Add smoke test and comprehensive documentation

- Created standalone smoke test script for quick validation
- Added detailed CHANGES_CDP_CONCURRENCY.md documentation
- Documented all fixes, testing approach, and migration guide
- Smoke test can run without pytest for easy verification

Co-authored-by: Ahmed-Tawfik94 <106467151+Ahmed-Tawfik94@users.noreply.github.com>

CHANGES_CDP_CONCURRENCY.md

@@ -0,0 +1,214 @@
+# CDP Browser Concurrency Fixes and Improvements
+
+## Overview
+
+This document describes the changes made to fix concurrency issues with CDP (Chrome DevTools Protocol) browsers when using `arun_many` and improve overall browser management.
+
+## Problems Addressed
+
+1. **Race Conditions in Page Creation**: When using managed CDP browsers with concurrent `arun_many` calls, the code attempted to reuse existing pages from `context.pages`, leading to race conditions and "Target page/context closed" errors.
+
+2. **Proxy Configuration Issues**: Proxy credentials were incorrectly embedded in the `--proxy-server` URL, which doesn't work properly with CDP browsers.
+
+3. **Insufficient Startup Checks**: Browser process startup checks were minimal and didn't catch early failures effectively.
+
+4. **Unclear Logging**: Logging messages lacked structure and context, making debugging difficult.
+
+5. **Duplicate Browser Arguments**: Browser launch arguments could contain duplicates despite deduplication attempts.
+
+## Solutions Implemented
+
+### 1. Always Create New Pages in Managed Browser Mode
+
+**File**: `crawl4ai/browser_manager.py` (lines 1106-1113)
+
+**Change**: Modified `get_page()` method to always create new pages instead of attempting to reuse existing ones for managed browsers without `storage_state`.
+
+**Before**:
+```python
+context = self.default_context
+pages = context.pages
+page = next((p for p in pages if p.url == crawlerRunConfig.url), None)
+if not page:
+    if pages:
+        page = pages[0]
+    else:
+        # Create new page only if none exist
+        async with self._page_lock:
+            page = await context.new_page()
+```
+
+**After**:
+```python
+context = self.default_context
+# Always create new pages instead of reusing existing ones
+# This prevents race conditions in concurrent scenarios (arun_many with CDP)
+# Serialize page creation to avoid 'Target page/context closed' errors
+async with self._page_lock:
+    page = await context.new_page()
+await self._apply_stealth_to_page(page)
+```
+
+**Benefits**:
+- Eliminates race conditions when multiple tasks call `arun_many` concurrently
+- Each request gets a fresh, independent page
+- Page lock serializes creation to prevent TOCTOU (Time-of-check to time-of-use) issues
+
+### 2. Fixed Proxy Flag Formatting
+
+**File**: `crawl4ai/browser_manager.py` (lines 103-109)
+
+**Change**: Removed credentials from proxy URL as they should be handled via separate authentication mechanisms in CDP.
+
+**Before**:
+```python
+elif config.proxy_config:
+    creds = ""
+    if config.proxy_config.username and config.proxy_config.password:
+        creds = f"{config.proxy_config.username}:{config.proxy_config.password}@"
+    flags.append(f"--proxy-server={creds}{config.proxy_config.server}")
+```
+
+**After**:
+```python
+elif config.proxy_config:
+    # Note: For CDP/managed browsers, proxy credentials should be handled
+    # via authentication, not in the URL. Only pass the server address.
+    flags.append(f"--proxy-server={config.proxy_config.server}")
+```
+
+### 3. Enhanced Startup Checks
+
+**File**: `crawl4ai/browser_manager.py` (lines 298-336)
+
+**Changes**:
+- Multiple check intervals (0.1s, 0.2s, 0.3s) to catch early failures
+- Capture and log stdout/stderr on failure (limited to 200 chars)
+- Raise `RuntimeError` with detailed diagnostics on startup failure
+- Log process PID on successful startup in verbose mode
+
+**Benefits**:
+- Catches browser crashes during startup
+- Provides detailed diagnostic information for debugging
+- Fails fast with clear error messages
+
+### 4. Improved Logging
+
+**File**: `crawl4ai/browser_manager.py` (lines 218-291)
+
+**Changes**:
+- Structured logging with proper parameter substitution
+- Log browser type, port, and headless status at launch
+- Format and log full command with proper shell escaping
+- Better error messages with context
+- Consistent use of logger with null checks
+
+**Example**:
+```python
+if self.logger and self.browser_config.verbose:
+    self.logger.debug(
+        "Launching browser: {browser_type} | Port: {port} | Headless: {headless}",
+        tag="BROWSER",
+        params={
+            "browser_type": self.browser_type,
+            "port": self.debugging_port,
+            "headless": self.headless
+        }
+    )
+```
+
+### 5. Deduplicate Browser Launch Arguments
+
+**File**: `crawl4ai/browser_manager.py` (lines 424-425)
+
+**Change**: Added explicit deduplication after merging all flags.
+
+```python
+# merge common launch flags
+flags.extend(self.build_browser_flags(self.browser_config))
+# Deduplicate flags - use dict.fromkeys to preserve order while removing duplicates
+flags = list(dict.fromkeys(flags))
+```
+
+### 6. Import Refactoring
+
+**Files**: `crawl4ai/browser_manager.py`, `crawl4ai/browser_profiler.py`, `tests/browser/test_cdp_concurrency.py`
+
+**Changes**: Organized all imports according to PEP 8:
+1. Standard library imports (alphabetized)
+2. Third-party imports (alphabetized)
+3. Local imports (alphabetized)
+
+**Benefits**:
+- Improved code readability
+- Easier to spot missing or unused imports
+- Consistent style across the codebase
+
+## Testing
+
+### New Test Suite
+
+**File**: `tests/browser/test_cdp_concurrency.py`
+
+Comprehensive test suite with 8 tests covering:
+
+1. **Basic Concurrent arun_many**: Validates multiple URLs can be crawled concurrently
+2. **Sequential arun_many Calls**: Ensures multiple sequential batches work correctly
+3. **Stress Test**: Multiple concurrent `arun_many` calls to test page lock effectiveness
+4. **Page Isolation**: Verifies pages are truly independent
+5. **Different Configurations**: Tests with varying viewport sizes and configs
+6. **Error Handling**: Ensures errors in one request don't affect others
+7. **Large Batches**: Scalability test with 10+ URLs
+8. **Smoke Test Script**: Standalone script for quick validation
+
+### Running Tests
+
+**With pytest** (if available):
+```bash
+cd /path/to/crawl4ai
+pytest tests/browser/test_cdp_concurrency.py -v
+```
+
+**Standalone smoke test**:
+```bash
+cd /path/to/crawl4ai
+python3 tests/browser/smoke_test_cdp.py
+```
+
+## Migration Guide
+
+### For Users
+
+No breaking changes. Existing code will continue to work, but with better reliability in concurrent scenarios.
+
+### For Contributors
+
+When working with managed browsers:
+1. Always use the page lock when creating pages in shared contexts
+2. Prefer creating new pages over reusing existing ones for concurrent operations
+3. Use structured logging with parameter substitution
+4. Follow PEP 8 import organization
+
+## Performance Impact
+
+- **Positive**: Eliminates race conditions and crashes in concurrent scenarios
+- **Neutral**: Page creation overhead is negligible compared to page navigation
+- **Consideration**: More pages may be created, but they are properly closed after use
+
+## Backward Compatibility
+
+All changes are backward compatible. Session-based page reuse still works as before when `session_id` is provided.
+
+## Related Issues
+
+- Fixes race conditions in concurrent `arun_many` calls with CDP browsers
+- Addresses "Target page/context closed" errors
+- Improves browser startup reliability
+
+## Future Improvements
+
+Consider:
+1. Configurable page pooling with proper lifecycle management
+2. More granular locks for different contexts
+3. Metrics for page creation/reuse patterns
+4. Connection pooling for CDP connections

Dockerfile

@@ -1,7 +1,7 @@
 FROM python:3.12-slim-bookworm AS build
 
 # C4ai version
-ARG C4AI_VER=0.7.0-r1
+ARG C4AI_VER=0.7.6
 ENV C4AI_VERSION=$C4AI_VER
 LABEL c4ai.version=$C4AI_VER
 

README.md

@@ -27,13 +27,13 @@
 
 Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.
 
