tokens_details.__dict__
                if response.usage.completion_tokens_details
                else {},
                prompt_tokens_details=response.usage.prompt_tokens_details.__dict__
                if response.usage.prompt_tokens_details
                else {},
            )
            self.usages.append(usage)
            # Update totals
            self.total_usage.completion_tokens += usage.completion_tokens
            self.total_usage.prompt_tokens += usage.prompt_tokens
            self.total_usage.total_tokens += usage.total_tokens
            try:
                content = response.choices[0].message.content
                blocks = None
                if self.force_json_response:
                    blocks = json.loads(content)
                    if isinstance(blocks, dict):
                        if len(blocks) == 1 and isinstance(list(blocks.values())[0], list):
                            blocks = list(blocks.values())[0]
                        else:
                            blocks = [blocks]
                    elif isinstance(blocks, list):
                        blocks = blocks
                else:
                    blocks = extract_xml_data(["blocks"], content)["blocks"]
                    blocks = json.loads(blocks)
                for block in blocks:
                    block["error"] = False
            except Exception:
                parsed, unparsed = split_and_parse_json_objects(
                    response.choices[0].message.content
                )
                blocks = parsed
                if unparsed:
                    blocks.append(
                        {"index": 0, "error": True, "tags": ["error"], "content": unparsed}
                    )
            if self.verbose:
                print(
                    "[LOG] Extracted",
                    len(blocks),
                    "blocks from URL:",
                    url,
                    "block index:",
                    ix,
                )
            return blocks
        except Exception as e:
            if self.verbose:
                print(f"[LOG] Error in LLM extraction: {e}")
            return [
                {
                    "index": ix,
                    "error": True,
                    "tags": ["error"],
                    "content": str(e),
                }
            ]
    async def arun(self, url: str, sections: List[str]) -> List[Dict[str, Any]]:
        """
        Async version: Process sections with true parallelism using asyncio.gather.
        Args:
            url: The URL of the webpage.
            sections: List of sections (strings) to process.
        Returns:
            A list of extracted blocks or chunks.
        """
        import asyncio
        merged_sections = self._merge(
            sections,
            self.chunk_token_threshold,
            overlap=int(self.chunk_token_threshold * self.overlap_rate),
        )
        extracted_content = []
        # Create tasks for all sections to run in parallel
        tasks = [
            self.aextract(url, ix, sanitize_input_encode(section))
            for ix, section in enumerate(merged_sections)
        ]
        # Execute all tasks concurrently
        results = await asyncio.gather(*tasks, return_exceptions=True)
        # Process results
        for result in results:
            if isinstance(result, Exception):
                if self.verbose:
                    print(f"Error in async extraction: {result}")
                extracted_content.append(
                    {
                        "index": 0,
                        "error": True,
                        "tags": ["error"],
                        "content": str(result),
                    }
                )
            else:
                extracted_content.extend(result)
        return extracted_content
    def show_usage(self) -> None:
        """Print a detailed token usage report showing total and per-request usage."""
        print("\n=== Token Usage Summary ===")
--- a/crawl4ai/utils.py
+++ b/crawl4ai/utils.py
@@ -1825,82 +1825,6 @@ def perform_completion_with_backoff(
            # ]
 async def aperform_completion_with_backoff(
    provider,
    prompt_with_variables,
    api_token,
    json_response=False,
    base_url=None,
    **kwargs,
 ):
    """
    Async version: Perform an API completion request with exponential backoff.
    How it works:
    1. Sends an async completion request to the API.
    2. Retries on rate-limit errors with exponential delays (async).
    3. Returns the API response or an error after all retries.
    Args:
        provider (str): The name of the API provider.
        prompt_with_variables (str): The input prompt for the completion request.
        api_token (str): The API token for authentication.
        json_response (bool): Whether to request a JSON response. Defaults to False.
        base_url (Optional[str]): The base URL for the API. Defaults to None.
        **kwargs: Additional arguments for the API request.
    Returns:
        dict: The API response or an error message after all retries.
    """
    from litellm import acompletion
    from litellm.exceptions import RateLimitError
    import asyncio
    max_attempts = 3
    base_delay = 2  # Base delay in seconds, you can adjust this based on your needs
    extra_args = {"temperature": 0.01, "api_key": api_token, "base_url": base_url}
    if json_response:
        extra_args["response_format"] = {"type": "json_object"}
    if kwargs.get("extra_args"):
        extra_args.update(kwargs["extra_args"])
    for attempt in range(max_attempts):
        try:
            response = await acompletion(
                model=provider,
                messages=[{"role": "user", "content": prompt_with_variables}],
                **extra_args,
            )
            return response  # Return the successful response
        except RateLimitError as e:
            print("Rate limit error:", str(e))
            if attempt == max_attempts - 1:
                # Last attempt failed, raise the error.
                raise
            # Check if we have exhausted our max attempts
            if attempt < max_attempts - 1:
                # Calculate the delay and wait
                delay = base_delay * (2**attempt)  # Exponential backoff formula
                print(f"Waiting for {delay} seconds before retrying...")
                await asyncio.sleep(delay)
            else:
                # Return an error response after exhausting all retries
                return [
                    {
                        "index": 0,
                        "tags": ["error"],
                        "content": ["Rate limit error. Please try again later."],
                    }
                ]
        except Exception as e:
            raise e  # Raise any other exceptions immediately
 def extract_blocks(url, html, provider=DEFAULT_PROVIDER, api_token=None, base_url=None):
    """
    Extract content blocks from website HTML using an AI provider.
--- a/deploy/docker/README.md
+++ b/deploy/docker/README.md
@@ -785,54 +785,6 @@ curl http://localhost:11235/crawl/job/crawl_xyz
 The response includes `status` field: `"processing"`, `"completed"`, or `"failed"`.
 #### LLM Extraction Jobs with Webhooks
 The same webhook system works for LLM extraction jobs via `/llm/job`:
 ```bash
 # Submit LLM extraction job with webhook
 curl -X POST http://localhost:11235/llm/job \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/article",
    "q": "Extract the article title, author, and main points",
    "provider": "openai/gpt-4o-mini",
    "webhook_config": {
      "webhook_url": "https://myapp.com/webhooks/llm-complete",
      "webhook_data_in_payload": true,
      "webhook_headers": {
        "X-Webhook-Secret": "your-secret-token"
      }
    }
  }'
 # Response: {"task_id": "llm_1234567890"}
 ```
 **Your webhook receives:**
 ```json
 {
  "task_id": "llm_1234567890",
  "task_type": "llm_extraction",
  "status": "completed",
  "timestamp": "2025-10-22T12:30:00.000000+00:00",
  "urls": ["https://example.com/article"],
  "data": {
    "extracted_content": {
      "title": "Understanding Web Scraping",
      "author": "John Doe",
      "main_points": ["Point 1", "Point 2", "Point 3"]
    }
  }
 }
 ```
 **Key Differences for LLM Jobs:**
 - Task type is `"llm_extraction"` instead of `"crawl"`
 - Extracted data is in `data.extracted_content`
 - Single URL only (not an array)
 - Supports schema-based extraction with `schema` parameter
 > 💡 **Pro tip**: See [WEBHOOK_EXAMPLES.md](./WEBHOOK_EXAMPLES.md) for detailed examples including TypeScript client code, Flask webhook handlers, and failure handling.
 ---
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -6,16 +6,15 @@ x-base-config: &base-config
    - "11235:11235"  # Gunicorn port
  env_file:
    - .llm.env       # API keys (create from .llm.env.example)
-  # Uncomment to set default environment variables (will overwrite .llm.env)
+  environment:
-  # environment:
+    - OPENAI_API_KEY=${OPENAI_API_KEY:-}
-  #   - OPENAI_API_KEY=${OPENAI_API_KEY:-}
+    - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
-  #   - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
+    - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
-  #   - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
+    - GROQ_API_KEY=${GROQ_API_KEY:-}
-  #   - GROQ_API_KEY=${GROQ_API_KEY:-}
+    - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
-  #   - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
+    - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
-  #   - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
+    - GEMINI_API_TOKEN=${GEMINI_API_TOKEN:-}
-  #   - GEMINI_API_KEY=${GEMINI_API_KEY:-}
+    - LLM_PROVIDER=${LLM_PROVIDER:-}  # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
  #   - LLM_PROVIDER=${LLM_PROVIDER:-}  # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
  volumes:
    - /dev/shm:/dev/shm  # Chromium performance
  deploy:
--- a/docs/examples/c4a_script/tutorial/README.md
+++ b/docs/examples/c4a_script/tutorial/README.md
@@ -18,7 +18,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 2. **Install Dependencies**
   ```bash
-   pip install -r requirements.txt
+   pip install flask
   ```
 3. **Launch the Server**
@@ -28,7 +28,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 4. **Open in Browser**
   ```
-   http://localhost:8000
+   http://localhost:8080
   ```
 **🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
@@ -325,7 +325,7 @@ Powers the recording functionality:
 ### Configuration
 ```python
 # server.py configuration
-PORT = 8000
+PORT = 8080
 DEBUG = True
 THREADED = True
 ```
@@ -343,9 +343,9 @@ THREADED = True
 **Port Already in Use**
 ```bash
 # Kill existing process
-lsof -ti:8000 | xargs kill -9
+lsof -ti:8080 | xargs kill -9
 # Or use different port
-python server.py --port 8001
+python server.py --port 8081
 ```
 **Blockly Not Loading**
--- a/docs/examples/c4a_script/tutorial/server.py
+++ b/docs/examples/c4a_script/tutorial/server.py
@@ -216,7 +216,7 @@ def get_examples():
            'name': 'Handle Cookie Banner',
            'description': 'Accept cookies and close newsletter popup',
            'script': '''# Handle cookie banner and newsletter
-GO http://127.0.0.1:8000/playground/
+GO http://127.0.0.1:8080/playground/
 WAIT `body` 2
 IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
 IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''
--- a/docs/examples/docker_hooks_examples.py
+++ b/docs/examples/docker_hooks_examples.py
@@ -1,445 +1,229 @@
 #!/usr/bin/env python3
 """
-🚀 Crawl4AI Docker Hooks System - Complete Examples
+Comprehensive test demonstrating all hook types from hooks_example.py
-====================================================
+adapted for the Docker API with real URLs
 This file demonstrates the Docker Hooks System with three different approaches:
 1. String-based hooks for REST API
 2. hooks_to_string() utility to convert functions
 3. Docker Client with automatic conversion (most convenient)
 Requirements:
 - Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
 - crawl4ai installed: pip install crawl4ai
 """
 import asyncio
 import requests
 import json
 import time
 from typing import Dict, Any
-# Import Crawl4AI components
+# API_BASE_URL = "http://localhost:11234"
-from crawl4ai import hooks_to_string
+API_BASE_URL = "http://localhost:11235"
 from crawl4ai.docker_client import Crawl4aiDockerClient
 # Configuration
 DOCKER_URL = "http://localhost:11235"
 TEST_URLS = [
    "https://www.kidocode.com",
    "https://quotes.toscrape.com",
    "https://httpbin.org/html",
 ]
-def print_section(title: str, description: str = ""):
+def test_all_hooks_demo():
-    """Print a formatted section header"""
+    """Demonstrate all 8 hook types with practical examples"""
-    print("\n" + "=" * 70)
+    print("=" * 70)
-    print(f"  {title}")
+    print("Testing: All Hooks Comprehensive Demo")
-    if description:
+    print("=" * 70)
        print(f"  {description}")
    print("=" * 70 + "\n")
    hooks_code = {
        "on_browser_created": """
 async def hook(browser, **kwargs):
    # Hook called after browser is created
    print("[HOOK] on_browser_created - Browser is ready!")
    # Browser-level configurations would go here
    return browser
 """,
 def check_docker_service() -> bool:
    """Check if Docker service is running"""
    try:
        response = requests.get(f"{DOCKER_URL}/health", timeout=3)
        return response.status_code == 200
    except:
        return False
 # ============================================================================
 # REUSABLE HOOK LIBRARY
 # ============================================================================
 async def performance_optimization_hook(page, context, **kwargs):
    """
    Performance Hook: Block unnecessary resources to speed up crawling
    """
    print("  [Hook] 🚀 Optimizing performance - blocking images and ads...")
    # Block images
    await context.route(
        "**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
        lambda route: route.abort()
    )
    # Block ads and analytics
    await context.route("**/analytics/*", lambda route: route.abort())
    await context.route("**/ads/*", lambda route: route.abort())
    await context.route("**/google-analytics.com/*", lambda route: route.abort())
    print("  [Hook] ✓ Performance optimization applied")
    return page
 async def viewport_setup_hook(page, context, **kwargs):
    """
    Viewport Hook: Set consistent viewport size for rendering
    """
    print("  [Hook] 🖥️  Setting viewport to 1920x1080...")
    await page.set_viewport_size({"width": 1920, "height": 1080})
    print("  [Hook] ✓ Viewport configured")
    return page
 async def authentication_headers_hook(page, context, url, **kwargs):
    """
    Headers Hook: Add custom authentication and tracking headers
    """
    print(f"  [Hook] 🔐 Adding custom headers for {url[:50]}...")
    await page.set_extra_http_headers({
        'X-Crawl4AI': 'docker-hooks',
        'X-Custom-Hook': 'function-based',
        'Accept-Language': 'en-US,en;q=0.9',
    })
    print("  [Hook] ✓ Custom headers added")
    return page
 async def lazy_loading_handler_hook(page, context, **kwargs):
    """
    Content Hook: Handle lazy-loaded content by scrolling
    """
    print("  [Hook] 📜 Scrolling to load lazy content...")
