Update README.md

In the comprehensive example,

AttributeError: type object 'CacheMode' has no attribute 'ENABLE'. Did you mean: 'ENABLED'?

MANIFEST.in

@@ -1 +1,2 @@
 include requirements.txt
+recursive-include crawl4ai/js_snippet *.js

README.md

@@ -1,4 +1,4 @@
-# 🚀🤖 Crawl4AI: Crawl Smarter, Faster, Freely. For AI.
+# 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper.
 
 <a href="https://trendshift.io/repositories/11716" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11716" alt="unclecode%2Fcrawl4ai | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 

crawl4ai/__version__.py

@@ -1,2 +1,2 @@
 # crawl4ai/_version.py
-__version__ = "0.4.2"
+__version__ = "0.4.22"

crawl4ai/async_configs.py

@@ -7,6 +7,7 @@ from .config import (
 from .user_agent_generator import UserAgentGenerator
 from .extraction_strategy import ExtractionStrategy
 from .chunking_strategy import ChunkingStrategy
+from .markdown_generation_strategy import MarkdownGenerationStrategy
 
 class BrowserConfig:
     """
@@ -269,6 +270,7 @@ class CrawlerRunConfig:
         word_count_threshold: int =  MIN_WORD_THRESHOLD ,
         extraction_strategy : ExtractionStrategy=None,  # Will default to NoExtractionStrategy if None
         chunking_strategy : ChunkingStrategy= None,    # Will default to RegexChunking if None
+        markdown_generator : MarkdownGenerationStrategy = None,
         content_filter=None,
         cache_mode=None,
         session_id: str = None,
@@ -309,6 +311,7 @@ class CrawlerRunConfig:
         self.word_count_threshold = word_count_threshold
         self.extraction_strategy = extraction_strategy
         self.chunking_strategy = chunking_strategy
+        self.markdown_generator = markdown_generator
         self.content_filter = content_filter
         self.cache_mode = cache_mode
         self.session_id = session_id
@@ -364,6 +367,7 @@ class CrawlerRunConfig:
             word_count_threshold=kwargs.get("word_count_threshold", 200),
             extraction_strategy=kwargs.get("extraction_strategy"),
             chunking_strategy=kwargs.get("chunking_strategy"),
+            markdown_generator=kwargs.get("markdown_generator"),
             content_filter=kwargs.get("content_filter"),
             cache_mode=kwargs.get("cache_mode"),
             session_id=kwargs.get("session_id"),

crawl4ai/async_webcrawler.py

@@ -7,7 +7,8 @@ from pathlib import Path
 from typing import Optional, List, Union
 import json
 import asyncio
-from contextlib import nullcontext, asynccontextmanager
+# from contextlib import nullcontext, asynccontextmanager
+from contextlib import asynccontextmanager
 from .models import CrawlResult, MarkdownGenerationResult
 from .async_database import async_db_manager
 from .chunking_strategy import *
@@ -15,6 +16,7 @@ from .content_filter_strategy import *
 from .extraction_strategy import *
 from .async_crawler_strategy import AsyncCrawlerStrategy, AsyncPlaywrightCrawlerStrategy, AsyncCrawlResponse
 from .cache_context import CacheMode, CacheContext, _legacy_to_cache_mode
+from .markdown_generation_strategy import DefaultMarkdownGenerator, MarkdownGenerationStrategy
 from .content_scraping_strategy import WebScrapingStrategy
 from .async_logger import AsyncLogger
 from .async_configs import BrowserConfig, CrawlerRunConfig
@@ -133,16 +135,11 @@ class AsyncWebCrawler:
     async def __aexit__(self, exc_type, exc_val, exc_tb):
         await self.crawler_strategy.__aexit__(exc_type, exc_val, exc_tb)
     
-    @asynccontextmanager
-    async def nullcontext(self):
-        yield
-    
     async def awarmup(self):
         """Initialize the crawler with warm-up sequence."""
         self.logger.info(f"Crawl4AI {crawl4ai_version}", tag="INIT")
         self.ready = True
 
