Compare commits
1 Commits
docs-proxy
...
v0.7.6
| Author | SHA1 | Date | |
|---|---|---|---|
|
ca100c6518 |
@@ -1383,10 +1383,9 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
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try:
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await self.adapter.evaluate(page,
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f"""
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(async () => {{
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(() => {{
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try {{
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const removeOverlays = {remove_overlays_js};
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await removeOverlays();
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{remove_overlays_js}
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return {{ success: true }};
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}} catch (error) {{
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return {{
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@@ -617,17 +617,7 @@ class AsyncWebCrawler:
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else config.chunking_strategy
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)
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sections = chunking.chunk(content)
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# extracted_content = config.extraction_strategy.run(url, sections)
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# Use async version if available for better parallelism
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if hasattr(config.extraction_strategy, 'arun'):
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extracted_content = await config.extraction_strategy.arun(url, sections)
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else:
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# Fallback to sync version run in thread pool to avoid blocking
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extracted_content = await asyncio.to_thread(
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config.extraction_strategy.run, url, sections
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)
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extracted_content = config.extraction_strategy.run(url, sections)
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extracted_content = json.dumps(
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extracted_content, indent=4, default=str, ensure_ascii=False
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)
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@@ -369,9 +369,6 @@ class ManagedBrowser:
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]
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if self.headless:
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flags.append("--headless=new")
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# Add viewport flag if specified in config
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if self.browser_config.viewport_height and self.browser_config.viewport_width:
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flags.append(f"--window-size={self.browser_config.viewport_width},{self.browser_config.viewport_height}")
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# merge common launch flags
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flags.extend(self.build_browser_flags(self.browser_config))
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elif self.browser_type == "firefox":
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@@ -94,20 +94,6 @@ class ExtractionStrategy(ABC):
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extracted_content.extend(future.result())
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return extracted_content
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async def arun(self, url: str, sections: List[str], *q, **kwargs) -> List[Dict[str, Any]]:
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"""
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Async version: Process sections of text in parallel using asyncio.
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Default implementation runs the sync version in a thread pool.
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Subclasses can override this for true async processing.
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:param url: The URL of the webpage.
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:param sections: List of sections (strings) to process.
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:return: A list of processed JSON blocks.
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"""
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import asyncio
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return await asyncio.to_thread(self.run, url, sections, *q, **kwargs)
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class NoExtractionStrategy(ExtractionStrategy):
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"""
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@@ -794,177 +780,6 @@ class LLMExtractionStrategy(ExtractionStrategy):
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return extracted_content
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async def aextract(self, url: str, ix: int, html: str) -> List[Dict[str, Any]]:
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"""
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Async version: Extract meaningful blocks or chunks from the given HTML using an LLM.
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How it works:
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1. Construct a prompt with variables.
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2. Make an async request to the LLM using the prompt.
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3. Parse the response and extract blocks or chunks.
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Args:
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url: The URL of the webpage.
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ix: Index of the block.
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html: The HTML content of the webpage.
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Returns:
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A list of extracted blocks or chunks.
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"""
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from .utils import aperform_completion_with_backoff
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if self.verbose:
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print(f"[LOG] Call LLM for {url} - block index: {ix}")
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variable_values = {
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"URL": url,
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"HTML": escape_json_string(sanitize_html(html)),
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}
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prompt_with_variables = PROMPT_EXTRACT_BLOCKS
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if self.instruction:
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variable_values["REQUEST"] = self.instruction
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prompt_with_variables = PROMPT_EXTRACT_BLOCKS_WITH_INSTRUCTION
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if self.extract_type == "schema" and self.schema:
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variable_values["SCHEMA"] = json.dumps(self.schema, indent=2)
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prompt_with_variables = PROMPT_EXTRACT_SCHEMA_WITH_INSTRUCTION
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if self.extract_type == "schema" and not self.schema:
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prompt_with_variables = PROMPT_EXTRACT_INFERRED_SCHEMA
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for variable in variable_values:
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prompt_with_variables = prompt_with_variables.replace(
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"{" + variable + "}", variable_values[variable]
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)
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try:
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response = await aperform_completion_with_backoff(
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self.llm_config.provider,
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prompt_with_variables,
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self.llm_config.api_token,
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base_url=self.llm_config.base_url,
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json_response=self.force_json_response,
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extra_args=self.extra_args,
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)
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# Track usage
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usage = TokenUsage(
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completion_tokens=response.usage.completion_tokens,
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prompt_tokens=response.usage.prompt_tokens,
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total_tokens=response.usage.total_tokens,
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completion_tokens_details=response.usage.completion_tokens_details.__dict__
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if response.usage.completion_tokens_details
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else {},
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prompt_tokens_details=response.usage.prompt_tokens_details.__dict__
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if response.usage.prompt_tokens_details
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else {},
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)
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self.usages.append(usage)
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# Update totals
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self.total_usage.completion_tokens += usage.completion_tokens
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self.total_usage.prompt_tokens += usage.prompt_tokens
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self.total_usage.total_tokens += usage.total_tokens
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try:
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content = response.choices[0].message.content
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blocks = None
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if self.force_json_response:
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blocks = json.loads(content)
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if isinstance(blocks, dict):
