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from .__version__ import __version__ as crawl4ai_version
import os
import re
import sys
import time
from pathlib import Path
from typing import Optional, List
import json
import asyncio
# from contextlib import nullcontext, asynccontextmanager
from contextlib import asynccontextmanager
from .models import (
CrawlResult,
MarkdownGenerationResult,
DispatchResult,
ScrapingResult,
CrawlResultContainer,
RunManyReturn
)
from .async_database import async_db_manager
from .chunking_strategy import * # noqa: F403
from .chunking_strategy import IdentityChunking
from .content_filter_strategy import * # noqa: F403
from .extraction_strategy import * # noqa: F403
from .extraction_strategy import NoExtractionStrategy
from .async_crawler_strategy import (
AsyncCrawlerStrategy,
AsyncPlaywrightCrawlerStrategy,
AsyncCrawlResponse,
)
from .cache_context import CacheMode, CacheContext
from .markdown_generation_strategy import (
DefaultMarkdownGenerator,
MarkdownGenerationStrategy,
)
from .deep_crawling import DeepCrawlDecorator
from .async_logger import AsyncLogger, AsyncLoggerBase
from .async_configs import BrowserConfig, CrawlerRunConfig, ProxyConfig, SeedingConfig
from .async_dispatcher import * # noqa: F403
from .async_dispatcher import BaseDispatcher, MemoryAdaptiveDispatcher, RateLimiter
from .async_url_seeder import AsyncUrlSeeder
from .utils import (
sanitize_input_encode,
InvalidCSSSelectorError,
fast_format_html,
get_error_context,
RobotsParser,
preprocess_html_for_schema,
compute_head_fingerprint,
)
from .cache_validator import CacheValidator, CacheValidationResult
from .antibot_detector import is_blocked
class AsyncWebCrawler:
"""
Asynchronous web crawler with flexible caching capabilities.
There are two ways to use the crawler:
1. Using context manager (recommended for simple cases):
```python
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(url="https://example.com")
```
2. Using explicit lifecycle management (recommended for long-running applications):
```python
crawler = AsyncWebCrawler()
await crawler.start()
# Use the crawler multiple times
result1 = await crawler.arun(url="https://example.com")
result2 = await crawler.arun(url="https://another.com")
await crawler.close()
```
Attributes:
browser_config (BrowserConfig): Configuration object for browser settings.
crawler_strategy (AsyncCrawlerStrategy): Strategy for crawling web pages.
logger (AsyncLogger): Logger instance for recording events and errors.
crawl4ai_folder (str): Directory for storing cache.
base_directory (str): Base directory for storing cache.
ready (bool): Whether the crawler is ready for use.
Methods:
start(): Start the crawler explicitly without using context manager.
close(): Close the crawler explicitly without using context manager.
arun(): Run the crawler for a single source: URL (web, local file, or raw HTML).
awarmup(): Perform warmup sequence.
arun_many(): Run the crawler for multiple sources.
aprocess_html(): Process HTML content.
Typical Usage:
async with AsyncWebCrawler() as crawler:
result = await crawler.arun(url="https://example.com")
print(result.markdown)
Using configuration:
browser_config = BrowserConfig(browser_type="chromium", headless=True)
async with AsyncWebCrawler(config=browser_config) as crawler:
crawler_config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS
)
result = await crawler.arun(url="https://example.com", config=crawler_config)
print(result.markdown)
"""
_domain_last_hit = {}
def __init__(
self,
crawler_strategy: AsyncCrawlerStrategy = None,
config: BrowserConfig = None,
base_directory: str = str(
os.getenv("CRAWL4_AI_BASE_DIRECTORY", Path.home())),
thread_safe: bool = False,
logger: AsyncLoggerBase = None,
**kwargs,
):
"""
Initialize the AsyncWebCrawler.
