Merge branch 'main' of https://github.com/unclecode/crawl4ai
This commit is contained in:
4
.gitignore
vendored
4
.gitignore
vendored
@@ -185,4 +185,6 @@ local/
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a.txt
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.lambda_function.py
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ec2*
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ec2*
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update_changelog.sh
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11
CHANGELOG.md
11
CHANGELOG.md
@@ -1,5 +1,16 @@
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# Changelog
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## [0.2.71] 2024-06-26
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• Refactored `crawler_strategy.py` to handle exceptions and improve error messages
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• Improved `get_content_of_website_optimized` function in `utils.py` for better performance
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• Updated `utils.py` with latest changes
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• Migrated to `ChromeDriverManager` for resolving Chrome driver download issues
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## [0.2.71] - 2024-06-25
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### Fixed
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- Speed up twice the extraction function.
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## [0.2.6] - 2024-06-22
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### Fixed
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- Fix issue #19: Update Dockerfile to ensure compatibility across multiple platforms.
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@@ -1,4 +1,4 @@
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# Crawl4AI v0.2.7 🕷️🤖
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# Crawl4AI v0.2.71 🕷️🤖
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[](https://github.com/unclecode/crawl4ai/stargazers)
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[](https://github.com/unclecode/crawl4ai/network/members)
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@@ -5,7 +5,10 @@ from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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from selenium.webdriver.chrome.options import Options
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from selenium.common.exceptions import InvalidArgumentException
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from selenium.common.exceptions import InvalidArgumentException, WebDriverException
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from selenium.webdriver.chrome.service import Service as ChromeService
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from webdriver_manager.chrome import ChromeDriverManager
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import logging
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import base64
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from PIL import Image, ImageDraw, ImageFont
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@@ -118,10 +121,15 @@ class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
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}
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# chromedriver_autoinstaller.install()
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import chromedriver_autoinstaller
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crawl4ai_folder = os.path.join(Path.home(), ".crawl4ai")
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chromedriver_path = chromedriver_autoinstaller.utils.download_chromedriver(crawl4ai_folder, False)
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# import chromedriver_autoinstaller
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# crawl4ai_folder = os.path.join(Path.home(), ".crawl4ai")
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# driver = webdriver.Chrome(service=ChromeService(ChromeDriverManager().install()), options=self.options)
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# chromedriver_path = chromedriver_autoinstaller.install()
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# chromedriver_path = chromedriver_autoinstaller.utils.download_chromedriver()
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# self.service = Service(chromedriver_autoinstaller.install())
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chromedriver_path = ChromeDriverManager().install()
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self.service = Service(chromedriver_path)
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self.service.log_path = "NUL"
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self.driver = webdriver.Chrome(service=self.service, options=self.options)
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@@ -212,9 +220,18 @@ class LocalSeleniumCrawlerStrategy(CrawlerStrategy):
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return html
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except InvalidArgumentException:
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raise InvalidArgumentException(f"Invalid URL {url}")
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if not hasattr(e, 'msg'):
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e.msg = str(e)
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raise InvalidArgumentException(f"Failed to crawl {url}: {e.msg}")
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except WebDriverException as e:
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# If e does nlt have msg attribute create it and set it to str(e)
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if not hasattr(e, 'msg'):
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e.msg = str(e)
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raise WebDriverException(f"Failed to crawl {url}: {e.msg}")
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except Exception as e:
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raise Exception(f"Failed to crawl {url}: {str(e)}")
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if not hasattr(e, 'msg'):
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e.msg = str(e)
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raise Exception(f"Failed to crawl {url}: {e.msg}")
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def take_screenshot(self) -> str:
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try:
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@@ -438,18 +438,17 @@ def get_content_of_website_optimized(url: str, html: str, word_count_threshold:
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links = {'internal': [], 'external': []}
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media = {'images': [], 'videos': [], 'audios': []}
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def process_element(element: element.PageElement) -> None:
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def process_element(element: element.PageElement) -> bool:
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if isinstance(element, NavigableString):
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if isinstance(element, Comment):
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element.extract()
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return
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# if not isinstance(element, element.Tag):
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# return
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return False
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if element.name in ['script', 'style', 'link', 'meta', 'noscript']:
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element.decompose()
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return
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return False
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keep_element = False
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if element.name == 'a' and element.get('href'):