-
     @asynccontextmanager
     async def nullcontext(self):
         """异步空上下文管理器"""
@@ -323,7 +320,8 @@ class AsyncWebCrawler:
                         config=config,  # Pass the config object instead of individual parameters
                         screenshot=screenshot_data,
                         pdf_data=pdf_data,
-                        verbose=config.verbose
+                        verbose=config.verbose,
+                        **kwargs
                     )
 
                     # Set response data
@@ -424,7 +422,8 @@ class AsyncWebCrawler:
                     css_selector=config.css_selector,
                     only_text=config.only_text,
                     image_description_min_word_threshold=config.image_description_min_word_threshold,
-                    content_filter=config.content_filter
+                    content_filter=config.content_filter,
+                    **kwargs
                 )
 
                 if result is None:
@@ -435,16 +434,29 @@ class AsyncWebCrawler:
             except Exception as e:
                 raise ValueError(f"Process HTML, Failed to extract content from the website: {url}, error: {str(e)}")
 
+       
+
             # Extract results
-            markdown_v2 = result.get("markdown_v2", None)
             cleaned_html = sanitize_input_encode(result.get("cleaned_html", ""))
-            markdown = sanitize_input_encode(result.get("markdown", ""))
             fit_markdown = sanitize_input_encode(result.get("fit_markdown", ""))
             fit_html = sanitize_input_encode(result.get("fit_html", ""))
             media = result.get("media", [])
             links = result.get("links", [])
             metadata = result.get("metadata", {})
 
+            # Markdown Generation
+            markdown_generator: Optional[MarkdownGenerationStrategy] = config.markdown_generator or DefaultMarkdownGenerator()
+            if not config.content_filter and not markdown_generator.content_filter:
+                markdown_generator.content_filter = PruningContentFilter()
+            
+            markdown_result: MarkdownGenerationResult = markdown_generator.generate_markdown(
+                cleaned_html=cleaned_html,
+                base_url=url,
+                # html2text_options=kwargs.get('html2text', {})
+            )
+            markdown_v2 = markdown_result
+            markdown = sanitize_input_encode(markdown_result.raw_markdown)
+
             # Log processing completion
             self.logger.info(
                 message="Processed {url:.50}... | Time: {timing}ms",

crawl4ai/content_scraping_strategy.py

@@ -602,16 +602,16 @@ class WebScrapingStrategy(ContentScrapingStrategy):
 
         cleaned_html = str_body.replace('\n\n', '\n').replace('  ', ' ')
 
-        markdown_content = self._generate_markdown_content(
-            cleaned_html=cleaned_html,
-            html=html,
-            url=url,
-            success=success,
-            **kwargs
-        )
+        # markdown_content = self._generate_markdown_content(
+        #     cleaned_html=cleaned_html,
+        #     html=html,
+        #     url=url,
+        #     success=success,
+        #     **kwargs
+        # )
         
         return {
-            **markdown_content,
+            # **markdown_content,
             'cleaned_html': cleaned_html,
             'success': success,
             'media': media,

docs/examples/llm_extraction_openai_pricing.py

@@ -1,23 +1,21 @@
-import os
-import time
-from crawl4ai.web_crawler import WebCrawler
-from crawl4ai.chunking_strategy import *
 from crawl4ai.extraction_strategy import *
 from crawl4ai.crawler_strategy import *
+import asyncio
+from pydantic import BaseModel, Field
 
 url = r'https://openai.com/api/pricing/'
 
-crawler = WebCrawler()
-crawler.warmup()
-
-from pydantic import BaseModel, Field
-
 class OpenAIModelFee(BaseModel):
     model_name: str = Field(..., description="Name of the OpenAI model.")
     input_fee: str = Field(..., description="Fee for input token for the OpenAI model.")
     output_fee: str = Field(..., description="Fee for output token for the OpenAI model.")
 