Args:
crawler_strategy: Strategy for crawling web pages. Default AsyncPlaywrightCrawlerStrategy
config: Configuration object for browser settings. Default BrowserConfig()
base_directory: Base directory for storing cache
thread_safe: Whether to use thread-safe operations
**kwargs: Additional arguments for backwards compatibility
"""
# Handle browser configuration
browser_config = config or BrowserConfig()
self.browser_config = browser_config
# Initialize logger first since other components may need it
self.logger = logger or AsyncLogger(
log_file=os.path.join(base_directory, ".crawl4ai", "crawler.log"),
verbose=self.browser_config.verbose,
tag_width=10,
)
# Initialize crawler strategy
params = {k: v for k, v in kwargs.items() if k in [
"browser_config", "logger"]}
self.crawler_strategy = crawler_strategy or AsyncPlaywrightCrawlerStrategy(
browser_config=browser_config,
logger=self.logger,
**params, # Pass remaining kwargs for backwards compatibility
)
# Thread safety setup
self._lock = asyncio.Lock() if thread_safe else None
# Initialize directories
self.crawl4ai_folder = os.path.join(base_directory, ".crawl4ai")
os.makedirs(self.crawl4ai_folder, exist_ok=True)
os.makedirs(f"{self.crawl4ai_folder}/cache", exist_ok=True)
# Initialize robots parser
self.robots_parser = RobotsParser()
self.ready = False
# Decorate arun method with deep crawling capabilities
self._deep_handler = DeepCrawlDecorator(self)
self.arun = self._deep_handler(self.arun)
self.url_seeder: Optional[AsyncUrlSeeder] = None
async def start(self):
"""
Start the crawler explicitly without using context manager.
This is equivalent to using 'async with' but gives more control over the lifecycle.
Returns:
AsyncWebCrawler: The initialized crawler instance
"""
await self.crawler_strategy.__aenter__()
self.logger.info(f"Crawl4AI {crawl4ai_version}", tag="INIT")
self.ready = True
return self
async def close(self):
"""
Close the crawler explicitly without using context manager.
This should be called when you're done with the crawler if you used start().
This method will:
1. Clean up browser resources
2. Close any open pages and contexts
"""
await self.crawler_strategy.__aexit__(None, None, None)
async def __aenter__(self):
return await self.start()
async def __aexit__(self, exc_type, exc_val, exc_tb):
await self.close()
@asynccontextmanager
async def nullcontext(self):
"""异步空上下文管理器"""
yield
async def arun(
self,
url: str,
config: CrawlerRunConfig = None,
**kwargs,
) -> CrawlResultContainer[CrawlResult]:
"""
Runs the crawler for a single source: URL (web, local file, or raw HTML).
Migration Guide:
Old way (deprecated):
result = await crawler.arun(
url="https://example.com",
word_count_threshold=200,
screenshot=True,
...
)
New way (recommended):
config = CrawlerRunConfig(
word_count_threshold=200,
screenshot=True,
...
)
result = await crawler.arun(url="https://example.com", config=config)
Args:
url: The URL to crawl (http://, https://, file://, or raw:)
config: Configuration object controlling crawl behavior
[other parameters maintained for backwards compatibility]
Returns:
CrawlResultContainer[CrawlResult]: A single-result container that proxies
attribute access to the underlying CrawlResult for backwards compatibility.
