feat: Add deep crawl capabilities to arun_many function

1. Make active_crawls into a dict instead of set and remove jobs array. Effective lookup and storage of active crawls and crawl control.
2. Put a lock on active_crawls, so similtanious push and pop by coroutines doesn't cause a race condition
3. Move the depth check logic outside the child link for loop, as source_url doesn't change in the loop.

.gitignore

@@ -234,3 +234,7 @@ todo/
 
 # windsurf rules
 .windsurfrules
+
+
+# windsurf rules
+.windsurfrules

crawl4ai/async_configs.py

@@ -10,6 +10,7 @@ from .config import (
 from .user_agent_generator import UserAgentGenerator, UAGen, ValidUAGenerator, OnlineUAGenerator
 from .extraction_strategy import ExtractionStrategy
 from .chunking_strategy import ChunkingStrategy, RegexChunking
+from .deep_crawl import DeepCrawlStrategy
 from .markdown_generation_strategy import MarkdownGenerationStrategy
 from .content_filter_strategy import RelevantContentFilter, BM25ContentFilter, LLMContentFilter, PruningContentFilter
 from .content_scraping_strategy import ContentScrapingStrategy, WebScrapingStrategy
@@ -395,6 +396,7 @@ class CrawlerRunConfig:
         word_count_threshold: int = MIN_WORD_THRESHOLD,
         extraction_strategy: ExtractionStrategy = None,
         chunking_strategy: ChunkingStrategy = RegexChunking(),
+        deep_crawl_strategy: DeepCrawlStrategy = None,
         markdown_generator: MarkdownGenerationStrategy = None,
         content_filter : RelevantContentFilter = None,
         only_text: bool = False,
@@ -468,6 +470,7 @@ class CrawlerRunConfig:
         self.word_count_threshold = word_count_threshold
         self.extraction_strategy = extraction_strategy
         self.chunking_strategy = chunking_strategy
+        self.deep_crawl_strategy = deep_crawl_strategy
         self.markdown_generator = markdown_generator
         self.content_filter = content_filter
         self.only_text = only_text
@@ -555,6 +558,14 @@ class CrawlerRunConfig:
             raise ValueError(
                 "extraction_strategy must be an instance of ExtractionStrategy"
             )
+        
+        if self.deep_crawl_strategy is not None and not isinstance(
+            self.deep_crawl_strategy, DeepCrawlStrategy
+        ):
+            raise ValueError(
+            "deep_crawl_strategy must be an instance of DeepCrawlStrategy"
+            )
+
         if self.chunking_strategy is not None and not isinstance(
             self.chunking_strategy, ChunkingStrategy
         ):
@@ -573,6 +584,7 @@ class CrawlerRunConfig:
             word_count_threshold=kwargs.get("word_count_threshold", 200),
             extraction_strategy=kwargs.get("extraction_strategy"),
             chunking_strategy=kwargs.get("chunking_strategy", RegexChunking()),
+            deep_crawl_strategy=kwargs.get("deep_crawl_strategy"),
             markdown_generator=kwargs.get("markdown_generator"),
             content_filter=kwargs.get("content_filter"),
             only_text=kwargs.get("only_text", False),
@@ -656,6 +668,7 @@ class CrawlerRunConfig:
             "word_count_threshold": self.word_count_threshold,
             "extraction_strategy": self.extraction_strategy,
             "chunking_strategy": self.chunking_strategy,
+            "deep_crawl_strategy": self.deep_crawl_strategy,
             "markdown_generator": self.markdown_generator,
             "content_filter": self.content_filter,
             "only_text": self.only_text,

crawl4ai/async_webcrawler.py

@@ -10,13 +10,19 @@ import asyncio
 
 # from contextlib import nullcontext, asynccontextmanager
 from contextlib import asynccontextmanager
-from .models import CrawlResult, MarkdownGenerationResult, CrawlerTaskResult, DispatchResult
+
+from .models import (
+    CrawlResult,
+    MarkdownGenerationResult,
+    CrawlerTaskResult,
+    DispatchResult,
+)
 from .async_database import async_db_manager
 from .chunking_strategy import *  # noqa: F403
 from .chunking_strategy import RegexChunking, ChunkingStrategy, IdentityChunking
 from .content_filter_strategy import *  # noqa: F403
 from .content_filter_strategy import RelevantContentFilter
-from .extraction_strategy import * # noqa: F403
+from .extraction_strategy import *  # noqa: F403
 from .extraction_strategy import NoExtractionStrategy, ExtractionStrategy
 from .async_crawler_strategy import (
     AsyncCrawlerStrategy,
@@ -30,8 +36,9 @@ from .markdown_generation_strategy import (
 )
 from .async_logger import AsyncLogger
 from .async_configs import BrowserConfig, CrawlerRunConfig
-from .async_dispatcher import * # noqa: F403
+from .async_dispatcher import *  # noqa: F403
 from .async_dispatcher import BaseDispatcher, MemoryAdaptiveDispatcher, RateLimiter
+from .deep_crawl import DeepCrawlStrategy
 
 from .config import MIN_WORD_THRESHOLD
 from .utils import (
@@ -46,11 +53,18 @@ from .utils import (
 from typing import Union, AsyncGenerator, List, TypeVar
 from collections.abc import AsyncGenerator
 
-CrawlResultT = TypeVar('CrawlResultT', bound=CrawlResult)
-RunManyReturn = Union[List[CrawlResultT], AsyncGenerator[CrawlResultT, None]]
 
 from .__version__ import __version__ as crawl4ai_version
 
+CrawlResultT = TypeVar("CrawlResultT", bound=CrawlResult)
+RunManyReturn = Union[List[CrawlResultT], AsyncGenerator[CrawlResultT, None]]
+
+DeepCrawlSingleReturn = Union[List[CrawlResultT], AsyncGenerator[CrawlResultT, None]]
+DeepCrawlManyReturn = Union[
+    List[List[CrawlResultT]],
+    AsyncGenerator[CrawlResultT, None],
+]
+
 
 class AsyncWebCrawler:
     """
@@ -257,7 +271,7 @@ class AsyncWebCrawler:
 
     @asynccontextmanager
     async def nullcontext(self):
-        """异步空上下文管理器"""
+        """Asynchronous null context manager"""
         yield
 
     async def arun(
@@ -282,7 +296,7 @@ class AsyncWebCrawler:
         user_agent: str = None,
         verbose=True,
         **kwargs,
-    ) -> CrawlResult:
+    ) -> Union[CrawlResult, DeepCrawlSingleReturn]:
         """
         Runs the crawler for a single source: URL (web, local file, or raw HTML).
 
@@ -384,6 +398,23 @@ class AsyncWebCrawler:
                 extracted_content = None
                 start_time = time.perf_counter()
 
+                if crawler_config.deep_crawl_strategy:
+                    if crawler_config.stream:
+                        return crawler_config.deep_crawl_strategy.arun(
+                            start_url=url,
+                            crawler=self,
+                            crawler_run_config=crawler_config,
+                        )
+                    else:
+                        results = []
+                        async for result in crawler_config.deep_crawl_strategy.arun(
+                            start_url=url,
+                            crawler=self,
+                            crawler_run_config=crawler_config,
+                        ):
+                            results.append(result)
+                        return results
+
                 # Try to get cached result if appropriate
                 if cache_context.should_read():
                     cached_result = await async_db_manager.aget_cached_url(url)
@@ -420,14 +451,18 @@ class AsyncWebCrawler:
 
                     # Check robots.txt if enabled
                     if config and config.check_robots_txt:
-                        if not await self.robots_parser.can_fetch(url, self.browser_config.user_agent):
+                        if not await self.robots_parser.can_fetch(
+                            url, self.browser_config.user_agent
+                        ):
                             return CrawlResult(
                                 url=url,
                                 html="",
                                 success=False,
                                 status_code=403,
                                 error_message="Access denied by robots.txt",
-                                response_headers={"X-Robots-Status": "Blocked by robots.txt"}
+                                response_headers={
+                                    "X-Robots-Status": "Blocked by robots.txt"
+                                },
                             )
 
                     # Pass config to crawl method
@@ -449,7 +484,7 @@ class AsyncWebCrawler:
                     )
 
                     # Process the HTML content
-                    crawl_result : CrawlResult = await self.aprocess_html(
+                    crawl_result: CrawlResult = await self.aprocess_html(
                         url=url,
                         html=html,
                         extracted_content=extracted_content,
@@ -717,7 +752,7 @@ class AsyncWebCrawler:
     async def arun_many(
         self,
         urls: List[str],
-        config: Optional[CrawlerRunConfig] = None, 
+        config: Optional[CrawlerRunConfig] = None,
         dispatcher: Optional[BaseDispatcher] = None,
         # Legacy parameters maintained for backwards compatibility
         word_count_threshold=MIN_WORD_THRESHOLD,
@@ -731,8 +766,8 @@ class AsyncWebCrawler:
         pdf: bool = False,
         user_agent: str = None,
         verbose=True,
-        **kwargs
-        ) -> RunManyReturn:
+        **kwargs,
+    ) -> Union[RunManyReturn, DeepCrawlManyReturn]:
         """
         Runs the crawler for multiple URLs concurrently using a configurable dispatcher strategy.
 
@@ -763,6 +798,22 @@ class AsyncWebCrawler:
         ):
             print(f"Processed {result.url}: {len(result.markdown)} chars")
         """
+
+        async def merge_async_generators(generators):
+            tasks = {asyncio.create_task(gen.__anext__()): gen for gen in generators}
+            while tasks:
+                done, _ = await asyncio.wait(tasks, return_when=asyncio.FIRST_COMPLETED)
+                
+                for task in done:
+                    gen = tasks.pop(task)  # Get the generator associated with this task
+                    
+                    try:
+                        result = task.result()
+                        yield result  # Yield the result
+                        tasks[asyncio.create_task(gen.__anext__())] = gen  # Fetch next item
+                    except StopAsyncIteration:
+                        pass  # Generator is exhausted, don't add it back to the tasks
+
         if config is None:
             config = CrawlerRunConfig(
                 word_count_threshold=word_count_threshold,
@@ -786,7 +837,9 @@ class AsyncWebCrawler:
             )
 
         transform_result = lambda task_result: (
-            setattr(task_result.result, 'dispatch_result', 
+            setattr(
+                task_result.result,
+                "dispatch_result",
                 DispatchResult(
                     task_id=task_result.task_id,
                     memory_usage=task_result.memory_usage,
@@ -794,20 +847,46 @@ class AsyncWebCrawler:
                     start_time=task_result.start_time,
                     end_time=task_result.end_time,
                     error_message=task_result.error_message,
-                )
-            ) or task_result.result
+                ),
+            )
+            or task_result.result
         )
 
         stream = config.stream
-        
+
+        if config.deep_crawl_strategy:
+            if config.stream:
+                generators = []
+                for url in urls:
+                    generators.append(
+                        config.deep_crawl_strategy.arun(
+                            start_url=url, crawler=self, crawler_run_config=config
+                        )
+                    )
+                return merge_async_generators(generators)
+            else:
+                results = []
+                for url in urls:
+                    url_results = []
+                    async for result in config.deep_crawl_strategy.arun(
+                        start_url=url, crawler=self, crawler_run_config=config
+                    ):
+                        url_results.append(result)
+                    results.append(url_results)
+                return results
+
         if stream:
+
             async def result_transformer():
-                async for task_result in dispatcher.run_urls_stream(crawler=self, urls=urls, config=config):
+                async for task_result in dispatcher.run_urls_stream(
+                    crawler=self, urls=urls, config=config
+                ):
                     yield transform_result(task_result)
+
             return result_transformer()
         else:
             _results = await dispatcher.run_urls(crawler=self, urls=urls, config=config)
-            return [transform_result(res) for res in _results]    
+            return [transform_result(res) for res in _results]
 
     async def aclear_cache(self):
         """Clear the cache database."""