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href = element['href']
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@@ -459,6 +458,7 @@ def get_content_of_website_optimized(url: str, html: str, word_count_threshold:
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links['external'].append(link_data)
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else:
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links['internal'].append(link_data)
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keep_element = True
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elif element.name == 'img':
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media['images'].append({
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@@ -466,12 +466,7 @@ def get_content_of_website_optimized(url: str, html: str, word_count_threshold:
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'alt': element.get('alt'),
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'type': 'image'
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})
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alt_text = element.get('alt')
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if alt_text:
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element.replace_with(soup.new_string(alt_text))
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else:
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element.decompose()
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return
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return True # Always keep image elements
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elif element.name in ['video', 'audio']:
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media[f"{element.name}s"].append({
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@@ -479,6 +474,7 @@ def get_content_of_website_optimized(url: str, html: str, word_count_threshold:
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'alt': element.get('alt'),
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'type': element.name
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})
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return True # Always keep video and audio elements
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if element.name != 'pre':
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if element.name in ['b', 'i', 'u', 'span', 'del', 'ins', 'sub', 'sup', 'strong', 'em', 'code', 'kbd', 'var', 's', 'q', 'abbr', 'cite', 'dfn', 'time', 'small', 'mark']:
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@@ -489,17 +485,26 @@ def get_content_of_website_optimized(url: str, html: str, word_count_threshold:
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elif element.name != 'img':
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element.attrs = {}
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word_count = len(element.get_text(strip=True).split())
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if word_count < word_count_threshold:
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element.decompose()
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return
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# Process children
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for child in list(element.children):
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process_element(child)
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if isinstance(child, NavigableString) and not isinstance(child, Comment):
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if len(child.strip()) > 0:
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keep_element = True
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else:
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if process_element(child):
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keep_element = True
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if not element.contents and not element.get_text(strip=True):
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# Check word count
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if not keep_element:
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word_count = len(element.get_text(strip=True).split())
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keep_element = word_count >= word_count_threshold
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if not keep_element:
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element.decompose()
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return keep_element
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process_element(body)
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def flatten_nested_elements(node):
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@@ -770,4 +775,6 @@ def wrap_text(draw, text, font, max_width):
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def format_html(html_string):
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soup = BeautifulSoup(html_string, 'html.parser')
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return soup.prettify()
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return soup.prettify()
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@@ -129,47 +129,57 @@ class WebCrawler:
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verbose=True,
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**kwargs,
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) -> CrawlResult:
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extraction_strategy = extraction_strategy or NoExtractionStrategy()
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extraction_strategy.verbose = verbose
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if not isinstance(extraction_strategy, ExtractionStrategy):
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raise ValueError("Unsupported extraction strategy")
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if not isinstance(chunking_strategy, ChunkingStrategy):
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raise ValueError("Unsupported chunking strategy")
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if word_count_threshold < MIN_WORD_THRESHOLD:
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word_count_threshold = MIN_WORD_THRESHOLD
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try:
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extraction_strategy = extraction_strategy or NoExtractionStrategy()
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extraction_strategy.verbose = verbose
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if not isinstance(extraction_strategy, ExtractionStrategy):
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raise ValueError("Unsupported extraction strategy")
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if not isinstance(chunking_strategy, ChunkingStrategy):
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raise ValueError("Unsupported chunking strategy")
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# if word_count_threshold < MIN_WORD_THRESHOLD:
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# word_count_threshold = MIN_WORD_THRESHOLD
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word_count_threshold = max(word_count_threshold, 0)
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# Check cache first
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cached = None
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screenshot_data = None
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extracted_content = None
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if not bypass_cache and not self.always_by_pass_cache:
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cached = get_cached_url(url)
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if kwargs.get("warmup", True) and not self.ready:
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return None
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if cached:
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html = cached[1]