"""
# Auto-start if not ready
if not self.ready:
await self.start()
config = config or CrawlerRunConfig()
if not isinstance(url, str) or not url:
raise ValueError(
"Invalid URL, make sure the URL is a non-empty string")
async with self._lock or self.nullcontext():
try:
self.logger.verbose = config.verbose
# Default to ENABLED if no cache mode specified
if config.cache_mode is None:
config.cache_mode = CacheMode.ENABLED
# Create cache context
cache_context = CacheContext(url, config.cache_mode, False)
# Initialize processing variables
async_response: AsyncCrawlResponse = None
cached_result: CrawlResult = None
screenshot_data = None
pdf_data = None
extracted_content = None
start_time = time.perf_counter()
# Try to get cached result if appropriate
if cache_context.should_read():
cached_result = await async_db_manager.aget_cached_url(url)
# Smart Cache: Validate cache freshness if enabled
if cached_result and config.check_cache_freshness:
cache_metadata = await async_db_manager.aget_cache_metadata(url)
if cache_metadata:
async with CacheValidator(timeout=config.cache_validation_timeout) as validator:
validation = await validator.validate(
url=url,
stored_etag=cache_metadata.get("etag"),
stored_last_modified=cache_metadata.get("last_modified"),
stored_head_fingerprint=cache_metadata.get("head_fingerprint"),
)
if validation.status == CacheValidationResult.FRESH:
cached_result.cache_status = "hit_validated"
self.logger.info(
message="Cache validated: {reason}",
tag="CACHE",
params={"reason": validation.reason}
)
# Update metadata if we got new values
if validation.new_etag or validation.new_last_modified:
await async_db_manager.aupdate_cache_metadata(
url=url,
etag=validation.new_etag,
last_modified=validation.new_last_modified,
head_fingerprint=validation.new_head_fingerprint,
)
elif validation.status == CacheValidationResult.ERROR:
cached_result.cache_status = "hit_fallback"
self.logger.warning(
message="Cache validation failed, using cached: {reason}",
tag="CACHE",
params={"reason": validation.reason}
)
else:
# STALE or UNKNOWN - force recrawl
self.logger.info(
message="Cache stale: {reason}",
tag="CACHE",
params={"reason": validation.reason}
)
cached_result = None
elif cached_result:
cached_result.cache_status = "hit"
if cached_result:
html = sanitize_input_encode(cached_result.html)
extracted_content = sanitize_input_encode(
cached_result.extracted_content or ""
)
extracted_content = (
None
if not extracted_content or extracted_content == "[]"
else extracted_content
)
# If screenshot is requested but its not in cache, then set cache_result to None
screenshot_data = cached_result.screenshot
pdf_data = cached_result.pdf
# if config.screenshot and not screenshot or config.pdf and not pdf:
if config.screenshot and not screenshot_data:
cached_result = None
if config.pdf and not pdf_data:
cached_result = None
self.logger.url_status(
url=cache_context.display_url,
success=bool(html),
timing=time.perf_counter() - start_time,
tag="FETCH",
)
# Update proxy configuration from rotation strategy if available
if config and config.proxy_rotation_strategy:
# Handle sticky sessions - use same proxy for all requests with same session_id
if config.proxy_session_id:
next_proxy: ProxyConfig = await config.proxy_rotation_strategy.get_proxy_for_session(
config.proxy_session_id,
ttl=config.proxy_session_ttl
)
if next_proxy:
self.logger.info(
message="Using sticky proxy session: {session_id} -> {proxy}",
tag="PROXY",
params={
"session_id": config.proxy_session_id,
"proxy": next_proxy.server
}
)
config.proxy_config = next_proxy
else:
# Existing behavior: rotate on each request
next_proxy: ProxyConfig = await config.proxy_rotation_strategy.get_next_proxy()
if next_proxy:
self.logger.info(
message="Switch proxy: {proxy}",
tag="PROXY",
params={"proxy": next_proxy.server}
)
config.proxy_config = next_proxy
# Fetch fresh content if needed
if not cached_result or not html:
from urllib.parse import urlparse
# Check robots.txt if enabled (once, before any attempts)
if config and config.check_robots_txt:
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"
},
)