    # Scroll to bottom
    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
    await page.wait_for_timeout(1000)
    # Scroll to middle
    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
    await page.wait_for_timeout(500)
    # Scroll back to top
    await page.evaluate("window.scrollTo(0, 0)")
    await page.wait_for_timeout(500)
    print("  [Hook] ✓ Lazy content loaded")
    return page
 async def page_analytics_hook(page, context, **kwargs):
    """
    Analytics Hook: Log page metrics before extraction
    """
    print("  [Hook] 📊 Collecting page analytics...")
    metrics = await page.evaluate('''
        () => ({
            title: document.title,
            images: document.images.length,
            links: document.links.length,
            scripts: document.scripts.length,
            headings: document.querySelectorAll('h1, h2, h3').length,
            paragraphs: document.querySelectorAll('p').length
        })
    ''')
    print(f"  [Hook] 📈 Page: {metrics['title'][:50]}...")
    print(f"         Links: {metrics['links']}, Images: {metrics['images']}, "
          f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
    return page
 # ============================================================================
 # APPROACH 1: String-Based Hooks (REST API)
 # ============================================================================
 def example_1_string_based_hooks():
    """
    Demonstrate string-based hooks with REST API
    Use this when working with REST API directly or non-Python clients
    """
    print_section(
        "APPROACH 1: String-Based Hooks (REST API)",
        "Define hooks as strings for REST API requests"
    )
    # Define hooks as strings
    hooks_config = {
        "on_page_context_created": """
 async def hook(page, context, **kwargs):
-    print("  [String Hook] Setting up page context...")
+    # Hook called after a new page and context are created
-    # Block images for performance
+    print("[HOOK] on_page_context_created - New page created!")
-    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    
    # Set viewport size for consistent rendering
    await page.set_viewport_size({"width": 1920, "height": 1080})
    # Add cookies for the session (using httpbin.org domain)
    await context.add_cookies([
        {
            "name": "test_session",
            "value": "abc123xyz",
            "domain": ".httpbin.org",
            "path": "/",
            "httpOnly": True,
            "secure": True
        }
    ])
    # Block ads and tracking scripts to speed up crawling
    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
    await context.route("**/analytics/*", lambda route: route.abort())
    await context.route("**/ads/*", lambda route: route.abort())
    print("[HOOK] Viewport set, cookies added, and ads blocked")
    return page
 """,
        "on_user_agent_updated": """
 async def hook(page, context, user_agent, **kwargs):
    # Hook called when user agent is updated
    print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
    return page
 """,
        "before_goto": """
 async def hook(page, context, url, **kwargs):
-    print(f"  [String Hook] Navigating to {url[:50]}...")
+    # Hook called before navigating to each URL
    print(f"[HOOK] before_goto - About to visit: {url}")
    # Add custom headers for the request
    await page.set_extra_http_headers({
-        'X-Crawl4AI': 'string-based-hooks',
+        "X-Custom-Header": "crawl4ai-test",
        "Accept-Language": "en-US,en;q=0.9",
        "DNT": "1"
    })
    return page
 """,
        "after_goto": """
 async def hook(page, context, url, response, **kwargs):
    # Hook called after navigating to each URL
    print(f"[HOOK] after_goto - Successfully loaded: {url}")
    # Wait a moment for dynamic content to load
    await page.wait_for_timeout(1000)
    # Check if specific elements exist (with error handling)
    try:
        # For httpbin.org, wait for body element
        await page.wait_for_selector("body", timeout=2000)
        print("[HOOK] Body element found and loaded")
    except:
        print("[HOOK] Timeout waiting for body, continuing anyway")
    return page
 """,
        "on_execution_started": """
 async def hook(page, context, **kwargs):
    # Hook called after custom JavaScript execution
    print("[HOOK] on_execution_started - Custom JS executed!")
    # You could inject additional JavaScript here if needed
    await page.evaluate("console.log('[INJECTED] Hook JS running');")
    return page
 """,
        "before_retrieve_html": """
 async def hook(page, context, **kwargs):
-    print("  [String Hook] Scrolling page...")
+    # Hook called before retrieving the HTML content
-    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    print("[HOOK] before_retrieve_html - Preparing to get HTML")
-    await page.wait_for_timeout(1000)
+    
    # Scroll to bottom to trigger lazy loading
    await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
    await page.wait_for_timeout(500)
    # Scroll back to top
    await page.evaluate("window.scrollTo(0, 0);")
    await page.wait_for_timeout(500)
    # One more scroll to middle for good measure
    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
    print("[HOOK] Scrolling completed for lazy-loaded content")
    return page
 """,
        "before_return_html": """
 async def hook(page, context, html, **kwargs):
    # Hook called before returning the HTML content
    print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
    # Log some page metrics
    metrics = await page.evaluate('''() => {
        return {
            images: document.images.length,
            links: document.links.length,
            scripts: document.scripts.length
        }
    }''')
    print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
    return page
 """
    }
-    # Prepare request payload
+    # Create request payload
    payload = {
-        "urls": [TEST_URLS[2]],  # httpbin.org
+        "urls": ["https://httpbin.org/html"],
        "hooks": {
-            "code": hooks_config,
+            "code": hooks_code,
            "timeout": 30
        },
        "crawler_config": {
            "js_code": "window.scrollTo(0, document.body.scrollHeight);",
            "wait_for": "body",
            "cache_mode": "bypass"
        }
    }
-    print(f"🎯 Target URL: {TEST_URLS[2]}")
+    print("\nSending request with all 8 hooks...")
    print(f"🔧 Configured {len(hooks_config)} string-based hooks")
    print(f"📡 Sending request to Docker API...\n")
    try:
    start_time = time.time()
-        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
+    
-        execution_time = time.time() - start_time
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
    elapsed_time = time.time() - start_time
    print(f"Request completed in {elapsed_time:.2f} seconds")
    if response.status_code == 200:
-            result = response.json()
+        data = response.json()
-
+        print("\n✅ Request successful!")
            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
            # Display results
            if result.get('results') and result['results'][0].get('success'):
                crawl_result = result['results'][0]
                html_length = len(crawl_result.get('html', ''))
                markdown_length = len(crawl_result.get('markdown', ''))
                print(f"\n📊 Results:")
                print(f"   • HTML length: {html_length:,} characters")
                print(f"   • Markdown length: {markdown_length:,} characters")
                print(f"   • URL: {crawl_result.get('url')}")
        # Check hooks execution
-                if 'hooks' in result:
+        if 'hooks' in data:
-                    hooks_info = result['hooks']
+            hooks_info = data['hooks']
-                    print(f"\n🎣 Hooks Execution:")
+            print("\n📊 Hooks Execution Summary:")
-                    print(f"   • Status: {hooks_info['status']['status']}")
+            print(f"  Status: {hooks_info['status']['status']}")
-                    print(f"   • Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
+            print(f"  Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
            for hook_name in hooks_info['status']['attached_hooks']:
                print(f"    ✓ {hook_name}")
            if 'summary' in hooks_info:
                summary = hooks_info['summary']
-                        print(f"   • Total executions: {summary['total_executions']}")
+                print(f"\n📈 Execution Statistics:")
-                        print(f"   • Successful: {summary['successful']}")
+                print(f"  Total executions: {summary['total_executions']}")
-                        print(f"   • Success rate: {summary['success_rate']:.1f}%")
+                print(f"  Successful: {summary['successful']}")
-            else:
+                print(f"  Failed: {summary['failed']}")
-                print(f"⚠️ Crawl completed but no results")
+                print(f"  Timed out: {summary['timed_out']}")
                print(f"  Success rate: {summary['success_rate']:.1f}%")
            if hooks_info.get('execution_log'):
                print(f"\n📝 Execution Log:")
                for log_entry in hooks_info['execution_log']:
                    status_icon = "✅" if log_entry['status'] == 'success' else "❌"
                    exec_time = log_entry.get('execution_time', 0)
                    print(f"  {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
        # Check crawl results
        if 'results' in data and len(data['results']) > 0:
            print(f"\n📄 Crawl Results:")
            for result in data['results']:
                print(f"  URL: {result['url']}")
                print(f"  Success: {result.get('success', False)}")
                if result.get('html'):
                    print(f"  HTML length: {len(result['html'])} characters")
    else:
-            print(f"❌ Request failed with status {response.status_code}")
+        print(f"❌ Error: {response.status_code}")
            print(f"   Error: {response.text[:200]}")
    except requests.exceptions.Timeout:
        print("⏰ Request timed out after 60 seconds")
    except Exception as e:
        print(f"❌ Error: {str(e)}")
    print("\n" + "─" * 70)
    print("✓ String-based hooks example complete\n")
 # ============================================================================
 # APPROACH 2: Function-Based Hooks with hooks_to_string() Utility
 # ============================================================================
 def example_2_hooks_to_string_utility():
    """
    Demonstrate the hooks_to_string() utility for converting functions
    Use this when you want to write hooks as functions but use REST API
    """
    print_section(
        "APPROACH 2: hooks_to_string() Utility",
        "Convert Python functions to strings for REST API"
    )
    print("📦 Creating hook functions...")
    print("   • performance_optimization_hook")
    print("   • authentication_headers_hook")
    print("   • lazy_loading_handler_hook")
    # Convert function objects to strings using the utility
    print("\n🔄 Converting functions to strings with hooks_to_string()...")
    hooks_dict = {
        "on_page_context_created": performance_optimization_hook,
        "before_goto": authentication_headers_hook,
        "before_retrieve_html": lazy_loading_handler_hook,
    }
    hooks_as_strings = hooks_to_string(hooks_dict)
    print(f"✅ Successfully converted {len(hooks_as_strings)} functions to strings")
    # Show a preview
    print("\n📝 Sample converted hook (first 200 characters):")
    print("─" * 70)
    sample_hook = list(hooks_as_strings.values())[0]
    print(sample_hook[:200] + "...")
    print("─" * 70)
    # Use the converted hooks with REST API
    print("\n📡 Using converted hooks with REST API...")
    payload = {
        "urls": [TEST_URLS[2]],
        "hooks": {
            "code": hooks_as_strings,
            "timeout": 30
        }
    }
        try:
-        start_time = time.time()
+            error_data = response.json()
-        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
+            print(f"Error details: {json.dumps(error_data, indent=2)}")
-        execution_time = time.time() - start_time
+        except:
-
+            print(f"Error text: {response.text[:500]}")
        if response.status_code == 200:
            result = response.json()
            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
            if result.get('results') and result['results'][0].get('success'):
                crawl_result = result['results'][0]
                print(f"   • HTML length: {len(crawl_result.get('html', '')):,} characters")
                print(f"   • Hooks executed successfully!")
        else:
            print(f"❌ Request failed: {response.status_code}")
    except Exception as e:
        print(f"❌ Error: {str(e)}")
    print("\n💡 Benefits of hooks_to_string():")
    print("   ✓ Write hooks as regular Python functions")
    print("   ✓ Full IDE support (autocomplete, syntax highlighting)")
    print("   ✓ Type checking and linting")
    print("   ✓ Easy to test and debug")
    print("   ✓ Reusable across projects")
    print("   ✓ Works with any REST API client")
    print("\n" + "─" * 70)
    print("✓ hooks_to_string() utility example complete\n")
-# ============================================================================
+def test_authentication_flow():
-# APPROACH 3: Docker Client with Automatic Conversion (RECOMMENDED)
+    """Test a complete authentication flow with multiple hooks"""
-# ============================================================================
+    print("\n" + "=" * 70)
-
+    print("Testing: Authentication Flow with Multiple Hooks")
-async def example_3_docker_client_auto_conversion():
+    print("=" * 70)
    """
    Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
    Use this for the best developer experience with Python
    """
    print_section(
        "APPROACH 3: Docker Client with Auto-Conversion (RECOMMENDED)",
        "Pass function objects directly - conversion happens automatically!"
    )
    print("🐳 Initializing Crawl4AI Docker Client...")
    client = Crawl4aiDockerClient(base_url=DOCKER_URL)
    print("✅ Client ready!\n")
    # Use our reusable hook library - just pass the function objects!
    print("📚 Using reusable hook library:")
    print("   • performance_optimization_hook")
    print("   • authentication_headers_hook")
    print("   • lazy_loading_handler_hook")
    print("   • page_analytics_hook")
    print("\n🎯 Target URL: " + TEST_URLS[0])
    print("🚀 Starting crawl with automatic hook conversion...\n")
    try:
        start_time = time.time()
        # Pass function objects directly - NO manual conversion needed! ✨
        results = await client.crawl(
            urls=[TEST_URLS[0]],
            hooks={
                "on_page_context_created": performance_optimization_hook,
                "before_goto": authentication_headers_hook,
                "before_retrieve_html": lazy_loading_handler_hook,
                "before_return_html": page_analytics_hook,
            },
            hooks_timeout=30
        )
        execution_time = time.time() - start_time
        print(f"\n✅ Crawl completed! (took {execution_time:.2f}s)\n")
        # Display results
        if results and results.success:
            result = results
            print(f"📊 Results:")
            print(f"   • URL: {result.url}")
            print(f"   • Success: {result.success}")
            print(f"   • HTML length: {len(result.html):,} characters")
            print(f"   • Markdown length: {len(result.markdown):,} characters")
            # Show metadata
            if result.metadata:
                print(f"\n📋 Metadata:")
                print(f"   • Title: {result.metadata.get('title', 'N/A')[:50]}...")