crawl4ai/config.py

@@ -84,3 +84,4 @@ SHOW_DEPRECATION_WARNINGS = True
 SCREENSHOT_HEIGHT_TRESHOLD = 10000
 PAGE_TIMEOUT = 60000
 DOWNLOAD_PAGE_TIMEOUT = 60000
+DEEP_CRAWL_BATCH_SIZE = 5

crawl4ai/deep_crawl/__init__.py

@@ -0,0 +1,29 @@
+from .bfs_deep_crawl_strategy import BFSDeepCrawlStrategy
+from .filters import (
+    URLFilter,
+    FilterChain,
+    URLPatternFilter,
+    ContentTypeFilter,
+    DomainFilter,
+)
+from .scorers import (
+    KeywordRelevanceScorer,
+    PathDepthScorer,
+    FreshnessScorer,
+    CompositeScorer,
+)
+from .deep_crawl_strategty import DeepCrawlStrategy
+
+__all__ = [
+    "BFSDeepCrawlStrategy",
+    "FilterChain",
+    "URLFilter",
+    "URLPatternFilter",
+    "ContentTypeFilter",
+    "DomainFilter",
+    "KeywordRelevanceScorer",
+    "PathDepthScorer",
+    "FreshnessScorer",
+    "CompositeScorer",
+    "DeepCrawlStrategy",
+]

crawl4ai/deep_crawl/bfs_deep_crawl_strategy.py

@@ -0,0 +1,193 @@
+from typing import AsyncGenerator, Optional, Dict, Set, List
+from datetime import datetime
+import asyncio
+import logging
+from urllib.parse import urlparse
+from ..models import CrawlResult, TraversalStats
+from .filters import FilterChain
+from .scorers import URLScorer
+from .deep_crawl_strategty import DeepCrawlStrategy
+from ..config import DEEP_CRAWL_BATCH_SIZE
+
+
+class BFSDeepCrawlStrategy(DeepCrawlStrategy):
+    """Best-First Search traversal strategy with filtering and scoring."""
+
+    def __init__(
+        self,
+        max_depth: int,
+        filter_chain: FilterChain,
+        url_scorer: URLScorer,
+        process_external_links: bool = False,
+        logger: Optional[logging.Logger] = None,
+    ):
+        self.max_depth = max_depth
+        self.filter_chain = filter_chain
+        self.url_scorer = url_scorer
+        self.logger = logger or logging.getLogger(__name__)
+
+        # Crawl control
+        self.stats = TraversalStats(start_time=datetime.now())
+        self._cancel_event = asyncio.Event()
+        self.process_external_links = process_external_links
+
+    async def can_process_url(self, url: str, depth: int) -> bool:
+        """Check if URL can be processed based on filters
+        This is our gatekeeper method that determines if a URL should be processed. It:
+            - Validates URL format using a robust built-in method
+            - Applies custom filters from the filter chain
+            - Updates statistics for blocked URLs
+            - Returns False early if any check fails
+        """
+        try:
+            result = urlparse(url)
+            if not all([result.scheme, result.netloc]):
+                raise ValueError("Invalid URL")
+            if result.scheme not in ("http", "https"):
+                raise ValueError("URL must be HTTP or HTTPS")
+            if not result.netloc or "." not in result.netloc:
+                raise ValueError("Invalid domain")
+        except Exception as e:
+            self.logger.warning(f"Invalid URL: {url}. Error: {str(e)}")
+            return False
+
+        # Apply the filter chain if it's not start page
+        if depth != 0 and not self.filter_chain.apply(url):
+            return False
+
+        return True
+
+    async def _process_links(
+        self,
+        result: CrawlResult,
+        source_url: str,
+        queue: asyncio.PriorityQueue,
+        visited: Set[str],
+        depths: Dict[str, int],
+    ) -> List[str]:
+        """Process extracted links from crawl result.
+        This is our link processor that:
+            Checks depth limits
+            Handles both internal and external links
+            Checks if URL is visited already
+            Checks if URL can be processed - validates URL, applies Filters with can_process_url
+            Scores URLs for priority
+            Updates depth tracking dictionary
+            Adds valid URLs to the queue
+            Updates maximum depth statistics
+        """
+        next_depth = depths[source_url] + 1
+        # If depth limit reached, exit without processing links
+        if next_depth > self.max_depth:
+            return
+        links_to_process = result.links["internal"]
+        if self.process_external_links:
+            links_to_process += result.links["external"]
+        for link in links_to_process:
+            url = link["href"]
+            if url in visited:
+                continue
+            if not await self.can_process_url(url, next_depth):
+                self.stats.urls_skipped += 1
+                continue
+            score = self.url_scorer.score(url) if self.url_scorer else 0
+            await queue.put((score, next_depth, url, source_url))
+            depths[url] = next_depth
+            self.stats.total_depth_reached = max(
+                self.stats.total_depth_reached, next_depth
+            )
+
+    async def arun(
+        self,
+        start_url: str,
+        crawler: "AsyncWebCrawler",
+        crawler_run_config: Optional["CrawlerRunConfig"] = None,
+    ) -> AsyncGenerator[CrawlResult, None]:
+        """Implement BFS traversal strategy"""
+
+        # Initialize traversal state
+        """
+        queue: A priority queue where items are tuples of (score, depth, url)
+            Score: Determines traversal priority (lower = higher priority)
+            Depth: Current distance from start_url
+            URL: The actual URL to crawl
+            visited: Keeps track of URLs we've already seen to avoid cycles
+            depths: Maps URLs to their depths from the start URL
+            active_crawls: Tracks currently running crawl tasks        
+        """
+        queue = asyncio.PriorityQueue()
+        await queue.put((0, 0, start_url, None))
+        visited: Set[str] = set()
+        depths = {start_url: 0}
+        active_crawls = {}  # Track URLs currently being processed with depth and score
+        active_crawls_lock = (
+            asyncio.Lock()
+        )  # Create the lock within the same event loop
+        try:
+            while (
+                not queue.empty() or active_crawls
+            ) and not self._cancel_event.is_set():
+                """
+                This sets up our main control loop which:
+                    - Continues while there are URLs to process (not queue.empty())
+                    - Or while there are active crawls still running (arun_many)
+                    - Can be interrupted via cancellation (not self._cancel_event.is_set())
+                """
+                # Collect batch of URLs into active_crawls to process
+                async with active_crawls_lock:
+                    while (
+                        len(active_crawls) < DEEP_CRAWL_BATCH_SIZE and not queue.empty()
+                    ):
+                        score, depth, url, parent_url = await queue.get()
+                        active_crawls[url] = {
+                            "depth": depth,
+                            "score": score,
+                            "parent_url": parent_url,
+                        }
+                        self.stats.current_depth = depth
+
+                if not active_crawls:
+                    # If no active crawls exist, wait a bit and continue
+                    await asyncio.sleep(0.1)
+                    continue
+                # Process batch
+                try:
+                    # This is very important to ensure recursively you don't deep_crawl down the children.
+                    if crawler_run_config:
+                        crawler_run_config = crawler_run_config.clone(
+                            deep_crawl_strategy=None, stream=True
+                        )
+                    async for result in await crawler.arun_many(
+                        urls=list(active_crawls.keys()),
+                        config=crawler_run_config
+                    ):
+                        async with active_crawls_lock:
+                            crawl_info = active_crawls.pop(result.url, None)
+
+                        if crawl_info and result.success:
+                            await self._process_links(
+                                result, result.url, queue, visited, depths
+                            )
+                            result.depth = crawl_info["depth"]
+                            result.score = crawl_info["score"]
+                            result.parent_url = crawl_info["parent_url"]
+                            yield result
+                        else:
+                            self.logger.warning(
+                                f"Failed to crawl {result.url}: {result.error_message}"
+                            )
+                except Exception as e:
+                    self.logger.error(f"Batch processing error: {e}")
+                    # Continue processing other batches
+                    continue
+
+        except Exception as e:
+            self.logger.error(f"Error in crawl process: {e}")
+            raise
+
+        finally:
+            self.stats.end_time = datetime.now()
+
+    async def shutdown(self):
+        """Clean up resources and stop crawling"""
+        self._cancel_event.set()

crawl4ai/deep_crawl/deep_crawl_strategty.py

@@ -0,0 +1,30 @@
+from abc import ABC, abstractmethod
+from typing import AsyncGenerator, Optional
+
+from ..models import CrawlResult
+
+
+class DeepCrawlStrategy(ABC):
+    @abstractmethod
+    async def arun(
+        self,
+        url: str,
+        crawler: "AsyncWebCrawler",
+        crawler_run_config: Optional["CrawlerRunConfig"] = None,
+    ) -> AsyncGenerator[CrawlResult, None]:
+        """Traverse the given URL using the specified crawler.
+
+        Args:
+            url (str): The starting URL for the traversal.
+            crawler (AsyncWebCrawler): The crawler instance to use for traversal.
+            crawler_run_config (CrawlerRunConfig, optional): The configuration for the crawler.
+
+        Returns:
+            AsyncGenerator[CrawlResult, None]: An async generator yielding crawl results.
+        """
+        pass
+
+    @abstractmethod
+    async def shutdown(self):
+        """Clean up resources used by the strategy"""
+        pass