# --- Anti-bot retry setup ---
# raw: URLs contain caller-provided HTML (e.g. from cache),
# not content fetched from a web server. Anti-bot detection,
# proxy retries, and fallback fetching are meaningless here.
_is_raw_url = url.startswith("raw:") or url.startswith("raw://")
_max_attempts = 1 + getattr(config, "max_retries", 0)
_proxy_list = config._get_proxy_list()
_original_proxy_config = config.proxy_config
_block_reason = ""
_done = False
crawl_result = None
_crawl_stats = {
"attempts": 0,
"retries": 0,
"proxies_used": [],
"fallback_fetch_used": False,
"resolved_by": None,
}
for _attempt in range(_max_attempts):
if _done:
break
if _attempt > 0:
_crawl_stats["retries"] = _attempt
self.logger.warning(
message="Anti-bot retry {attempt}/{max_retries} for {url} — {reason}",
tag="ANTIBOT",
params={
"attempt": _attempt,
"max_retries": config.max_retries,
"url": url[:80],
"reason": _block_reason,
},
)
for _p_idx, _proxy in enumerate(_proxy_list):
if _p_idx > 0 or _attempt > 0:
self.logger.info(
message="Trying proxy {idx}/{total}: {proxy}",
tag="ANTIBOT",
params={
"idx": _p_idx + 1,
"total": len(_proxy_list),
"proxy": _proxy.server if _proxy else "direct",
},
)
# Set the active proxy for this attempt
config.proxy_config = _proxy
_crawl_stats["attempts"] += 1
try:
t1 = time.perf_counter()
if config.user_agent:
self.crawler_strategy.update_user_agent(
config.user_agent)
async_response = await self.crawler_strategy.crawl(
url, config=config)
html = sanitize_input_encode(async_response.html)
screenshot_data = async_response.screenshot
pdf_data = async_response.pdf_data
js_execution_result = async_response.js_execution_result
self.logger.url_status(
url=cache_context.display_url,
success=bool(html),
timing=time.perf_counter() - t1,
tag="FETCH",
)
crawl_result = await self.aprocess_html(
url=url, html=html,
extracted_content=extracted_content,
config=config,
screenshot_data=screenshot_data,
pdf_data=pdf_data,
verbose=config.verbose,
is_raw_html=True if url.startswith("raw:") else False,
redirected_url=async_response.redirected_url,
original_scheme=urlparse(url).scheme,
**kwargs,
)
crawl_result.status_code = async_response.status_code
is_raw_url = url.startswith("raw:") or url.startswith("raw://")
crawl_result.redirected_url = async_response.redirected_url or (None if is_raw_url else url)
crawl_result.redirected_status_code = async_response.redirected_status_code
crawl_result.response_headers = async_response.response_headers
crawl_result.downloaded_files = async_response.downloaded_files
crawl_result.js_execution_result = js_execution_result
crawl_result.mhtml = async_response.mhtml_data
crawl_result.ssl_certificate = async_response.ssl_certificate
crawl_result.network_requests = async_response.network_requests
crawl_result.console_messages = async_response.console_messages
crawl_result.success = bool(html)
crawl_result.session_id = getattr(config, "session_id", None)
crawl_result.cache_status = "miss"
# Check if blocked (skip for raw: URLs —
# caller-provided content, anti-bot N/A)
if _is_raw_url:
_blocked = False
_block_reason = ""
else:
_blocked, _block_reason = is_blocked(
async_response.status_code, html)
_crawl_stats["proxies_used"].append({
"proxy": _proxy.server if _proxy else None,
"status_code": async_response.status_code,
"blocked": _blocked,
"reason": _block_reason if _blocked else "",
})
if not _blocked:
_crawl_stats["resolved_by"] = "proxy" if _proxy else "direct"
_done = True
break # Success — exit proxy loop
except Exception as _crawl_err:
_crawl_stats["proxies_used"].append({
"proxy": _proxy.server if _proxy else None,
"status_code": None,
"blocked": True,
"reason": str(_crawl_err),
})
self.logger.error_status(
url=url,
error=f"Proxy {_proxy.server if _proxy else 'direct'} failed: {_crawl_err}",
tag="ANTIBOT",
)
_block_reason = str(_crawl_err)