            # Show links
            if result.links:
                internal_count = len(result.links.get('internal', []))
                external_count = len(result.links.get('external', []))
                print(f"\n🔗 Links Found:")
                print(f"   • Internal: {internal_count}")
                print(f"   • External: {external_count}")
        else:
            print(f"⚠️ Crawl completed but no successful results")
            if results:
                print(f"   Error: {results.error_message}")
    except Exception as e:
        print(f"❌ Error: {str(e)}")
        import traceback
        traceback.print_exc()
    print("\n🌟 Why Docker Client is RECOMMENDED:")
    print("   ✓ Automatic function-to-string conversion")
    print("   ✓ No manual hooks_to_string() calls needed")
    print("   ✓ Cleaner, more Pythonic code")
    print("   ✓ Full type hints and IDE support")
    print("   ✓ Built-in error handling")
    print("   ✓ Async/await support")
    print("\n" + "─" * 70)
    print("✓ Docker Client auto-conversion example complete\n")
 # ============================================================================
 # APPROACH 4: Authentication Example
 # ============================================================================
 def example_4_authentication_flow():
    """
    Demonstrate authentication flow with multiple hooks
    """
    print_section(
        "EXAMPLE 4: Authentication Flow",
        "Using hooks for authentication with cookies and headers"
    )
    hooks_code = {
        "on_page_context_created": """
@@ -458,6 +242,12 @@ async def hook(page, context, **kwargs):
        }
    ])
    # Set localStorage items (for SPA authentication)
    await page.evaluate('''
        localStorage.setItem('user_id', '12345');
        localStorage.setItem('auth_time', new Date().toISOString());
    ''')
    return page
 """,
@@ -479,7 +269,9 @@ async def hook(page, context, url, **kwargs):
    }
    payload = {
-        "urls": ["https://httpbin.org/basic-auth/user/passwd"],
+        "urls": [
            "https://httpbin.org/basic-auth/user/passwd"
        ],
        "hooks": {
            "code": hooks_code,
            "timeout": 15
@@ -487,7 +279,7 @@ async def hook(page, context, url, **kwargs):
    }
    print("\nTesting authentication with httpbin endpoints...")
-    response = requests.post(f"{DOCKER_URL}/crawl", json=payload)
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
    if response.status_code == 200:
        data = response.json()
@@ -508,120 +300,214 @@ async def hook(page, context, url, **kwargs):
    else:
        print(f"❌ Error: {response.status_code}")
    print("\n" + "─" * 70)
    print("✓ Authentication example complete\n")
-
+def test_performance_optimization_hooks():
-# ============================================================================
+    """Test hooks for performance optimization"""
 # MAIN EXECUTION
 # ============================================================================
 async def main():
    """
    Run all example demonstrations
    """
    print("\n" + "=" * 70)
-    print("  🚀 Crawl4AI - Docker Hooks System Examples")
+    print("Testing: Performance Optimization Hooks")
    print("=" * 70)
-    # Check Docker service
+    hooks_code = {
-    print("\n🔍 Checking Docker service status...")
+        "on_page_context_created": """
-    if not check_docker_service():
+async def hook(page, context, **kwargs):
-        print("❌ Docker service is not running!")
+    print("[HOOK] Optimizing page for performance")
        print("\n📋 To start the Docker service:")
        print("   docker run -p 11235:11235 unclecode/crawl4ai:latest")
        print("\nPlease start the service and run this example again.")
        return
-    print("✅ Docker service is running!\n")
+    # Block resource-heavy content
    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
    await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
    await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
    await context.route("**/googletagmanager.com/*", lambda route: route.abort())
    await context.route("**/google-analytics.com/*", lambda route: route.abort())
    await context.route("**/doubleclick.net/*", lambda route: route.abort())
    await context.route("**/facebook.com/*", lambda route: route.abort())
-    # Run all examples
+    # Disable animations and transitions
-    examples = [
+    await page.add_style_tag(content='''
-        ("String-Based Hooks (REST API)", example_1_string_based_hooks, False),
+        *, *::before, *::after {
-        ("hooks_to_string() Utility", example_2_hooks_to_string_utility, False),
+            animation-duration: 0s !important;
-        ("Docker Client Auto-Conversion (Recommended)", example_3_docker_client_auto_conversion, True),
+            animation-delay: 0s !important;
-        ("Authentication Flow", example_4_authentication_flow, False),
+            transition-duration: 0s !important;
            transition-delay: 0s !important;
        }
    ''')
    print("[HOOK] Performance optimizations applied")
    return page
 """,
        "before_retrieve_html": """
 async def hook(page, context, **kwargs):
    print("[HOOK] Removing unnecessary elements before extraction")
    # Remove ads, popups, and other unnecessary elements
    await page.evaluate('''() => {
        // Remove common ad containers
        const adSelectors = [
            '.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
            '.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
        ];
        adSelectors.forEach(selector => {
            document.querySelectorAll(selector).forEach(el => el.remove());
        });
        // Remove script tags to clean up HTML
        document.querySelectorAll('script').forEach(el => el.remove());
        // Remove style tags we don't need
        document.querySelectorAll('style').forEach(el => el.remove());
    }''')
    return page
 """
    }
    payload = {
        "urls": ["https://httpbin.org/html"],
        "hooks": {
            "code": hooks_code,
            "timeout": 10
        }
    }
    print("\nTesting performance optimization hooks...")
    start_time = time.time()
    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
    elapsed_time = time.time() - start_time
    print(f"Request completed in {elapsed_time:.2f} seconds")
    if response.status_code == 200:
        data = response.json()
        print("✅ Performance optimization test completed")
        if 'results' in data and len(data['results']) > 0:
            result = data['results'][0]
            if result.get('html'):
                print(f"  HTML size: {len(result['html'])} characters")
                print("  Resources blocked, ads removed, animations disabled")
    else:
        print(f"❌ Error: {response.status_code}")
 def test_content_extraction_hooks():
    """Test hooks for intelligent content extraction"""
    print("\n" + "=" * 70)
    print("Testing: Content Extraction Hooks")
    print("=" * 70)
    hooks_code = {
        "after_goto": """
 async def hook(page, context, url, response, **kwargs):
    print(f"[HOOK] Waiting for dynamic content on {url}")
    # Wait for any lazy-loaded content
    await page.wait_for_timeout(2000)
    # Trigger any "Load More" buttons
    try:
        load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
        if load_more:
            await load_more.click()
            await page.wait_for_timeout(1000)
            print("[HOOK] Clicked 'Load More' button")
    except:
        pass
    return page
 """,
        "before_retrieve_html": """
 async def hook(page, context, **kwargs):
    print("[HOOK] Extracting structured data")
    # Extract metadata
    metadata = await page.evaluate('''() => {
        const getMeta = (name) => {
            const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
            return element ? element.getAttribute('content') : null;
        };
        return {
            title: document.title,
            description: getMeta('description') || getMeta('og:description'),
            author: getMeta('author'),
            keywords: getMeta('keywords'),
            ogTitle: getMeta('og:title'),
            ogImage: getMeta('og:image'),
            canonical: document.querySelector('link[rel="canonical"]')?.href,
            jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
                .map(el => el.textContent).filter(Boolean)
        };
    }''')
    print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
    # Infinite scroll handling
    for i in range(3):
        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
        await page.wait_for_timeout(1000)
        print(f"[HOOK] Scroll iteration {i+1}/3")
    return page
 """
    }
    payload = {
        "urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
        "hooks": {
            "code": hooks_code,
            "timeout": 20
        }
    }
    print("\nTesting content extraction hooks...")
    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
    if response.status_code == 200:
        data = response.json()
        print("✅ Content extraction test completed")
        if 'hooks' in data and 'summary' in data['hooks']:
            summary = data['hooks']['summary']
            print(f"  Hooks executed: {summary['successful']}/{summary['total_executions']}")
        if 'results' in data:
            for result in data['results']:
                print(f"\n  URL: {result['url']}")
                print(f"  Success: {result.get('success', False)}")
    else:
        print(f"❌ Error: {response.status_code}")
 def main():
    """Run comprehensive hook tests"""
    print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
    print("Based on docs/examples/hooks_example.py")
    print("=" * 70)
    tests = [
        ("All Hooks Demo", test_all_hooks_demo),
        ("Authentication Flow", test_authentication_flow),
        ("Performance Optimization", test_performance_optimization_hooks),
        ("Content Extraction", test_content_extraction_hooks),
    ]
-    for i, (name, example_func, is_async) in enumerate(examples, 1):
+    for i, (name, test_func) in enumerate(tests, 1):
-        print(f"\n{'🔷' * 35}")
+        print(f"\n📌 Test {i}/{len(tests)}: {name}")
        print(f"Example {i}/{len(examples)}: {name}")
        print(f"{'🔷' * 35}\n")
        try:
-            if is_async:
+            test_func()
-                await example_func()
+            print(f"✅ {name} completed")
            else:
                example_func()
            print(f"✅ Example {i} completed successfully!")
            # Pause between examples (except the last one)
            if i < len(examples):
                print("\n⏸️  Press Enter to continue to next example...")
                input()
        except KeyboardInterrupt:
            print(f"\n⏹️  Examples interrupted by user")
            break
        except Exception as e:
-            print(f"\n❌ Example {i} failed: {str(e)}")
+            print(f"❌ {name} failed: {e}")
            import traceback
            traceback.print_exc()
            print("\nContinuing to next example...\n")
            continue
    # Final summary
    print("\n" + "=" * 70)
-    print("  🎉 All Examples Complete!")
+    print("🎉 All comprehensive hook tests completed!")
    print("=" * 70)
    print("\n📊 Summary - Three Approaches to Docker Hooks:")
    print("\n✨ 1. String-Based Hooks:")
    print("   • Write hooks as strings directly in JSON")
    print("   • Best for: REST API, non-Python clients, simple use cases")
    print("   • Cons: No IDE support, harder to debug")
    print("\n✨ 2. hooks_to_string() Utility:")
    print("   • Write hooks as Python functions, convert to strings")
    print("   • Best for: Python with REST API, reusable hook libraries")
    print("   • Pros: IDE support, type checking, easy debugging")
    print("\n✨ 3. Docker Client (RECOMMENDED):")
    print("   • Pass function objects directly, automatic conversion")
    print("   • Best for: Python applications, best developer experience")
    print("   • Pros: All benefits of #2 + cleaner code, no manual conversion")
    print("\n💡 Recommendation:")
    print("   Use Docker Client (#3) for Python applications")
    print("   Use hooks_to_string() (#2) when you need REST API flexibility")
    print("   Use string-based (#1) for non-Python clients or simple scripts")
    print("\n🎯 8 Hook Points Available:")
    print("   • on_browser_created, on_page_context_created")
    print("   • on_user_agent_updated, before_goto, after_goto")
    print("   • on_execution_started, before_retrieve_html, before_return_html")
    print("\n📚 Resources:")
    print("   • Docs: https://docs.crawl4ai.com/core/docker-deployment")
    print("   • GitHub: https://github.com/unclecode/crawl4ai")
    print("   • Discord: https://discord.gg/jP8KfhDhyN")
    print("\n" + "=" * 70)
    print("  Happy Crawling! 🕷️")
    print("=" * 70 + "\n")
 if __name__ == "__main__":
-    print("\n🎬 Starting Crawl4AI Docker Hooks Examples...")
+    main()
    print("Press Ctrl+C anytime to exit\n")
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\n\n👋 Examples stopped by user. Thanks for exploring Crawl4AI!")
    except Exception as e:
        print(f"\n\n❌ Error: {str(e)}")
        import traceback
        traceback.print_exc()
--- a/docs/md_v2/advanced/identity-based-crawling.md
+++ b/docs/md_v2/advanced/identity-based-crawling.md
@@ -82,42 +82,6 @@ If you installed Crawl4AI (which installs Playwright under the hood), you alread
 ---
 ### Creating a Profile Using the Crawl4AI CLI (Easiest)
 If you prefer a guided, interactive setup, use the built-in CLI to create and manage persistent browser profiles.
 1.⠀Launch the profile manager:
   ```bash
   crwl profiles
   ```
 2.⠀Choose "Create new profile" and enter a profile name. A Chromium window opens so you can log in to sites and configure settings. When finished, return to the terminal and press `q` to save the profile.
 3.⠀Profiles are saved under `~/.crawl4ai/profiles/<profile_name>` (for example: `/home/<you>/.crawl4ai/profiles/test_profile_1`) along with a `storage_state.json` for cookies and session data.
 4.⠀Optionally, choose "List profiles" in the CLI to view available profiles and their paths.
 5.⠀Use the saved path with `BrowserConfig.user_data_dir`:
   ```python
   from crawl4ai import AsyncWebCrawler, BrowserConfig
   profile_path = "/home/<you>/.crawl4ai/profiles/test_profile_1"
   browser_config = BrowserConfig(
       headless=True,
       use_managed_browser=True,
       user_data_dir=profile_path,
       browser_type="chromium",
   )
   async with AsyncWebCrawler(config=browser_config) as crawler:
       result = await crawler.arun(url="https://example.com/private")
   ```
 The CLI also supports listing and deleting profiles, and even testing a crawl directly from the menu.