crawl4ai/deep_crawl/filters.py

@@ -0,0 +1,868 @@
+from abc import ABC, abstractmethod
+from typing import List, Pattern, Set, Union, FrozenSet
+import re, time
+from urllib.parse import urlparse
+from array import array
+import logging
+from functools import lru_cache
+import fnmatch
+from dataclasses import dataclass
+from typing import ClassVar
+import weakref
+import mimetypes
+
+
+@dataclass
+class FilterStats:
+    # PERF: Using dataclass creates overhead with __init__ and property access
+    # PERF: Could use __slots__ to reduce memory footprint
+    # PERF: Consider using array.array('I') for atomic increments
+    total_urls: int = 0
+    rejected_urls: int = 0
+    passed_urls: int = 0
+
+
+class URLFilter(ABC):
+    # PERF: Logger creation is expensive, consider lazy initialization
+    # PERF: stats object creation adds overhead for each filter instance
+    def __init__(self, name: str = None):
+        self.name = name or self.__class__.__name__
+        self.stats = FilterStats()
+        self.logger = logging.getLogger(f"urlfilter.{self.name}")
+
+    @abstractmethod
+    def apply(self, url: str) -> bool:
+        pass
+
+    def _update_stats(self, passed: bool):
+        # PERF: Already optimized but could use bitwise operations
+        # PERF: Consider removing stats entirely in production/fast mode
+        self.stats.total_urls += 1
+        self.stats.passed_urls += passed
+        self.stats.rejected_urls += not passed
+
+
+class FilterChain:
+    # PERF: List traversal for each URL is expensive
+    # PERF: Could use array.array instead of list for filters
+    # PERF: Consider adding fast path for single filter case
+    def __init__(self, filters: List[URLFilter] = None):
+        self.filters = filters or []
+        self.stats = FilterStats()
+        self.logger = logging.getLogger("urlfilter.chain")
+
+    def apply(self, url: str) -> bool:
+        # PERF: Logging on every rejection is expensive
+        # PERF: Could reorder filters by rejection rate
+        # PERF: Consider batch processing mode
+        self.stats.total_urls += 1
+
+        for filter_ in self.filters:
+            if not filter_.apply(url):
+                self.stats.rejected_urls += 1
+                self.logger.debug(f"URL {url} rejected by {filter_.name}")
+                return False
+
+        self.stats.passed_urls += 1
+        return True
+
+
+class URLPatternFilter(URLFilter):
+    # PERF: Converting glob to regex is expensive
+    # PERF: Multiple regex compilation is slow
+    # PERF: List of patterns causes multiple regex evaluations
+    def __init__(
+        self,
+        patterns: Union[str, Pattern, List[Union[str, Pattern]]],
+        use_glob: bool = True,
+    ):
+        super().__init__()
+        self.patterns = [patterns] if isinstance(patterns, (str, Pattern)) else patterns
+        self.use_glob = use_glob
+        self._compiled_patterns = []
+
+        # PERF: This could be consolidated into a single regex with OR conditions
+        # PERF: glob_to_regex creates complex patterns, could be simplified
+        for pattern in self.patterns:
+            if isinstance(pattern, str) and use_glob:
+                self._compiled_patterns.append(self._glob_to_regex(pattern))
+            else:
+                self._compiled_patterns.append(
+                    re.compile(pattern) if isinstance(pattern, str) else pattern
+                )
+
+    def _glob_to_regex(self, pattern: str) -> Pattern:
+        # PERF: fnmatch.translate creates overly complex patterns
+        # PERF: Could cache common translations
+        return re.compile(fnmatch.translate(pattern))
+
+    def apply(self, url: str) -> bool:
+        # PERF: any() with generator is slower than direct loop with early return
+        # PERF: searching entire string is slower than anchored match
+        matches = any(pattern.search(url) for pattern in self._compiled_patterns)
+        self._update_stats(matches)
+        return matches
+
+
+class ContentTypeFilter(URLFilter):
+    # PERF: mimetypes guessing is extremely slow
+    # PERF: URL parsing on every check is expensive
+    # PERF: No caching of results for similar extensions
+    def __init__(
+        self, allowed_types: Union[str, List[str]], check_extension: bool = True
+    ):
+        super().__init__()
+        self.allowed_types = (
+            [allowed_types] if isinstance(allowed_types, str) else allowed_types
+        )
+        self.check_extension = check_extension
+        self._normalize_types()
+
+    def _normalize_types(self):
+        """Normalize content type strings"""
+        self.allowed_types = [t.lower() for t in self.allowed_types]
+
+    def _check_extension(self, url: str) -> bool:
+        # PERF: urlparse is called on every check
+        # PERF: multiple string splits are expensive
+        # PERF: mimetypes.guess_type is very slow
+        ext = (
+            urlparse(url).path.split(".")[-1].lower()
+            if "." in urlparse(url).path
+            else ""
+        )
+        if not ext:
+            return True
+
+        # PERF: guess_type is main bottleneck
+        guessed_type = mimetypes.guess_type(url)[0]
+        return any(
+            allowed in (guessed_type or "").lower() for allowed in self.allowed_types
+        )
+
+    def apply(self, url: str) -> bool:
+        """Check if URL's content type is allowed"""
+        result = True
+        if self.check_extension:
+            result = self._check_extension(url)
+        self._update_stats(result)
+        return result
+
+
+class DomainFilter(URLFilter):
+    # PERF: Set lookups are fast but string normalizations on init are not
+    # PERF: Creating two sets doubles memory usage
+    def __init__(
+        self,
+        allowed_domains: Union[str, List[str]] = None,
+        blocked_domains: Union[str, List[str]] = None,
+    ):
+        super().__init__()
+        # PERF: Normalizing domains on every init is wasteful
+        # PERF: Could use frozenset for immutable lists
+        self.allowed_domains = (
+            set(self._normalize_domains(allowed_domains)) if allowed_domains else None
+        )
+        self.blocked_domains = (
+            set(self._normalize_domains(blocked_domains)) if blocked_domains else set()
+        )
+
+    def _normalize_domains(self, domains: Union[str, List[str]]) -> List[str]:
+        # PERF: strip() and lower() create new strings for each domain
+        # PERF: List comprehension creates intermediate list
+        if isinstance(domains, str):
+            domains = [domains]
+        return [d.lower().strip() for d in domains]
+
+    def _extract_domain(self, url: str) -> str:
+        # PERF: urlparse is called for every URL check
+        # PERF: lower() creates new string every time
+        # PERF: Could cache recent results
+        return urlparse(url).netloc.lower()
+
+    def apply(self, url: str) -> bool:
+        # PERF: Two separate set lookups in worst case
+        # PERF: Domain extraction happens before knowing if we have any filters
+        domain = self._extract_domain(url)
+
+        if domain in self.blocked_domains:
+            self._update_stats(False)
+            return False
+
+        if self.allowed_domains is not None and domain not in self.allowed_domains:
+            self._update_stats(False)
+            return False
+
+        self._update_stats(True)
+        return True
+
+
+# Example usage:
+def create_common_filter_chain() -> FilterChain:
+    """Create a commonly used filter chain"""
+    return FilterChain(
+        [
+            URLPatternFilter(
+                [
+                    "*.html",
+                    "*.htm",  # HTML files
+                    "*/article/*",
+                    "*/blog/*",  # Common content paths
+                ]
+            ),
+            ContentTypeFilter(["text/html", "application/xhtml+xml"]),
+            DomainFilter(blocked_domains=["ads.*", "analytics.*"]),
+        ]
+    )
+
+
+####################################################################################
+# Uncledoe: Optimized Version
+####################################################################################
+
+
+# Use __slots__ and array for maximum memory/speed efficiency
+class FastFilterStats:
+    __slots__ = ("_counters",)
+
+    def __init__(self):
+        # Use array of unsigned ints for atomic operations
+        self._counters = array("I", [0, 0, 0])  # total, passed, rejected
+
+    @property
+    def total_urls(self):
+        return self._counters[0]
+
+    @property
+    def passed_urls(self):
+        return self._counters[1]
+
+    @property
+    def rejected_urls(self):
+        return self._counters[2]
+
+
+class FastURLFilter(ABC):
+    """Optimized base filter class"""
+
+    __slots__ = ("name", "stats", "_logger_ref")
+
+    def __init__(self, name: str = None):
+        self.name = name or self.__class__.__name__
+        self.stats = FastFilterStats()
+        # Lazy logger initialization using weakref
+        self._logger_ref = None
+
+    @property
+    def logger(self):
+        if self._logger_ref is None or self._logger_ref() is None:
+            logger = logging.getLogger(f"urlfilter.{self.name}")
+            self._logger_ref = weakref.ref(logger)
+        return self._logger_ref()
+
+    @abstractmethod
+    def apply(self, url: str) -> bool:
+        pass
+
+    def _update_stats(self, passed: bool):
+        # Use direct array index for speed
+        self.stats._counters[0] += 1  # total
+        self.stats._counters[1] += passed  # passed
+        self.stats._counters[2] += not passed  # rejected
+
+
+class FastFilterChain:
+    """Optimized filter chain"""
+
+    __slots__ = ("filters", "stats", "_logger_ref")
+
+    def __init__(self, filters: List[FastURLFilter] = None):
+        self.filters = tuple(filters or [])  # Immutable tuple for speed
+        self.stats = FastFilterStats()
+        self._logger_ref = None
+
+    @property
+    def logger(self):
+        if self._logger_ref is None or self._logger_ref() is None:
+            logger = logging.getLogger("urlfilter.chain")
+            self._logger_ref = weakref.ref(logger)
+        return self._logger_ref()
+
+    def add_filter(self, filter_: FastURLFilter) -> "FastFilterChain":
+        """Add a filter to the chain"""
+        self.filters.append(filter_)
+        return self  # Enable method chaining
+
+    def apply(self, url: str) -> bool:
+        """Optimized apply with minimal operations"""
+        self.stats._counters[0] += 1  # total
+
+        # Direct tuple iteration is faster than list
+        for f in self.filters:
+            if not f.apply(url):
+                self.stats._counters[2] += 1  # rejected
+                return False
+
+        self.stats._counters[1] += 1  # passed
+        return True
+
+class FastURLPatternFilter(FastURLFilter):
+    """Pattern filter balancing speed and completeness"""
+    __slots__ = ('_simple_suffixes', '_simple_prefixes', '_domain_patterns', '_path_patterns')
+    
+    PATTERN_TYPES = {
+        'SUFFIX': 1,    # *.html
+        'PREFIX': 2,    # /foo/*
+        'DOMAIN': 3,    # *.example.com
+        'PATH': 4 ,      # Everything else
+        'REGEX': 5 
+    }
+    
+    def __init__(self, patterns: Union[str, Pattern, List[Union[str, Pattern]]], use_glob: bool = True):
+        super().__init__()
+        patterns = [patterns] if isinstance(patterns, (str, Pattern)) else patterns
+        
+        self._simple_suffixes = set()
+        self._simple_prefixes = set()
+        self._domain_patterns = []
+        self._path_patterns = []
+        
+        for pattern in patterns:
+            pattern_type = self._categorize_pattern(pattern)
+            self._add_pattern(pattern, pattern_type)
+    
+    def _categorize_pattern(self, pattern: str) -> int:
+        """Categorize pattern for specialized handling"""
+        if not isinstance(pattern, str):
+            return self.PATTERN_TYPES['PATH']
+            
+        # Check if it's a regex pattern
+        if pattern.startswith('^') or pattern.endswith('$') or '\\d' in pattern:
+            return self.PATTERN_TYPES['REGEX']
+        
+        if pattern.count('*') == 1:
+            if pattern.startswith('*.'):
+                return self.PATTERN_TYPES['SUFFIX']
+            if pattern.endswith('/*'):
+                return self.PATTERN_TYPES['PREFIX']
+                
+        if '://' in pattern and pattern.startswith('*.'):
+            return self.PATTERN_TYPES['DOMAIN']
+            
+        return self.PATTERN_TYPES['PATH']
+    
+    def _add_pattern(self, pattern: str, pattern_type: int):
+        """Add pattern to appropriate matcher"""
+        if pattern_type == self.PATTERN_TYPES['REGEX']:
+            # For regex patterns, compile directly without glob translation
+            if isinstance(pattern, str) and (pattern.startswith('^') or pattern.endswith('$') or '\\d' in pattern):
+                self._path_patterns.append(re.compile(pattern))
+                return
+        elif pattern_type == self.PATTERN_TYPES['SUFFIX']:
+            self._simple_suffixes.add(pattern[2:])
+        elif pattern_type == self.PATTERN_TYPES['PREFIX']:
+            self._simple_prefixes.add(pattern[:-2])
+        elif pattern_type == self.PATTERN_TYPES['DOMAIN']:
+            self._domain_patterns.append(
+                re.compile(pattern.replace('*.', r'[^/]+\.'))
+            )
+        else:
+            if isinstance(pattern, str):
+                # Handle complex glob patterns
+                if '**' in pattern:
+                    pattern = pattern.replace('**', '.*')
+                if '{' in pattern:
+                    # Convert {a,b} to (a|b)
+                    pattern = re.sub(r'\{([^}]+)\}', 
+                                   lambda m: f'({"|".join(m.group(1).split(","))})',
+                                   pattern)
+                pattern = fnmatch.translate(pattern)
+            self._path_patterns.append(
+                pattern if isinstance(pattern, Pattern) else re.compile(pattern)
+            )
+
+    @lru_cache(maxsize=10000)
+    def apply(self, url: str) -> bool:
+        """Hierarchical pattern matching"""
+        # Quick suffix check (*.html)
+        if self._simple_suffixes:
+            path = url.split('?')[0]
+            if path.split('/')[-1].split('.')[-1] in self._simple_suffixes:
+                self._update_stats(True)
+                return True
+                
+        # Domain check
+        if self._domain_patterns:
+            for pattern in self._domain_patterns:
+                if pattern.match(url):
+                    self._update_stats(True)
+                    return True
+        
+        # Prefix check (/foo/*)
+        if self._simple_prefixes:
+            path = url.split('?')[0]
+            if any(path.startswith(p) for p in self._simple_prefixes):
+                self._update_stats(True)
+                return True
+                
+        # Complex patterns
+        if self._path_patterns:
+            if any(p.search(url) for p in self._path_patterns):
+                self._update_stats(True)
+                return True
+        
+        self._update_stats(False)
+        return False
+
+
+class FastContentTypeFilter(FastURLFilter):
+    """Optimized content type filter using fast lookups"""
+
+    __slots__ = ("allowed_types", "_ext_map", "_check_extension")
+
+    # Fast extension to mime type mapping