# If this is the only proxy and only attempt, re-raise
# so the caller gets the real error (not a silent swallow).
# But if there are more proxies or retries to try, continue.
if len(_proxy_list) <= 1 and _max_attempts <= 1:
raise
# Restore original proxy_config
config.proxy_config = _original_proxy_config
# --- Fallback fetch function (last resort after all retries+proxies exhausted) ---
# Invoke fallback when: (a) crawl_result exists but is blocked, OR
# (b) crawl_result is None because all proxies threw exceptions (browser crash, timeout).
# Skip for raw: URLs — fallback expects a real URL, not raw HTML content.
_fallback_fn = getattr(config, "fallback_fetch_function", None)
if _fallback_fn and not _done and not _is_raw_url:
_needs_fallback = (
crawl_result is None # All proxies threw exceptions
or is_blocked(crawl_result.status_code, crawl_result.html or "")[0]
)
if _needs_fallback:
self.logger.warning(
message="All retries exhausted, invoking fallback_fetch_function for {url}",
tag="ANTIBOT",
params={"url": url[:80]},
)
_crawl_stats["fallback_fetch_used"] = True
try:
_fallback_html = await _fallback_fn(url)
if _fallback_html:
_sanitized_html = sanitize_input_encode(_fallback_html)
try:
crawl_result = await self.aprocess_html(
url=url,
html=_sanitized_html,
extracted_content=extracted_content,
config=config,
screenshot_data=None,
pdf_data=None,
verbose=config.verbose,
is_raw_html=True,
redirected_url=url,
original_scheme=urlparse(url).scheme,
**kwargs,
)
except Exception as _proc_err:
# aprocess_html may fail if browser is dead (e.g.,
# consent popup removal needs Page.evaluate).
# Fall back to a minimal result with raw HTML.
self.logger.warning(
message="Fallback HTML processing failed ({err}), using raw HTML",
tag="ANTIBOT",
params={"err": str(_proc_err)[:100]},
)
crawl_result = CrawlResult(
url=url,
html=_sanitized_html,
success=True,
status_code=200,
)
crawl_result.success = True
crawl_result.status_code = 200
crawl_result.session_id = getattr(config, "session_id", None)
crawl_result.cache_status = "miss"
_crawl_stats["resolved_by"] = "fallback_fetch"
except Exception as _fallback_err:
self.logger.error_status(
url=url,
error=f"Fallback fetch failed: {_fallback_err}",
tag="ANTIBOT",
)
# --- Mark blocked results as failed ---
# Skip re-check ONLY when fallback SUCCEEDED — the fallback result
# is authoritative and real pages may contain anti-bot script markers
# (e.g. PerimeterX JS on Walmart) that trigger false positives.
# When fallback was attempted but FAILED, we must still re-check
# because the result is from a blocked proxy attempt.
# Also skip for raw: URLs — caller-provided content, anti-bot N/A.
if crawl_result:
_fallback_succeeded = _crawl_stats.get("resolved_by") == "fallback_fetch"
if not _fallback_succeeded and not _is_raw_url:
_blocked, _block_reason = is_blocked(
crawl_result.status_code, crawl_result.html or "")
if _blocked:
crawl_result.success = False
crawl_result.error_message = f"Blocked by anti-bot protection: {_block_reason}"
crawl_result.crawl_stats = _crawl_stats
else:
# All proxies threw exceptions and fallback either wasn't
# configured or also failed. Build a minimal result so the
# caller gets crawl_stats instead of None.
crawl_result = CrawlResult(
url=url,
html="",
success=False,
status_code=None,
error_message=f"All proxies failed: {_block_reason}" if _block_reason else "All proxies failed",
)
crawl_result.crawl_stats = _crawl_stats
# Compute head fingerprint for cache validation
if crawl_result and crawl_result.html:
head_end = crawl_result.html.lower().find('</head>')
if head_end != -1:
head_html = crawl_result.html[:head_end + 7]
crawl_result.head_fingerprint = compute_head_fingerprint(head_html)
self.logger.url_status(
url=cache_context.display_url,
success=crawl_result.success if crawl_result else False,
timing=time.perf_counter() - start_time,
tag="COMPLETE",
)
# Update cache if appropriate
if cache_context.should_write() and not bool(cached_result):
await async_db_manager.acache_url(crawl_result)
return CrawlResultContainer(crawl_result)
else:
self.logger.url_status(
url=cache_context.display_url,
success=True,
timing=time.perf_counter() - start_time,
tag="COMPLETE"
)
cached_result.success = bool(html)
cached_result.session_id = getattr(
config, "session_id", None)
# For raw: URLs, don't fall back to the raw HTML string as redirected_url
is_raw_url = url.startswith("raw:") or url.startswith("raw://")
cached_result.redirected_url = cached_result.redirected_url or (None if is_raw_url else url)
return CrawlResultContainer(cached_result)
except Exception as e:
error_context = get_error_context(sys.exc_info())
error_message = (
f"Unexpected error in _crawl_web at line {error_context['line_no']} "
f"in {error_context['function']} ({error_context['filename']}):\n"
f"Error: {str(e)}\n\n"
f"Code context:\n{error_context['code_context']}"
)
self.logger.error_status(
url=url,
error=error_message,
tag="ERROR",
)
return CrawlResultContainer(
CrawlResult(
url=url, html="", success=False, error_message=error_message
)
)
async def aprocess_html(
self,
url: str,
html: str,
extracted_content: str,
config: CrawlerRunConfig,
screenshot_data: str,
pdf_data: str,
verbose: bool,
**kwargs,
) -> CrawlResult:
"""
Process HTML content using the provided configuration.
Args:
url: The URL being processed
html: Raw HTML content
extracted_content: Previously extracted content (if any)
config: Configuration object controlling processing behavior
screenshot_data: Screenshot data (if any)
pdf_data: PDF data (if any)
verbose: Whether to enable verbose logging
**kwargs: Additional parameters for backwards compatibility
Returns:
CrawlResult: Processed result containing extracted and formatted content
"""
# === PREFETCH MODE SHORT-CIRCUIT ===
if getattr(config, 'prefetch', False):
from .utils import quick_extract_links
# Use base_url from config (for raw: URLs), redirected_url, or original url
effective_url = getattr(config, 'base_url', None) or kwargs.get('redirected_url') or url
links = quick_extract_links(html, effective_url)
return CrawlResult(
url=url,
html=html,
success=True,
links=links,
status_code=kwargs.get('status_code'),
response_headers=kwargs.get('response_headers'),
redirected_url=kwargs.get('redirected_url'),
ssl_certificate=kwargs.get('ssl_certificate'),
# All other fields default to None
)
# === END PREFETCH SHORT-CIRCUIT ===
cleaned_html = ""
try:
_url = url if not kwargs.get("is_raw_html", False) else "Raw HTML"