 ---
 ## 3. Using Managed Browsers in Crawl4AI
 Once you have a data directory with your session data, pass it to **`BrowserConfig`**:
--- a/docs/md_v2/advanced/proxy-security.md
+++ b/docs/md_v2/advanced/proxy-security.md
@@ -1,304 +1,98 @@
-# Proxy & Security
+# Proxy 
 This guide covers proxy configuration and security features in Crawl4AI, including SSL certificate analysis and proxy rotation strategies.
 ## Understanding Proxy Configuration
 Crawl4AI recommends configuring proxies per request through `CrawlerRunConfig.proxy_config`. This gives you precise control, enables rotation strategies, and keeps examples simple enough to copy, paste, and run.
 ## Basic Proxy Setup
-Configure proxies that apply to each crawl operation:
+Simple proxy configuration with `BrowserConfig`:
 ```python
-import asyncio
+from crawl4ai.async_configs import BrowserConfig
 from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, ProxyConfig
-run_config = CrawlerRunConfig(proxy_config=ProxyConfig(server="http://proxy.example.com:8080"))
+# Using HTTP proxy
-# run_config = CrawlerRunConfig(proxy_config={"server": "http://proxy.example.com:8080"})
+browser_config = BrowserConfig(proxy_config={"server": "http://proxy.example.com:8080"})
 # run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
 async def main():
    browser_config = BrowserConfig()
 async with AsyncWebCrawler(config=browser_config) as crawler:
-        result = await crawler.arun(url="https://example.com", config=run_config)
+    result = await crawler.arun(url="https://example.com")
        print(f"Success: {result.success} -> {result.url}")
-
+# Using SOCKS proxy
-if __name__ == "__main__":
+browser_config = BrowserConfig(proxy_config={"server": "socks5://proxy.example.com:1080"})
    asyncio.run(main())
 ```
 !!! note "Why request-level?"
    `CrawlerRunConfig.proxy_config` keeps each request self-contained, so swapping proxies or rotation strategies is just a matter of building a new run configuration.
 ## Supported Proxy Formats
 The `ProxyConfig.from_string()` method supports multiple formats:
 ```python
 from crawl4ai import ProxyConfig
 # HTTP proxy with authentication
 proxy1 = ProxyConfig.from_string("http://user:pass@192.168.1.1:8080")
 # HTTPS proxy
 proxy2 = ProxyConfig.from_string("https://proxy.example.com:8080")
 # SOCKS5 proxy
 proxy3 = ProxyConfig.from_string("socks5://proxy.example.com:1080")
 # Simple IP:port format
 proxy4 = ProxyConfig.from_string("192.168.1.1:8080")
 # IP:port:user:pass format
 proxy5 = ProxyConfig.from_string("192.168.1.1:8080:user:pass")
 ```
 ## Authenticated Proxies
 For proxies requiring authentication:
 ```python
 import asyncio
 from crawl4ai import AsyncWebCrawler,BrowserConfig, CrawlerRunConfig, ProxyConfig
 run_config = CrawlerRunConfig(
    proxy_config=ProxyConfig(
        server="http://proxy.example.com:8080",
        username="your_username",
        password="your_password",
    )
 )
 # Or dictionary style:
 # run_config = CrawlerRunConfig(proxy_config={
 #     "server": "http://proxy.example.com:8080",
 #     "username": "your_username",
 #     "password": "your_password",
 # })
 async def main():
    browser_config = BrowserConfig()
 async with AsyncWebCrawler(config=browser_config) as crawler:
-        result = await crawler.arun(url="https://example.com", config=run_config)
+    result = await crawler.arun(url="https://example.com")
        print(f"Success: {result.success} -> {result.url}")
 if __name__ == "__main__":
    asyncio.run(main())
 ```
-## Environment Variable Configuration
+## Authenticated Proxy
-Load proxies from environment variables for easy configuration:
+Use an authenticated proxy with `BrowserConfig`:
 ```python
-import os
+from crawl4ai.async_configs import BrowserConfig
 from crawl4ai import ProxyConfig, CrawlerRunConfig
-# Set environment variable
+browser_config = BrowserConfig(proxy_config={
-os.environ["PROXIES"] = "ip1:port1:user1:pass1,ip2:port2:user2:pass2,ip3:port3"
+    "server": "http://[host]:[port]",
-
+    "username": "[username]",
-# Load all proxies
+    "password": "[password]",
-proxies = ProxyConfig.from_env()
+})
-print(f"Loaded {len(proxies)} proxies")
+async with AsyncWebCrawler(config=browser_config) as crawler:
-
+    result = await crawler.arun(url="https://example.com")
 # Use first proxy
 if proxies:
    run_config = CrawlerRunConfig(proxy_config=proxies[0])
 ```
 ## Rotating Proxies 
-Crawl4AI supports automatic proxy rotation to distribute requests across multiple proxy servers. Rotation is applied per request using a rotation strategy on `CrawlerRunConfig`.
+Example using a proxy rotation service dynamically:
 ### Proxy Rotation (recommended)
 ```python
 import asyncio
 import re
-from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, ProxyConfig
+from crawl4ai import (
-from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
+    AsyncWebCrawler,
-
+    BrowserConfig,
    CrawlerRunConfig,
    CacheMode,
    RoundRobinProxyStrategy,
 )
 import asyncio
 from crawl4ai import ProxyConfig
 async def main():
-    # Load proxies from environment
+    # Load proxies and create rotation strategy
    proxies = ProxyConfig.from_env()
    #eg: export PROXIES="ip1:port1:username1:password1,ip2:port2:username2:password2"
    if not proxies:
-        print("No proxies found! Set PROXIES environment variable.")
+        print("No proxies found in environment. Set PROXIES env variable!")
        return
    # Create rotation strategy
    proxy_strategy = RoundRobinProxyStrategy(proxies)
-    # Configure per-request with proxy rotation
+    # Create configs
    browser_config = BrowserConfig(headless=True, verbose=False)
    run_config = CrawlerRunConfig(
        cache_mode=CacheMode.BYPASS,
-        proxy_rotation_strategy=proxy_strategy,
+        proxy_rotation_strategy=proxy_strategy
    )
    async with AsyncWebCrawler(config=browser_config) as crawler:
        urls = ["https://httpbin.org/ip"] * (len(proxies) * 2)  # Test each proxy twice
-        print(f"🚀 Testing {len(proxies)} proxies with rotation...")
+        print("\n📈 Initializing crawler with proxy rotation...")
        results = await crawler.arun_many(urls=urls, config=run_config)
        for i, result in enumerate(results):
            if result.success:
                # Extract IP from response
                ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
                if ip_match:
                    detected_ip = ip_match.group(0)
                    proxy_index = i % len(proxies)
                    expected_ip = proxies[proxy_index].ip
                    print(f"✅ Request {i+1}: Proxy {proxy_index+1} -> IP {detected_ip}")
                    if detected_ip == expected_ip:
                        print("   🎯 IP matches proxy configuration")
                    else:
                        print(f"   ⚠️  IP mismatch (expected {expected_ip})")
                else:
                    print(f"❌ Request {i+1}: Could not extract IP from response")
            else:
                print(f"❌ Request {i+1}: Failed - {result.error_message}")
 if __name__ == "__main__":
    asyncio.run(main())
 ```
 ## SSL Certificate Analysis
 Combine proxy usage with SSL certificate inspection for enhanced security analysis. SSL certificate fetching is configured per request via `CrawlerRunConfig`.
 ### Per-Request SSL Certificate Analysis
 ```python
 import asyncio
 from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
 run_config = CrawlerRunConfig(
    proxy_config={
        "server": "http://proxy.example.com:8080",
        "username": "user",
        "password": "pass",
    },
    fetch_ssl_certificate=True,  # Enable SSL certificate analysis for this request
 )
 async def main():
    browser_config = BrowserConfig()
        async with AsyncWebCrawler(config=browser_config) as crawler:
-        result = await crawler.arun(url="https://example.com", config=run_config)
+            print("\n🚀 Starting batch crawl with proxy rotation...")
-
+            results = await crawler.arun_many(
                urls=urls,
                config=run_config
            )
            for result in results:
                if result.success:
-            print(f"✅ Crawled via proxy: {result.url}")
+                    ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
                    current_proxy = run_config.proxy_config if run_config.proxy_config else None
-            # Analyze SSL certificate
+                    if current_proxy and ip_match:
-            if result.ssl_certificate:
+                        print(f"URL {result.url}")
-                cert = result.ssl_certificate
+                        print(f"Proxy {current_proxy.server} -> Response IP: {ip_match.group(0)}")
-                print("🔒 SSL Certificate Info:")
+                        verified = ip_match.group(0) == current_proxy.ip
-                print(f"   Issuer: {cert.issuer}")
+                        if verified:
-                print(f"   Subject: {cert.subject}")
+                            print(f"✅ Proxy working! IP matches: {current_proxy.ip}")
                print(f"   Valid until: {cert.valid_until}")
                print(f"   Fingerprint: {cert.fingerprint}")
                # Export certificate
                cert.to_json("certificate.json")
                print("💾 Certificate exported to certificate.json")
                        else:
-                print("⚠️  No SSL certificate information available")
+                            print("❌ Proxy failed or IP mismatch!")
                    print("---")
 if __name__ == "__main__":
 asyncio.run(main())
 ```
 ## Security Best Practices
 ### 1. Proxy Rotation for Anonymity
 ```python
 from crawl4ai import CrawlerRunConfig, ProxyConfig
 from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
 # Use multiple proxies to avoid IP blocking
 proxies = ProxyConfig.from_env("PROXIES")
 strategy = RoundRobinProxyStrategy(proxies)
 # Configure rotation per request (recommended)
 run_config = CrawlerRunConfig(proxy_rotation_strategy=strategy)
 # For a fixed proxy across all requests, just reuse the same run_config instance
 static_run_config = run_config
 ```
 ### 2. SSL Certificate Verification
 ```python
 from crawl4ai import CrawlerRunConfig
 # Always verify SSL certificates when possible
 # Per-request (affects specific requests)
 run_config = CrawlerRunConfig(fetch_ssl_certificate=True)
 ```
 ### 3. Environment Variable Security
 ```bash
 # Use environment variables for sensitive proxy credentials
 # Avoid hardcoding usernames/passwords in code
 export PROXIES="ip1:port1:user1:pass1,ip2:port2:user2:pass2"
 ```
 ### 4. SOCKS5 for Enhanced Security
 ```python
 from crawl4ai import CrawlerRunConfig
 # Prefer SOCKS5 proxies for better protocol support
 run_config = CrawlerRunConfig(proxy_config="socks5://proxy.example.com:1080")
 ```
 ## Migration from Deprecated `proxy` Parameter
 !!! warning "Deprecation Notice"
    The legacy `proxy` argument on `BrowserConfig` is deprecated. Configure proxies through `CrawlerRunConfig.proxy_config` so each request fully describes its network settings.
 ```python
 # Old (deprecated) approach
 # from crawl4ai import BrowserConfig
 # browser_config = BrowserConfig(proxy="http://proxy.example.com:8080")
 # New (preferred) approach
 from crawl4ai import CrawlerRunConfig
 run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
 ```
 ### Safe Logging of Proxies
 ```python
 from crawl4ai import ProxyConfig
 def safe_proxy_repr(proxy: ProxyConfig):
    if getattr(proxy, "username", None):
        return f"{proxy.server} (auth: ****)"
    return proxy.server
 ```
 ## Troubleshooting
 ### Common Issues
 ???+ question "Proxy connection failed"
    - Verify the proxy server is reachable from your network.
    - Double-check authentication credentials.
    - Ensure the protocol matches (`http`, `https`, or `socks5`).
 ???+ question "SSL certificate errors"
    - Some proxies break SSL inspection; switch proxies if you see repeated failures.
    - Consider temporarily disabling certificate fetching to isolate the issue.
 ???+ question "Environment variables not loading"
    - Confirm `PROXIES` (or your custom env var) is set before running the script.
    - Check formatting: `ip:port:user:pass,ip:port:user:pass`.
 ???+ question "Proxy rotation not working"
    - Ensure `ProxyConfig.from_env()` actually loaded entries (`len(proxies) > 0`).
    - Attach `proxy_rotation_strategy` to `CrawlerRunConfig`.
    - Validate the proxy definitions you pass into the strategy.