-result = crawler.run(
+from crawl4ai import AsyncWebCrawler
+
+async def main():
+    # Use AsyncWebCrawler
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
             url=url,
             word_count_threshold=1,
             extraction_strategy= LLMExtractionStrategy(
@@ -30,12 +28,13 @@ result = crawler.run(
                             'One extracted model JSON format should look like this: ' \
                             '{ "model_name": "GPT-4", "input_fee": "US$10.00 / 1M tokens", "output_fee": "US$30.00 / 1M tokens" }'
             ),
-    bypass_cache=True,
+
         )
-
+        print("Success:", result.success)
         model_fees = json.loads(result.extracted_content)
-
         print(len(model_fees))
 
         with open(".data/data.json", "w", encoding="utf-8") as f:
             f.write(result.extracted_content)
+
+asyncio.run(main())

docs/examples/quickstart_async.config.py

@@ -142,6 +142,7 @@ async def extract_structured_data_using_llm(provider: str, api_token: str = None
     crawler_config = CrawlerRunConfig(
         cache_mode=CacheMode.BYPASS,
         word_count_threshold=1,
+        page_timeout = 80000,
         extraction_strategy=LLMExtractionStrategy(
             provider=provider,
             api_token=api_token,
@@ -497,21 +498,21 @@ async def main():
     
     # Advanced examples
     # await extract_structured_data_using_css_extractor()
-    # await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
+    await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
     # await crawl_dynamic_content_pages_method_1()
     # await crawl_dynamic_content_pages_method_2()
     
     # Browser comparisons
-    await crawl_custom_browser_type()
+    # await crawl_custom_browser_type()
     
     # Performance testing
     # await speed_comparison()
 
     # Screenshot example
-    await capture_and_save_screenshot(
-        "https://www.example.com",
-        os.path.join(__location__, "tmp/example_screenshot.jpg")
-    )
+    # await capture_and_save_screenshot(
+    #     "https://www.example.com",
+    #     os.path.join(__location__, "tmp/example_screenshot.jpg")
+    # )
 
 if __name__ == "__main__":
     asyncio.run(main())

docs/examples/quickstart_async.py

@@ -239,8 +239,10 @@ async def crawl_dynamic_content_pages_method_1():
         all_commits = []
 
         js_next_page = """
+        (() => {
             const button = document.querySelector('a[data-testid="pagination-next-button"]');
             if (button) button.click();
+        })();
         """
 
         for page in range(3):  # Crawl 3 pages
@@ -604,14 +606,14 @@ async def fit_markdown_remove_overlay():
 
 
 async def main():
-    await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
+    # await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
     
-    await simple_crawl()
-    await simple_example_with_running_js_code()
-    await simple_example_with_css_selector()
-    # await use_proxy()
-    await capture_and_save_screenshot("https://www.example.com", os.path.join(__location__, "tmp/example_screenshot.jpg"))
-    await extract_structured_data_using_css_extractor()
+    # await simple_crawl()
+    # await simple_example_with_running_js_code()
+    # await simple_example_with_css_selector()
+    # # await use_proxy()
+    # await capture_and_save_screenshot("https://www.example.com", os.path.join(__location__, "tmp/example_screenshot.jpg"))
+    # await extract_structured_data_using_css_extractor()
 