+    _MIME_MAP = {
+        # Text Formats
+        "txt": "text/plain",
+        "html": "text/html",
+        "htm": "text/html",
+        "xhtml": "application/xhtml+xml",
+        "css": "text/css",
+        "csv": "text/csv",
+        "ics": "text/calendar",
+        "js": "application/javascript",
+        # Images
+        "bmp": "image/bmp",
+        "gif": "image/gif",
+        "jpeg": "image/jpeg",
+        "jpg": "image/jpeg",
+        "png": "image/png",
+        "svg": "image/svg+xml",
+        "tiff": "image/tiff",
+        "ico": "image/x-icon",
+        "webp": "image/webp",
+        # Audio
+        "mp3": "audio/mpeg",
+        "wav": "audio/wav",
+        "ogg": "audio/ogg",
+        "m4a": "audio/mp4",
+        "aac": "audio/aac",
+        # Video
+        "mp4": "video/mp4",
+        "mpeg": "video/mpeg",
+        "webm": "video/webm",
+        "avi": "video/x-msvideo",
+        "mov": "video/quicktime",
+        "flv": "video/x-flv",
+        "wmv": "video/x-ms-wmv",
+        "mkv": "video/x-matroska",
+        # Applications
+        "json": "application/json",
+        "xml": "application/xml",
+        "pdf": "application/pdf",
+        "zip": "application/zip",
+        "gz": "application/gzip",
+        "tar": "application/x-tar",
+        "rar": "application/vnd.rar",
+        "7z": "application/x-7z-compressed",
+        "exe": "application/vnd.microsoft.portable-executable",
+        "msi": "application/x-msdownload",
+        # Fonts
+        "woff": "font/woff",
+        "woff2": "font/woff2",
+        "ttf": "font/ttf",
+        "otf": "font/otf",
+        # Microsoft Office
+        "doc": "application/msword",
+        "dot": "application/msword",
+        "docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
+        "xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+        "xls": "application/vnd.ms-excel",
+        "ppt": "application/vnd.ms-powerpoint",
+        "pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
+        # OpenDocument Formats
+        "odt": "application/vnd.oasis.opendocument.text",
+        "ods": "application/vnd.oasis.opendocument.spreadsheet",
+        "odp": "application/vnd.oasis.opendocument.presentation",
+        # Archives
+        "tar.gz": "application/gzip",
+        "tgz": "application/gzip",
+        "bz2": "application/x-bzip2",
+        # Others
+        "rtf": "application/rtf",
+        "apk": "application/vnd.android.package-archive",
+        "epub": "application/epub+zip",
+        "jar": "application/java-archive",
+        "swf": "application/x-shockwave-flash",
+        "midi": "audio/midi",
+        "mid": "audio/midi",
+        "ps": "application/postscript",
+        "ai": "application/postscript",
+        "eps": "application/postscript",
+        # Custom or less common
+        "bin": "application/octet-stream",
+        "dmg": "application/x-apple-diskimage",
+        "iso": "application/x-iso9660-image",
+        "deb": "application/x-debian-package",
+        "rpm": "application/x-rpm",
+        "sqlite": "application/vnd.sqlite3",
+        # Placeholder
+        "unknown": "application/octet-stream",  # Fallback for unknown file types
+    }
+
+    @staticmethod
+    @lru_cache(maxsize=1000)
+    def _extract_extension(path: str) -> str:
+        """Fast extension extraction with caching"""
+        if "." not in path:
+            return ""
+        return path.rpartition(".")[-1].lower()
+
+    def __init__(
+        self, allowed_types: Union[str, List[str]], check_extension: bool = True
+    ):
+        super().__init__()
+        # Normalize and store as frozenset for fast lookup
+        self.allowed_types = frozenset(
+            t.lower()
+            for t in (
+                allowed_types if isinstance(allowed_types, list) else [allowed_types]
+            )
+        )
+        self._check_extension = check_extension
+
+        # Pre-compute extension map for allowed types
+        self._ext_map = frozenset(
+            ext
+            for ext, mime in self._MIME_MAP.items()
+            if any(allowed in mime for allowed in self.allowed_types)
+        )
+
+    @lru_cache(maxsize=1000)
+    def _check_url_cached(self, url: str) -> bool:
+        """Cached URL checking"""
+        if not self._check_extension:
+            return True
+
+        path = url.split("?")[0]  # Fast path split
+        ext = self._extract_extension(path)
+        if not ext:
+            return True
+
+        return ext in self._ext_map
+
+    def apply(self, url: str) -> bool:
+        """Fast extension check with caching"""
+        result = self._check_url_cached(url)
+        self._update_stats(result)
+        return result
+
+
+class FastDomainFilter(FastURLFilter):
+    """Optimized domain filter with fast lookups and caching"""
+
+    __slots__ = ("_allowed_domains", "_blocked_domains", "_domain_cache")
+
+    # Regex for fast domain extraction
+    _DOMAIN_REGEX = re.compile(r"://([^/]+)")
+
+    def __init__(
+        self,
+        allowed_domains: Union[str, List[str]] = None,
+        blocked_domains: Union[str, List[str]] = None,
+    ):
+        super().__init__()
+
+        # Convert inputs to frozensets for immutable, fast lookups
+        self._allowed_domains = (
+            frozenset(self._normalize_domains(allowed_domains))
+            if allowed_domains
+            else None
+        )
+        self._blocked_domains = (
+            frozenset(self._normalize_domains(blocked_domains))
+            if blocked_domains
+            else frozenset()
+        )
+
+    @staticmethod
+    def _normalize_domains(domains: Union[str, List[str]]) -> Set[str]:
+        """Fast domain normalization"""
+        if isinstance(domains, str):
+            return {domains.lower()}
+        return {d.lower() for d in domains}
+
+    @staticmethod
+    @lru_cache(maxsize=10000)
+    def _extract_domain(url: str) -> str:
+        """Ultra-fast domain extraction with regex and caching"""
+        match = FastDomainFilter._DOMAIN_REGEX.search(url)
+        return match.group(1).lower() if match else ""
+
+    def apply(self, url: str) -> bool:
+        """Optimized domain checking with early returns"""
+        # Skip processing if no filters
+        if not self._blocked_domains and self._allowed_domains is None:
+            self._update_stats(True)
+            return True
+
+        domain = self._extract_domain(url)
+
+        # Early return for blocked domains
+        if domain in self._blocked_domains:
+            self._update_stats(False)
+            return False
+
+        # If no allowed domains specified, accept all non-blocked
+        if self._allowed_domains is None:
+            self._update_stats(True)
+            return True
+
+        # Final allowed domains check
+        result = domain in self._allowed_domains
+        self._update_stats(result)
+        return result
+
+
+def create_fast_filter_chain() -> FastFilterChain:
+    """Create an optimized filter chain with filters ordered by rejection rate"""
+    return FastFilterChain(
+        [
+            # Domain filter first (fastest rejection)
+            FastDomainFilter(blocked_domains=["ads.*", "analytics.*"]),
+            # Content filter second (medium speed)
+            FastContentTypeFilter(["text/html", "application/xhtml+xml"]),
+            # Pattern filter last (most expensive)
+            FastURLPatternFilter(
+                [
+                    "*.html",
+                    "*.htm",
+                    "*/article/*",
+                    "*/blog/*",
+                ]
+            ),
+        ]
+    )
+
+
+def run_performance_test():
+    import time
+    import random
+    from itertools import cycle
+
+    # Generate test URLs
+    base_urls = [
+        "https://example.com/article/123",
+        "https://blog.example.com/post/456",
+        "https://ads.example.com/tracking",
+        "https://example.com/about.html",
+        "https://analytics.example.com/script.js",
+        "https://example.com/products.php",
+        "https://subdomain.example.com/blog/post-123",
+        "https://example.com/path/file.pdf",
+    ]
+
+    # Create more varied test data
+    test_urls = []
+    for base in base_urls:
+        # Add original
+        test_urls.append(base)
+        # Add variations
+        parts = base.split("/")
+        for i in range(10):
+            parts[-1] = f"page_{i}.html"
+            test_urls.append("/".join(parts))
+
+    # Multiply to get enough test data
+    test_urls = test_urls * 10000  # Creates ~800k URLs
+
+    def benchmark(name: str, func, *args, warmup=True):
+        if warmup:
+            # Warmup run
+            func(*args)
+
+        # Actual timing
+        start = time.perf_counter_ns()
+        result = func(*args)
+        elapsed = (time.perf_counter_ns() - start) / 1_000_000  # Convert to ms
+        print(
+            f"{name:<30} {elapsed:>8.3f} ms  ({len(test_urls)/elapsed*1000:,.0f} URLs/sec)"
+        )
+        return result
+
+    print("\nBenchmarking original vs optimized implementations...")
+    print("-" * 70)
+
+    # Original implementation
+    pattern_filter = URLPatternFilter(["*.html", "*/article/*"])
+    content_filter = ContentTypeFilter(["text/html"])
+    domain_filter = DomainFilter(blocked_domains=["ads.*", "analytics.*"])
+    chain = FilterChain([pattern_filter, content_filter, domain_filter])
+
+    # Optimized implementation
+    fast_pattern_filter = FastURLPatternFilter(["*.html", "*/article/*"])
+    fast_content_filter = FastContentTypeFilter(["text/html"])
+    fast_domain_filter = FastDomainFilter(blocked_domains=["ads.*", "analytics.*"])
+    fast_chain = FastFilterChain(
+        [fast_domain_filter, fast_content_filter, fast_pattern_filter]
+    )
+
+    # Test individual filters
+    print("\nSingle filter performance (first 1000 URLs):")
+    test_subset = test_urls[:1000]
+
+    print("\nPattern Filters:")
+    benchmark(
+        "Original Pattern Filter",
+        lambda: [pattern_filter.apply(url) for url in test_subset],
+    )
+    benchmark(
+        "Optimized Pattern Filter",
+        lambda: [fast_pattern_filter.apply(url) for url in test_subset],
+    )
+
+    print("\nContent Filters:")
+    benchmark(
+        "Original Content Filter",
+        lambda: [content_filter.apply(url) for url in test_subset],
+    )
+    benchmark(
+        "Optimized Content Filter",
+        lambda: [fast_content_filter.apply(url) for url in test_subset],
+    )
+
+    print("\nDomain Filters:")
+    benchmark(
+        "Original Domain Filter",
+        lambda: [domain_filter.apply(url) for url in test_subset],
+    )
+    benchmark(
+        "Optimized Domain Filter",
+        lambda: [fast_domain_filter.apply(url) for url in test_subset],
+    )
+
+    print("\nFull Chain Performance (all URLs):")
+    # Test chain
+    benchmark("Original Chain", lambda: [chain.apply(url) for url in test_urls])
+    benchmark("Optimized Chain", lambda: [fast_chain.apply(url) for url in test_urls])
+
+    # Memory usage
+    import sys
+
+    print("\nMemory Usage per Filter:")
+    print(f"Original Pattern Filter: {sys.getsizeof(pattern_filter):,} bytes")
+    print(f"Optimized Pattern Filter: {sys.getsizeof(fast_pattern_filter):,} bytes")
+    print(f"Original Content Filter: {sys.getsizeof(content_filter):,} bytes")
+    print(f"Optimized Content Filter: {sys.getsizeof(fast_content_filter):,} bytes")
+    print(f"Original Domain Filter: {sys.getsizeof(domain_filter):,} bytes")
+    print(f"Optimized Domain Filter: {sys.getsizeof(fast_domain_filter):,} bytes")
+
+def test_pattern_filter():
+    import time
+    from itertools import chain
+
+    # Test cases as list of tuples instead of dict for multiple patterns
+    test_cases = [
+        # Simple suffix patterns (*.html)
+        ("*.html", {
+            "https://example.com/page.html": True,
+            "https://example.com/path/doc.html": True,
+            "https://example.com/page.htm": False,
+            "https://example.com/page.html?param=1": True,
+        }),
+        
+        # Path prefix patterns (/foo/*)
+        ("*/article/*", {
+            "https://example.com/article/123": True,
+            "https://example.com/blog/article/456": True,
+            "https://example.com/articles/789": False,
+            "https://example.com/article": False,
+        }),
+        
+        # Complex patterns
+        ("blog-*-[0-9]", {
+            "https://example.com/blog-post-1": True,
+            "https://example.com/blog-test-9": True,
+            "https://example.com/blog-post": False,
+            "https://example.com/blog-post-x": False,
+        }),
+        
+        # Multiple patterns case
+        (["*.pdf", "*/download/*"], {
+            "https://example.com/doc.pdf": True,
+            "https://example.com/download/file.txt": True,
+            "https://example.com/path/download/doc": True,
+            "https://example.com/uploads/file.txt": False,
+        }),
+        
+        # Edge cases
+        ("*", {
+            "https://example.com": True,
+            "": True,
+            "http://test.com/path": True,
+        }),
+        
+        # Complex regex
+        (r"^https?://.*\.example\.com/\d+", {
+            "https://sub.example.com/123": True,
+            "http://test.example.com/456": True,
+            "https://example.com/789": False,
+            "https://sub.example.com/abc": False,
+        })
+    ]
+
+    def run_accuracy_test():
+        print("\nAccuracy Tests:")
+        print("-" * 50)
+        
+        all_passed = True
+        for patterns, test_urls in test_cases:
+            filter_obj = FastURLPatternFilter(patterns)
+            
+            for url, expected in test_urls.items():
+                result = filter_obj.apply(url)
+                if result != expected:
+                    print(f"❌ Failed: Pattern '{patterns}' with URL '{url}'")
+                    print(f"   Expected: {expected}, Got: {result}")
+                    all_passed = False
+                else:
+                    print(f"✅ Passed: Pattern '{patterns}' with URL '{url}'")
+        
+        return all_passed
+
+    def run_speed_test():
+        print("\nSpeed Tests:")
+        print("-" * 50)
+        
+        # Create a large set of test URLs
+        all_urls = list(chain.from_iterable(urls.keys() for _, urls in test_cases))
+        test_urls = all_urls * 10000  # 100K+ URLs
+        
+        # Test both implementations
+        original = URLPatternFilter(["*.html", "*/article/*", "blog-*"])
+        optimized = FastURLPatternFilter(["*.html", "*/article/*", "blog-*"])
+        
+        def benchmark(name, filter_obj):
+            start = time.perf_counter()
+            for url in test_urls:
+                filter_obj.apply(url)
+            elapsed = time.perf_counter() - start
+            urls_per_sec = len(test_urls) / elapsed
+            print(f"{name:<20} {elapsed:.3f}s ({urls_per_sec:,.0f} URLs/sec)")
+        
+        benchmark("Original Filter:", original)
+        benchmark("Optimized Filter:", optimized)
+
+    # Run tests
+    print("Running Pattern Filter Tests...")
+    accuracy_passed = run_accuracy_test()
+    
+    if accuracy_passed:
+        print("\n✨ All accuracy tests passed!")
+        run_speed_test()
+    else:
+        print("\n❌ Some accuracy tests failed!")
+
+if __name__ == "__main__":
+    run_performance_test()
+    # test_pattern_filter()