t1 = time.perf_counter()
# Get scraping strategy and ensure it has a logger
scraping_strategy = config.scraping_strategy
if not scraping_strategy.logger:
scraping_strategy.logger = self.logger
# Process HTML content
params = config.__dict__.copy()
params.pop("url", None)
# add keys from kwargs to params that doesn't exist in params
params.update({k: v for k, v in kwargs.items()
if k not in params.keys()})
################################
# Scraping Strategy Execution #
################################
result: ScrapingResult = scraping_strategy.scrap(
url, html, **params)
if result is None:
raise ValueError(
f"Process HTML, Failed to extract content from the website: {url}"
)
except InvalidCSSSelectorError as e:
raise ValueError(str(e))
except Exception as e:
raise ValueError(
f"Process HTML, Failed to extract content from the website: {url}, error: {str(e)}"
)
# Extract results - handle both dict and ScrapingResult
if isinstance(result, dict):
cleaned_html = sanitize_input_encode(
result.get("cleaned_html", ""))
media = result.get("media", {})
tables = media.pop("tables", []) if isinstance(media, dict) else []
links = result.get("links", {})
metadata = result.get("metadata", {})
else:
cleaned_html = sanitize_input_encode(result.cleaned_html)
# media = result.media.model_dump()
# tables = media.pop("tables", [])
# links = result.links.model_dump()
media = result.media.model_dump() if hasattr(result.media, 'model_dump') else result.media
tables = media.pop("tables", []) if isinstance(media, dict) else []
links = result.links.model_dump() if hasattr(result.links, 'model_dump') else result.links
metadata = result.metadata
fit_html = preprocess_html_for_schema(html_content=html, text_threshold= 500, max_size= 300_000)
################################
# Generate Markdown #
################################
markdown_generator: Optional[MarkdownGenerationStrategy] = (
config.markdown_generator or DefaultMarkdownGenerator()
)
# --- SELECT HTML SOURCE BASED ON CONTENT_SOURCE ---
# Get the desired source from the generator config, default to 'cleaned_html'
selected_html_source = getattr(markdown_generator, 'content_source', 'cleaned_html')
# Define the source selection logic using dict dispatch
html_source_selector = {
"raw_html": lambda: html, # The original raw HTML
"cleaned_html": lambda: cleaned_html, # The HTML after scraping strategy
"fit_html": lambda: fit_html, # The HTML after preprocessing for schema
}
markdown_input_html = cleaned_html # Default to cleaned_html
try:
# Get the appropriate lambda function, default to returning cleaned_html if key not found
source_lambda = html_source_selector.get(selected_html_source, lambda: cleaned_html)
# Execute the lambda to get the selected HTML
markdown_input_html = source_lambda()
# Log which source is being used (optional, but helpful for debugging)
# if self.logger and verbose:
# actual_source_used = selected_html_source if selected_html_source in html_source_selector else 'cleaned_html (default)'
# self.logger.debug(f"Using '{actual_source_used}' as source for Markdown generation for {url}", tag="MARKDOWN_SRC")
except Exception as e:
# Handle potential errors, especially from preprocess_html_for_schema
if self.logger:
self.logger.warning(
f"Error getting/processing '{selected_html_source}' for markdown source: {e}. Falling back to cleaned_html.",
tag="MARKDOWN_SRC"
)
