Feature: Add Markdown generation to CrawlerRunConfig
- Added markdown generator parameter to CrawlerRunConfig in `async_configs.py`. - Implemented logic for Markdown generation in content scraping in `async_webcrawler.py`. - Updated version number to 0.4.21 in `__version__.py`.
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@ -1,2 +1,2 @@
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# crawl4ai/_version.py
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__version__ = "0.4.2"
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__version__ = "0.4.21"
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@ -7,6 +7,7 @@ from .config import (
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from .user_agent_generator import UserAgentGenerator
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from .extraction_strategy import ExtractionStrategy
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from .chunking_strategy import ChunkingStrategy
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from .markdown_generation_strategy import MarkdownGenerationStrategy
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class BrowserConfig:
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"""
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@ -269,6 +270,7 @@ class CrawlerRunConfig:
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word_count_threshold: int = MIN_WORD_THRESHOLD ,
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extraction_strategy : ExtractionStrategy=None, # Will default to NoExtractionStrategy if None
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chunking_strategy : ChunkingStrategy= None, # Will default to RegexChunking if None
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markdown_generator : MarkdownGenerationStrategy = None,
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content_filter=None,
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cache_mode=None,
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session_id: str = None,
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@ -309,6 +311,7 @@ class CrawlerRunConfig:
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self.word_count_threshold = word_count_threshold
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self.extraction_strategy = extraction_strategy
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self.chunking_strategy = chunking_strategy
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self.markdown_generator = markdown_generator
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self.content_filter = content_filter
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self.cache_mode = cache_mode
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self.session_id = session_id
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@ -364,6 +367,7 @@ class CrawlerRunConfig:
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word_count_threshold=kwargs.get("word_count_threshold", 200),
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extraction_strategy=kwargs.get("extraction_strategy"),
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chunking_strategy=kwargs.get("chunking_strategy"),
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markdown_generator=kwargs.get("markdown_generator"),
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content_filter=kwargs.get("content_filter"),
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cache_mode=kwargs.get("cache_mode"),
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session_id=kwargs.get("session_id"),
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@ -7,7 +7,8 @@ from pathlib import Path
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from typing import Optional, List, Union
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import json
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import asyncio
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from contextlib import nullcontext, asynccontextmanager
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# from contextlib import nullcontext, asynccontextmanager
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from contextlib import asynccontextmanager
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from .models import CrawlResult, MarkdownGenerationResult
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from .async_database import async_db_manager
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from .chunking_strategy import *
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@ -15,6 +16,7 @@ from .content_filter_strategy import *
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from .extraction_strategy import *
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from .async_crawler_strategy import AsyncCrawlerStrategy, AsyncPlaywrightCrawlerStrategy, AsyncCrawlResponse
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from .cache_context import CacheMode, CacheContext, _legacy_to_cache_mode
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from .markdown_generation_strategy import DefaultMarkdownGenerator, MarkdownGenerationStrategy
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from .content_scraping_strategy import WebScrapingStrategy
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from .async_logger import AsyncLogger
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from .async_configs import BrowserConfig, CrawlerRunConfig
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@ -132,17 +134,12 @@ class AsyncWebCrawler:
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async def __aexit__(self, exc_type, exc_val, exc_tb):
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await self.crawler_strategy.__aexit__(exc_type, exc_val, exc_tb)
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@asynccontextmanager
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async def nullcontext(self):
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yield
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async def awarmup(self):
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"""Initialize the crawler with warm-up sequence."""
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self.logger.info(f"Crawl4AI {crawl4ai_version}", tag="INIT")
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self.ready = True
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@asynccontextmanager
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async def nullcontext(self):
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"""异步空上下文管理器"""
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@ -323,7 +320,8 @@ class AsyncWebCrawler:
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config=config, # Pass the config object instead of individual parameters
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screenshot=screenshot_data,
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pdf_data=pdf_data,
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verbose=config.verbose
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verbose=config.verbose,
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**kwargs
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)
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# Set response data
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@ -424,7 +422,8 @@ class AsyncWebCrawler:
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css_selector=config.css_selector,
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only_text=config.only_text,
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image_description_min_word_threshold=config.image_description_min_word_threshold,
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content_filter=config.content_filter
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content_filter=config.content_filter,
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**kwargs
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)
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if result is None:
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@ -435,16 +434,29 @@ class AsyncWebCrawler:
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except Exception as e:
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raise ValueError(f"Process HTML, Failed to extract content from the website: {url}, error: {str(e)}")
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# Extract results
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markdown_v2 = result.get("markdown_v2", None)
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cleaned_html = sanitize_input_encode(result.get("cleaned_html", ""))
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markdown = sanitize_input_encode(result.get("markdown", ""))
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fit_markdown = sanitize_input_encode(result.get("fit_markdown", ""))
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fit_html = sanitize_input_encode(result.get("fit_html", ""))
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media = result.get("media", [])
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links = result.get("links", [])
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metadata = result.get("metadata", {})
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# Markdown Generation
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markdown_generator: Optional[MarkdownGenerationStrategy] = config.markdown_generator or DefaultMarkdownGenerator()
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if not config.content_filter and not markdown_generator.content_filter:
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markdown_generator.content_filter = PruningContentFilter()
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markdown_result: MarkdownGenerationResult = markdown_generator.generate_markdown(
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cleaned_html=cleaned_html,
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base_url=url,
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# html2text_options=kwargs.get('html2text', {})
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)
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markdown_v2 = markdown_result
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markdown = sanitize_input_encode(markdown_result.raw_markdown)
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# Log processing completion
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self.logger.info(
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message="Processed {url:.50}... | Time: {timing}ms",
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@ -602,16 +602,16 @@ class WebScrapingStrategy(ContentScrapingStrategy):
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cleaned_html = str_body.replace('\n\n', '\n').replace(' ', ' ')
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markdown_content = self._generate_markdown_content(
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cleaned_html=cleaned_html,
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html=html,
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url=url,
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success=success,
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**kwargs
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)
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# markdown_content = self._generate_markdown_content(
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# cleaned_html=cleaned_html,
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# html=html,
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# url=url,
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# success=success,
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# **kwargs
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# )
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return {
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**markdown_content,
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# **markdown_content,
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'cleaned_html': cleaned_html,
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'success': success,
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'media': media,
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@ -239,8 +239,10 @@ async def crawl_dynamic_content_pages_method_1():
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all_commits = []
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js_next_page = """
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const button = document.querySelector('a[data-testid="pagination-next-button"]');
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if (button) button.click();
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(() => {
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const button = document.querySelector('a[data-testid="pagination-next-button"]');
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if (button) button.click();
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})();
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"""
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for page in range(3): # Crawl 3 pages
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@ -604,14 +606,14 @@ async def fit_markdown_remove_overlay():
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async def main():
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await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
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# await extract_structured_data_using_llm("openai/gpt-4o", os.getenv("OPENAI_API_KEY"))
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await simple_crawl()
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await simple_example_with_running_js_code()
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await simple_example_with_css_selector()
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# await use_proxy()
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await capture_and_save_screenshot("https://www.example.com", os.path.join(__location__, "tmp/example_screenshot.jpg"))
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await extract_structured_data_using_css_extractor()
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# await simple_crawl()
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# await simple_example_with_running_js_code()
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# await simple_example_with_css_selector()
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# # await use_proxy()
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# await capture_and_save_screenshot("https://www.example.com", os.path.join(__location__, "tmp/example_screenshot.jpg"))
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# await extract_structured_data_using_css_extractor()
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# LLM extraction examples
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# await extract_structured_data_using_llm()
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