--- a/docs/md_v2/apps/c4a-script/README.md
+++ b/docs/md_v2/apps/c4a-script/README.md
@@ -18,7 +18,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 2. **Install Dependencies**
   ```bash
-   pip install -r requirements.txt
+   pip install flask
   ```
 3. **Launch the Server**
@@ -28,7 +28,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
 4. **Open in Browser**
   ```
-   http://localhost:8000
+   http://localhost:8080
   ```
 **🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
@@ -325,7 +325,7 @@ Powers the recording functionality:
 ### Configuration
 ```python
 # server.py configuration
-PORT = 8000
+PORT = 8080
 DEBUG = True
 THREADED = True
 ```
@@ -343,9 +343,9 @@ THREADED = True
 **Port Already in Use**
 ```bash
 # Kill existing process
-lsof -ti:8000 | xargs kill -9
+lsof -ti:8080 | xargs kill -9
 # Or use different port
-python server.py --port 8001
+python server.py --port 8081
 ```
 **Blockly Not Loading**
--- a/docs/md_v2/apps/c4a-script/server.py
+++ b/docs/md_v2/apps/c4a-script/server.py
@@ -216,7 +216,7 @@ def get_examples():
            'name': 'Handle Cookie Banner',
            'description': 'Accept cookies and close newsletter popup',
            'script': '''# Handle cookie banner and newsletter
-GO http://127.0.0.1:8000/playground/
+GO http://127.0.0.1:8080/playground/
 WAIT `body` 2
 IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
 IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''
@@ -283,7 +283,7 @@ WAIT `.success-message` 5'''
    return jsonify(examples)
 if __name__ == '__main__':
-    port = int(os.environ.get('PORT', 8000))
+    port = int(os.environ.get('PORT', 8080))
    print(f"""
 ╔══════════════════════════════════════════════════════════╗
 ║          C4A-Script Interactive Tutorial Server          ║
--- a/docs/md_v2/core/c4a-script.md
+++ b/docs/md_v2/core/c4a-script.md
@@ -69,12 +69,12 @@ The tutorial includes a Flask-based web interface with:
 cd docs/examples/c4a_script/tutorial/
 # Install dependencies
-pip install -r requirements.txt
+pip install flask
 # Launch the tutorial server
-python server.py
+python app.py
-# Open http://localhost:8000 in your browser
+# Open http://localhost:5000 in your browser
 ```
 ## Core Concepts
@@ -111,8 +111,8 @@ CLICK `.submit-btn`
 # By attribute
 CLICK `button[type="submit"]`
-# By accessible attributes
+# By text content
-CLICK `button[aria-label="Search"][title="Search"]`
+CLICK `button:contains("Sign In")`
 # Complex selectors
 CLICK `.form-container input[name="email"]`
--- a/docs/md_v2/core/docker-deployment.md
+++ b/docs/md_v2/core/docker-deployment.md
@@ -27,14 +27,6 @@
  - [Hook Response Information](#hook-response-information)
  - [Error Handling](#error-handling)
  - [Hooks Utility: Function-Based Approach (Python)](#hooks-utility-function-based-approach-python)
 - [Job Queue & Webhook API](#job-queue-webhook-api)
  - [Why Use the Job Queue API?](#why-use-the-job-queue-api)
  - [Available Endpoints](#available-endpoints)
  - [Webhook Configuration](#webhook-configuration)
  - [Usage Examples](#usage-examples)
  - [Webhook Best Practices](#webhook-best-practices)
  - [Use Cases](#use-cases)
  - [Troubleshooting](#troubleshooting)
 - [Dockerfile Parameters](#dockerfile-parameters)
 - [Using the API](#using-the-api)
  - [Playground Interface](#playground-interface)
@@ -1118,464 +1110,6 @@ if __name__ == "__main__":
 ---
 ## Job Queue & Webhook API
 The Docker deployment includes a powerful asynchronous job queue system with webhook support for both crawling and LLM extraction tasks. Instead of waiting for long-running operations to complete, submit jobs and receive real-time notifications via webhooks when they finish.
 ### Why Use the Job Queue API?
 **Traditional Synchronous API (`/crawl`):**
 - Client waits for entire crawl to complete
 - Timeout issues with long-running crawls
 - Resource blocking during execution
 - Constant polling required for status updates
 **Asynchronous Job Queue API (`/crawl/job`, `/llm/job`):**
 - ✅ Submit job and continue immediately
 - ✅ No timeout concerns for long operations
 - ✅ Real-time webhook notifications on completion
 - ✅ Better resource utilization
 - ✅ Perfect for batch processing
 - ✅ Ideal for microservice architectures
 ### Available Endpoints
 #### 1. Crawl Job Endpoint
 ```
 POST /crawl/job
 ```
 Submit an asynchronous crawl job with optional webhook notification.
 **Request Body:**
 ```json
 {
  "urls": ["https://example.com"],
  "cache_mode": "bypass",
  "extraction_strategy": {
    "type": "JsonCssExtractionStrategy",
    "schema": {
      "title": "h1",
      "content": ".article-body"
    }
  },
  "webhook_config": {
    "webhook_url": "https://your-app.com/webhook/crawl-complete",
    "webhook_data_in_payload": true,
    "webhook_headers": {
      "X-Webhook-Secret": "your-secret-token",
      "X-Custom-Header": "value"
    }
  }
 }
 ```
 **Response:**
 ```json
 {
  "task_id": "crawl_1698765432",
  "message": "Crawl job submitted"
 }
 ```
 #### 2. LLM Extraction Job Endpoint
 ```
 POST /llm/job
 ```
 Submit an asynchronous LLM extraction job with optional webhook notification.
 **Request Body:**
 ```json
 {
  "url": "https://example.com/article",
  "q": "Extract the article title, author, publication date, and main points",
  "provider": "openai/gpt-4o-mini",
  "schema": "{\"title\": \"string\", \"author\": \"string\", \"date\": \"string\", \"points\": [\"string\"]}",
  "cache": false,
  "webhook_config": {
    "webhook_url": "https://your-app.com/webhook/llm-complete",
    "webhook_data_in_payload": true,
    "webhook_headers": {
      "X-Webhook-Secret": "your-secret-token"
    }
  }
 }
 ```
 **Response:**
 ```json
 {
  "task_id": "llm_1698765432",
  "message": "LLM job submitted"
 }
 ```
 #### 3. Job Status Endpoint
 ```
 GET /job/{task_id}
 ```
 Check the status and retrieve results of a submitted job.
 **Response (In Progress):**
 ```json
 {
  "task_id": "crawl_1698765432",
  "status": "processing",
  "message": "Job is being processed"
 }
 ```
 **Response (Completed):**
 ```json
 {
  "task_id": "crawl_1698765432",
  "status": "completed",
  "result": {
    "markdown": "# Page Title\n\nContent...",
    "extracted_content": {...},
    "links": {...}
  }
 }
 ```
 ### Webhook Configuration
 Webhooks provide real-time notifications when your jobs complete, eliminating the need for constant polling.
 #### Webhook Config Parameters
 | Parameter | Type | Required | Description |
 |-----------|------|----------|-------------|
 | `webhook_url` | string | Yes | Your HTTP(S) endpoint to receive notifications |
 | `webhook_data_in_payload` | boolean | No | Include full result data in webhook payload (default: false) |
 | `webhook_headers` | object | No | Custom headers for authentication/identification |
 #### Webhook Payload Format
 **Success Notification (Crawl Job):**
 ```json
 {
  "task_id": "crawl_1698765432",
  "task_type": "crawl",
  "status": "completed",
  "timestamp": "2025-10-22T12:30:00.000000+00:00",
  "urls": ["https://example.com"],
  "data": {
    "markdown": "# Page content...",
    "extracted_content": {...},
    "links": {...}
  }
 }
 ```
 **Success Notification (LLM Job):**
 ```json
 {
  "task_id": "llm_1698765432",
  "task_type": "llm_extraction",
  "status": "completed",
  "timestamp": "2025-10-22T12:30:00.000000+00:00",
  "urls": ["https://example.com/article"],
  "data": {
    "extracted_content": {
      "title": "Understanding Web Scraping",
      "author": "John Doe",
      "date": "2025-10-22",
      "points": ["Point 1", "Point 2"]
    }
  }
 }
 ```
 **Failure Notification:**
 ```json
 {
  "task_id": "crawl_1698765432",
  "task_type": "crawl",
  "status": "failed",
  "timestamp": "2025-10-22T12:30:00.000000+00:00",
  "urls": ["https://example.com"],
  "error": "Connection timeout after 30 seconds"
 }
 ```
 #### Webhook Delivery & Retry
 - **Delivery Method:** HTTP POST to your `webhook_url`
 - **Content-Type:** `application/json`
 - **Retry Policy:** Exponential backoff with 5 attempts
  - Attempt 1: Immediate
  - Attempt 2: 1 second delay
  - Attempt 3: 2 seconds delay
  - Attempt 4: 4 seconds delay
  - Attempt 5: 8 seconds delay
 - **Success Status Codes:** 200-299
 - **Custom Headers:** Your `webhook_headers` are included in every request
 ### Usage Examples
 #### Example 1: Python with Webhook Handler (Flask)
 ```python
 from flask import Flask, request, jsonify
 import requests
 app = Flask(__name__)
 # Webhook handler
@app.route('/webhook/crawl-complete', methods=['POST'])
 def handle_crawl_webhook():
    payload = request.json
    if payload['status'] == 'completed':
        print(f"✅ Job {payload['task_id']} completed!")
        print(f"Task type: {payload['task_type']}")
        # Access the crawl results
        if 'data' in payload:
            markdown = payload['data'].get('markdown', '')
            extracted = payload['data'].get('extracted_content', {})
            print(f"Extracted {len(markdown)} characters")
            print(f"Structured data: {extracted}")
    else:
        print(f"❌ Job {payload['task_id']} failed: {payload.get('error')}")
    return jsonify({"status": "received"}), 200
 # Submit a crawl job with webhook
 def submit_crawl_job():
    response = requests.post(
        "http://localhost:11235/crawl/job",
        json={
            "urls": ["https://example.com"],
            "extraction_strategy": {
                "type": "JsonCssExtractionStrategy",
                "schema": {
                    "name": "Example Schema",
                    "baseSelector": "body",
                    "fields": [
                        {"name": "title", "selector": "h1", "type": "text"},
                        {"name": "description", "selector": "meta[name='description']", "type": "attribute", "attribute": "content"}
                    ]
                }
            },
            "webhook_config": {
                "webhook_url": "https://your-app.com/webhook/crawl-complete",
                "webhook_data_in_payload": True,
                "webhook_headers": {
                    "X-Webhook-Secret": "your-secret-token"
                }
            }
        }
    )
    task_id = response.json()['task_id']
    print(f"Job submitted: {task_id}")
    return task_id
 if __name__ == '__main__':
    app.run(port=5000)
 ```
 #### Example 2: LLM Extraction with Webhooks
 ```python
 import requests
 def submit_llm_job_with_webhook():
    response = requests.post(
        "http://localhost:11235/llm/job",
        json={
            "url": "https://example.com/article",
            "q": "Extract the article title, author, and main points",
            "provider": "openai/gpt-4o-mini",
            "webhook_config": {
                "webhook_url": "https://your-app.com/webhook/llm-complete",
                "webhook_data_in_payload": True,
                "webhook_headers": {
                    "X-Webhook-Secret": "your-secret-token"
                }
            }
        }
    )
    task_id = response.json()['task_id']
    print(f"LLM job submitted: {task_id}")
    return task_id
 # Webhook handler for LLM jobs
@app.route('/webhook/llm-complete', methods=['POST'])
 def handle_llm_webhook():
    payload = request.json
    if payload['status'] == 'completed':
        extracted = payload['data']['extracted_content']
        print(f"✅ LLM extraction completed!")
        print(f"Results: {extracted}")
    else:
        print(f"❌ LLM extraction failed: {payload.get('error')}")
    return jsonify({"status": "received"}), 200
 ```
 #### Example 3: Without Webhooks (Polling)
 If you don't use webhooks, you can poll for results:
 ```python
 import requests
 import time
 # Submit job
 response = requests.post(
    "http://localhost:11235/crawl/job",
    json={"urls": ["https://example.com"]}
 )
 task_id = response.json()['task_id']
 # Poll for results
 while True:
    result = requests.get(f"http://localhost:11235/job/{task_id}")
    data = result.json()
    if data['status'] == 'completed':
        print("Job completed!")
        print(data['result'])
        break
    elif data['status'] == 'failed':
        print(f"Job failed: {data.get('error')}")
        break
    print("Still processing...")
    time.sleep(2)
 ```
 #### Example 4: Global Webhook Configuration
 Set a default webhook URL in your `config.yml` to avoid repeating it in every request:
 ```yaml
 # config.yml
 api:
  crawler:
    # ... other settings ...
    webhook:
      default_url: "https://your-app.com/webhook/default"
      default_headers:
        X-Webhook-Secret: "your-secret-token"
 ```
 Then submit jobs without webhook config:
 ```python
 # Uses the global webhook configuration
 response = requests.post(
    "http://localhost:11235/crawl/job",
    json={"urls": ["https://example.com"]}
 )
 ```
 ### Webhook Best Practices
 1. **Authentication:** Always use custom headers for webhook authentication
   ```json
   "webhook_headers": {
     "X-Webhook-Secret": "your-secret-token"
   }
   ```
 2. **Idempotency:** Design your webhook handler to be idempotent (safe to receive duplicate notifications)
 3. **Fast Response:** Return HTTP 200 quickly; process data asynchronously if needed
   ```python
   @app.route('/webhook', methods=['POST'])
   def webhook():
       payload = request.json
       # Queue for background processing
       queue.enqueue(process_webhook, payload)
       return jsonify({"status": "received"}), 200
   ```
 4. **Error Handling:** Handle both success and failure notifications
   ```python
   if payload['status'] == 'completed':
       # Process success
   elif payload['status'] == 'failed':
       # Log error, retry, or alert
   ```
 5. **Validation:** Verify webhook authenticity using custom headers
   ```python
   secret = request.headers.get('X-Webhook-Secret')
   if secret != os.environ['EXPECTED_SECRET']:
       return jsonify({"error": "Unauthorized"}), 401
   ```
 6. **Logging:** Log webhook deliveries for debugging
   ```python
   logger.info(f"Webhook received: {payload['task_id']} - {payload['status']}")
   ```
 ### Use Cases
 **1. Batch Processing**
 Submit hundreds of URLs and get notified as each completes:
 ```python
 urls = ["https://site1.com", "https://site2.com", ...]