     # LLM extraction examples
     # await extract_structured_data_using_llm()

docs/md/demo.md

@@ -1,231 +0,0 @@
-# Interactive Demo for Crowler
-<div id="demo">
-    <form id="crawlForm" class="terminal-form">
-        <fieldset>
-            <legend>Enter URL and Options</legend>
-            <div class="form-group">
-                <label for="url">Enter URL:</label>
-                <input type="text" id="url" name="url" required>
-            </div>
-            <div class="form-group">
-                <label for="screenshot">Get Screenshot:</label>
-                <input type="checkbox" id="screenshot" name="screenshot">
-            </div>
-            <div class="form-group">
-                <button class="btn btn-default" type="submit">Submit</button>
-            </div>
-
-        </fieldset>
-    </form>
-
-    <div id="loading" class="loading-message">
-        <div class="terminal-alert terminal-alert-primary">Loading... Please wait.</div>
-    </div>
-
-    <section id="response" class="response-section">
-        <h2>Response</h2>
-        <div class="tabs">
-            <ul class="tab-list">
-                <li class="tab-item" onclick="showTab('markdown')">Markdown</li>
-                <li class="tab-item" onclick="showTab('cleanedHtml')">Cleaned HTML</li>
-                <li class="tab-item" onclick="showTab('media')">Media</li>
-                <li class="tab-item" onclick="showTab('extractedContent')">Extracted Content</li>
-                <li class="tab-item" onclick="showTab('screenshot')">Screenshot</li>
-                <li class="tab-item" onclick="showTab('pythonCode')">Python Code</li>
-            </ul>
-            <div class="tab-content" id="tab-markdown">
-                <header>
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="copyToClipboard('markdownContent')">Copy</button>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadContent('markdownContent', 'markdown.md')">Download</button>
-                    </div>
-                </header>
-                <pre><code id="markdownContent" class="language-markdown hljs"></code></pre>
-            </div>
-
-            <div class="tab-content" id="tab-cleanedHtml" style="display: none;">
-                <header >
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="copyToClipboard('cleanedHtmlContent')">Copy</button>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadContent('cleanedHtmlContent', 'cleaned.html')">Download</button>
-                    </div>
-                </header>
-                <pre><code id="cleanedHtmlContent" class="language-html hljs"></code></pre>
-            </div>
-
-            <div class="tab-content" id="tab-media" style="display: none;">
-                <header >
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="copyToClipboard('mediaContent')">Copy</button>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadContent('mediaContent', 'media.json')">Download</button>
-                    </div>
-                </header>
-                <pre><code id="mediaContent" class="language-json hljs"></code></pre>
-            </div>
-
-            <div class="tab-content" id="tab-extractedContent" style="display: none;">
-                <header >
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="copyToClipboard('extractedContentContent')">Copy</button>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadContent('extractedContentContent', 'extracted_content.json')">Download</button>
-                    </div>
-                </header>
-                <pre><code id="extractedContentContent" class="language-json hljs"></code></pre>
-            </div>
-
-            <div class="tab-content" id="tab-screenshot" style="display: none;">
-                <header >
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadImage('screenshotContent', 'screenshot.png')">Download</button>
-                    </div>
-                </header>
-                <pre><img id="screenshotContent" /></pre>
-            </div>
-
-            <div class="tab-content" id="tab-pythonCode" style="display: none;">
-                <header >
-                    <div>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="copyToClipboard('pythonCode')">Copy</button>
-                        <button class="btn btn-default btn-ghost btn-sm" onclick="downloadContent('pythonCode', 'example.py')">Download</button>
-                    </div>
-                </header>
-                <pre><code id="pythonCode" class="language-python hljs"></code></pre>
-            </div>
-        </div>
-    </section>
-
-    <div id="error" class="error-message" style="display: none; margin-top:1em;">
-        <div class="terminal-alert terminal-alert-error"></div>
-    </div>
-
-    <script>
-        function showTab(tabId) {
-            const tabs = document.querySelectorAll('.tab-content');
-            tabs.forEach(tab => tab.style.display = 'none');
-            document.getElementById(`tab-${tabId}`).style.display = 'block';
-        }
-
-        function redo(codeBlock, codeText){
-            codeBlock.classList.remove('hljs');
-            codeBlock.removeAttribute('data-highlighted');
-
-            // Set new code and re-highlight