-[✨ Check out latest update v0.7.5](#-recent-updates)
+[✨ Check out latest update v0.7.6](#-recent-updates)
 
-✨ New in v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
+✨ **New in v0.7.6**: Complete Webhook Infrastructure for Docker Job Queue API! Real-time notifications for both `/crawl/job` and `/llm/job` endpoints with exponential backoff retry, custom headers, and flexible delivery modes. No more polling! [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.6.md)
 
-✨ Recent v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
+✨ Recent v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
 
-✨ Previous v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
+✨ Previous v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
 
 <details>
   <summary>🤓 <strong>My Personal Story</strong></summary>

crawl4ai/__version__.py

@@ -1,7 +1,7 @@
 # crawl4ai/__version__.py
 
 # This is the version that will be used for stable releases
-__version__ = "0.7.5"
+__version__ = "0.7.6"
 
 # For nightly builds, this gets set during build process
 __nightly_version__ = None

crawl4ai/async_crawler_strategy.py

@@ -1383,9 +1383,10 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
         try:
             await self.adapter.evaluate(page,
                 f"""
-                (() => {{
+                (async () => {{
                     try {{
-                        {remove_overlays_js}
+                        const removeOverlays = {remove_overlays_js};
+                        await removeOverlays();
                         return {{ success: true }};
                     }} catch (error) {{
                         return {{

crawl4ai/browser_manager.py

@@ -1,21 +1,26 @@
+# Standard library imports
 import asyncio
-import time
-from typing import List, Optional
+import hashlib
 import os
-import sys
+import shlex
 import shutil
-import tempfile
-import psutil  
 import signal
 import subprocess
-import shlex
-from playwright.async_api import BrowserContext
-import hashlib
-from .js_snippet import load_js_script
-from .config import DOWNLOAD_PAGE_TIMEOUT
-from .async_configs import BrowserConfig, CrawlerRunConfig
-from .utils import get_chromium_path
+import sys
+import tempfile
+import time
 import warnings
+from typing import List, Optional
+
+# Third-party imports
+import psutil
+from playwright.async_api import BrowserContext
+
+# Local imports
+from .async_configs import BrowserConfig, CrawlerRunConfig
+from .config import DOWNLOAD_PAGE_TIMEOUT
+from .js_snippet import load_js_script
+from .utils import get_chromium_path
 
 
 BROWSER_DISABLE_OPTIONS = [
@@ -104,10 +109,9 @@ class ManagedBrowser:
         if config.proxy:
             flags.append(f"--proxy-server={config.proxy}")
         elif config.proxy_config:
-            creds = ""
-            if config.proxy_config.username and config.proxy_config.password:
-                creds = f"{config.proxy_config.username}:{config.proxy_config.password}@"
-            flags.append(f"--proxy-server={creds}{config.proxy_config.server}")
+            # Note: For CDP/managed browsers, proxy credentials should be handled
+            # via authentication, not in the URL. Only pass the server address.
+            flags.append(f"--proxy-server={config.proxy_config.server}")
         # dedupe
         return list(dict.fromkeys(flags))
 
@@ -219,11 +223,27 @@ class ManagedBrowser:
                         os.remove(fp)
         except Exception as _e:
             # non-fatal — we'll try to start anyway, but log what happened
-            self.logger.warning(f"pre-launch cleanup failed: {_e}", tag="BROWSER")            
-            
+            if self.logger:
+                self.logger.warning(
+                    "Pre-launch cleanup failed: {error} | Will attempt to start browser anyway",
+                    tag="BROWSER",
+                    params={"error": str(_e)}
+                )
 
         # Start browser process
         try:
+            # Log browser launch intent
+            if self.logger and self.browser_config.verbose:
+                self.logger.debug(
+                    "Launching browser: {browser_type} | Port: {port} | Headless: {headless}",
+                    tag="BROWSER",
+                    params={
+                        "browser_type": self.browser_type,
+                        "port": self.debugging_port,
+                        "headless": self.headless
+                    }
+                )
+                
             # Use DETACHED_PROCESS flag on Windows to fully detach the process
             # On Unix, we'll use preexec_fn=os.setpgrp to start the process in a new process group
             if sys.platform == "win32":
@@ -241,19 +261,36 @@ class ManagedBrowser:
                     preexec_fn=os.setpgrp  # Start in a new process group
                 )
                 
-            # If verbose is True print args used to run the process
+            # Log full command if verbose logging is enabled
             if self.logger and self.browser_config.verbose:
+                # Format args for better readability - escape and join
+                formatted_args = ' '.join(shlex.quote(str(arg)) for arg in args)
                 self.logger.debug(
-                    f"Starting browser with args: {' '.join(args)}",
-                    tag="BROWSER"
-                )    
+                    "Browser launch command: {command}",
+                    tag="BROWSER",
+                    params={"command": formatted_args}
+                )
                 
-            # We'll monitor for a short time to make sure it starts properly, but won't keep monitoring
-            await asyncio.sleep(0.5)  # Give browser time to start
+            # Perform startup health checks
+            await asyncio.sleep(0.5)  # Initial delay for process startup
             await self._initial_startup_check()
-            await asyncio.sleep(2)  # Give browser time to start
-            return f"http://{self.host}:{self.debugging_port}"
+            await asyncio.sleep(2)  # Additional time for browser initialization
+            
+            cdp_url = f"http://{self.host}:{self.debugging_port}"
+            if self.logger:
+                self.logger.info(
+                    "Browser started successfully | CDP URL: {cdp_url}",
+                    tag="BROWSER",
+                    params={"cdp_url": cdp_url}
+                )
+            return cdp_url
         except Exception as e:
+            if self.logger:
+                self.logger.error(
+                    "Failed to start browser: {error}",
+                    tag="BROWSER",
+                    params={"error": str(e)}
+                )
             await self.cleanup()
             raise Exception(f"Failed to start browser: {e}")
 
@@ -266,23 +303,41 @@ class ManagedBrowser:
             return
             
         # Check that process started without immediate termination
-        await asyncio.sleep(0.5)
-        if self.browser_process.poll() is not None:
-            # Process already terminated
-            stdout, stderr = b"", b""
-            try:
-                stdout, stderr = self.browser_process.communicate(timeout=0.5)
-            except subprocess.TimeoutExpired:
-                pass
+        # Perform multiple checks with increasing delays to catch early failures
+        check_intervals = [0.1, 0.2, 0.3]  # Total 0.6s
+        
+        for delay in check_intervals:
+            await asyncio.sleep(delay)
+            if self.browser_process.poll() is not None:
+                # Process already terminated - capture output for debugging
+                stdout, stderr = b"", b""
+                try:
+                    stdout, stderr = self.browser_process.communicate(timeout=0.5)
+                except subprocess.TimeoutExpired:
+                    pass
+                    
+                error_msg = "Browser process terminated during startup"
+                if stderr:
+                    error_msg += f" | STDERR: {stderr.decode()[:200]}"  # Limit output length
+                if stdout:
+                    error_msg += f" | STDOUT: {stdout.decode()[:200]}"
+                    
+                self.logger.error(
+                    message="{error_msg} | Exit code: {code}",
+                    tag="BROWSER",
+                    params={
+                        "error_msg": error_msg,
+                        "code": self.browser_process.returncode,
+                    },
+                )
+                raise RuntimeError(f"Browser failed to start: {error_msg}")
                 
-            self.logger.error(
-                message="Browser process terminated during startup | Code: {code} | STDOUT: {stdout} | STDERR: {stderr}",
-                tag="ERROR",
-                params={
-                    "code": self.browser_process.returncode,
-                    "stdout": stdout.decode() if stdout else "",
-                    "stderr": stderr.decode() if stderr else "",
-                },
+        # Process is still running after checks - log success
+        if self.logger and self.browser_config.verbose:
+            self.logger.debug(
+                "Browser process startup check passed | PID: {pid}",
+                tag="BROWSER",
+                params={"pid": self.browser_process.pid}
             )
     
     async def _monitor_browser_process(self):
@@ -371,6 +426,8 @@ class ManagedBrowser:
                 flags.append("--headless=new")
             # merge common launch flags
             flags.extend(self.build_browser_flags(self.browser_config))
+            # Deduplicate flags - use dict.fromkeys to preserve order while removing duplicates
+            flags = list(dict.fromkeys(flags))
         elif self.browser_type == "firefox":
             flags = [
                 "--remote-debugging-port",
@@ -1048,21 +1105,12 @@ class BrowserManager:
                 await self._apply_stealth_to_page(page)
             else:
                 context = self.default_context
-                pages = context.pages
-                page = next((p for p in pages if p.url == crawlerRunConfig.url), None)
-                if not page:
-                    if pages:
-                        page = pages[0]
-                    else:
-                        # Double-check under lock to avoid TOCTOU and ensure only
-                        # one task calls new_page when pages=[] concurrently
-                        async with self._page_lock:
-                            pages = context.pages
-                            if pages:
-                                page = pages[0]
-                            else:
-                                page = await context.new_page()
-                                await self._apply_stealth_to_page(page)
+                # Always create new pages instead of reusing existing ones
+                # This prevents race conditions in concurrent scenarios (arun_many with CDP)
+                # Serialize page creation to avoid 'Target page/context closed' errors
+                async with self._page_lock:
+                    page = await context.new_page()
+                await self._apply_stealth_to_page(page)
         else:
             # Otherwise, check if we have an existing context for this config
             config_signature = self._make_config_signature(crawlerRunConfig)

crawl4ai/browser_profiler.py

@@ -5,22 +5,26 @@ This module provides a dedicated class for managing browser profiles
 that can be used for identity-based crawling with Crawl4AI.
 """
 
-import os
+# Standard library imports
 import asyncio
-import signal
-import sys
 import datetime
-import uuid
-import shutil
 import json
+import os
+import shutil
+import signal
 import subprocess
+import sys
 import time
-from typing import List, Dict, Optional, Any
+import uuid
+from typing import Any, Dict, List, Optional
+
+# Third-party imports
 from rich.console import Console
 