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if len(blocks) == 1 and isinstance(list(blocks.values())[0], list):
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blocks = list(blocks.values())[0]
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else:
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blocks = [blocks]
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elif isinstance(blocks, list):
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blocks = blocks
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else:
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blocks = extract_xml_data(["blocks"], content)["blocks"]
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blocks = json.loads(blocks)
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for block in blocks:
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block["error"] = False
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except Exception:
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parsed, unparsed = split_and_parse_json_objects(
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response.choices[0].message.content
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)
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blocks = parsed
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if unparsed:
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blocks.append(
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{"index": 0, "error": True, "tags": ["error"], "content": unparsed}
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)
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if self.verbose:
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print(
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"[LOG] Extracted",
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len(blocks),
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"blocks from URL:",
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url,
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"block index:",
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ix,
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)
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return blocks
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except Exception as e:
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if self.verbose:
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print(f"[LOG] Error in LLM extraction: {e}")
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return [
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{
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"index": ix,
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"error": True,
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"tags": ["error"],
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"content": str(e),
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}
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]
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async def arun(self, url: str, sections: List[str]) -> List[Dict[str, Any]]:
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"""
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Async version: Process sections with true parallelism using asyncio.gather.
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Args:
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url: The URL of the webpage.
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sections: List of sections (strings) to process.
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Returns:
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A list of extracted blocks or chunks.
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"""
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import asyncio
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merged_sections = self._merge(
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sections,
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self.chunk_token_threshold,
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overlap=int(self.chunk_token_threshold * self.overlap_rate),
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)
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extracted_content = []
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# Create tasks for all sections to run in parallel
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tasks = [
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self.aextract(url, ix, sanitize_input_encode(section))
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for ix, section in enumerate(merged_sections)
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]
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# Execute all tasks concurrently
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results = await asyncio.gather(*tasks, return_exceptions=True)
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# Process results
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for result in results:
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if isinstance(result, Exception):
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if self.verbose:
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print(f"Error in async extraction: {result}")
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extracted_content.append(
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{
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"index": 0,
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"error": True,
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"tags": ["error"],
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"content": str(result),
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}
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)
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else:
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extracted_content.extend(result)
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return extracted_content
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def show_usage(self) -> None:
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"""Print a detailed token usage report showing total and per-request usage."""
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print("\n=== Token Usage Summary ===")
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@@ -1825,82 +1825,6 @@ def perform_completion_with_backoff(
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# ]
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async def aperform_completion_with_backoff(
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provider,
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prompt_with_variables,
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api_token,
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json_response=False,
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base_url=None,
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**kwargs,
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):
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"""
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Async version: Perform an API completion request with exponential backoff.
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How it works:
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1. Sends an async completion request to the API.
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2. Retries on rate-limit errors with exponential delays (async).
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3. Returns the API response or an error after all retries.
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Args:
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provider (str): The name of the API provider.
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prompt_with_variables (str): The input prompt for the completion request.
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api_token (str): The API token for authentication.
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json_response (bool): Whether to request a JSON response. Defaults to False.
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base_url (Optional[str]): The base URL for the API. Defaults to None.
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**kwargs: Additional arguments for the API request.
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Returns:
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dict: The API response or an error message after all retries.
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"""
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from litellm import acompletion
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from litellm.exceptions import RateLimitError
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import asyncio
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max_attempts = 3
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base_delay = 2 # Base delay in seconds, you can adjust this based on your needs
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extra_args = {"temperature": 0.01, "api_key": api_token, "base_url": base_url}
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if json_response:
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extra_args["response_format"] = {"type": "json_object"}
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if kwargs.get("extra_args"):
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extra_args.update(kwargs["extra_args"])
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for attempt in range(max_attempts):
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try:
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response = await acompletion(
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model=provider,
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messages=[{"role": "user", "content": prompt_with_variables}],
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**extra_args,
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)
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return response # Return the successful response
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except RateLimitError as e:
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print("Rate limit error:", str(e))
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if attempt == max_attempts - 1:
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# Last attempt failed, raise the error.
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raise
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# Check if we have exhausted our max attempts
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if attempt < max_attempts - 1:
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# Calculate the delay and wait
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delay = base_delay * (2**attempt) # Exponential backoff formula
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print(f"Waiting for {delay} seconds before retrying...")