 for url in urls:
    submit_crawl_job(url, webhook_url="https://app.com/webhook")
 ```
 **2. Microservice Integration**
 Integrate with event-driven architectures:
 ```python
 # Service A submits job
 task_id = submit_crawl_job(url)
 # Service B receives webhook and triggers next step
@app.route('/webhook')
 def webhook():
    process_result(request.json)
    trigger_next_service()
    return "OK", 200
 ```
 **3. Long-Running Extractions**
 Handle complex LLM extractions without timeouts:
 ```python
 submit_llm_job(
    url="https://long-article.com",
    q="Comprehensive summary with key points and analysis",
    webhook_url="https://app.com/webhook/llm"
 )
 ```
 ### Troubleshooting
 **Webhook not receiving notifications?**
 - Check your webhook URL is publicly accessible
 - Verify firewall/security group settings
 - Use webhook testing tools like webhook.site for debugging
 - Check server logs for delivery attempts
 - Ensure your handler returns 200-299 status code
 **Job stuck in processing?**
 - Check Redis connection: `docker logs <container_name> | grep redis`
 - Verify worker processes: `docker exec <container_name> ps aux | grep worker`
 - Check server logs: `docker logs <container_name>`
 **Need to cancel a job?**
 Jobs are processed asynchronously. If you need to cancel:
 - Delete the task from Redis (requires Redis CLI access)
 - Or implement a cancellation endpoint in your webhook handler
 ---
 ## Dockerfile Parameters
 You can customize the image build process using build arguments (`--build-arg`). These are typically used via `docker buildx build` or within the `docker-compose.yml` file.
--- a/docs/md_v2/index.md
+++ b/docs/md_v2/index.md
@@ -57,7 +57,7 @@
 Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for large language models, AI agents, and data pipelines. Fully open source, flexible, and built for real-time performance, **Crawl4AI** empowers developers with unmatched speed, precision, and deployment ease.
-> Enjoy using Crawl4AI? Consider **[becoming a sponsor](https://github.com/sponsors/unclecode)** to support ongoing development and community growth!
+> **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
 ## 🆕 AI Assistant Skill Now Available!
--- a/docs/md_v2/marketplace/admin/admin.js
+++ b/docs/md_v2/marketplace/admin/admin.js
@@ -529,19 +529,8 @@ class AdminDashboard {
                    </label>
                </div>
                <div class="form-group full-width">
-                    <label>Long Description (Markdown - Overview tab)</label>
+                    <label>Integration Guide</label>
-                    <textarea id="form-long-description" rows="10" placeholder="Enter detailed description with markdown formatting...">${app?.long_description || ''}</textarea>
+                    <textarea id="form-integration" rows="10">${app?.integration_guide || ''}</textarea>
                    <small>Markdown support: **bold**, *italic*, [links](url), # headers, code blocks, lists</small>
                </div>
                <div class="form-group full-width">
                    <label>Integration Guide (Markdown - Integration tab)</label>
                    <textarea id="form-integration" rows="20" placeholder="Enter integration guide with installation, examples, and code snippets using markdown...">${app?.integration_guide || ''}</textarea>
                    <small>Single markdown field with installation, examples, and complete guide. Code blocks get auto copy buttons.</small>
                </div>
                <div class="form-group full-width">
                    <label>Documentation (Markdown - Documentation tab)</label>
                    <textarea id="form-documentation" rows="20" placeholder="Enter documentation with API reference, examples, and best practices using markdown...">${app?.documentation || ''}</textarea>
                    <small>Full documentation with API reference, examples, best practices, etc.</small>
                </div>
            </div>
        `;
@@ -723,9 +712,7 @@ class AdminDashboard {
            data.contact_email = document.getElementById('form-email').value;
            data.featured = document.getElementById('form-featured').checked ? 1 : 0;
            data.sponsored = document.getElementById('form-sponsored').checked ? 1 : 0;
            data.long_description = document.getElementById('form-long-description').value;
            data.integration_guide = document.getElementById('form-integration').value;
            data.documentation = document.getElementById('form-documentation').value;
        } else if (type === 'articles') {
            data.title = document.getElementById('form-title').value;
            data.slug = this.generateSlug(data.title);
--- a/docs/md_v2/marketplace/app-detail.css
+++ b/docs/md_v2/marketplace/app-detail.css
@@ -278,12 +278,12 @@
 }
 .tab-content {
-    display: none !important;
+    display: none;
    padding: 2rem;
 }
 .tab-content.active {
-    display: block !important;
+    display: block;
 }
 /* Overview Layout */
@@ -510,31 +510,6 @@
    line-height: 1.5;
 }
 /* Markdown rendered code blocks */
 .integration-content pre,
 .docs-content pre {
    background: var(--bg-dark);
    border: 1px solid var(--border-color);
    margin: 1rem 0;
    padding: 1rem;
    padding-top: 2.5rem; /* Space for copy button */
    overflow-x: auto;
    position: relative;
    max-height: none; /* Remove any height restrictions */
    height: auto; /* Allow content to expand */
 }
 .integration-content pre code,
 .docs-content pre code {
    background: transparent;
    padding: 0;
    color: var(--text-secondary);
    font-size: 0.875rem;
    line-height: 1.5;
    white-space: pre; /* Preserve whitespace and line breaks */
    display: block;
 }
 /* Feature Grid */
 .feature-grid {
    display: grid;
--- a/docs/md_v2/marketplace/app-detail.html
+++ b/docs/md_v2/marketplace/app-detail.html
@@ -73,14 +73,27 @@
                <div class="tabs">
                    <button class="tab-btn active" data-tab="overview">Overview</button>
                    <button class="tab-btn" data-tab="integration">Integration</button>
-                    <!-- <button class="tab-btn" data-tab="docs">Documentation</button>
+                    <button class="tab-btn" data-tab="docs">Documentation</button>
-                    <button class="tab-btn" data-tab="support">Support</button> -->
+                    <button class="tab-btn" data-tab="support">Support</button>
                </div>
                <section id="overview-tab" class="tab-content active">
                    <div class="overview-columns">
                        <div class="overview-main">
                            <h2>Overview</h2>
                            <div id="app-overview">Overview content goes here.</div>
                            <h3>Key Features</h3>
                            <ul id="app-features" class="features-list">
                                <li>Feature 1</li>
                                <li>Feature 2</li>
                                <li>Feature 3</li>
                            </ul>
                            <h3>Use Cases</h3>
                            <div id="app-use-cases" class="use-cases">
                                <p>Describe how this app can help your workflow.</p>
                            </div>
                        </div>
                        <aside class="sidebar">
@@ -129,16 +142,37 @@
                </section>
                <section id="integration-tab" class="tab-content">
-                    <div class="integration-content" id="app-integration">
+                    <div class="integration-content">
                        <h2>Integration Guide</h2>
                        <h3>Installation</h3>
                        <div class="code-block">
                            <pre><code id="install-code"># Installation instructions will appear here</code></pre>
                        </div>
                        <h3>Basic Usage</h3>
                        <div class="code-block">
                            <pre><code id="usage-code"># Usage example will appear here</code></pre>
                        </div>
                        <h3>Complete Integration Example</h3>
                        <div class="code-block">
                            <button class="copy-btn" id="copy-integration">Copy</button>
                            <pre><code id="integration-code"># Complete integration guide will appear here</code></pre>
                        </div>
                    </div>
                </section>
-                <!-- <section id="docs-tab" class="tab-content">
+                <section id="docs-tab" class="tab-content">
-                    <div class="docs-content" id="app-docs">
+                    <div class="docs-content">
                        <h2>Documentation</h2>
                        <div id="app-docs" class="doc-sections">
                            <p>Documentation coming soon.</p>
                        </div>
-                </section> -->
+                    </div>
                </section>
-                <!-- <section id="support-tab" class="tab-content">
+                <section id="support-tab" class="tab-content">
                    <div class="docs-content">
                        <h2>Support</h2>
                        <div class="support-grid">
@@ -156,7 +190,7 @@
                            </div>
                        </div>
                    </div>
-                </section> -->
+                </section>
            </div>
        </main>
--- a/docs/md_v2/marketplace/app-detail.js
+++ b/docs/md_v2/marketplace/app-detail.js
@@ -112,7 +112,7 @@ class AppDetailPage {
        }
        // Contact
-        document.getElementById('app-contact') && (document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available');
+        document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
        // Sidebar info
        document.getElementById('sidebar-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
@@ -123,132 +123,144 @@ class AppDetailPage {
        document.getElementById('sidebar-pricing').textContent = this.appData.pricing || 'Free';
        document.getElementById('sidebar-contact').textContent = this.appData.contact_email || 'contact@example.com';
-        // Render tab contents from database fields
+        // Integration guide
-        this.renderTabContents();
+        this.renderIntegrationGuide();
    }
-    renderTabContents() {
+    renderIntegrationGuide() {
-        // Overview tab - use long_description from database
+        // Installation code
-        const overviewDiv = document.getElementById('app-overview');
+        const installCode = document.getElementById('install-code');
-        if (overviewDiv) {
+        if (installCode) {
-            if (this.appData.long_description) {
+            if (this.appData.type === 'Open Source' && this.appData.github_url) {
-                overviewDiv.innerHTML = this.renderMarkdown(this.appData.long_description);
+                installCode.textContent = `# Clone from GitHub
-            } else {
+git clone ${this.appData.github_url}
-                overviewDiv.innerHTML = `<p>${this.appData.description || 'No overview available.'}</p>`;
+
 # Install dependencies
 pip install -r requirements.txt`;
            } else if (this.appData.name.toLowerCase().includes('api')) {
                installCode.textContent = `# Install via pip
 pip install ${this.appData.slug}
 # Or install from source
 pip install git+${this.appData.github_url || 'https://github.com/example/repo'}`;
            }
        }
-        // Integration tab - use integration_guide field from database
+        // Usage code - customize based on category
-        const integrationDiv = document.getElementById('app-integration');
+        const usageCode = document.getElementById('usage-code');
-        if (integrationDiv) {
+        if (usageCode) {
-            if (this.appData.integration_guide) {
+            if (this.appData.category === 'Browser Automation') {
-                integrationDiv.innerHTML = this.renderMarkdown(this.appData.integration_guide);
+                usageCode.textContent = `from crawl4ai import AsyncWebCrawler
-                // Add copy buttons to all code blocks
+from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
-                this.addCopyButtonsToCodeBlocks(integrationDiv);
+
-            } else {
+async def main():
-                integrationDiv.innerHTML = '<p>Integration guide not yet available. Please check the official website for details.</p>';
+    # Initialize ${this.appData.name}
    automation = ${this.appData.name.replace(/\s+/g, '')}()
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://example.com",
            browser_config=automation.config,
            wait_for="css:body"
        )
        print(result.markdown)`;
        } else if (this.appData.category === 'Proxy Services') {
            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
 import ${this.appData.slug.replace(/-/g, '_')}
 # Configure proxy
 proxy_config = {
    "server": "${this.appData.website_url || 'https://proxy.example.com'}",
    "username": "your_username",
    "password": "your_password"
 }
 async with AsyncWebCrawler(proxy=proxy_config) as crawler:
    result = await crawler.arun(
        url="https://example.com",
        bypass_cache=True
    )
    print(result.status_code)`;
        } else if (this.appData.category === 'LLM Integration') {
            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
 from crawl4ai.extraction_strategy import LLMExtractionStrategy
 # Configure LLM extraction
 strategy = LLMExtractionStrategy(
    provider="${this.appData.name.toLowerCase().includes('gpt') ? 'openai' : 'anthropic'}",
    api_key="your-api-key",
    model="${this.appData.name.toLowerCase().includes('gpt') ? 'gpt-4' : 'claude-3'}",
    instruction="Extract structured data"
 )
 async with AsyncWebCrawler() as crawler:
    result = await crawler.arun(
        url="https://example.com",
        extraction_strategy=strategy
    )
    print(result.extracted_content)`;
            }
        }
-        // Documentation tab - use documentation field from database
+        // Integration example
-        const docsDiv = document.getElementById('app-docs');
+        const integrationCode = document.getElementById('integration-code');
-        if (docsDiv) {
+        if (integrationCode) {
-            if (this.appData.documentation) {
+            integrationCode.textContent = this.appData.integration_guide ||
-                docsDiv.innerHTML = this.renderMarkdown(this.appData.documentation);