+# Local imports
 from .async_configs import BrowserConfig
-from .browser_manager import ManagedBrowser
 from .async_logger import AsyncLogger, AsyncLoggerBase, LogColor
+from .browser_manager import ManagedBrowser
 from .utils import get_home_folder
 
 

deploy/docker/README.md

@@ -59,15 +59,13 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest release candidate is `0.7.0-r1`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
-
-> ⚠️ **Important Note**: The `latest` tag currently points to the stable `0.6.0` version. After testing and validation, `0.7.0` (without -r1) will be released and `latest` will be updated. For now, please use `0.7.0-r1` to test the new features.
+Our latest stable release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
 
 ```bash
-# Pull the release candidate (for testing new features)
-docker pull unclecode/crawl4ai:0.7.0-r1
+# Pull the latest stable version (0.7.6)
+docker pull unclecode/crawl4ai:0.7.6
 
-# Or pull the current stable version (0.6.0)
+# Or use the latest tag (points to 0.7.6)
 docker pull unclecode/crawl4ai:latest
 ```
 
@@ -102,7 +100,7 @@ EOL
       -p 11235:11235 \
       --name crawl4ai \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.0-r1
+      unclecode/crawl4ai:0.7.6
     ```
 
 *   **With LLM support:**
@@ -113,7 +111,7 @@ EOL
       --name crawl4ai \
       --env-file .llm.env \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.0-r1
+      unclecode/crawl4ai:0.7.6
     ```
 
 > The server will be available at `http://localhost:11235`. Visit `/playground` to access the interactive testing interface.
@@ -186,7 +184,7 @@ The `docker-compose.yml` file in the project root provides a simplified approach
     ```bash
     # Pulls and runs the release candidate from Docker Hub
     # Automatically selects the correct architecture
-    IMAGE=unclecode/crawl4ai:0.7.0-r1 docker compose up -d
+    IMAGE=unclecode/crawl4ai:0.7.6 docker compose up -d
     ```
 
 *   **Build and Run Locally:**
@@ -787,6 +785,54 @@ 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.
 
 ---

docker-compose.yml

@@ -6,15 +6,16 @@ x-base-config: &base-config
     - "11235:11235"  # Gunicorn port
   env_file:
     - .llm.env       # API keys (create from .llm.env.example)
-  environment:
-    - OPENAI_API_KEY=${OPENAI_API_KEY:-}
-    - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
-    - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
-    - GROQ_API_KEY=${GROQ_API_KEY:-}
-    - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
-    - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
-    - GEMINI_API_TOKEN=${GEMINI_API_TOKEN:-}
-    - LLM_PROVIDER=${LLM_PROVIDER:-}  # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
+  # Uncomment to set default environment variables (will overwrite .llm.env)
+  # environment:
+  #   - OPENAI_API_KEY=${OPENAI_API_KEY:-}
+  #   - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
+  #   - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
+  #   - GROQ_API_KEY=${GROQ_API_KEY:-}
+  #   - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
+  #   - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
+  #   - GEMINI_API_KEY=${GEMINI_API_KEY:-}
+  #   - LLM_PROVIDER=${LLM_PROVIDER:-}  # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
   volumes:
     - /dev/shm:/dev/shm  # Chromium performance
   deploy:

docs/blog/release-v0.7.6.md

@@ -0,0 +1,314 @@
+# Crawl4AI v0.7.6 Release Notes
+
+*Release Date: October 22, 2025*
+
+I'm excited to announce Crawl4AI v0.7.6, featuring a complete webhook infrastructure for the Docker job queue API! This release eliminates polling and brings real-time notifications to both crawling and LLM extraction workflows.
+
+## 🎯 What's New
+
+### Webhook Support for Docker Job Queue API
+
+The headline feature of v0.7.6 is comprehensive webhook support for asynchronous job processing. No more constant polling to check if your jobs are done - get instant notifications when they complete!
+
+**Key Capabilities:**
+
+- ✅ **Universal Webhook Support**: Both `/crawl/job` and `/llm/job` endpoints now support webhooks
+- ✅ **Flexible Delivery Modes**: Choose notification-only or include full data in the webhook payload
+- ✅ **Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- ✅ **Custom Authentication**: Add custom headers for webhook authentication
+- ✅ **Global Configuration**: Set default webhook URL in `config.yml` for all jobs
+- ✅ **Task Type Identification**: Distinguish between `crawl` and `llm_extraction` tasks
+
+### How It Works
+
+Instead of constantly checking job status:
+
+**OLD WAY (Polling):**
+```python
+# Submit job
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+task_id = response.json()['task_id']
+
+# Poll until complete
+while True:
+    status = requests.get(f"http://localhost:11235/crawl/job/{task_id}")
+    if status.json()['status'] == 'completed':
+        break
+    time.sleep(5)  # Wait and try again
+```
+
+**NEW WAY (Webhooks):**
+```python
+# Submit job with webhook
+payload = {
+    "urls": ["https://example.com"],
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+
+# Done! Webhook will notify you when complete
+# Your webhook handler receives the results automatically
+```
+
+### Crawl Job Webhooks
+
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "browser_config": {"headless": true},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false,
+      "webhook_headers": {
+        "X-Webhook-Secret": "your-secret-token"
+      }
+    }
+  }'
+```
+
+### LLM Extraction Job Webhooks (NEW!)
+
+```bash
+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 publication date",
+    "schema": "{\"type\":\"object\",\"properties\":{\"title\":{\"type\":\"string\"}}}",
+    "provider": "openai/gpt-4o-mini",
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/llm-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+### Webhook Payload Structure
+
+**Success (with data):**
+```json
+{
+  "task_id": "llm_1698765432",
+  "task_type": "llm_extraction",
+  "status": "completed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com/article"],
+  "data": {
+    "extracted_content": {
+      "title": "Understanding Web Scraping",
+      "author": "John Doe",
+      "date": "2025-10-22"
+    }
+  }
+}
+```
+
+**Failure:**
+```json
+{
+  "task_id": "crawl_abc123",
+  "task_type": "crawl",
+  "status": "failed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "error": "Connection timeout after 30s"
+}
+```
+
+### Simple Webhook Handler Example
+
+```python
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route('/webhook', methods=['POST'])
+def handle_webhook():
+    payload = request.json
+
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    if status == 'completed':
+        if 'data' in payload:
+            # Process data directly
+            data = payload['data']
+        else:
+            # Fetch from API
+            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
+            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
+            data = response.json()
+
+        # Your business logic here
+        print(f"Job {task_id} completed!")
+
+    elif status == 'failed':
+        error = payload.get('error', 'Unknown error')
+        print(f"Job {task_id} failed: {error}")
+
+    return jsonify({"status": "received"}), 200
+
+app.run(port=8080)
+```
+
+## 📊 Performance Improvements
+
+- **Reduced Server Load**: Eliminates constant polling requests
+- **Lower Latency**: Instant notification vs. polling interval delay
+- **Better Resource Usage**: Frees up client connections while jobs run in background
+- **Scalable Architecture**: Handles high-volume crawling workflows efficiently
+
+## 🐛 Bug Fixes
+
+- Fixed webhook configuration serialization for Pydantic HttpUrl fields
+- Improved error handling in webhook delivery service
+- Enhanced Redis task storage for webhook config persistence
+
+## 🌍 Expected Real-World Impact
+
+### For Web Scraping Workflows
+- **Reduced Costs**: Less API calls = lower bandwidth and server costs
+- **Better UX**: Instant notifications improve user experience
+- **Scalability**: Handle 100s of concurrent jobs without polling overhead
+
+### For LLM Extraction Pipelines
+- **Async Processing**: Submit LLM extraction jobs and move on
+- **Batch Processing**: Queue multiple extractions, get notified as they complete
+- **Integration**: Easy integration with workflow automation tools (Zapier, n8n, etc.)
+
+### For Microservices
+- **Event-Driven**: Perfect for event-driven microservice architectures
+- **Decoupling**: Decouple job submission from result processing
+- **Reliability**: Automatic retries ensure webhooks are delivered
+
+## 🔄 Breaking Changes
+
+**None!** This release is fully backward compatible.
+
+- Webhook configuration is optional
+- Existing code continues to work without modification
+- Polling is still supported for jobs without webhook config
+
+## 📚 Documentation
+
+### New Documentation
+- **[WEBHOOK_EXAMPLES.md](../deploy/docker/WEBHOOK_EXAMPLES.md)** - Comprehensive webhook usage guide
+- **[docker_webhook_example.py](../docs/examples/docker_webhook_example.py)** - Working code examples
+
+### Updated Documentation
+- **[Docker README](../deploy/docker/README.md)** - Added webhook sections
+- API documentation with webhook examples
+
+## 🛠️ Migration Guide
+
+No migration needed! Webhooks are opt-in:
+
+1. **To use webhooks**: Add `webhook_config` to your job payload
+2. **To keep polling**: Continue using your existing code
+
+### Quick Start
+
+```python
+# Just add webhook_config to your existing payload
+payload = {
+    # Your existing configuration
+    "urls": ["https://example.com"],
+    "browser_config": {...},
+    "crawler_config": {...},
+
+    # NEW: Add webhook configuration
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+```
+
+## 🔧 Configuration
+
+### Global Webhook Configuration (config.yml)
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"  # Optional
+  data_in_payload: false
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000
+    max_delay_ms: 32000
+    timeout_ms: 30000
+  headers:
+    User-Agent: "Crawl4AI-Webhook/1.0"
+```
+
+## 🚀 Upgrade Instructions
+
+### Docker
+
+```bash
+# Pull the latest image
+docker pull unclecode/crawl4ai:0.7.6
+
+# Or use latest tag
+docker pull unclecode/crawl4ai:latest
+
+# Run with webhook support
+docker run -d \
+  -p 11235:11235 \
+  --env-file .llm.env \
+  --name crawl4ai \
+  unclecode/crawl4ai:0.7.6
+```
+
+### Python Package
+
+```bash
+pip install --upgrade crawl4ai
+```
+
+## 💡 Pro Tips
+
+1. **Use notification-only mode** for large results - fetch data separately to avoid large webhook payloads
+2. **Set custom headers** for webhook authentication and request tracking
+3. **Configure global default webhook** for consistent handling across all jobs
+4. **Implement idempotent webhook handlers** - same webhook may be delivered multiple times on retry
+5. **Use structured schemas** with LLM extraction for predictable webhook data
+
+## 🎬 Demo
+
+Try the release demo:
+
+```bash
+python docs/releases_review/demo_v0.7.6.py
+```
+
+This comprehensive demo showcases:
+- Crawl job webhooks (notification-only and with data)
+- LLM extraction webhooks (with JSON schema support)
+- Custom headers for authentication
+- Webhook retry mechanism
+- Real-time webhook receiver
+
+## 🙏 Acknowledgments
+
+Thank you to the community for the feedback that shaped this feature! Special thanks to everyone who requested webhook support for asynchronous job processing.
+
+## 📞 Support
+
+- **Documentation**: https://docs.crawl4ai.com
+- **GitHub Issues**: https://github.com/unclecode/crawl4ai/issues
+- **Discord**: https://discord.gg/crawl4ai
+
+---
+
+**Happy crawling with webhooks!** 🕷️🪝
+
+*- unclecode*