# Ensure markdown_input_html is still the default cleaned_html in case of error
markdown_input_html = cleaned_html
# --- END: HTML SOURCE SELECTION ---
# Uncomment if by default we want to use PruningContentFilter
# if not config.content_filter and not markdown_generator.content_filter:
# markdown_generator.content_filter = PruningContentFilter()
# Extract <base href> from raw HTML before it gets stripped by cleaning.
# This ensures relative URLs resolve correctly even with cleaned_html.
base_url = params.get("base_url") or params.get("redirected_url") or url
base_tag_match = re.search(r'<base\s[^>]*href\s*=\s*["\']([^"\']+)["\']', html, re.IGNORECASE)
if base_tag_match:
base_url = base_tag_match.group(1)
markdown_result: MarkdownGenerationResult = (
markdown_generator.generate_markdown(
input_html=markdown_input_html,
base_url=base_url
# html2text_options=kwargs.get('html2text', {})
)
)
# Log processing completion
self.logger.url_status(
url=_url,
success=True,
timing=int((time.perf_counter() - t1) * 1000) / 1000,
tag="SCRAPE"
)
# self.logger.info(
# message="{url:.50}... | Time: {timing}s",
# tag="SCRAPE",
# params={"url": _url, "timing": int((time.perf_counter() - t1) * 1000) / 1000},
# )
################################
# Structured Content Extraction #
################################
if (
not bool(extracted_content)
and config.extraction_strategy
and not isinstance(config.extraction_strategy, NoExtractionStrategy)
):
t1 = time.perf_counter()
# Choose content based on input_format
content_format = config.extraction_strategy.input_format
if content_format == "fit_markdown" and not markdown_result.fit_markdown:
self.logger.url_status(
url=_url,
success=bool(html),
timing=time.perf_counter() - t1,
tag="EXTRACT",
)
content_format = "markdown"
content = {
"markdown": markdown_result.raw_markdown,
"html": html,
"fit_html": fit_html,
"cleaned_html": cleaned_html,
"fit_markdown": markdown_result.fit_markdown,
}.get(content_format, markdown_result.raw_markdown)
# Use IdentityChunking for HTML input, otherwise use provided chunking strategy
chunking = (
IdentityChunking()
if content_format in ["html", "cleaned_html", "fit_html"]
else config.chunking_strategy
)
sections = chunking.chunk(content)
# extracted_content = config.extraction_strategy.run(_url, sections)
# Use async version if available for better parallelism
if hasattr(config.extraction_strategy, 'arun'):
extracted_content = await config.extraction_strategy.arun(_url, sections)
else:
# Fallback to sync version run in thread pool to avoid blocking
extracted_content = await asyncio.to_thread(
config.extraction_strategy.run, url, sections
)
extracted_content = json.dumps(
extracted_content, indent=4, default=str, ensure_ascii=False
)
# Log extraction completion
self.logger.url_status(
url=_url,
success=bool(html),
timing=time.perf_counter() - t1,
tag="EXTRACT",
)
# Apply HTML formatting if requested
if config.prettiify:
cleaned_html = fast_format_html(cleaned_html)
# Return complete crawl result
return CrawlResult(
url=url,
html=html,
fit_html=fit_html,
cleaned_html=cleaned_html,
markdown=markdown_result,
media=media,
tables=tables, # NEW
links=links,
metadata=metadata,
screenshot=screenshot_data,
pdf=pdf_data,
extracted_content=extracted_content,
success=True,
error_message="",
)
async def arun_many(
self,
urls: List[str],
config: Optional[Union[CrawlerRunConfig, List[CrawlerRunConfig]]] = None,
dispatcher: Optional[BaseDispatcher] = None,
# Legacy parameters maintained for backwards compatibility
# word_count_threshold=MIN_WORD_THRESHOLD,
# extraction_strategy: ExtractionStrategy = None,
# chunking_strategy: ChunkingStrategy = RegexChunking(),
# content_filter: RelevantContentFilter = None,
# cache_mode: Optional[CacheMode] = None,
# bypass_cache: bool = False,
# css_selector: str = None,
# screenshot: bool = False,
# pdf: bool = False,
# user_agent: str = None,
# verbose=True,
**kwargs,
) -> RunManyReturn:
"""
Runs the crawler for multiple URLs concurrently using a configurable dispatcher strategy.
Args:
urls: List of URLs to crawl
config: Configuration object(s) controlling crawl behavior. Can be:
- Single CrawlerRunConfig: Used for all URLs
- List[CrawlerRunConfig]: Configs with url_matcher for URL-specific settings
dispatcher: The dispatcher strategy instance to use. Defaults to MemoryAdaptiveDispatcher
[other parameters maintained for backwards compatibility]
Returns:
Union[List[CrawlResult], AsyncGenerator[CrawlResult, None]]:
Either a list of all results or an async generator yielding results
Examples:
# Batch processing (default)
results = await crawler.arun_many(
urls=["https://example1.com", "https://example2.com"],
config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
)
for result in results:
print(f"Processed {result.url}: {len(result.markdown)} chars")
# Streaming results
async for result in await crawler.arun_many(
urls=["https://example1.com", "https://example2.com"],
config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS, stream=True),
):
print(f"Processed {result.url}: {len(result.markdown)} chars")
"""
config = config or CrawlerRunConfig()