crawl4ai/models.py

@@ -1,3 +1,4 @@
+from __future__ import annotations
 from pydantic import BaseModel, HttpUrl
 from typing import List, Dict, Optional, Callable, Awaitable, Union, Any
 from enum import Enum
@@ -5,6 +6,7 @@ from dataclasses import dataclass
 from .ssl_certificate import SSLCertificate
 from datetime import datetime
 from datetime import timedelta
+from math import inf
 
 
 ###############################
@@ -95,6 +97,18 @@ class DispatchResult(BaseModel):
     error_message: str = ""
 
 
+@dataclass
+class TraversalStats:
+    """Statistics for the traversal process"""
+
+    start_time: datetime
+    urls_processed: int = 0
+    urls_failed: int = 0
+    urls_skipped: int = 0
+    total_depth_reached: int = 0
+    current_depth: int = 0
+
+
 class CrawlResult(BaseModel):
     url: str
     html: str
@@ -118,11 +132,14 @@ class CrawlResult(BaseModel):
     ssl_certificate: Optional[SSLCertificate] = None
     dispatch_result: Optional[DispatchResult] = None
     redirected_url: Optional[str] = None
+    # Attributes for position
+    depth: Optional[int] = None
+    score: Optional[float] = -inf
+    parent_url: Optional[str] = None
 
     class Config:
         arbitrary_types_allowed = True
 
-
 class AsyncCrawlResponse(BaseModel):
     html: str
     response_headers: Dict[str, str]
@@ -161,12 +178,12 @@ class Link(BaseModel):
 
 class Media(BaseModel):
     images: List[MediaItem] = []
-    videos: List[
-        MediaItem
-    ] = []  # Using MediaItem model for now, can be extended with Video model if needed
-    audios: List[
-        MediaItem
-    ] = []  # Using MediaItem model for now, can be extended with Audio model if needed
+    videos: List[MediaItem] = (
+        []
+    )  # Using MediaItem model for now, can be extended with Video model if needed
+    audios: List[MediaItem] = (
+        []
+    )  # Using MediaItem model for now, can be extended with Audio model if needed
 
 
 class Links(BaseModel):