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 flask
+   pip install -r requirements.txt
    ```
 
 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:8080
+   http://localhost:8000
    ```
 
 **🌐 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 = 8080
+PORT = 8000
 DEBUG = True
 THREADED = True
 ```
@@ -343,9 +343,9 @@ THREADED = True
 **Port Already in Use**
 ```bash
 # Kill existing process
-lsof -ti:8080 | xargs kill -9
+lsof -ti:8000 | xargs kill -9
 # Or use different port
-python server.py --port 8081
+python server.py --port 8001
 ```
 
 **Blockly Not Loading**

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://127.0.0.1:8080/playground/
+GO http://127.0.0.1:8000/playground/
 WAIT `body` 2
 IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
 IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''

docs/md_v2/advanced/identity-based-crawling.md

@@ -82,6 +82,42 @@ 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`**:

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 flask
+   pip install -r requirements.txt
    ```
 
 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:8080
+   http://localhost:8000
    ```
 
 **🌐 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 = 8080
+PORT = 8000
 DEBUG = True
 THREADED = True
 ```
@@ -343,9 +343,9 @@ THREADED = True
 **Port Already in Use**
 ```bash
 # Kill existing process
-lsof -ti:8080 | xargs kill -9
+lsof -ti:8000 | xargs kill -9
 # Or use different port
-python server.py --port 8081
+python server.py --port 8001
 ```
 
 **Blockly Not Loading**

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://127.0.0.1:8080/playground/
+GO http://127.0.0.1:8000/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', 8080))
+    port = int(os.environ.get('PORT', 8000))
     print(f"""
 ╔══════════════════════════════════════════════════════════╗
 ║          C4A-Script Interactive Tutorial Server          ║

docs/md_v2/blog/index.md

@@ -20,6 +20,23 @@ Ever wondered why your AI coding assistant struggles with your library despite c
 
 ## Latest Release
 
+### [Crawl4AI v0.7.6 – The Webhook Infrastructure Update](../blog/release-v0.7.6.md)
+*October 22, 2025*
+
+Crawl4AI v0.7.6 introduces comprehensive webhook support for the Docker job queue API, bringing real-time notifications to both crawling and LLM extraction workflows. No more polling!
+
+Key highlights:
+- **🪝 Complete Webhook Support**: Real-time notifications for both `/crawl/job` and `/llm/job` endpoints
+- **🔄 Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- **🔐 Custom Authentication**: Add custom headers for webhook authentication
+- **📊 Flexible Delivery**: Choose notification-only or include full data in payload
+- **⚙️ Global Configuration**: Set default webhook URL in config.yml for all jobs
+- **🎯 Zero Breaking Changes**: Fully backward compatible, webhooks are opt-in
+
+[Read full release notes →](../blog/release-v0.7.6.md)
+
+## Recent Releases
+
 ### [Crawl4AI v0.7.5 – The Docker Hooks & Security Update](../blog/release-v0.7.5.md)
 *September 29, 2025*
 

docs/md_v2/blog/releases/0.7.6.md

@@ -0,0 +1,314 @@
+# Crawl4AI v0.7.6 Release Notes
+
+*Release Date: October 22, 2025*
+
+I'm excited to announce Crawl4AI v0.7.6, featuring a complete webhook infrastructure for the Docker job queue API! This release eliminates polling and brings real-time notifications to both crawling and LLM extraction workflows.
+
+## 🎯 What's New
+
+### Webhook Support for Docker Job Queue API
+
+The headline feature of v0.7.6 is comprehensive webhook support for asynchronous job processing. No more constant polling to check if your jobs are done - get instant notifications when they complete!
+
+**Key Capabilities:**
+
+- ✅ **Universal Webhook Support**: Both `/crawl/job` and `/llm/job` endpoints now support webhooks
+- ✅ **Flexible Delivery Modes**: Choose notification-only or include full data in the webhook payload
+- ✅ **Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- ✅ **Custom Authentication**: Add custom headers for webhook authentication
+- ✅ **Global Configuration**: Set default webhook URL in `config.yml` for all jobs
+- ✅ **Task Type Identification**: Distinguish between `crawl` and `llm_extraction` tasks
+
+### How It Works
+
+Instead of constantly checking job status:
+
+**OLD WAY (Polling):**
+```python
+# Submit job
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+task_id = response.json()['task_id']
+
+# Poll until complete
+while True:
+    status = requests.get(f"http://localhost:11235/crawl/job/{task_id}")
+    if status.json()['status'] == 'completed':
+        break
+    time.sleep(5)  # Wait and try again
+```
+
+**NEW WAY (Webhooks):**
+```python
+# Submit job with webhook
+payload = {
+    "urls": ["https://example.com"],
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+
+# Done! Webhook will notify you when complete
+# Your webhook handler receives the results automatically
+```
+
+### Crawl Job Webhooks
+
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "browser_config": {"headless": true},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false,
+      "webhook_headers": {
+        "X-Webhook-Secret": "your-secret-token"
+      }
+    }
+  }'
+```
+
+### LLM Extraction Job Webhooks (NEW!)
+
+```bash
+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 publication date",
+    "schema": "{\"type\":\"object\",\"properties\":{\"title\":{\"type\":\"string\"}}}",
+    "provider": "openai/gpt-4o-mini",
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/llm-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+### Webhook Payload Structure
+
+**Success (with data):**
+```json
+{
+  "task_id": "llm_1698765432",
+  "task_type": "llm_extraction",
+  "status": "completed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com/article"],
+  "data": {
+    "extracted_content": {
+      "title": "Understanding Web Scraping",
+      "author": "John Doe",
+      "date": "2025-10-22"
+    }
+  }
+}
+```
+
+**Failure:**
+```json
+{
+  "task_id": "crawl_abc123",
+  "task_type": "crawl",
+  "status": "failed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "error": "Connection timeout after 30s"
+}
+```
+
+### Simple Webhook Handler Example
+
+```python
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route('/webhook', methods=['POST'])
+def handle_webhook():
+    payload = request.json
+
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    if status == 'completed':
+        if 'data' in payload:
+            # Process data directly
+            data = payload['data']
+        else:
+            # Fetch from API
+            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
+            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
+            data = response.json()
+
+        # Your business logic here
+        print(f"Job {task_id} completed!")
+
+    elif status == 'failed':
+        error = payload.get('error', 'Unknown error')
+        print(f"Job {task_id} failed: {error}")
+
+    return jsonify({"status": "received"}), 200
+
+app.run(port=8080)
+```
+
+## 📊 Performance Improvements
+
+- **Reduced Server Load**: Eliminates constant polling requests
+- **Lower Latency**: Instant notification vs. polling interval delay
+- **Better Resource Usage**: Frees up client connections while jobs run in background
+- **Scalable Architecture**: Handles high-volume crawling workflows efficiently
+
+## 🐛 Bug Fixes
+
+- Fixed webhook configuration serialization for Pydantic HttpUrl fields
+- Improved error handling in webhook delivery service
+- Enhanced Redis task storage for webhook config persistence
+
+## 🌍 Expected Real-World Impact
+
+### For Web Scraping Workflows
+- **Reduced Costs**: Less API calls = lower bandwidth and server costs
+- **Better UX**: Instant notifications improve user experience
+- **Scalability**: Handle 100s of concurrent jobs without polling overhead
+
+### For LLM Extraction Pipelines
+- **Async Processing**: Submit LLM extraction jobs and move on
+- **Batch Processing**: Queue multiple extractions, get notified as they complete
+- **Integration**: Easy integration with workflow automation tools (Zapier, n8n, etc.)
+
+### For Microservices
+- **Event-Driven**: Perfect for event-driven microservice architectures
+- **Decoupling**: Decouple job submission from result processing
+- **Reliability**: Automatic retries ensure webhooks are delivered
+
+## 🔄 Breaking Changes
+
+**None!** This release is fully backward compatible.
+
+- Webhook configuration is optional
+- Existing code continues to work without modification
+- Polling is still supported for jobs without webhook config
+
+## 📚 Documentation
+
+### New Documentation
+- **[WEBHOOK_EXAMPLES.md](../deploy/docker/WEBHOOK_EXAMPLES.md)** - Comprehensive webhook usage guide
+- **[docker_webhook_example.py](../docs/examples/docker_webhook_example.py)** - Working code examples
+
+### Updated Documentation
+- **[Docker README](../deploy/docker/README.md)** - Added webhook sections
+- API documentation with webhook examples
+
+## 🛠️ Migration Guide
+
+No migration needed! Webhooks are opt-in:
+
+1. **To use webhooks**: Add `webhook_config` to your job payload
+2. **To keep polling**: Continue using your existing code
+
+### Quick Start
+
+```python
+# Just add webhook_config to your existing payload
+payload = {
+    # Your existing configuration
+    "urls": ["https://example.com"],
+    "browser_config": {...},
+    "crawler_config": {...},
+
+    # NEW: Add webhook configuration
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+```
+
+## 🔧 Configuration
+
+### Global Webhook Configuration (config.yml)
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"  # Optional
+  data_in_payload: false
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000
+    max_delay_ms: 32000
+    timeout_ms: 30000
+  headers:
+    User-Agent: "Crawl4AI-Webhook/1.0"
+```
+
+## 🚀 Upgrade Instructions
+
+### Docker
+
+```bash
+# Pull the latest image
+docker pull unclecode/crawl4ai:0.7.6
+
+# Or use latest tag
+docker pull unclecode/crawl4ai:latest
+
+# Run with webhook support
+docker run -d \
+  -p 11235:11235 \
+  --env-file .llm.env \
+  --name crawl4ai \
+  unclecode/crawl4ai:0.7.6
+```
+
+### Python Package
+
+```bash
+pip install --upgrade crawl4ai
+```
+
+## 💡 Pro Tips
+
+1. **Use notification-only mode** for large results - fetch data separately to avoid large webhook payloads
+2. **Set custom headers** for webhook authentication and request tracking
+3. **Configure global default webhook** for consistent handling across all jobs
+4. **Implement idempotent webhook handlers** - same webhook may be delivered multiple times on retry
+5. **Use structured schemas** with LLM extraction for predictable webhook data
+
+## 🎬 Demo
+
+Try the release demo:
+
+```bash
+python docs/releases_review/demo_v0.7.6.py
+```
+
+This comprehensive demo showcases:
+- Crawl job webhooks (notification-only and with data)
+- LLM extraction webhooks (with JSON schema support)
+- Custom headers for authentication
+- Webhook retry mechanism
+- Real-time webhook receiver
+
+## 🙏 Acknowledgments
+
+Thank you to the community for the feedback that shaped this feature! Special thanks to everyone who requested webhook support for asynchronous job processing.
+
+## 📞 Support
+
+- **Documentation**: https://docs.crawl4ai.com
+- **GitHub Issues**: https://github.com/unclecode/crawl4ai/issues
+- **Discord**: https://discord.gg/crawl4ai
+
+---
+
+**Happy crawling with webhooks!** 🕷️🪝
+
+*- unclecode*