+`# Complete ${this.appData.name} Integration Example
-                // Add copy buttons to all code blocks
+
-                this.addCopyButtonsToCodeBlocks(docsDiv);
+from crawl4ai import AsyncWebCrawler
-            } else {
+from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
-                docsDiv.innerHTML = '<p>Documentation coming soon.</p>';
+import json
-            }
+
-        }
+async def crawl_with_${this.appData.slug.replace(/-/g, '_')}():
    """
    Complete example showing how to use ${this.appData.name}
    with Crawl4AI for production web scraping
    """
    # Define extraction schema
    schema = {
        "name": "ProductList",
        "baseSelector": "div.product",
        "fields": [
            {"name": "title", "selector": "h2", "type": "text"},
            {"name": "price", "selector": ".price", "type": "text"},
            {"name": "image", "selector": "img", "type": "attribute", "attribute": "src"},
            {"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
        ]
    }
-    addCopyButtonsToCodeBlocks(container) {
+    # Initialize crawler with ${this.appData.name}
-        // Find all code blocks and add copy buttons
+    async with AsyncWebCrawler(
-        const codeBlocks = container.querySelectorAll('pre code');
+        browser_type="chromium",
-        codeBlocks.forEach(codeBlock => {
+        headless=True,
-            const pre = codeBlock.parentElement;
+        verbose=True
    ) as crawler:
-            // Skip if already has a copy button
+        # Crawl with extraction
-            if (pre.querySelector('.copy-btn')) return;
+        result = await crawler.arun(
            url="https://example.com/products",
            extraction_strategy=JsonCssExtractionStrategy(schema),
            cache_mode="bypass",
            wait_for="css:.product",
            screenshot=True
        )
-            // Create copy button
+        # Process results
-            const copyBtn = document.createElement('button');
+        if result.success:
-            copyBtn.className = 'copy-btn';
+            products = json.loads(result.extracted_content)
-            copyBtn.textContent = 'Copy';
+            print(f"Found {len(products)} products")
            copyBtn.onclick = () => {
                navigator.clipboard.writeText(codeBlock.textContent).then(() => {
                    copyBtn.textContent = '✓ Copied!';
                    setTimeout(() => {
                        copyBtn.textContent = 'Copy';
                    }, 2000);
                });
            };
-            // Add button to pre element
+            for product in products[:5]:
-            pre.style.position = 'relative';
+                print(f"- {product['title']}: {product['price']}")
-            pre.insertBefore(copyBtn, codeBlock);
+
-        });
+        return products
 # Run the crawler
 if __name__ == "__main__":
    import asyncio
    asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
        }
    renderMarkdown(text) {
        if (!text) return '';
        // Store code blocks temporarily to protect them from processing
        const codeBlocks = [];
        let processed = text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, lang, code) => {
            const placeholder = `___CODE_BLOCK_${codeBlocks.length}___`;
            codeBlocks.push(`<pre><code class="language-${lang || ''}">${this.escapeHtml(code)}</code></pre>`);
            return placeholder;
        });
        // Store inline code temporarily
        const inlineCodes = [];
        processed = processed.replace(/`([^`]+)`/g, (match, code) => {
            const placeholder = `___INLINE_CODE_${inlineCodes.length}___`;
            inlineCodes.push(`<code>${this.escapeHtml(code)}</code>`);
            return placeholder;
        });
        // Now process the rest of the markdown
        processed = processed
            // Headers
            .replace(/^### (.*$)/gim, '<h3>$1</h3>')
            .replace(/^## (.*$)/gim, '<h2>$1</h2>')
            .replace(/^# (.*$)/gim, '<h1>$1</h1>')
            // Bold
            .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
            // Italic
            .replace(/\*(.*?)\*/g, '<em>$1</em>')
            // Links
            .replace(/\[([^\]]+)\]\(([^)]+)\)/g, '<a href="$2" target="_blank">$1</a>')
            // Line breaks
            .replace(/\n\n/g, '</p><p>')
            .replace(/\n/g, '<br>')
            // Lists
            .replace(/^\* (.*)$/gim, '<li>$1</li>')
            .replace(/^- (.*)$/gim, '<li>$1</li>')
            // Wrap in paragraphs
            .replace(/^(?!<[h|p|pre|ul|ol|li])/gim, '<p>')
            .replace(/(?<![>])$/gim, '</p>');
        // Restore inline code
        inlineCodes.forEach((code, i) => {
            processed = processed.replace(`___INLINE_CODE_${i}___`, code);
        });
        // Restore code blocks
        codeBlocks.forEach((block, i) => {
            processed = processed.replace(`___CODE_BLOCK_${i}___`, block);
        });
        return processed;
    }
    escapeHtml(text) {
        const div = document.createElement('div');
        div.textContent = text;
        return div.innerHTML;
    }
    formatNumber(num) {
@@ -263,27 +275,45 @@ class AppDetailPage {
    setupEventListeners() {
        // Tab switching
        const tabs = document.querySelectorAll('.tab-btn');
        tabs.forEach(tab => {
            tab.addEventListener('click', () => {
-                // Update active tab button
+                // Update active tab
                tabs.forEach(t => t.classList.remove('active'));
                tab.classList.add('active');
                // Show corresponding content
                const tabName = tab.dataset.tab;
-
+                document.querySelectorAll('.tab-content').forEach(content => {
                // Hide all tab contents
                const allTabContents = document.querySelectorAll('.tab-content');
                allTabContents.forEach(content => {
                    content.classList.remove('active');
                });
                document.getElementById(`${tabName}-tab`).classList.add('active');
            });
        });
-                // Show the selected tab content
+        // Copy integration code
-                const targetTab = document.getElementById(`${tabName}-tab`);
+        document.getElementById('copy-integration').addEventListener('click', () => {
-                if (targetTab) {
+            const code = document.getElementById('integration-code').textContent;
-                    targetTab.classList.add('active');
+            navigator.clipboard.writeText(code).then(() => {
-                }
+                const btn = document.getElementById('copy-integration');
                const originalText = btn.innerHTML;
                btn.innerHTML = '<span>✓</span> Copied!';
                setTimeout(() => {
                    btn.innerHTML = originalText;
                }, 2000);
            });
        });
        // Copy code buttons
        document.querySelectorAll('.copy-btn').forEach(btn => {
            btn.addEventListener('click', (e) => {
                const codeBlock = e.target.closest('.code-block');
                const code = codeBlock.querySelector('code').textContent;
                navigator.clipboard.writeText(code).then(() => {
                    btn.textContent = 'Copied!';
                    setTimeout(() => {
                        btn.textContent = 'Copy';
                    }, 2000);
                });
            });
        });
    }
--- a/docs/md_v2/marketplace/backend/server.py
+++ b/docs/md_v2/marketplace/backend/server.py
@@ -471,17 +471,13 @@ async def delete_sponsor(sponsor_id: int):
 app.include_router(router)
 # Version info
 VERSION = "1.1.0"
 BUILD_DATE = "2025-10-26"
@app.get("/")
 async def root():
    """API info"""
    return {
        "name": "Crawl4AI Marketplace API",
-        "version": VERSION,
+        "version": "1.0.0",
        "build_date": BUILD_DATE,
        "endpoints": [
            "/marketplace/api/apps",
            "/marketplace/api/articles",
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ dependencies = [
    "rank-bm25~=0.2",
    "snowballstemmer~=2.2",
    "pydantic>=2.10",
-    "pyOpenSSL>=25.3.0",
+    "pyOpenSSL>=24.3.0",
    "psutil>=6.1.1",
    "PyYAML>=6.0",
    "nltk>=3.9.1",
--- a/requirements.txt
+++ b/requirements.txt
@@ -19,7 +19,7 @@ rank-bm25~=0.2
 colorama~=0.4
 snowballstemmer~=2.2
 pydantic>=2.10
-pyOpenSSL>=25.3.0
+pyOpenSSL>=24.3.0
 psutil>=6.1.1
 PyYAML>=6.0
 nltk>=3.9.1
--- a/tests/general/test_async_crawler_strategy.py
+++ b/tests/general/test_async_crawler_strategy.py
@@ -364,19 +364,5 @@ async def test_network_error_handling():
        async with AsyncPlaywrightCrawlerStrategy() as strategy:
            await strategy.crawl("https://invalid.example.com", config)
@pytest.mark.asyncio
 async def test_remove_overlay_elements(crawler_strategy):
    config = CrawlerRunConfig(
        remove_overlay_elements=True,
        delay_before_return_html=5,
    )
    response = await crawler_strategy.crawl(
        "https://www2.hm.com/en_us/index.html",
        config
    )
    assert response.status_code == 200
    assert "Accept all cookies" not in response.html
 if __name__ == "__main__":
    pytest.main([__file__, "-v"])
--- a/tests/test_llm_extraction_parallel_issue_1055.py
+++ b/tests/test_llm_extraction_parallel_issue_1055.py
@@ -1,220 +0,0 @@
 """
 Final verification test for Issue #1055 fix
 This test demonstrates that LLM extraction now runs in parallel
 when using arun_many with multiple URLs.
 """
 import os
 import sys
 import time
 import asyncio
 grandparent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 sys.path.append(grandparent_dir)
 from crawl4ai import (
    AsyncWebCrawler,
    BrowserConfig,
    CrawlerRunConfig,
    CacheMode,
    LLMExtractionStrategy,
    LLMConfig,
 )
 from pydantic import BaseModel
 class SimpleData(BaseModel):
    title: str
    summary: str
 def print_section(title):
    print("\n" + "=" * 80)
    print(title)
    print("=" * 80 + "\n")
 async def test_without_llm():
    """Baseline: Test crawling without LLM extraction"""
    print_section("TEST 1: Crawling WITHOUT LLM Extraction")
    config = CrawlerRunConfig(
        cache_mode=CacheMode.BYPASS,
    )
    browser_config = BrowserConfig(headless=True, verbose=False)
    urls = [
        "https://www.example.com",
        "https://www.iana.org",
        "https://www.wikipedia.org",
    ]
    print(f"Crawling {len(urls)} URLs without LLM extraction...")
    print("Expected: Fast and parallel\n")
    start_time = time.time()
    async with AsyncWebCrawler(config=browser_config) as crawler:
        results = await crawler.arun_many(urls=urls, config=config)
    duration = time.time() - start_time
    print(f"\n✅ Completed in {duration:.2f}s")
    print(f"   Successful: {sum(1 for r in results if r.success)}/{len(urls)}")
    print(f"   Average: {duration/len(urls):.2f}s per URL")
    return duration
 async def test_with_llm_before_fix():
    """Demonstrate the problem: Sequential execution with LLM"""
    print_section("TEST 2: What Issue #1055 Reported (LLM Sequential Behavior)")
    print("The issue reported that with LLM extraction, URLs would crawl")
    print("one after another instead of in parallel.")
    print("\nWithout our fix, this would show:")
    print("  - URL 1 fetches → extracts → completes")
    print("  - URL 2 fetches → extracts → completes")
    print("  - URL 3 fetches → extracts → completes")
    print("\nTotal time would be approximately sum of all individual times.")
 async def test_with_llm_after_fix():
    """Demonstrate the fix: Parallel execution with LLM"""
    print_section("TEST 3: After Fix - LLM Extraction in Parallel")
    config = CrawlerRunConfig(
        cache_mode=CacheMode.BYPASS,
        extraction_strategy=LLMExtractionStrategy(
            llm_config=LLMConfig(provider="openai/gpt-4o-mini"),
            schema=SimpleData.model_json_schema(),
            extraction_type="schema",
            instruction="Extract title and summary",
        )
    )
    browser_config = BrowserConfig(headless=True, verbose=False)
    urls = [
        "https://www.example.com",
        "https://www.iana.org",
        "https://www.wikipedia.org",
    ]
    print(f"Crawling {len(urls)} URLs WITH LLM extraction...")
    print("Expected: Parallel execution with our fix\n")
    completion_times = {}
    start_time = time.time()
    async with AsyncWebCrawler(config=browser_config) as crawler:
        results = await crawler.arun_many(urls=urls, config=config)
        for result in results:
            elapsed = time.time() - start_time
            completion_times[result.url] = elapsed
            print(f"  [{elapsed:5.2f}s] ✓ {result.url[:50]}")
    duration = time.time() - start_time
    print(f"\n✅ Total time: {duration:.2f}s")
    print(f"   Successful: {sum(1 for url in urls if url in completion_times)}/{len(urls)}")
    # Analyze parallelism
    times = list(completion_times.values())
    if len(times) >= 2:
        # If parallel, completion times should be staggered, not evenly spaced
        time_diffs = [times[i+1] - times[i] for i in range(len(times)-1)]
        avg_diff = sum(time_diffs) / len(time_diffs)
        print(f"\nParallelism Analysis:")
        print(f"   Completion time differences: {[f'{d:.2f}s' for d in time_diffs]}")
        print(f"   Average difference: {avg_diff:.2f}s")
        # In parallel mode, some tasks complete close together
        # In sequential mode, they're evenly spaced (avg ~2-3s apart)
        if avg_diff < duration / len(urls):
            print(f"   ✅ PARALLEL: Tasks completed with overlapping execution")
        else:
            print(f"   ⚠️  SEQUENTIAL: Tasks completed one after another")
    return duration
 async def test_multiple_arun_calls():
    """Test multiple individual arun() calls in parallel"""
    print_section("TEST 4: Multiple arun() Calls with asyncio.gather")
    config = CrawlerRunConfig(
        cache_mode=CacheMode.BYPASS,
        extraction_strategy=LLMExtractionStrategy(
            llm_config=LLMConfig(provider="openai/gpt-4o-mini"),
            schema=SimpleData.model_json_schema(),
            extraction_type="schema",
            instruction="Extract title and summary",
        )
    )
    browser_config = BrowserConfig(headless=True, verbose=False)
    urls = [
        "https://www.example.com",
        "https://www.iana.org",
        "https://www.wikipedia.org",
    ]
    print(f"Running {len(urls)} arun() calls with asyncio.gather()...")