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extracted_content = cached[4]
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if screenshot:
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screenshot_data = cached[9]
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if not screenshot_data:
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cached = None
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if not cached or not html:
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if user_agent:
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self.crawler_strategy.update_user_agent(user_agent)
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t1 = time.time()
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html = self.crawler_strategy.crawl(url)
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t2 = time.time()
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if verbose:
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print(f"[LOG] 🚀 Crawling done for {url}, success: {bool(html)}, time taken: {t2 - t1} seconds")
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if screenshot:
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screenshot_data = self.crawler_strategy.take_screenshot()
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# Check cache first
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cached = None
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screenshot_data = None
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extracted_content = None
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if not bypass_cache and not self.always_by_pass_cache:
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cached = get_cached_url(url)
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if kwargs.get("warmup", True) and not self.ready:
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return None
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if cached:
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html = cached[1]
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extracted_content = cached[4]
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if screenshot:
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screenshot_data = cached[9]
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if not screenshot_data:
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cached = None
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if not cached or not html:
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if user_agent:
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self.crawler_strategy.update_user_agent(user_agent)
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t1 = time.time()
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html = self.crawler_strategy.crawl(url)
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t2 = time.time()
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if verbose:
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print(f"[LOG] 🚀 Crawling done for {url}, success: {bool(html)}, time taken: {t2 - t1} seconds")
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if screenshot:
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screenshot_data = self.crawler_strategy.take_screenshot()
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return self.process_html(url, html, extracted_content, word_count_threshold, extraction_strategy, chunking_strategy, css_selector, screenshot_data, verbose, bool(cached), **kwargs)
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crawl_result = self.process_html(url, html, extracted_content, word_count_threshold, extraction_strategy, chunking_strategy, css_selector, screenshot_data, verbose, bool(cached), **kwargs)
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crawl_result.success = bool(html)
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return crawl_result
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except Exception as e:
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if not hasattr(e, "msg"):
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e.msg = str(e)
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print(f"[ERROR] 🚫 Failed to crawl {url}, error: {e.msg}")
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return CrawlResult(url=url, html="", success=False, error_message=e.msg)
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def process_html(
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self,
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@@ -1,6 +1,12 @@
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# Changelog
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## [0.2.7] - 2024-06-27
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## [0.2.71] 2024-06-26
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• Refactored `crawler_strategy.py` to handle exceptions and improve error messages
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• Improved `get_content_of_website_optimized` function in `utils.py` for better performance
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• Updated `utils.py` with latest changes
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• Migrated to `ChromeDriverManager` for resolving Chrome driver download issues
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## [0.2.71] - 2024-06-25
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### Fixed
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- Speed up twice the extraction function.
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@@ -1,4 +1,4 @@
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# Crawl4AI v0.2.7
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# Crawl4AI v0.2.71
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Welcome to the official documentation for Crawl4AI! 🕷️🤖 Crawl4AI is an open-source Python library designed to simplify web crawling and extract useful information from web pages. This documentation will guide you through the features, usage, and customization of Crawl4AI.
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4
main.py
4
main.py
@@ -49,7 +49,9 @@ templates = Jinja2Templates(directory=__location__ + "/pages")
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@lru_cache()
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def get_crawler():
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# Initialize and return a WebCrawler instance
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return WebCrawler(verbose = True)
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crawler = WebCrawler(verbose = True)
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crawler.warmup()
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return crawler
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class CrawlRequest(BaseModel):
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urls: List[str]
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@@ -20,3 +20,4 @@ torch==2.3.1
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onnxruntime==1.18.0
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tokenizers==0.19.1
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pillow==10.3.0
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webdriver-manager==4.0.1
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2
setup.py
2
setup.py
@@ -33,7 +33,7 @@ class CustomInstallCommand(install):
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setup(
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name="Crawl4AI",
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version="0.2.7",
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version="0.2.71",
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description="🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper",
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long_description=open("README.md").read(),
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long_description_content_type="text/markdown",
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Reference in New Issue
Block a user