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 flask
+pip install -r requirements.txt
 
 # Launch the tutorial server
-python app.py
+python server.py
 
-# Open http://localhost:5000 in your browser
+# Open http://localhost:8000 in your browser
 ```
 
 ## Core Concepts
@@ -111,8 +111,8 @@ CLICK `.submit-btn`
 # By attribute
 CLICK `button[type="submit"]`
 
-# By text content
-CLICK `button:contains("Sign In")`
+# By accessible attributes
+CLICK `button[aria-label="Search"][title="Search"]`
 
 # Complex selectors
 CLICK `.form-container input[name="email"]`

docs/md_v2/core/docker-deployment.md

@@ -27,6 +27,14 @@
   - [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)
@@ -65,13 +73,13 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest release is `0.7.3`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
+Our latest release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
 
-> 💡 **Note**: The `latest` tag points to the stable `0.7.3` version.
+> 💡 **Note**: The `latest` tag points to the stable `0.7.6` version.
 
 ```bash
 # Pull the latest version
-docker pull unclecode/crawl4ai:0.7.3
+docker pull unclecode/crawl4ai:0.7.6
 
 # Or pull using the latest tag
 docker pull unclecode/crawl4ai:latest
@@ -143,7 +151,7 @@ docker stop crawl4ai && docker rm crawl4ai
 #### Docker Hub Versioning Explained
 
 *   **Image Name:** `unclecode/crawl4ai`
-*   **Tag Format:** `LIBRARY_VERSION[-SUFFIX]` (e.g., `0.7.3`)
+*   **Tag Format:** `LIBRARY_VERSION[-SUFFIX]` (e.g., `0.7.6`)
     *   `LIBRARY_VERSION`: The semantic version of the core `crawl4ai` Python library
     *   `SUFFIX`: Optional tag for release candidates (``) and revisions (`r1`)
 *   **`latest` Tag:** Points to the most recent stable version
@@ -1110,6 +1118,464 @@ 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.

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.
 
-> **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
+> Enjoy using Crawl4AI? Consider **[becoming a sponsor](https://github.com/sponsors/unclecode)** to support ongoing development and community growth!
 
 ## 🆕 AI Assistant Skill Now Available!
 

docs/md_v2/marketplace/admin/admin.js

@@ -529,8 +529,19 @@ class AdminDashboard {
                     </label>
                 </div>
                 <div class="form-group full-width">
-                    <label>Integration Guide</label>
-                    <textarea id="form-integration" rows="10">${app?.integration_guide || ''}</textarea>
+                    <label>Long Description (Markdown - Overview tab)</label>
+                    <textarea id="form-long-description" rows="10" placeholder="Enter detailed description with markdown formatting...">${app?.long_description || ''}</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>
         `;
@@ -712,7 +723,9 @@ 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);

docs/md_v2/marketplace/app-detail.css

@@ -278,12 +278,12 @@
 }
 
 .tab-content {
-    display: none;
+    display: none !important;
     padding: 2rem;
 }
 
 .tab-content.active {
-    display: block;
+    display: block !important;
 }
 
 /* Overview Layout */
@@ -510,6 +510,31 @@
     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;

docs/md_v2/marketplace/app-detail.html

@@ -73,27 +73,14 @@
                 <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="support">Support</button>
+                    <!-- <button class="tab-btn" data-tab="docs">Documentation</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">
@@ -142,37 +129,16 @@
                 </section>
 
                 <section id="integration-tab" class="tab-content">
-                    <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 class="integration-content" id="app-integration">
                     </div>
                 </section>
 
-                <section id="docs-tab" class="tab-content">
-                    <div class="docs-content">
-                        <h2>Documentation</h2>
-                        <div id="app-docs" class="doc-sections">
-                            <p>Documentation coming soon.</p>
-                        </div>
+                <!-- <section id="docs-tab" class="tab-content">
+                    <div class="docs-content" id="app-docs">
                     </div>
-                </section>
+                </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">
@@ -190,7 +156,7 @@
                             </div>
                         </div>
                     </div>
-                </section>
+                </section> -->
             </div>
 
         </main>

docs/md_v2/marketplace/app-detail.js

@@ -112,7 +112,7 @@ class AppDetailPage {
         }
 
         // Contact
-        document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
+        document.getElementById('app-contact') && (document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available');
 
         // Sidebar info
         document.getElementById('sidebar-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
@@ -123,144 +123,132 @@ class AppDetailPage {
         document.getElementById('sidebar-pricing').textContent = this.appData.pricing || 'Free';
         document.getElementById('sidebar-contact').textContent = this.appData.contact_email || 'contact@example.com';
 
-        // Integration guide
-        this.renderIntegrationGuide();
+        // Render tab contents from database fields
+        this.renderTabContents();
     }
 
-    renderIntegrationGuide() {
-        // Installation code
-        const installCode = document.getElementById('install-code');
-        if (installCode) {
-            if (this.appData.type === 'Open Source' && this.appData.github_url) {
-                installCode.textContent = `# Clone from GitHub
-git clone ${this.appData.github_url}
-
-# 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'}`;
+    renderTabContents() {
+        // Overview tab - use long_description from database
+        const overviewDiv = document.getElementById('app-overview');
+        if (overviewDiv) {
+            if (this.appData.long_description) {
+                overviewDiv.innerHTML = this.renderMarkdown(this.appData.long_description);
+            } else {
+                overviewDiv.innerHTML = `<p>${this.appData.description || 'No overview available.'}</p>`;
             }
         }
 