-            codeBlock.textContent = codeText;
-            hljs.highlightBlock(codeBlock);
-        }
-
-        function copyToClipboard(elementId) {
-            const content = document.getElementById(elementId).textContent;
-            navigator.clipboard.writeText(content).then(() => {
-                alert('Copied to clipboard');
-            });
-        }
-
-        function downloadContent(elementId, filename) {
-            const content = document.getElementById(elementId).textContent;
-            const blob = new Blob([content], { type: 'text/plain' });
-            const url = window.URL.createObjectURL(blob);
-            const a = document.createElement('a');
-            a.style.display = 'none';
-            a.href = url;
-            a.download = filename;
-            document.body.appendChild(a);
-            a.click();
-            window.URL.revokeObjectURL(url);
-            document.body.removeChild(a);
-        }
-
-        function downloadImage(elementId, filename) {
-            const content = document.getElementById(elementId).src;
-            const a = document.createElement('a');
-            a.style.display = 'none';
-            a.href = content;
-            a.download = filename;
-            document.body.appendChild(a);
-            a.click();
-            document.body.removeChild(a);
-        }
-
-        document.getElementById('crawlForm').addEventListener('submit', function(event) {
-            event.preventDefault();
-            document.getElementById('loading').style.display = 'block';
-            document.getElementById('response').style.display = 'none';
-
-            const url = document.getElementById('url').value;
-            const screenshot = document.getElementById('screenshot').checked;
-            const data = {
-                urls: [url],
-                bypass_cache: false,
-                word_count_threshold: 5,
-                screenshot: screenshot
-            };
-
-            fetch('https://crawl4ai.com/crawl', {
-                method: 'POST',
-                headers: {
-                    'Content-Type': 'application/json'
-                },
-                body: JSON.stringify(data)
-            })
-            .then(response => {
-                if (!response.ok) {
-                    if (response.status === 429) {
-                        return response.json().then(err => { 
-                            throw Object.assign(new Error('Rate limit exceeded'), { status: 429, details: err });
-                        });
-                    }
-                    throw new Error('Network response was not ok');
-                }
-                return response.json();
-            })
-            .then(data => {
-                data = data.results[0]; // Only one URL is requested
-                document.getElementById('loading').style.display = 'none';
-                document.getElementById('response').style.display = 'block';
-                redo(document.getElementById('markdownContent'), data.markdown);
-                redo(document.getElementById('cleanedHtmlContent'), data.cleaned_html);
-                redo(document.getElementById('mediaContent'), JSON.stringify(data.media, null, 2));
-                redo(document.getElementById('extractedContentContent'), data.extracted_content);
-                if (screenshot) {
-                    document.getElementById('screenshotContent').src = `data:image/png;base64,${data.screenshot}`;
-                }
-                const pythonCode = `
-from crawl4ai.web_crawler import WebCrawler
-
-crawler = WebCrawler()
-crawler.warmup()
-
-result = crawler.run(
-    url='${url}',
-    screenshot=${screenshot}
-)
-print(result)
-                `;
-                redo(document.getElementById('pythonCode'), pythonCode);
-                document.getElementById('error').style.display = 'none';
-            })
-            .catch(error => {
-                document.getElementById('loading').style.display = 'none';
-                document.getElementById('error').style.display = 'block';
-                let errorMessage = 'An unexpected error occurred. Please try again later.';
-                
-                if (error.status === 429) {
-                    const details = error.details;
-                    if (details.retry_after) {
-                        errorMessage = `Rate limit exceeded. Please wait ${parseFloat(details.retry_after).toFixed(1)} seconds before trying again.`;
-                    } else if (details.reset_at) {
-                        const resetTime = new Date(details.reset_at);
-                        const waitTime = Math.ceil((resetTime - new Date()) / 1000);
-                        errorMessage = `Rate limit exceeded. Please try again after ${waitTime} seconds.`;
-                    } else {
-                        errorMessage = `Rate limit exceeded. Please try again later.`;
-                    }
-                } else if (error.message) {
-                    errorMessage = error.message;
-                }
-                
-                document.querySelector('#error .terminal-alert').textContent = errorMessage;
-            });
-        });
-    </script>
-</div>