docs/deep_crawl/bfs_traversal_strategy.md

@@ -0,0 +1,244 @@
+# BFS Scraper Strategy: Smart Web Traversal
+
+The BFS (Breadth-First Search) Scraper Strategy provides an intelligent way to traverse websites systematically. It crawls websites level by level, ensuring thorough coverage while respecting web crawling etiquette.
+
+```mermaid
+flowchart TB
+    Start([Start]) --> Init[Initialize BFS Strategy]
+    Init --> InitStats[Initialize CrawlStats]
+    InitStats --> InitQueue[Initialize Priority Queue]
+    InitQueue --> AddStart[Add Start URL to Queue]
+    
+    AddStart --> CheckState{Queue Empty or\nTasks Pending?}
+    CheckState -->|No| Cleanup[Cleanup & Stats]
+    Cleanup --> End([End])
+    
+    CheckState -->|Yes| CheckCancel{Cancel\nRequested?}
+    CheckCancel -->|Yes| Cleanup
+    
+    CheckCancel -->|No| CheckConcurrent{Under Max\nConcurrent?}
+    
+    CheckConcurrent -->|No| WaitComplete[Wait for Task Completion]
+    WaitComplete --> YieldResult[Yield Result]
+    YieldResult --> CheckState
+    
+    CheckConcurrent -->|Yes| GetNextURL[Get Next URL from Queue]
+    
+    GetNextURL --> ValidateURL{Already\nVisited?}
+    ValidateURL -->|Yes| CheckState
+    
+    ValidateURL -->|No| ProcessURL[Process URL]
+    
+    subgraph URL_Processing [URL Processing]
+        ProcessURL --> CheckValid{URL Valid?}
+        CheckValid -->|No| UpdateStats[Update Skip Stats]
+        
+        CheckValid -->|Yes| CheckRobots{Allowed by\nrobots.txt?}
+        CheckRobots -->|No| UpdateRobotStats[Update Robot Stats]
+        
+        CheckRobots -->|Yes| ApplyDelay[Apply Politeness Delay]
+        ApplyDelay --> FetchContent[Fetch Content with Rate Limit]
+        
+        FetchContent --> CheckError{Error?}
+        CheckError -->|Yes| Retry{Retry\nNeeded?}
+        Retry -->|Yes| FetchContent
+        Retry -->|No| UpdateFailStats[Update Fail Stats]
+        
+        CheckError -->|No| ExtractLinks[Extract & Process Links]
+        ExtractLinks --> ScoreURLs[Score New URLs]
+        ScoreURLs --> AddToQueue[Add to Priority Queue]
+    end
+    
+    ProcessURL --> CreateTask{Parallel\nProcessing?}
+    CreateTask -->|Yes| AddTask[Add to Pending Tasks]
+    CreateTask -->|No| DirectProcess[Process Directly]
+    
+    AddTask --> CheckState
+    DirectProcess --> YieldResult
+    
+    UpdateStats --> CheckState
+    UpdateRobotStats --> CheckState
+    UpdateFailStats --> CheckState
+    
+    classDef process fill:#90caf9,stroke:#000,stroke-width:2px;
+    classDef decision fill:#fff59d,stroke:#000,stroke-width:2px;
+    classDef error fill:#ef9a9a,stroke:#000,stroke-width:2px;
+    classDef stats fill:#a5d6a7,stroke:#000,stroke-width:2px;
+    
+    class Start,End stats;
+    class CheckState,CheckCancel,CheckConcurrent,ValidateURL,CheckValid,CheckRobots,CheckError,Retry,CreateTask decision;
+    class UpdateStats,UpdateRobotStats,UpdateFailStats,InitStats,Cleanup stats;
+    class ProcessURL,FetchContent,ExtractLinks,ScoreURLs process;
+```
+
+## How It Works
+
+The BFS strategy crawls a website by:
+1. Starting from a root URL
+2. Processing all URLs at the current depth
+3. Moving to URLs at the next depth level
+4. Continuing until maximum depth is reached
+
+This ensures systematic coverage of the website while maintaining control over the crawling process.
+
+## Key Features
+
+### 1. Smart URL Processing
+```python
+strategy = BFSScraperStrategy(
+    max_depth=2,
+    filter_chain=my_filters,
+    url_scorer=my_scorer,
+    max_concurrent=5
+)
+```
+- Controls crawl depth
+- Filters unwanted URLs
+- Scores URLs for priority
+- Manages concurrent requests
+
+### 2. Polite Crawling
+The strategy automatically implements web crawling best practices:
+- Respects robots.txt
+- Implements rate limiting
+- Adds politeness delays
+- Manages concurrent requests
+
+### 3. Link Processing Control
+```python
+strategy = BFSScraperStrategy(
+    ...,
+    process_external_links=False  # Only process internal links
+)
+```
+- Control whether to follow external links
+- Default: internal links only
+- Enable external links when needed
+
+## Configuration Options
+
+| Parameter | Description | Default |
+|-----------|-------------|---------|
+| max_depth | Maximum crawl depth | Required |
+| filter_chain | URL filtering rules | Required |
+| url_scorer | URL priority scoring | Required |
+| max_concurrent | Max parallel requests | 5 |
+| min_crawl_delay | Seconds between requests | 1 |
+| process_external_links | Follow external links | False |
+
+## Best Practices
+
+1. **Set Appropriate Depth**
+   - Start with smaller depths (2-3)
+   - Increase based on needs
+   - Consider site structure
+
+2. **Configure Filters**
+   - Use URL patterns
+   - Filter by content type
+   - Avoid unwanted sections
+
+3. **Tune Performance**
+   - Adjust max_concurrent
+   - Set appropriate delays
+   - Monitor resource usage
+
+4. **Handle External Links**
+   - Keep external_links=False for focused crawls
+   - Enable only when needed
+   - Consider additional filtering
+
+## Example Usage
+
+```python
+from crawl4ai.scraper import BFSScraperStrategy
+from crawl4ai.scraper.filters import FilterChain
+from crawl4ai.scraper.scorers import BasicURLScorer
+
+# Configure strategy
+strategy = BFSScraperStrategy(
+    max_depth=3,
+    filter_chain=FilterChain([
+        URLPatternFilter("*.example.com/*"),
+        ContentTypeFilter(["text/html"])
+    ]),
+    url_scorer=BasicURLScorer(),
+    max_concurrent=5,
+    min_crawl_delay=1,
+    process_external_links=False
+)
+
+# Use with AsyncWebScraper
+scraper = AsyncWebScraper(crawler, strategy)
+results = await scraper.ascrape("https://example.com")
+```
+
+## Common Use Cases
+
+### 1. Site Mapping
+```python
+strategy = BFSScraperStrategy(
+    max_depth=5,
+    filter_chain=site_filter,
+    url_scorer=depth_scorer,
+    process_external_links=False
+)
+```
+Perfect for creating complete site maps or understanding site structure.
+
+### 2. Content Aggregation
+```python
+strategy = BFSScraperStrategy(
+    max_depth=2,
+    filter_chain=content_filter,
+    url_scorer=relevance_scorer,
+    max_concurrent=3
+)
+```
+Ideal for collecting specific types of content (articles, products, etc.).
+
+### 3. Link Analysis
+```python
+strategy = BFSScraperStrategy(
+    max_depth=1,
+    filter_chain=link_filter,
+    url_scorer=link_scorer,
+    process_external_links=True
+)
+```
+Useful for analyzing both internal and external link structures.
+
+## Advanced Features
+
+### Progress Monitoring
+```python
+async for result in scraper.ascrape(url):
+    print(f"Current depth: {strategy.stats.current_depth}")
+    print(f"Processed URLs: {strategy.stats.urls_processed}")
+```
+
+### Custom URL Scoring
+```python
+class CustomScorer(URLScorer):
+    def score(self, url: str) -> float:
+        # Lower scores = higher priority
+        return score_based_on_criteria(url)
+```
+
+## Troubleshooting
+
+1. **Slow Crawling**
+   - Increase max_concurrent
+   - Adjust min_crawl_delay
+   - Check network conditions
+
+2. **Missing Content**
+   - Verify max_depth
+   - Check filter settings
+   - Review URL patterns
+
+3. **High Resource Usage**
+   - Reduce max_concurrent
+   - Increase crawl delay
+   - Add more specific filters
+

docs/deep_crawl/deep_crawl_quickstart.py

@@ -0,0 +1,260 @@
+from crawl4ai.async_configs import CrawlerRunConfig, BrowserConfig
+from crawl4ai.content_scraping_strategy import LXMLWebScrapingStrategy
+from crawl4ai.deep_crawl import (
+    BFSDeepCrawlStrategy,
+    FilterChain,
+    URLPatternFilter,
+    ContentTypeFilter,
+    DomainFilter,
+    KeywordRelevanceScorer,
+    PathDepthScorer,
+    FreshnessScorer,
+    CompositeScorer,
+)
+from crawl4ai.async_webcrawler import AsyncWebCrawler
+import re
+import time
+import logging
+
+browser_config = BrowserConfig(headless=True, viewport_width=800, viewport_height=600)
+
+
+async def basic_example():
+    """
+    Basic example: Deep crawl a blog site for articles
+    - Crawls only HTML pages
+    - Stays within the blog section
+    - Collects all results at once
+    """
+    # Create a simple filter chain
+    filter_chain = FilterChain(
+        [
+            # Only crawl pages within the blog section
+            URLPatternFilter("*/basic/*"),
+            # Only process HTML pages
+            ContentTypeFilter(["text/html"]),
+        ]
+    )
+
+    # Initialize the strategy with basic configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        process_external_links=True,
+    )
+
+    # Create the crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+        # Start scraping
+        try:
+            results = await crawler.arun(
+                "https://crawl4ai.com/mkdocs",
+                CrawlerRunConfig(deep_crawl_strategy=bfs_strategy),
+            )
+            # Process results
+            print(f"Crawled {len(results)} pages:")
+            for result in results:
+                print(f"- {result.url}: {len(result.html)} bytes")
+
+        except Exception as e:
+            print(f"Error during scraping: {e}")
+
+
+async def advanced_example():
+    """
+    Advanced example: Intelligent news site crawling
+    - Uses all filter types
+    - Implements sophisticated scoring
+    - Streams results
+    - Includes monitoring and logging
+    """
+    # Set up logging
+    logging.basicConfig(level=logging.INFO)
+    logger = logging.getLogger("advanced_deep_crawler")
+
+    # Create sophisticated filter chain
+    filter_chain = FilterChain(
+        [
+            # Domain control
+            DomainFilter(
+                allowed_domains=["techcrunch.com"],
+                blocked_domains=["login.techcrunch.com", "legal.yahoo.com"],
+            ),
+            # URL patterns
+            URLPatternFilter(
+                [
+                    "*/article/*",
+                    "*/news/*",
+                    "*/blog/*",
+                    re.compile(r"\d{4}/\d{2}/.*"),  # Date-based URLs
+                ]
+            ),
+            # Content types
+            ContentTypeFilter(["text/html", "application/xhtml+xml"]),
+        ]
+    )
+
+    # Create composite scorer
+    scorer = CompositeScorer(
+        [
+            # Prioritize by keywords
+            KeywordRelevanceScorer(
+                keywords=["news", "breaking", "update", "latest"], weight=1.0
+            ),
+            # Prefer optimal URL structure
+            PathDepthScorer(optimal_depth=3, weight=0.7),
+            # Prioritize fresh content
+            FreshnessScorer(weight=0.9),
+        ]
+    )
+
+    # Initialize strategy with advanced configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2, filter_chain=filter_chain, url_scorer=scorer
+    )
+
+    # Create crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+
+        # Track statistics
+        stats = {"processed": 0, "errors": 0, "total_size": 0}
+
+        try:
+            # Use streaming mode
+            results = []
+            result_generator = await crawler.arun(
+                "https://techcrunch.com",
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy, stream=True),
+            )
+            async for result in result_generator:
+                stats["processed"] += 1
+
+                if result.success:
+                    stats["total_size"] += len(result.html)
+                    logger.info(
+                        f"Processed at depth: {result.depth} with score: {result.score:.3f} : \n {result.url}"
+                    )
+                    results.append(result)
+                else:
+                    stats["errors"] += 1
+                    logger.error(
+                        f"Failed to process {result.url}: {result.error_message}"
+                    )
+
+                # Log progress regularly
+                if stats["processed"] % 10 == 0:
+                    logger.info(f"Progress: {stats['processed']} URLs processed")
+
+        except Exception as e:
+            logger.error(f"Scraping error: {e}")
+
+        finally:
+            # Print final statistics
+            logger.info("Scraping completed:")
+            logger.info(f"- URLs processed: {stats['processed']}")
+            logger.info(f"- Errors: {stats['errors']}")
+            logger.info(f"- Total content size: {stats['total_size'] / 1024:.2f} KB")
+
+            # Print filter statistics
+            for filter_ in filter_chain.filters:
+                logger.info(f"{filter_.name} stats:")
+                logger.info(f"- Passed: {filter_.stats.passed_urls}")
+                logger.info(f"- Rejected: {filter_.stats.rejected_urls}")
+
+            # Print scorer statistics
+            logger.info("Scoring statistics:")
+            logger.info(f"- Average score: {scorer.stats.average_score:.2f}")
+            logger.info(
+                f"- Score range: {scorer.stats.min_score:.2f} - {scorer.stats.max_score:.2f}"
+            )
+
+
+async def basic_example_many_urls():
+    filter_chain = FilterChain(
+        [
+            URLPatternFilter("*/basic/*"),
+            ContentTypeFilter(["text/html"]),
+        ]
+    )
+    # Initialize the strategy with basic configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        process_external_links=False,
+    )
+
+    # Create the crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+        # Start scraping
+        try:
+            results = await crawler.arun_many(
+                urls=["https://crawl4ai.com/mkdocs","https://aravindkarnam.com"],
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy),
+            )
+            # Process results
+            print(f"Crawled {len(results)} pages:")
+            for url_result in results:
+                for result in url_result:
+                    print(f"- {result.url}: {len(result.html)} bytes")
+
+        except Exception as e:
+            print(f"Error during scraping: {e}")
+
+async def basic_example_many_urls_stream():
+    filter_chain = FilterChain(
+        [
+            URLPatternFilter("*/basic/*"),
+            ContentTypeFilter(["text/html"]),
+        ]
+    )
+    # Initialize the strategy with basic configuration
+    bfs_strategy = BFSDeepCrawlStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        process_external_links=False,
+    )
+
+    # Create the crawler
+    async with AsyncWebCrawler(
+        config=browser_config,
+    ) as crawler:
+        # Start scraping
+        try:
+            async for result in await crawler.arun_many(
+                urls=["https://crawl4ai.com/mkdocs","https://aravindkarnam.com"],
+                config=CrawlerRunConfig(deep_crawl_strategy=bfs_strategy,stream=True),
+            ):
+            # Process results
+                print(f"- {result.url}: {len(result.html)} bytes")
+        except Exception as e:
+            print(f"Error during scraping: {e}")
+
+if __name__ == "__main__":
+    import asyncio
+    import time
+
+    # Run basic example
+    start_time = time.perf_counter()
+    print("Running basic Deep crawl example...")
+    asyncio.run(basic_example())
+    end_time = time.perf_counter()
+    print(f"Basic deep crawl example completed in {end_time - start_time:.2f} seconds")
+
+    # Run advanced example
+    print("\nRunning advanced deep crawl example...")
+    asyncio.run(advanced_example())
+
+    print("\nRunning advanced deep crawl example with arun_many...")
+    asyncio.run(basic_example_many_urls())
+
+    print("\nRunning advanced deep crawl example with arun_many streaming enabled...")
+    asyncio.run(basic_example_many_urls_stream())