-        // Usage code - customize based on category
-        const usageCode = document.getElementById('usage-code');
-        if (usageCode) {
-            if (this.appData.category === 'Browser Automation') {
-                usageCode.textContent = `from crawl4ai import AsyncWebCrawler
-from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
-
-async def main():
-    # 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)`;
+        // Integration tab - use integration_guide field from database
+        const integrationDiv = document.getElementById('app-integration');
+        if (integrationDiv) {
+            if (this.appData.integration_guide) {
+                integrationDiv.innerHTML = this.renderMarkdown(this.appData.integration_guide);
+                // Add copy buttons to all code blocks
+                this.addCopyButtonsToCodeBlocks(integrationDiv);
+            } else {
+                integrationDiv.innerHTML = '<p>Integration guide not yet available. Please check the official website for details.</p>';
             }
         }
 
-        // Integration example
-        const integrationCode = document.getElementById('integration-code');
-        if (integrationCode) {
-            integrationCode.textContent = this.appData.integration_guide ||
-`# Complete ${this.appData.name} Integration Example
-
-from crawl4ai import AsyncWebCrawler
-from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
-import json
-
-async def crawl_with_${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"}
-        ]
+        // Documentation tab - use documentation field from database
+        const docsDiv = document.getElementById('app-docs');
+        if (docsDiv) {
+            if (this.appData.documentation) {
+                docsDiv.innerHTML = this.renderMarkdown(this.appData.documentation);
+                // Add copy buttons to all code blocks
+                this.addCopyButtonsToCodeBlocks(docsDiv);
+            } else {
+                docsDiv.innerHTML = '<p>Documentation coming soon.</p>';
+            }
+        }
     }
 
-    # Initialize crawler with ${this.appData.name}
-    async with AsyncWebCrawler(
-        browser_type="chromium",
-        headless=True,
-        verbose=True
-    ) as crawler:
+    addCopyButtonsToCodeBlocks(container) {
+        // Find all code blocks and add copy buttons
+        const codeBlocks = container.querySelectorAll('pre code');
+        codeBlocks.forEach(codeBlock => {
+            const pre = codeBlock.parentElement;
 
-        # Crawl with extraction
-        result = await crawler.arun(
-            url="https://example.com/products",
-            extraction_strategy=JsonCssExtractionStrategy(schema),
-            cache_mode="bypass",
-            wait_for="css:.product",
-            screenshot=True
-        )
+            // Skip if already has a copy button
+            if (pre.querySelector('.copy-btn')) return;
 
-        # Process results
-        if result.success:
-            products = json.loads(result.extracted_content)
-            print(f"Found {len(products)} products")
+            // Create copy button
+            const copyBtn = document.createElement('button');
+            copyBtn.className = 'copy-btn';
+            copyBtn.textContent = 'Copy';
+            copyBtn.onclick = () => {
+                navigator.clipboard.writeText(codeBlock.textContent).then(() => {
+                    copyBtn.textContent = '✓ Copied!';
+                    setTimeout(() => {
+                        copyBtn.textContent = 'Copy';
+                    }, 2000);
+                });
+            };
 
-            for product in products[:5]:
-                print(f"- {product['title']}: {product['price']}")
+            // Add button to pre element
+            pre.style.position = 'relative';
+            pre.insertBefore(copyBtn, codeBlock);
+        });
+    }
 
-        return products
+    renderMarkdown(text) {
+        if (!text) return '';
 
-# Run the crawler
-if __name__ == "__main__":
-    import asyncio
-    asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
-        }
+        // Store code blocks temporarily to protect them from processing
+        const codeBlocks = [];
+        let processed = text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, lang, code) => {
+            const placeholder = `___CODE_BLOCK_${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) {
@@ -275,45 +263,27 @@ if __name__ == "__main__":
     setupEventListeners() {
         // Tab switching
         const tabs = document.querySelectorAll('.tab-btn');
+
         tabs.forEach(tab => {
             tab.addEventListener('click', () => {
-                // Update active tab
+                // Update active tab button
                 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');
-            });
-        });
 
-        // Copy integration code
-        document.getElementById('copy-integration').addEventListener('click', () => {
-            const code = document.getElementById('integration-code').textContent;
-            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);
-                });
+                // Show the selected tab content
+                const targetTab = document.getElementById(`${tabName}-tab`);
+                if (targetTab) {
+                    targetTab.classList.add('active');
+                }
             });
         });
     }

docs/md_v2/marketplace/backend/server.py

@@ -471,13 +471,17 @@ 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": "1.0.0",
+        "version": VERSION,
+        "build_date": BUILD_DATE,
         "endpoints": [
             "/marketplace/api/apps",
             "/marketplace/api/articles",