docs/md_v2/basic/simple-crawling.md

@@ -99,7 +99,7 @@ async def main():
             remove_overlay_elements=True,
             
             # Cache control
-            cache_mode=CacheMode.ENABLE  # Use cache if available
+            cache_mode=CacheMode.ENABLED  # Use cache if available
         )
         
         if result.success:

main.py

@@ -380,97 +380,97 @@ def read_root():
     return {"message": "Crawl4AI API service is running"}
 
 
-# @app.post("/crawl", dependencies=[Depends(verify_token)])
-# async def crawl(request: CrawlRequest) -> Dict[str, str]:
-#     task_id = await crawler_service.submit_task(request)
-#     return {"task_id": task_id}
+@app.post("/crawl", dependencies=[Depends(verify_token)])
+async def crawl(request: CrawlRequest) -> Dict[str, str]:
+    task_id = await crawler_service.submit_task(request)
+    return {"task_id": task_id}
 
-# @app.get("/task/{task_id}", dependencies=[Depends(verify_token)])
-# async def get_task_status(task_id: str):
-#     task_info = crawler_service.task_manager.get_task(task_id)
-#     if not task_info:
-#         raise HTTPException(status_code=404, detail="Task not found")
+@app.get("/task/{task_id}", dependencies=[Depends(verify_token)])
+async def get_task_status(task_id: str):
+    task_info = crawler_service.task_manager.get_task(task_id)
+    if not task_info:
+        raise HTTPException(status_code=404, detail="Task not found")
 
-#     response = {
-#         "status": task_info.status,
-#         "created_at": task_info.created_at,
-#     }
+    response = {
+        "status": task_info.status,
+        "created_at": task_info.created_at,
+    }
 
-#     if task_info.status == TaskStatus.COMPLETED:
-#         # Convert CrawlResult to dict for JSON response
-#         if isinstance(task_info.result, list):
-#             response["results"] = [result.dict() for result in task_info.result]
-#         else:
-#             response["result"] = task_info.result.dict()
-#     elif task_info.status == TaskStatus.FAILED:
-#         response["error"] = task_info.error
+    if task_info.status == TaskStatus.COMPLETED:
+        # Convert CrawlResult to dict for JSON response
+        if isinstance(task_info.result, list):
+            response["results"] = [result.dict() for result in task_info.result]
+        else:
+            response["result"] = task_info.result.dict()
+    elif task_info.status == TaskStatus.FAILED:
+        response["error"] = task_info.error
 
-#     return response
+    return response
 
-# @app.post("/crawl_sync", dependencies=[Depends(verify_token)])
-# async def crawl_sync(request: CrawlRequest) -> Dict[str, Any]:
-#     task_id = await crawler_service.submit_task(request)
+@app.post("/crawl_sync", dependencies=[Depends(verify_token)])
+async def crawl_sync(request: CrawlRequest) -> Dict[str, Any]:
+    task_id = await crawler_service.submit_task(request)
     
-#     # Wait up to 60 seconds for task completion
-#     for _ in range(60):
-#         task_info = crawler_service.task_manager.get_task(task_id)
-#         if not task_info:
-#             raise HTTPException(status_code=404, detail="Task not found")
+    # Wait up to 60 seconds for task completion
+    for _ in range(60):
+        task_info = crawler_service.task_manager.get_task(task_id)
+        if not task_info:
+            raise HTTPException(status_code=404, detail="Task not found")
             
-#         if task_info.status == TaskStatus.COMPLETED:
-#             # Return same format as /task/{task_id} endpoint
-#             if isinstance(task_info.result, list):
-#                 return {"status": task_info.status, "results": [result.dict() for result in task_info.result]}
-#             return {"status": task_info.status, "result": task_info.result.dict()}
+        if task_info.status == TaskStatus.COMPLETED:
+            # Return same format as /task/{task_id} endpoint
+            if isinstance(task_info.result, list):
+                return {"status": task_info.status, "results": [result.dict() for result in task_info.result]}
+            return {"status": task_info.status, "result": task_info.result.dict()}
             
-#         if task_info.status == TaskStatus.FAILED:
-#             raise HTTPException(status_code=500, detail=task_info.error)
+        if task_info.status == TaskStatus.FAILED:
+            raise HTTPException(status_code=500, detail=task_info.error)
             
-#         await asyncio.sleep(1)
+        await asyncio.sleep(1)
     
-#     # If we get here, task didn't complete within timeout
-#     raise HTTPException(status_code=408, detail="Task timed out")
+    # If we get here, task didn't complete within timeout
+    raise HTTPException(status_code=408, detail="Task timed out")
 