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await asyncio.sleep(delay)
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else:
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# Return an error response after exhausting all retries
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return [
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{
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"index": 0,
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"tags": ["error"],
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"content": ["Rate limit error. Please try again later."],
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}
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]
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except Exception as e:
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raise e # Raise any other exceptions immediately
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def extract_blocks(url, html, provider=DEFAULT_PROVIDER, api_token=None, base_url=None):
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"""
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Extract content blocks from website HTML using an AI provider.
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@@ -785,54 +785,6 @@ curl http://localhost:11235/crawl/job/crawl_xyz
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The response includes `status` field: `"processing"`, `"completed"`, or `"failed"`.
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#### LLM Extraction Jobs with Webhooks
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The same webhook system works for LLM extraction jobs via `/llm/job`:
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```bash
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# Submit LLM extraction job with webhook
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curl -X POST http://localhost:11235/llm/job \
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-H "Content-Type: application/json" \
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-d '{
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"url": "https://example.com/article",
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"q": "Extract the article title, author, and main points",
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"provider": "openai/gpt-4o-mini",
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"webhook_config": {
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"webhook_url": "https://myapp.com/webhooks/llm-complete",
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"webhook_data_in_payload": true,
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"webhook_headers": {
|
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"X-Webhook-Secret": "your-secret-token"
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}
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}
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}'
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# Response: {"task_id": "llm_1234567890"}
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```
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**Your webhook receives:**
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```json
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{
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"task_id": "llm_1234567890",
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"task_type": "llm_extraction",
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"status": "completed",
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"timestamp": "2025-10-22T12:30:00.000000+00:00",
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"urls": ["https://example.com/article"],
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"data": {
|
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"extracted_content": {
|
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"title": "Understanding Web Scraping",
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"author": "John Doe",
|
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"main_points": ["Point 1", "Point 2", "Point 3"]
|
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}
|
||||
}
|
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}
|
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```
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|
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**Key Differences for LLM Jobs:**
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- Task type is `"llm_extraction"` instead of `"crawl"`
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- Extracted data is in `data.extracted_content`
|
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- Single URL only (not an array)
|
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- Supports schema-based extraction with `schema` parameter
|
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|
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> 💡 **Pro tip**: See [WEBHOOK_EXAMPLES.md](./WEBHOOK_EXAMPLES.md) for detailed examples including TypeScript client code, Flask webhook handlers, and failure handling.
|
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|
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---
|
||||
|
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@@ -6,16 +6,15 @@ x-base-config: &base-config
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- "11235:11235" # Gunicorn port
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env_file:
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- .llm.env # API keys (create from .llm.env.example)
|
||||
# Uncomment to set default environment variables (will overwrite .llm.env)
|
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# environment:
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# - OPENAI_API_KEY=${OPENAI_API_KEY:-}
|
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# - DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
|
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# - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
|
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# - GROQ_API_KEY=${GROQ_API_KEY:-}
|
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# - TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
|