docs/releases_review/demo_v0.7.6.py

@@ -0,0 +1,359 @@
+#!/usr/bin/env python3
+"""
+Crawl4AI v0.7.6 Release Demo
+============================
+
+This demo showcases the major feature in v0.7.6:
+**Webhook Support for Docker Job Queue API**
+
+Features Demonstrated:
+1. Asynchronous job processing with webhook notifications
+2. Webhook support for /crawl/job endpoint
+3. Webhook support for /llm/job endpoint
+4. Notification-only vs data-in-payload modes
+5. Custom webhook headers for authentication
+6. Structured extraction with JSON schemas
+7. Exponential backoff retry for reliable delivery
+
+Prerequisites:
+- Crawl4AI Docker container running on localhost:11235
+- Flask installed: pip install flask requests
+- LLM API key configured (for LLM examples)
+
+Usage:
+python docs/releases_review/demo_v0.7.6.py
+"""
+
+import requests
+import json
+import time
+from flask import Flask, request, jsonify
+from threading import Thread
+
+# Configuration
+CRAWL4AI_BASE_URL = "http://localhost:11235"
+WEBHOOK_BASE_URL = "http://localhost:8080"
+
+# Flask app for webhook receiver
+app = Flask(__name__)
+received_webhooks = []
+
+
+@app.route('/webhook', methods=['POST'])
+def webhook_handler():
+    """Universal webhook handler for both crawl and LLM extraction jobs."""
+    payload = request.json
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    print(f"\n{'='*70}")
+    print(f"📬 Webhook Received!")
+    print(f"   Task ID: {task_id}")
+    print(f"   Task Type: {task_type}")
+    print(f"   Status: {status}")
+    print(f"   Timestamp: {payload['timestamp']}")
+
+    if status == 'completed':
+        if 'data' in payload:
+            print(f"   ✅ Data included in webhook")
+            if task_type == 'crawl':
+                results = payload['data'].get('results', [])
+                print(f"   📊 Crawled {len(results)} URL(s)")
+            elif task_type == 'llm_extraction':
+                extracted = payload['data'].get('extracted_content', {})
+                print(f"   🤖 Extracted: {json.dumps(extracted, indent=6)}")
+        else:
+            print(f"   📥 Notification only (fetch data separately)")
+    elif status == 'failed':
+        print(f"   ❌ Error: {payload.get('error', 'Unknown')}")
+
+    print(f"{'='*70}\n")
+    received_webhooks.append(payload)
+
+    return jsonify({"status": "received"}), 200
+
+
+def start_webhook_server():
+    """Start Flask webhook server in background."""
+    app.run(host='0.0.0.0', port=8080, debug=False, use_reloader=False)
+
+
+def demo_1_crawl_webhook_notification_only():
+    """Demo 1: Crawl job with webhook notification (data fetched separately)."""
+    print("\n" + "="*70)
+    print("DEMO 1: Crawl Job - Webhook Notification Only")
+    print("="*70)
+    print("Submitting crawl job with webhook notification...")
+
+    payload = {
+        "urls": ["https://example.com"],
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"},
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": False,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "crawl"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/crawl/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will notify when complete...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_2_crawl_webhook_with_data():
+    """Demo 2: Crawl job with full data in webhook payload."""
+    print("\n" + "="*70)
+    print("DEMO 2: Crawl Job - Webhook with Full Data")
+    print("="*70)
+    print("Submitting crawl job with data included in webhook...")
+
+    payload = {
+        "urls": ["https://www.python.org"],
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"},
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": True,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "crawl-with-data"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/crawl/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will include full results...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_3_llm_webhook_notification_only():
+    """Demo 3: LLM extraction with webhook notification (NEW in v0.7.6!)."""
+    print("\n" + "="*70)
+    print("DEMO 3: LLM Extraction - Webhook Notification Only (NEW!)")
+    print("="*70)
+    print("Submitting LLM extraction job with webhook notification...")
+
+    payload = {
+        "url": "https://www.example.com",
+        "q": "Extract the main heading and description from this page",
+        "provider": "openai/gpt-4o-mini",
+        "cache": False,
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": False,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "llm"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/llm/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will notify when LLM extraction completes...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_4_llm_webhook_with_schema():
+    """Demo 4: LLM extraction with JSON schema and data in webhook (NEW in v0.7.6!)."""
+    print("\n" + "="*70)
+    print("DEMO 4: LLM Extraction - Schema + Full Data in Webhook (NEW!)")
+    print("="*70)
+    print("Submitting LLM extraction with JSON schema...")
+
+    schema = {
+        "type": "object",
+        "properties": {
+            "title": {"type": "string", "description": "Page title"},
+            "description": {"type": "string", "description": "Page description"},
+            "main_topics": {
+                "type": "array",
+                "items": {"type": "string"},
+                "description": "Main topics covered"
+            }
+        },
+        "required": ["title"]
+    }
+
+    payload = {
+        "url": "https://www.python.org",
+        "q": "Extract the title, description, and main topics from this website",
+        "schema": json.dumps(schema),
+        "provider": "openai/gpt-4o-mini",
+        "cache": False,
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": True,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "llm-with-schema"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/llm/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will include structured extraction results...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_5_global_webhook_config():
+    """Demo 5: Using global webhook configuration from config.yml."""
+    print("\n" + "="*70)
+    print("DEMO 5: Global Webhook Configuration")
+    print("="*70)
+    print("💡 You can configure a default webhook URL in config.yml:")
+    print("""
+    webhooks:
+      enabled: true
+      default_url: "https://myapp.com/webhooks/default"
+      data_in_payload: false
+      retry:
+        max_attempts: 5
+        initial_delay_ms: 1000
+        max_delay_ms: 32000
+        timeout_ms: 30000
+    """)
+    print("Then submit jobs WITHOUT webhook_config - they'll use the default!")
+    print("This is useful for consistent webhook handling across all jobs.")
+
+
+def demo_6_webhook_retry_logic():
+    """Demo 6: Webhook retry mechanism with exponential backoff."""
+    print("\n" + "="*70)
+    print("DEMO 6: Webhook Retry Logic")
+    print("="*70)
+    print("🔄 Webhook delivery uses exponential backoff retry:")
+    print("   • Max attempts: 5")
+    print("   • Delays: 1s → 2s → 4s → 8s → 16s")
+    print("   • Timeout: 30s per attempt")
+    print("   • Retries on: 5xx errors, network errors, timeouts")
+    print("   • No retry on: 4xx client errors")
+    print("\nThis ensures reliable webhook delivery even with temporary failures!")
+
+
+def print_summary():
+    """Print demo summary and results."""
+    print("\n" + "="*70)
+    print("📊 DEMO SUMMARY")
+    print("="*70)
+    print(f"Total webhooks received: {len(received_webhooks)}")
+
+    crawl_webhooks = [w for w in received_webhooks if w['task_type'] == 'crawl']
+    llm_webhooks = [w for w in received_webhooks if w['task_type'] == 'llm_extraction']
+
+    print(f"\nBreakdown:")
+    print(f"  🕷️  Crawl jobs: {len(crawl_webhooks)}")
+    print(f"  🤖 LLM extraction jobs: {len(llm_webhooks)}")
+
+    print(f"\nDetails:")
+    for i, webhook in enumerate(received_webhooks, 1):
+        icon = "🕷️" if webhook['task_type'] == 'crawl' else "🤖"
+        print(f"  {i}. {icon} {webhook['task_id']}: {webhook['status']}")
+
+    print("\n" + "="*70)
+    print("✨ v0.7.6 KEY FEATURES DEMONSTRATED:")
+    print("="*70)
+    print("✅ Webhook support for /crawl/job")
+    print("✅ Webhook support for /llm/job (NEW!)")
+    print("✅ Notification-only mode (fetch data separately)")
+    print("✅ Data-in-payload mode (get full results in webhook)")
+    print("✅ Custom headers for authentication")
+    print("✅ JSON schema for structured LLM extraction")
+    print("✅ Exponential backoff retry for reliable delivery")
+    print("✅ Global webhook configuration support")
+    print("✅ Universal webhook handler for both job types")
+    print("\n💡 Benefits:")
+    print("   • No more polling - get instant notifications")
+    print("   • Better resource utilization")
+    print("   • Reliable delivery with automatic retries")
+    print("   • Consistent API across crawl and LLM jobs")
+    print("   • Production-ready webhook infrastructure")
+
+
+def main():
+    """Run all demos."""
+    print("\n" + "="*70)
+    print("🚀 Crawl4AI v0.7.6 Release Demo")
+    print("="*70)
+    print("Feature: Webhook Support for Docker Job Queue API")
+    print("="*70)
+
+    # Check if server is running
+    try:
+        health = requests.get(f"{CRAWL4AI_BASE_URL}/health", timeout=5)
+        print(f"✅ Crawl4AI server is running")
+    except:
+        print(f"❌ Cannot connect to Crawl4AI at {CRAWL4AI_BASE_URL}")
+        print("Please start Docker container:")
+        print("  docker run -d -p 11235:11235 --env-file .llm.env unclecode/crawl4ai:0.7.6")
+        return
+
+    # Start webhook server
+    print(f"\n🌐 Starting webhook server at {WEBHOOK_BASE_URL}...")
+    webhook_thread = Thread(target=start_webhook_server, daemon=True)
+    webhook_thread.start()
+    time.sleep(2)
+
+    # Run demos
+    demo_1_crawl_webhook_notification_only()
+    time.sleep(5)
+
+    demo_2_crawl_webhook_with_data()
+    time.sleep(5)
+
+    demo_3_llm_webhook_notification_only()
+    time.sleep(5)
+
+    demo_4_llm_webhook_with_schema()
+    time.sleep(5)
+
+    demo_5_global_webhook_config()
+    demo_6_webhook_retry_logic()
+
+    # Wait for webhooks
+    print("\n⏳ Waiting for all webhooks to arrive...")
+    time.sleep(30)
+
+    # Print summary
+    print_summary()
+
+    print("\n" + "="*70)
+    print("✅ Demo completed!")
+    print("="*70)
+    print("\n📚 Documentation:")
+    print("   • deploy/docker/WEBHOOK_EXAMPLES.md")
+    print("   • docs/examples/docker_webhook_example.py")
+    print("\n🔗 Upgrade:")
+    print("   docker pull unclecode/crawl4ai:0.7.6")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

@@ -31,7 +31,7 @@ dependencies = [
     "rank-bm25~=0.2",
     "snowballstemmer~=2.2",
     "pydantic>=2.10",
-    "pyOpenSSL>=24.3.0",
+    "pyOpenSSL>=25.3.0",
     "psutil>=6.1.1",
     "PyYAML>=6.0",
     "nltk>=3.9.1",

requirements.txt

@@ -19,7 +19,7 @@ rank-bm25~=0.2
 colorama~=0.4
 snowballstemmer~=2.2
 pydantic>=2.10
-pyOpenSSL>=24.3.0
+pyOpenSSL>=25.3.0
 psutil>=6.1.1
 PyYAML>=6.0
 nltk>=3.9.1

tests/browser/smoke_test_cdp.py

@@ -0,0 +1,165 @@
+#!/usr/bin/env python3
+"""
+Simple smoke test for CDP concurrency fixes.
+This can be run without pytest to quickly validate the changes.
+"""
+
+import asyncio
+import sys
+import os
+
+# Add the project root to Python path
+sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
+
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+
+
+async def test_basic_cdp():
+    """Basic test that CDP browser works"""
+    print("Test 1: Basic CDP browser test...")
+    
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    try:
+        async with AsyncWebCrawler(config=browser_config) as crawler:
+            result = await crawler.arun(
+                url="https://example.com",
+                config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+            )
+            assert result.success, f"Failed: {result.error_message}"
+            assert len(result.html) > 0, "Empty HTML"
+            print("  ✓ Basic CDP test passed")
+            return True
+    except Exception as e:
+        print(f"  ✗ Basic CDP test failed: {e}")
+        return False
+
+
+async def test_arun_many_cdp():
+    """Test arun_many with CDP browser - the key concurrency fix"""
+    print("\nTest 2: arun_many with CDP browser...")
+    
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    urls = [
+        "https://example.com",
+        "https://httpbin.org/html",
+        "https://www.example.org",
+    ]
+    
+    try:
+        async with AsyncWebCrawler(config=browser_config) as crawler:
+            results = await crawler.arun_many(
+                urls=urls,
+                config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+            )
+            
+            assert len(results) == len(urls), f"Expected {len(urls)} results, got {len(results)}"
+            
+            success_count = sum(1 for r in results if r.success)
+            print(f"  ✓ Crawled {success_count}/{len(urls)} URLs successfully")
+            
+            if success_count >= len(urls) * 0.8:  # Allow 20% failure for network issues
+                print("  ✓ arun_many CDP test passed")
+                return True
+            else:
+                print(f"  ✗ Too many failures: {len(urls) - success_count}/{len(urls)}")
+                return False
+                
+    except Exception as e:
+        print(f"  ✗ arun_many CDP test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+
+async def test_concurrent_arun_many():
+    """Test concurrent arun_many calls - stress test for page lock"""
+    print("\nTest 3: Concurrent arun_many calls...")
+    
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    try:
+        async with AsyncWebCrawler(config=browser_config) as crawler:
+            # Run two arun_many calls concurrently
+            task1 = crawler.arun_many(
+                urls=["https://example.com", "https://httpbin.org/html"],
+                config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+            )
+            
+            task2 = crawler.arun_many(
+                urls=["https://www.example.org", "https://example.com"],
+                config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+            )
+            
+            results1, results2 = await asyncio.gather(task1, task2, return_exceptions=True)
+            
+            # Check for exceptions
+            if isinstance(results1, Exception):
+                print(f"  ✗ Task 1 raised exception: {results1}")
+                return False
+            if isinstance(results2, Exception):
+                print(f"  ✗ Task 2 raised exception: {results2}")
+                return False
+            
+            total_success = sum(1 for r in results1 if r.success) + sum(1 for r in results2 if r.success)
+            total_requests = len(results1) + len(results2)
+            
+            print(f"  ✓ {total_success}/{total_requests} concurrent requests succeeded")
+            
+            if total_success >= total_requests * 0.7:  # Allow 30% failure for concurrent stress
+                print("  ✓ Concurrent arun_many test passed")
+                return True
+            else:
+                print(f"  ✗ Too many concurrent failures")
+                return False
+                
+    except Exception as e:
+        print(f"  ✗ Concurrent test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+
+async def main():
+    """Run all smoke tests"""
+    print("=" * 60)
+    print("CDP Concurrency Smoke Tests")
+    print("=" * 60)
+    
+    results = []
+    
+    # Run tests sequentially
+    results.append(await test_basic_cdp())
+    results.append(await test_arun_many_cdp())
+    results.append(await test_concurrent_arun_many())
+    
+    print("\n" + "=" * 60)
+    passed = sum(results)
+    total = len(results)
+    
+    if passed == total:
+        print(f"✓ All {total} smoke tests passed!")
+        print("=" * 60)
+        return 0
+    else:
+        print(f"✗ {total - passed}/{total} smoke tests failed")
+        print("=" * 60)
+        return 1
+
+
+if __name__ == "__main__":
+    exit_code = asyncio.run(main())
+    sys.exit(exit_code)