docs/deep_crawl/filters_scrorers.md

@@ -0,0 +1,342 @@
+# URL Filters and Scorers
+
+The crawl4ai library provides powerful URL filtering and scoring capabilities that help you control and prioritize your web crawling. This guide explains how to use these features effectively.
+
+```mermaid
+flowchart TB
+    Start([URL Input]) --> Chain[Filter Chain]
+    
+    subgraph Chain Process
+        Chain --> Pattern{URL Pattern\nFilter}
+        Pattern -->|Match| Content{Content Type\nFilter}
+        Pattern -->|No Match| Reject1[Reject URL]
+        
+        Content -->|Allowed| Domain{Domain\nFilter}
+        Content -->|Not Allowed| Reject2[Reject URL]
+        
+        Domain -->|Allowed| Accept[Accept URL]
+        Domain -->|Blocked| Reject3[Reject URL]
+    end
+    
+    subgraph Statistics
+        Pattern --> UpdatePattern[Update Pattern Stats]
+        Content --> UpdateContent[Update Content Stats]
+        Domain --> UpdateDomain[Update Domain Stats]
+        Accept --> UpdateChain[Update Chain Stats]
+        Reject1 --> UpdateChain
+        Reject2 --> UpdateChain
+        Reject3 --> UpdateChain
+    end
+    
+    Accept --> End([End])
+    Reject1 --> End
+    Reject2 --> End
+    Reject3 --> End
+    
+    classDef process fill:#90caf9,stroke:#000,stroke-width:2px;
+    classDef decision fill:#fff59d,stroke:#000,stroke-width:2px;
+    classDef reject fill:#ef9a9a,stroke:#000,stroke-width:2px;
+    classDef accept fill:#a5d6a7,stroke:#000,stroke-width:2px;
+    
+    class Start,End accept;
+    class Pattern,Content,Domain decision;
+    class Reject1,Reject2,Reject3 reject;
+    class Chain,UpdatePattern,UpdateContent,UpdateDomain,UpdateChain process;
+```
+
+## URL Filters
+
+URL filters help you control which URLs are crawled. Multiple filters can be chained together to create sophisticated filtering rules.
+
+### Available Filters
+
+1. **URL Pattern Filter**
+```python
+pattern_filter = URLPatternFilter([
+    "*.example.com/*",  # Glob pattern
+    "*/article/*",      # Path pattern
+    re.compile(r"blog-\d+") # Regex pattern
+])
+```
+- Supports glob patterns and regex
+- Multiple patterns per filter
+- Pattern pre-compilation for performance
+
+2. **Content Type Filter**
+```python
+content_filter = ContentTypeFilter([
+    "text/html",
+    "application/pdf"
+], check_extension=True)
+```
+- Filter by MIME types
+- Extension checking
+- Support for multiple content types
+
+3. **Domain Filter**
+```python
+domain_filter = DomainFilter(
+    allowed_domains=["example.com", "blog.example.com"],
+    blocked_domains=["ads.example.com"]
+)
+```
+- Allow/block specific domains
+- Subdomain support
+- Efficient domain matching
+
+### Creating Filter Chains
+
+```python
+# Create and configure a filter chain
+filter_chain = FilterChain([
+    URLPatternFilter(["*.example.com/*"]),
+    ContentTypeFilter(["text/html"]),
+    DomainFilter(blocked_domains=["ads.*"])
+])
+
+# Add more filters
+filter_chain.add_filter(
+    URLPatternFilter(["*/article/*"])
+)
+```
+
+```mermaid
+flowchart TB
+    Start([URL Input]) --> Composite[Composite Scorer]
+    
+    subgraph Scoring Process
+        Composite --> Keywords[Keyword Relevance]
+        Composite --> Path[Path Depth]
+        Composite --> Content[Content Type]
+        Composite --> Fresh[Freshness]
+        Composite --> Domain[Domain Authority]
+        
+        Keywords --> KeywordScore[Calculate Score]
+        Path --> PathScore[Calculate Score]
+        Content --> ContentScore[Calculate Score]
+        Fresh --> FreshScore[Calculate Score]
+        Domain --> DomainScore[Calculate Score]
+        
+        KeywordScore --> Weight1[Apply Weight]
+        PathScore --> Weight2[Apply Weight]
+        ContentScore --> Weight3[Apply Weight]
+        FreshScore --> Weight4[Apply Weight]
+        DomainScore --> Weight5[Apply Weight]
+    end
+    
+    Weight1 --> Combine[Combine Scores]
+    Weight2 --> Combine
+    Weight3 --> Combine
+    Weight4 --> Combine
+    Weight5 --> Combine
+    
+    Combine --> Normalize{Normalize?}
+    Normalize -->|Yes| NormalizeScore[Normalize Combined Score]
+    Normalize -->|No| FinalScore[Final Score]
+    NormalizeScore --> FinalScore
+    
+    FinalScore --> Stats[Update Statistics]
+    Stats --> End([End])
+    
+    classDef process fill:#90caf9,stroke:#000,stroke-width:2px;
+    classDef scorer fill:#fff59d,stroke:#000,stroke-width:2px;
+    classDef calc fill:#a5d6a7,stroke:#000,stroke-width:2px;
+    classDef decision fill:#ef9a9a,stroke:#000,stroke-width:2px;
+    
+    class Start,End calc;
+    class Keywords,Path,Content,Fresh,Domain scorer;
+    class KeywordScore,PathScore,ContentScore,FreshScore,DomainScore process;
+    class Normalize decision;
+```
+
+## URL Scorers
+
+URL scorers help prioritize which URLs to crawl first. Higher scores indicate higher priority.
+
+### Available Scorers
+
+1. **Keyword Relevance Scorer**
+```python
+keyword_scorer = KeywordRelevanceScorer(
+    keywords=["python", "programming"],
+    weight=1.0,
+    case_sensitive=False
+)
+```
+- Score based on keyword matches
+- Case sensitivity options
+- Weighted scoring
+
+2. **Path Depth Scorer**
+```python
+path_scorer = PathDepthScorer(
+    optimal_depth=3,  # Preferred URL depth
+    weight=0.7
+)
+```
+- Score based on URL path depth
+- Configurable optimal depth
+- Diminishing returns for deeper paths
+
+3. **Content Type Scorer**
+```python
+content_scorer = ContentTypeScorer({
+    r'\.html$': 1.0,
+    r'\.pdf$': 0.8,
+    r'\.xml$': 0.6
+})
+```
+- Score based on file types
+- Configurable type weights
+- Pattern matching support
+
+4. **Freshness Scorer**
+```python
+freshness_scorer = FreshnessScorer(weight=0.9)
+```
+- Score based on date indicators in URLs
+- Multiple date format support
+- Recency weighting
+
+5. **Domain Authority Scorer**
+```python
+authority_scorer = DomainAuthorityScorer({
+    "python.org": 1.0,
+    "github.com": 0.9,
+    "medium.com": 0.7
+})
+```
+- Score based on domain importance
+- Configurable domain weights
+- Default weight for unknown domains
+
+### Combining Scorers
+
+```python
+# Create a composite scorer
+composite_scorer = CompositeScorer([
+    KeywordRelevanceScorer(["python"], weight=1.0),
+    PathDepthScorer(optimal_depth=2, weight=0.7),
+    FreshnessScorer(weight=0.8)
+], normalize=True)
+```
+
+## Best Practices
+
+### Filter Configuration
+
+1. **Start Restrictive**
+   ```python
+   # Begin with strict filters
+   filter_chain = FilterChain([
+       DomainFilter(allowed_domains=["example.com"]),
+       ContentTypeFilter(["text/html"])
+   ])
+   ```
+
+2. **Layer Filters**
+   ```python
+   # Add more specific filters
+   filter_chain.add_filter(
+       URLPatternFilter(["*/article/*", "*/blog/*"])
+   )
+   ```
+
+3. **Monitor Filter Statistics**
+   ```python
+   # Check filter performance
+   for filter in filter_chain.filters:
+       print(f"{filter.name}: {filter.stats.rejected_urls} rejected")
+   ```
+
+### Scorer Configuration
+
+1. **Balance Weights**
+   ```python
+   # Balanced scoring configuration
+   scorer = create_balanced_scorer()
+   ```
+
+2. **Customize for Content**
+   ```python
+   # News site configuration
+   news_scorer = CompositeScorer([
+       KeywordRelevanceScorer(["news", "article"], weight=1.0),
+       FreshnessScorer(weight=1.0),
+       PathDepthScorer(optimal_depth=2, weight=0.5)
+   ])
+   ```
+
+3. **Monitor Scoring Statistics**
+   ```python
+   # Check scoring distribution
+   print(f"Average score: {scorer.stats.average_score}")
+   print(f"Score range: {scorer.stats.min_score} - {scorer.stats.max_score}")
+   ```
+
+## Common Use Cases
+
+### Blog Crawling
+```python
+blog_config = {
+    'filters': FilterChain([
+        URLPatternFilter(["*/blog/*", "*/post/*"]),
+        ContentTypeFilter(["text/html"])
+    ]),
+    'scorer': CompositeScorer([
+        FreshnessScorer(weight=1.0),
+        KeywordRelevanceScorer(["blog", "article"], weight=0.8)
+    ])
+}
+```
+
+### Documentation Sites
+```python
+docs_config = {
+    'filters': FilterChain([
+        URLPatternFilter(["*/docs/*", "*/guide/*"]),
+        ContentTypeFilter(["text/html", "application/pdf"])
+    ]),
+    'scorer': CompositeScorer([
+        PathDepthScorer(optimal_depth=3, weight=1.0),
+        KeywordRelevanceScorer(["guide", "tutorial"], weight=0.9)
+    ])
+}
+```
+
+### E-commerce Sites
+```python
+ecommerce_config = {
+    'filters': FilterChain([
+        URLPatternFilter(["*/product/*", "*/category/*"]),
+        DomainFilter(blocked_domains=["ads.*", "tracker.*"])
+    ]),
+    'scorer': CompositeScorer([
+        PathDepthScorer(optimal_depth=2, weight=1.0),
+        ContentTypeScorer({
+            r'/product/': 1.0,
+            r'/category/': 0.8
+        })
+    ])
+}
+```
+
+## Advanced Topics
+
+### Custom Filters
+```python
+class CustomFilter(URLFilter):
+    def apply(self, url: str) -> bool:
+        # Your custom filtering logic
+        return True
+```
+
+### Custom Scorers
+```python
+class CustomScorer(URLScorer):
+    def _calculate_score(self, url: str) -> float:
+        # Your custom scoring logic
+        return 1.0
+```
+
+For more examples, check our [example repository](https://github.com/example/crawl4ai/examples).