    print("Expected: True parallel execution\n")
    start_time = time.time()
    async with AsyncWebCrawler(config=browser_config) as crawler:
        tasks = [crawler.arun(url, config=config) for url in urls]
        results = await asyncio.gather(*tasks)
    duration = time.time() - start_time
    print(f"\n✅ Completed in {duration:.2f}s")
    print(f"   Successful: {sum(1 for r in results if r.success)}/{len(urls)}")
    print(f"   This proves the async LLM extraction works correctly")
    return duration
 async def main():
    print("\n" + "🚀" * 40)
    print("ISSUE #1055 FIX VERIFICATION")
    print("Testing: Sequential → Parallel LLM Extraction")
    print("🚀" * 40)
    # Run tests
    await test_without_llm()
    await test_with_llm_before_fix()
    time_with_llm = await test_with_llm_after_fix()
    time_gather = await test_multiple_arun_calls()
    # Final summary
    print_section("FINAL VERDICT")
    print("✅ Fix Verified!")
    print("\nWhat changed:")
    print("  • Created aperform_completion_with_backoff() using litellm.acompletion")
    print("  • Added arun() method to ExtractionStrategy base class")
    print("  • Implemented parallel arun() in LLMExtractionStrategy")
    print("  • Updated AsyncWebCrawler to use arun() when available")
    print("\nResult:")
    print("  • LLM extraction now runs in parallel across multiple URLs")
    print("  • Backward compatible - existing strategies still work")
    print("  • No breaking changes to the API")
    print("\n✨ Issue #1055 is RESOLVED!")
    print("\n" + "=" * 80 + "\n")
 if __name__ == "__main__":
    asyncio.run(main())
--- a/tests/test_pyopenssl_security_fix.py
+++ b/tests/test_pyopenssl_security_fix.py
@@ -1,168 +0,0 @@
 """
 Lightweight test to verify pyOpenSSL security fix (Issue #1545).
 This test verifies the security requirements are met:
 1. pyOpenSSL >= 25.3.0 is installed
 2. cryptography >= 45.0.7 is installed (above vulnerable range)
 3. SSL/TLS functionality works correctly
 This test can run without full crawl4ai dependencies installed.
 """
 import sys
 from packaging import version
 def test_package_versions():
    """Test that package versions meet security requirements."""
    print("=" * 70)
    print("TEST: Package Version Security Requirements (Issue #1545)")
    print("=" * 70)
    all_passed = True
    # Test pyOpenSSL version
    try:
        import OpenSSL
        pyopenssl_version = OpenSSL.__version__
        print(f"\n✓ pyOpenSSL is installed: {pyopenssl_version}")
        if version.parse(pyopenssl_version) >= version.parse("25.3.0"):
            print(f"  ✓ PASS: pyOpenSSL {pyopenssl_version} >= 25.3.0 (required)")
        else:
            print(f"  ✗ FAIL: pyOpenSSL {pyopenssl_version} < 25.3.0 (required)")
            all_passed = False
    except ImportError as e:
        print(f"\n✗ FAIL: pyOpenSSL not installed - {e}")
        all_passed = False
    # Test cryptography version
    try:
        import cryptography
        crypto_version = cryptography.__version__
        print(f"\n✓ cryptography is installed: {crypto_version}")
        # The vulnerable range is >=37.0.0 & <43.0.1
        # We need >= 45.0.7 to be safe
        if version.parse(crypto_version) >= version.parse("45.0.7"):
            print(f"  ✓ PASS: cryptography {crypto_version} >= 45.0.7 (secure)")
            print(f"  ✓ NOT in vulnerable range (37.0.0 to 43.0.0)")
        elif version.parse(crypto_version) >= version.parse("37.0.0") and version.parse(crypto_version) < version.parse("43.0.1"):
            print(f"  ✗ FAIL: cryptography {crypto_version} is VULNERABLE")
            print(f"  ✗ Version is in vulnerable range (>=37.0.0 & <43.0.1)")
            all_passed = False
        else:
            print(f"  ⚠ WARNING: cryptography {crypto_version} < 45.0.7")
            print(f"  ⚠ May not meet security requirements")
    except ImportError as e:
        print(f"\n✗ FAIL: cryptography not installed - {e}")
        all_passed = False
    return all_passed
 def test_ssl_basic_functionality():
    """Test that SSL/TLS basic functionality works."""
    print("\n" + "=" * 70)
    print("TEST: SSL/TLS Basic Functionality")
    print("=" * 70)
    try:
        import OpenSSL.SSL
        # Create a basic SSL context to verify functionality
        context = OpenSSL.SSL.Context(OpenSSL.SSL.TLSv1_2_METHOD)
        print("\n✓ SSL Context created successfully")
        print("  ✓ PASS: SSL/TLS functionality is working")
        return True
    except Exception as e:
        print(f"\n✗ FAIL: SSL functionality test failed - {e}")
        return False
 def test_pyopenssl_crypto_integration():
    """Test that pyOpenSSL and cryptography integration works."""
    print("\n" + "=" * 70)
    print("TEST: pyOpenSSL <-> cryptography Integration")
    print("=" * 70)
    try:
        from OpenSSL import crypto
        # Generate a simple key pair to test integration
        key = crypto.PKey()
        key.generate_key(crypto.TYPE_RSA, 2048)
        print("\n✓ Generated RSA key pair successfully")
        print("  ✓ PASS: pyOpenSSL and cryptography are properly integrated")
        return True
    except Exception as e:
        print(f"\n✗ FAIL: Integration test failed - {e}")
        import traceback
        traceback.print_exc()
        return False
 def main():
    """Run all security tests."""
    print("\n")
    print("╔" + "=" * 68 + "╗")
    print("║  pyOpenSSL Security Fix Verification - Issue #1545               ║")
    print("╚" + "=" * 68 + "╝")
    print("\nVerifying that the pyOpenSSL update resolves the security vulnerability")
    print("in the cryptography package (CVE: versions >=37.0.0 & <43.0.1)\n")
    results = []
    # Test 1: Package versions
    results.append(("Package Versions", test_package_versions()))
    # Test 2: SSL functionality
    results.append(("SSL Functionality", test_ssl_basic_functionality()))
    # Test 3: Integration
    results.append(("pyOpenSSL-crypto Integration", test_pyopenssl_crypto_integration()))
    # Summary
    print("\n" + "=" * 70)
    print("TEST SUMMARY")
    print("=" * 70)
    all_passed = True
    for test_name, passed in results:
        status = "✓ PASS" if passed else "✗ FAIL"
        print(f"{status}: {test_name}")
        all_passed = all_passed and passed
    print("=" * 70)
    if all_passed:
        print("\n✓✓✓ ALL TESTS PASSED ✓✓✓")
        print("✓ Security vulnerability is resolved")
        print("✓ pyOpenSSL >= 25.3.0 is working correctly")
        print("✓ cryptography >= 45.0.7 (not vulnerable)")
        print("\nThe dependency update is safe to merge.\n")
        return True
    else:
        print("\n✗✗✗ SOME TESTS FAILED ✗✗✗")
        print("✗ Security requirements not met")
        print("\nDo NOT merge until all tests pass.\n")
        return False
 if __name__ == "__main__":
    try:
        success = main()
        sys.exit(0 if success else 1)
    except KeyboardInterrupt:
        print("\n\nTest interrupted by user")
        sys.exit(1)
    except Exception as e:
        print(f"\n✗ Unexpected error: {e}")
        import traceback
        traceback.print_exc()
        sys.exit(1)
--- a/tests/test_pyopenssl_update.py
+++ b/tests/test_pyopenssl_update.py
@@ -1,184 +0,0 @@
 """
 Test script to verify pyOpenSSL update doesn't break crawl4ai functionality.
 This test verifies:
 1. pyOpenSSL and cryptography versions are correct and secure
 2. Basic crawling functionality still works
 3. HTTPS/SSL connections work properly
 4. Stealth mode integration works (uses playwright-stealth internally)
 Issue: #1545 - Security vulnerability in cryptography package
 Fix: Updated pyOpenSSL from >=24.3.0 to >=25.3.0
 Expected: cryptography package should be >=45.0.7 (above vulnerable range)
 """
 import asyncio
 import sys
 from packaging import version
 def check_versions():
    """Verify pyOpenSSL and cryptography versions meet security requirements."""
    print("=" * 60)
    print("STEP 1: Checking Package Versions")
    print("=" * 60)
    try:
        import OpenSSL
        pyopenssl_version = OpenSSL.__version__
        print(f"✓ pyOpenSSL version: {pyopenssl_version}")
        # Check pyOpenSSL >= 25.3.0
        if version.parse(pyopenssl_version) >= version.parse("25.3.0"):
            print(f"  ✓ Version check passed: {pyopenssl_version} >= 25.3.0")
        else:
            print(f"  ✗ Version check FAILED: {pyopenssl_version} < 25.3.0")
            return False
    except ImportError as e:
        print(f"✗ Failed to import pyOpenSSL: {e}")
        return False
    try:
        import cryptography
        crypto_version = cryptography.__version__
        print(f"✓ cryptography version: {crypto_version}")
        # Check cryptography >= 45.0.7 (above vulnerable range)
        if version.parse(crypto_version) >= version.parse("45.0.7"):
            print(f"  ✓ Security check passed: {crypto_version} >= 45.0.7 (not vulnerable)")
        else:
            print(f"  ✗ Security check FAILED: {crypto_version} < 45.0.7 (potentially vulnerable)")
            return False
    except ImportError as e:
        print(f"✗ Failed to import cryptography: {e}")
        return False
    print("\n✓ All version checks passed!\n")
    return True
 async def test_basic_crawl():
    """Test basic crawling functionality with HTTPS site."""
    print("=" * 60)
    print("STEP 2: Testing Basic HTTPS Crawling")
    print("=" * 60)
    try:
        from crawl4ai import AsyncWebCrawler
        async with AsyncWebCrawler(verbose=True) as crawler:
            # Test with a simple HTTPS site (requires SSL/TLS)
            print("Crawling example.com (HTTPS)...")
            result = await crawler.arun(
                url="https://www.example.com",
                bypass_cache=True
            )
            if result.success:
                print(f"✓ Crawl successful!")
                print(f"  - Status code: {result.status_code}")
                print(f"  - Content length: {len(result.html)} bytes")
                print(f"  - SSL/TLS connection: ✓ Working")
                return True
            else:
                print(f"✗ Crawl failed: {result.error_message}")
                return False
    except Exception as e:
        print(f"✗ Test failed with error: {e}")
        import traceback
        traceback.print_exc()
        return False
 async def test_stealth_mode():
    """Test stealth mode functionality (depends on playwright-stealth)."""
    print("\n" + "=" * 60)
    print("STEP 3: Testing Stealth Mode Integration")
    print("=" * 60)
    try:
        from crawl4ai import AsyncWebCrawler, BrowserConfig
        # Create browser config with stealth mode
        browser_config = BrowserConfig(
            headless=True,
            verbose=False
        )
        async with AsyncWebCrawler(config=browser_config, verbose=True) as crawler:
            print("Crawling with stealth mode enabled...")
            result = await crawler.arun(
                url="https://www.example.com",
                bypass_cache=True
            )
            if result.success:
                print(f"✓ Stealth crawl successful!")
                print(f"  - Stealth mode: ✓ Working")
                return True
            else:
                print(f"✗ Stealth crawl failed: {result.error_message}")
                return False
    except Exception as e:
        print(f"✗ Stealth test failed with error: {e}")
        import traceback
        traceback.print_exc()
        return False
 async def main():
    """Run all tests."""
    print("\n")
    print("╔" + "=" * 58 + "╗")
    print("║  pyOpenSSL Security Update Verification Test (Issue #1545) ║")
    print("╚" + "=" * 58 + "╝")
    print("\n")
    # Step 1: Check versions
    versions_ok = check_versions()
    if not versions_ok:
        print("\n✗ FAILED: Version requirements not met")
        return False
    # Step 2: Test basic crawling
    crawl_ok = await test_basic_crawl()
    if not crawl_ok:
        print("\n✗ FAILED: Basic crawling test failed")
        return False
    # Step 3: Test stealth mode
    stealth_ok = await test_stealth_mode()
    if not stealth_ok:
        print("\n✗ FAILED: Stealth mode test failed")
        return False
    # All tests passed
    print("\n" + "=" * 60)
    print("FINAL RESULT")
    print("=" * 60)
    print("✓ All tests passed successfully!")
    print("✓ pyOpenSSL update is working correctly")
    print("✓ No breaking changes detected")
    print("✓ Security vulnerability resolved")
    print("=" * 60)
    print("\n")
    return True
 if __name__ == "__main__":
    try:
        success = asyncio.run(main())
        sys.exit(0 if success else 1)
    except KeyboardInterrupt:
        print("\n\nTest interrupted by user")
        sys.exit(1)
    except Exception as e:
        print(f"\n✗ Unexpected error: {e}")
        import traceback
        traceback.print_exc()
        sys.exit(1)