tests/browser/test_cdp_concurrency.py

@@ -0,0 +1,282 @@
+"""
+Test CDP browser concurrency with arun_many.
+
+This test suite validates that the fixes for concurrent page creation
+in managed browsers (CDP mode) work correctly, particularly:
+1. Always creating new pages instead of reusing
+2. Page lock serialization prevents race conditions
+3. Multiple concurrent arun_many calls work correctly
+"""
+
+# Standard library imports
+import asyncio
+import os
+import sys
+
+# Third-party imports
+import pytest
+
+# Add the project root to Python path
+sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../..')))
+
+# Local imports
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CacheMode, CrawlerRunConfig
+
+
+@pytest.mark.asyncio
+async def test_cdp_concurrent_arun_many_basic():
+    """
+    Test basic concurrent arun_many with CDP browser.
+    This tests the fix for always creating new pages.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    urls = [
+        "https://example.com",
+        "https://www.python.org",
+        "https://httpbin.org/html",
+    ]
+    
+    config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        # Run arun_many - should create new pages for each URL
+        results = await crawler.arun_many(urls=urls, config=config)
+        
+        # Verify all URLs were crawled successfully
+        assert len(results) == len(urls), f"Expected {len(urls)} results, got {len(results)}"
+        
+        for i, result in enumerate(results):
+            assert result is not None, f"Result {i} is None"
+            assert result.success, f"Result {i} failed: {result.error_message}"
+            assert result.status_code == 200, f"Result {i} has status {result.status_code}"
+            assert len(result.html) > 0, f"Result {i} has empty HTML"
+
+
+@pytest.mark.asyncio
+async def test_cdp_multiple_sequential_arun_many():
+    """
+    Test multiple sequential arun_many calls with CDP browser.
+    Each call should work correctly without interference.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    urls_batch1 = [
+        "https://example.com",
+        "https://httpbin.org/html",
+    ]
+    
+    urls_batch2 = [
+        "https://www.python.org",
+        "https://example.org",
+    ]
+    
+    config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        # First batch
+        results1 = await crawler.arun_many(urls=urls_batch1, config=config)
+        assert len(results1) == len(urls_batch1)
+        for result in results1:
+            assert result.success, f"First batch failed: {result.error_message}"
+            
+        # Second batch - should work without issues
+        results2 = await crawler.arun_many(urls=urls_batch2, config=config)
+        assert len(results2) == len(urls_batch2)
+        for result in results2:
+            assert result.success, f"Second batch failed: {result.error_message}"
+
+
+@pytest.mark.asyncio
+async def test_cdp_concurrent_arun_many_stress():
+    """
+    Stress test: Multiple concurrent arun_many calls with CDP browser.
+    This is the key test for the concurrency fix - ensures page lock works.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    # Create multiple batches of URLs
+    num_batches = 3
+    urls_per_batch = 3
+    
+    batches = [
+        [f"https://httpbin.org/delay/{i}?batch={batch}" 
+         for i in range(urls_per_batch)]
+        for batch in range(num_batches)
+    ]
+    
+    config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        # Run multiple arun_many calls concurrently
+        tasks = [
+            crawler.arun_many(urls=batch, config=config)
+            for batch in batches
+        ]
+        
+        # Execute all batches in parallel
+        all_results = await asyncio.gather(*tasks, return_exceptions=True)
+        
+        # Verify no exceptions occurred
+        for i, results in enumerate(all_results):
+            assert not isinstance(results, Exception), f"Batch {i} raised exception: {results}"
+            assert len(results) == urls_per_batch, f"Batch {i}: expected {urls_per_batch} results, got {len(results)}"
+            
+            # Verify each result
+            for j, result in enumerate(results):
+                assert result is not None, f"Batch {i}, result {j} is None"
+                # Some may fail due to network/timing, but should not crash
+                if result.success:
+                    assert len(result.html) > 0, f"Batch {i}, result {j} has empty HTML"
+
+
+@pytest.mark.asyncio
+async def test_cdp_page_isolation():
+    """
+    Test that pages are properly isolated - changes to one don't affect another.
+    This validates that we're creating truly independent pages.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    url = "https://example.com"
+    
+    # Use different JS codes to verify isolation
+    config1 = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        js_code="document.body.setAttribute('data-test', 'page1');"
+    )
+    
+    config2 = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        js_code="document.body.setAttribute('data-test', 'page2');"
+    )
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        # Run both configs concurrently
+        results = await crawler.arun_many(
+            urls=[url, url],
+            configs=[config1, config2]
+        )
+        
+        assert len(results) == 2
+        assert results[0].success and results[1].success
+        
+        # Both should succeed with their own modifications
+        # (We can't directly check the data-test attribute, but success indicates isolation)
+        assert 'Example Domain' in results[0].html
+        assert 'Example Domain' in results[1].html
+
+
+@pytest.mark.asyncio
+async def test_cdp_with_different_viewport_sizes():
+    """
+    Test concurrent crawling with different viewport configurations.
+    Ensures context/page creation handles different configs correctly.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    url = "https://example.com"
+    
+    # Different viewport sizes (though in CDP mode these may be limited)
+    configs = [
+        CrawlerRunConfig(cache_mode=CacheMode.BYPASS),
+        CrawlerRunConfig(cache_mode=CacheMode.BYPASS),
+        CrawlerRunConfig(cache_mode=CacheMode.BYPASS),
+    ]
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        results = await crawler.arun_many(
+            urls=[url] * len(configs),
+            configs=configs
+        )
+        
+        assert len(results) == len(configs)
+        for i, result in enumerate(results):
+            assert result.success, f"Config {i} failed: {result.error_message}"
+            assert len(result.html) > 0
+
+
+@pytest.mark.asyncio
+async def test_cdp_error_handling_concurrent():
+    """
+    Test that errors in one concurrent request don't affect others.
+    This ensures proper isolation and error handling.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    urls = [
+        "https://example.com",  # Valid
+        "https://this-domain-definitely-does-not-exist-12345.com",  # Invalid
+        "https://httpbin.org/html",  # Valid
+    ]
+    
+    config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        results = await crawler.arun_many(urls=urls, config=config)
+        
+        assert len(results) == len(urls)
+        
+        # First and third should succeed
+        assert results[0].success, "First URL should succeed"
+        assert results[2].success, "Third URL should succeed"
+        
+        # Second may fail (invalid domain)
+        # But its failure shouldn't affect the others
+
+
+@pytest.mark.asyncio
+async def test_cdp_large_batch():
+    """
+    Test handling a larger batch of URLs to ensure scalability.
+    """
+    browser_config = BrowserConfig(
+        use_managed_browser=True,
+        headless=True,
+        verbose=False
+    )
+    
+    # Create 10 URLs
+    num_urls = 10
+    urls = [f"https://httpbin.org/delay/0?id={i}" for i in range(num_urls)]
+    
+    config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        results = await crawler.arun_many(urls=urls, config=config)
+        
+        assert len(results) == num_urls
+        
+        # Count successes
+        successes = sum(1 for r in results if r.success)
+        # Allow some failures due to network issues, but most should succeed
+        assert successes >= num_urls * 0.8, f"Only {successes}/{num_urls} succeeded"
+
+
+if __name__ == "__main__":
+    # Run tests with pytest
+    pytest.main([__file__, "-v", "-s"])

tests/general/test_async_crawler_strategy.py

@@ -364,5 +364,19 @@ 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"])

tests/test_pyopenssl_security_fix.py

@@ -0,0 +1,168 @@
+"""
+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)

tests/test_pyopenssl_update.py

@@ -0,0 +1,184 @@
+"""
+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)