docs/deep_crawl/how_to_use.md

@@ -0,0 +1,206 @@
+# Scraper Examples Guide
+
+This guide provides two complete examples of using the crawl4ai scraper: a basic implementation for simple use cases and an advanced implementation showcasing all features.
+
+## Basic Example
+
+The basic example demonstrates a simple blog scraping scenario:
+
+```python
+from crawl4ai.scraper import AsyncWebScraper, BFSScraperStrategy, FilterChain
+
+# Create simple filter chain
+filter_chain = FilterChain([
+    URLPatternFilter("*/blog/*"),
+    ContentTypeFilter(["text/html"])
+])
+
+# Initialize strategy
+strategy = BFSScraperStrategy(
+    max_depth=2,
+    filter_chain=filter_chain,
+    url_scorer=None,
+    max_concurrent=3
+)
+
+# Create and run scraper
+crawler = AsyncWebCrawler()
+scraper = AsyncWebScraper(crawler, strategy)
+result = await scraper.ascrape("https://example.com/blog/")
+```
+
+### Features Demonstrated
+- Basic URL filtering
+- Simple content type filtering
+- Depth control
+- Concurrent request limiting
+- Result collection
+
+## Advanced Example
+
+The advanced example shows a sophisticated news site scraping setup with all features enabled:
+
+```python
+# Create comprehensive filter chain
+filter_chain = FilterChain([
+    DomainFilter(
+        allowed_domains=["example.com"],
+        blocked_domains=["ads.example.com"]
+    ),
+    URLPatternFilter([
+        "*/article/*",
+        re.compile(r"\d{4}/\d{2}/.*")
+    ]),
+    ContentTypeFilter(["text/html"])
+])
+
+# Create intelligent scorer
+scorer = CompositeScorer([
+    KeywordRelevanceScorer(
+        keywords=["news", "breaking"],
+        weight=1.0
+    ),
+    PathDepthScorer(optimal_depth=3, weight=0.7),
+    FreshnessScorer(weight=0.9)
+])
+
+# Initialize advanced strategy
+strategy = BFSScraperStrategy(
+    max_depth=4,
+    filter_chain=filter_chain,
+    url_scorer=scorer,
+    max_concurrent=5
+)
+```
+
+### Features Demonstrated
+1. **Advanced Filtering**
+   - Domain filtering
+   - Pattern matching
+   - Content type control
+
+2. **Intelligent Scoring**
+   - Keyword relevance
+   - Path optimization
+   - Freshness priority
+
+3. **Monitoring**
+   - Progress tracking
+   - Error handling
+   - Statistics collection
+
+4. **Resource Management**
+   - Concurrent processing
+   - Rate limiting
+   - Cleanup handling
+
+## Running the Examples
+
+```bash
+# Basic usage
+python basic_scraper_example.py
+
+# Advanced usage with logging
+PYTHONPATH=. python advanced_scraper_example.py
+```
+
+## Example Output
+
+### Basic Example
+```
+Crawled 15 pages:
+- https://example.com/blog/post1: 24560 bytes
+- https://example.com/blog/post2: 18920 bytes
+...
+```
+
+### Advanced Example
+```
+INFO: Starting crawl of https://example.com/news/
+INFO: Processed: https://example.com/news/breaking/story1
+DEBUG: KeywordScorer: 0.85
+DEBUG: FreshnessScorer: 0.95
+INFO: Progress: 10 URLs processed
+...
+INFO: Scraping completed:
+INFO: - URLs processed: 50
+INFO: - Errors: 2
+INFO: - Total content size: 1240.50 KB
+```
+
+## Customization
+
+### Adding Custom Filters
+```python
+class CustomFilter(URLFilter):
+    def apply(self, url: str) -> bool:
+        # Your custom filtering logic
+        return True
+
+filter_chain.add_filter(CustomFilter())
+```
+
+### Custom Scoring Logic
+```python
+class CustomScorer(URLScorer):
+    def _calculate_score(self, url: str) -> float:
+        # Your custom scoring logic
+        return 1.0
+
+scorer = CompositeScorer([
+    CustomScorer(weight=1.0),
+    ...
+])
+```
+
+## Best Practices
+
+1. **Start Simple**
+   - Begin with basic filtering
+   - Add features incrementally
+   - Test thoroughly at each step
+
+2. **Monitor Performance**
+   - Watch memory usage
+   - Track processing times
+   - Adjust concurrency as needed
+
+3. **Handle Errors**
+   - Implement proper error handling
+   - Log important events
+   - Track error statistics
+
+4. **Optimize Resources**
+   - Set appropriate delays
+   - Limit concurrent requests
+   - Use streaming for large crawls
+
+## Troubleshooting
+
+Common issues and solutions:
+
+1. **Too Many Requests**
+   ```python
+   strategy = BFSScraperStrategy(
+       max_concurrent=3,  # Reduce concurrent requests
+       min_crawl_delay=2  # Increase delay between requests
+   )
+   ```
+
+2. **Memory Issues**
+   ```python
+   # Use streaming mode for large crawls
+   async for result in scraper.ascrape(url, stream=True):
+       process_result(result)
+   ```
+
+3. **Missing Content**
+   ```python
+   # Check your filter chain
+   filter_chain = FilterChain([
+       URLPatternFilter("*"),  # Broaden patterns
+       ContentTypeFilter(["*"])  # Accept all content
+   ])
+   ```
+
+For more examples and use cases, visit our [GitHub repository](https://github.com/example/crawl4ai/examples).

docs/md_v2/basic/installation.md

@@ -134,4 +134,4 @@ This script should successfully crawl the example website and print the first 50
 
 If you encounter any issues during installation or usage, please check the [documentation](https://docs.crawl4ai.com/) or raise an issue on the [GitHub repository](https://github.com/unclecode/crawl4ai/issues).
 
-Happy crawling! 🕷️🤖
+Happy crawling! 🕷️🤖

tests/test_scraper.py

@@ -0,0 +1,184 @@
+# basic_scraper_example.py
+from crawl4ai.scraper import (
+    AsyncWebScraper,
+    BFSScraperStrategy,
+    FilterChain,
+    URLPatternFilter,
+    ContentTypeFilter
+)
+from crawl4ai.async_webcrawler import AsyncWebCrawler
+
+async def basic_scraper_example():
+    """
+    Basic example: Scrape a blog site for articles
+    - Crawls only HTML pages
+    - Stays within the blog section
+    - Collects all results at once
+    """
+    # Create a simple filter chain
+    filter_chain = FilterChain([
+        # Only crawl pages within the blog section
+        URLPatternFilter("*/blog/*"),
+        # Only process HTML pages
+        ContentTypeFilter(["text/html"])
+    ])
+
+    # Initialize the strategy with basic configuration
+    strategy = BFSScraperStrategy(
+        max_depth=2,  # Only go 2 levels deep
+        filter_chain=filter_chain,
+        url_scorer=None,  # Use default scoring
+        max_concurrent=3  # Limit concurrent requests
+    )
+
+    # Create the crawler and scraper
+    crawler = AsyncWebCrawler()
+    scraper = AsyncWebScraper(crawler, strategy)
+
+    # Start scraping
+    try:
+        result = await scraper.ascrape("https://example.com/blog/")
+        
+        # Process results
+        print(f"Crawled {len(result.crawled_urls)} pages:")
+        for url, data in result.extracted_data.items():
+            print(f"- {url}: {len(data.html)} bytes")
+            
+    except Exception as e:
+        print(f"Error during scraping: {e}")
+
+# advanced_scraper_example.py
+import logging
+from crawl4ai.scraper import (
+    AsyncWebScraper,
+    BFSScraperStrategy,
+    FilterChain,
+    URLPatternFilter,
+    ContentTypeFilter,
+    DomainFilter,
+    KeywordRelevanceScorer,
+    PathDepthScorer,
+    FreshnessScorer,
+    CompositeScorer
+)
+from crawl4ai.async_webcrawler import AsyncWebCrawler
+
+async def advanced_scraper_example():
+    """
+    Advanced example: Intelligent news site scraping
+    - Uses all filter types
+    - Implements sophisticated scoring
+    - Streams results
+    - Includes monitoring and logging
+    """
+    # Set up logging
+    logging.basicConfig(level=logging.INFO)
+    logger = logging.getLogger("advanced_scraper")
+
+    # Create sophisticated filter chain
+    filter_chain = FilterChain([
+        # Domain control
+        DomainFilter(
+            allowed_domains=["example.com", "blog.example.com"],
+            blocked_domains=["ads.example.com", "tracker.example.com"]
+        ),
+        # URL patterns
+        URLPatternFilter([
+            "*/article/*",
+            "*/news/*",
+            "*/blog/*",
+            re.compile(r"\d{4}/\d{2}/.*")  # Date-based URLs
+        ]),
+        # Content types
+        ContentTypeFilter([
+            "text/html",
+            "application/xhtml+xml"
+        ])
+    ])
+
+    # Create composite scorer
+    scorer = CompositeScorer([
+        # Prioritize by keywords
+        KeywordRelevanceScorer(
+            keywords=["news", "breaking", "update", "latest"],
+            weight=1.0
+        ),
+        # Prefer optimal URL structure
+        PathDepthScorer(
+            optimal_depth=3,
+            weight=0.7
+        ),
+        # Prioritize fresh content
+        FreshnessScorer(weight=0.9)
+    ])
+
+    # Initialize strategy with advanced configuration
+    strategy = BFSScraperStrategy(
+        max_depth=4,
+        filter_chain=filter_chain,
+        url_scorer=scorer,
+        max_concurrent=5,
+        min_crawl_delay=1
+    )
+
+    # Create crawler and scraper
+    crawler = AsyncWebCrawler()
+    scraper = AsyncWebScraper(crawler, strategy)
+
+    # Track statistics
+    stats = {
+        'processed': 0,
+        'errors': 0,
+        'total_size': 0
+    }
+
+    try:
+        # Use streaming mode
+        async for result in scraper.ascrape("https://example.com/news/", stream=True):
+            stats['processed'] += 1
+            
+            if result.success:
+                stats['total_size'] += len(result.html)
+                logger.info(f"Processed: {result.url}")
+                
+                # Print scoring information
+                for scorer_name, score in result.scores.items():
+                    logger.debug(f"{scorer_name}: {score:.2f}")
+            else:
+                stats['errors'] += 1
+                logger.error(f"Failed to process {result.url}: {result.error_message}")
+
+            # Log progress regularly
+            if stats['processed'] % 10 == 0:
+                logger.info(f"Progress: {stats['processed']} URLs processed")
+
+    except Exception as e:
+        logger.error(f"Scraping error: {e}")
+    
+    finally:
+        # Print final statistics
+        logger.info("Scraping completed:")
+        logger.info(f"- URLs processed: {stats['processed']}")
+        logger.info(f"- Errors: {stats['errors']}")
+        logger.info(f"- Total content size: {stats['total_size'] / 1024:.2f} KB")
+        
+        # Print filter statistics
+        for filter_ in filter_chain.filters:
+            logger.info(f"{filter_.name} stats:")
+            logger.info(f"- Passed: {filter_.stats.passed_urls}")
+            logger.info(f"- Rejected: {filter_.stats.rejected_urls}")
+        
+        # Print scorer statistics
+        logger.info("Scoring statistics:")
+        logger.info(f"- Average score: {scorer.stats.average_score:.2f}")
+        logger.info(f"- Score range: {scorer.stats.min_score:.2f} - {scorer.stats.max_score:.2f}")
+
+if __name__ == "__main__":
+    import asyncio
+    
+    # Run basic example
+    print("Running basic scraper example...")
+    asyncio.run(basic_scraper_example())
+    
+    print("\nRunning advanced scraper example...")
+    asyncio.run(advanced_scraper_example())