-# @app.post("/crawl_direct", dependencies=[Depends(verify_token)])
-# async def crawl_direct(request: CrawlRequest) -> Dict[str, Any]:
-#     try:
-#         crawler = await crawler_service.crawler_pool.acquire(**request.crawler_params)
-#         extraction_strategy = crawler_service._create_extraction_strategy(request.extraction_config)
+@app.post("/crawl_direct", dependencies=[Depends(verify_token)])
+async def crawl_direct(request: CrawlRequest) -> Dict[str, Any]:
+    try:
+        crawler = await crawler_service.crawler_pool.acquire(**request.crawler_params)
+        extraction_strategy = crawler_service._create_extraction_strategy(request.extraction_config)
         
-#         try:
-#             if isinstance(request.urls, list):
-#                 results = await crawler.arun_many(
-#                     urls=[str(url) for url in request.urls],
-#                     extraction_strategy=extraction_strategy,
-#                     js_code=request.js_code,
-#                     wait_for=request.wait_for,
-#                     css_selector=request.css_selector,
-#                     screenshot=request.screenshot,
-#                     magic=request.magic,
-#                     cache_mode=request.cache_mode,
-#                     session_id=request.session_id,
-#                     **request.extra,
-#                 )
-#                 return {"results": [result.dict() for result in results]}
-#             else:
-#                 result = await crawler.arun(
-#                     url=str(request.urls),
-#                     extraction_strategy=extraction_strategy,
-#                     js_code=request.js_code,
-#                     wait_for=request.wait_for,
-#                     css_selector=request.css_selector,
-#                     screenshot=request.screenshot,
-#                     magic=request.magic,
-#                     cache_mode=request.cache_mode,
-#                     session_id=request.session_id,
-#                     **request.extra,
-#                 )
-#                 return {"result": result.dict()}
-#         finally:
-#             await crawler_service.crawler_pool.release(crawler)
-#     except Exception as e:
-#         logger.error(f"Error in direct crawl: {str(e)}")
-#         raise HTTPException(status_code=500, detail=str(e))
+        try:
+            if isinstance(request.urls, list):
+                results = await crawler.arun_many(
+                    urls=[str(url) for url in request.urls],
+                    extraction_strategy=extraction_strategy,
+                    js_code=request.js_code,
+                    wait_for=request.wait_for,
+                    css_selector=request.css_selector,
+                    screenshot=request.screenshot,
+                    magic=request.magic,
+                    cache_mode=request.cache_mode,
+                    session_id=request.session_id,
+                    **request.extra,
+                )
+                return {"results": [result.dict() for result in results]}
+            else:
+                result = await crawler.arun(
+                    url=str(request.urls),
+                    extraction_strategy=extraction_strategy,
+                    js_code=request.js_code,
+                    wait_for=request.wait_for,
+                    css_selector=request.css_selector,
+                    screenshot=request.screenshot,
+                    magic=request.magic,
+                    cache_mode=request.cache_mode,
+                    session_id=request.session_id,
+                    **request.extra,
+                )
+                return {"result": result.dict()}
+        finally:
+            await crawler_service.crawler_pool.release(crawler)
+    except Exception as e:
+        logger.error(f"Error in direct crawl: {str(e)}")
+        raise HTTPException(status_code=500, detail=str(e))
     
 @app.get("/health")
 async def health_check():

mkdocs.yml

@@ -8,7 +8,7 @@ docs_dir: docs/md_v2
 nav:
   - Home: 'index.md'
   - 'Installation': 'basic/installation.md'
-  - 'Docker Deployment': 'basic/docker-deploymeny.md'
+  - 'Docker Deplotment': 'basic/docker-deploymeny.md'
   - 'Quick Start': 'basic/quickstart.md'
   - Changelog & Blog:
     - 'Blog Home': 'blog/index.md'

setup.py

@@ -57,6 +57,9 @@ setup(
     author_email="unclecode@kidocode.com",
     license="MIT",
     packages=find_packages(),
+    package_data={
+        'crawl4ai': ['js_snippet/*.js']  # This matches the exact path structure
+    },
     install_requires=default_requirements
     + ["playwright", "aiofiles"],  # Added aiofiles
     extras_require={