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# - MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
|
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# - GEMINI_API_KEY=${GEMINI_API_KEY:-}
|
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# - LLM_PROVIDER=${LLM_PROVIDER:-} # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
|
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environment:
|
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- OPENAI_API_KEY=${OPENAI_API_KEY:-}
|
||||
- DEEPSEEK_API_KEY=${DEEPSEEK_API_KEY:-}
|
||||
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
|
||||
- GROQ_API_KEY=${GROQ_API_KEY:-}
|
||||
- TOGETHER_API_KEY=${TOGETHER_API_KEY:-}
|
||||
- MISTRAL_API_KEY=${MISTRAL_API_KEY:-}
|
||||
- GEMINI_API_TOKEN=${GEMINI_API_TOKEN:-}
|
||||
- LLM_PROVIDER=${LLM_PROVIDER:-} # Optional: Override default provider (e.g., "anthropic/claude-3-opus")
|
||||
volumes:
|
||||
- /dev/shm:/dev/shm # Chromium performance
|
||||
deploy:
|
||||
|
||||
@@ -18,7 +18,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
|
||||
|
||||
2. **Install Dependencies**
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
pip install flask
|
||||
```
|
||||
|
||||
3. **Launch the Server**
|
||||
@@ -28,7 +28,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
|
||||
|
||||
4. **Open in Browser**
|
||||
```
|
||||
http://localhost:8000
|
||||
http://localhost:8080
|
||||
```
|
||||
|
||||
**🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
|
||||
@@ -325,7 +325,7 @@ Powers the recording functionality:
|
||||
### Configuration
|
||||
```python
|
||||
# server.py configuration
|
||||
PORT = 8000
|
||||
PORT = 8080
|
||||
DEBUG = True
|
||||
THREADED = True
|
||||
```
|
||||
@@ -343,9 +343,9 @@ THREADED = True
|
||||
**Port Already in Use**
|
||||
```bash
|
||||
# Kill existing process
|
||||
lsof -ti:8000 | xargs kill -9
|
||||
lsof -ti:8080 | xargs kill -9
|
||||
# Or use different port
|
||||
python server.py --port 8001
|
||||
python server.py --port 8081
|
||||
```
|
||||
|
||||
**Blockly Not Loading**
|
||||
|
||||
@@ -216,7 +216,7 @@ def get_examples():
|
||||
'name': 'Handle Cookie Banner',
|
||||
'description': 'Accept cookies and close newsletter popup',
|
||||
'script': '''# Handle cookie banner and newsletter
|
||||
GO http://127.0.0.1:8000/playground/
|
||||
GO http://127.0.0.1:8080/playground/
|
||||
WAIT `body` 2
|
||||
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
|
||||
IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''
|
||||
|
||||
@@ -1,445 +1,229 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
🚀 Crawl4AI Docker Hooks System - Complete Examples
|
||||
====================================================
|
||||
|
||||
This file demonstrates the Docker Hooks System with three different approaches:
|
||||
|
||||
1. String-based hooks for REST API
|
||||
2. hooks_to_string() utility to convert functions
|
||||
3. Docker Client with automatic conversion (most convenient)
|
||||
|
||||
Requirements:
|
||||
- Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
|
||||
- crawl4ai installed: pip install crawl4ai
|
||||
Comprehensive test demonstrating all hook types from hooks_example.py
|
||||
adapted for the Docker API with real URLs
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import requests
|
||||
import json
|
||||
import time
|
||||
from typing import Dict, Any
|
||||
|
||||
# Import Crawl4AI components
|
||||
from crawl4ai import hooks_to_string
|
||||
from crawl4ai.docker_client import Crawl4aiDockerClient
|
||||
|
||||
# Configuration
|
||||
DOCKER_URL = "http://localhost:11235"
|
||||
TEST_URLS = [
|
||||
"https://www.kidocode.com",
|
||||
"https://quotes.toscrape.com",
|
||||
"https://httpbin.org/html",
|
||||
]
|
||||
# API_BASE_URL = "http://localhost:11234"
|
||||
API_BASE_URL = "http://localhost:11235"
|
||||
|
||||
|
||||
def print_section(title: str, description: str = ""):
|
||||
"""Print a formatted section header"""
|
||||
print("\n" + "=" * 70)
|
||||
print(f" {title}")
|
||||
if description:
|
||||
print(f" {description}")
|
||||
print("=" * 70 + "\n")
|
||||
def test_all_hooks_demo():
|
||||
"""Demonstrate all 8 hook types with practical examples"""
|
||||
print("=" * 70)
|
||||
print("Testing: All Hooks Comprehensive Demo")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_browser_created": """
|
||||
async def hook(browser, **kwargs):
|
||||
# Hook called after browser is created
|
||||
print("[HOOK] on_browser_created - Browser is ready!")
|
||||
# Browser-level configurations would go here
|
||||
return browser
|
||||
""",
|
||||
|
||||
def check_docker_service() -> bool:
|
||||
"""Check if Docker service is running"""
|
||||
try:
|
||||
response = requests.get(f"{DOCKER_URL}/health", timeout=3)
|
||||
return response.status_code == 200
|
||||
except:
|
||||
return False
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# REUSABLE HOOK LIBRARY
|
||||
# ============================================================================
|
||||
|
||||
async def performance_optimization_hook(page, context, **kwargs):
|
||||
"""
|
||||
Performance Hook: Block unnecessary resources to speed up crawling
|
||||
"""
|
||||
print(" [Hook] 🚀 Optimizing performance - blocking images and ads...")
|
||||
|
||||
# Block images
|
||||
await context.route(
|
||||
"**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
|
||||
lambda route: route.abort()
|
||||
)
|
||||
|
||||
# Block ads and analytics
|
||||
await context.route("**/analytics/*", lambda route: route.abort())
|
||||
await context.route("**/ads/*", lambda route: route.abort())
|
||||
await context.route("**/google-analytics.com/*", lambda route: route.abort())
|
||||
|
||||
print(" [Hook] ✓ Performance optimization applied")
|
||||
return page
|
||||
|
||||
|
||||
async def viewport_setup_hook(page, context, **kwargs):
|
||||
"""
|
||||
Viewport Hook: Set consistent viewport size for rendering
|
||||
"""
|
||||
print(" [Hook] 🖥️ Setting viewport to 1920x1080...")
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
print(" [Hook] ✓ Viewport configured")
|
||||
return page
|
||||
|
||||
|
||||
async def authentication_headers_hook(page, context, url, **kwargs):
|
||||
"""
|
||||
Headers Hook: Add custom authentication and tracking headers
|
||||
"""
|
||||
print(f" [Hook] 🔐 Adding custom headers for {url[:50]}...")
|
||||
|
||||
await page.set_extra_http_headers({
|
||||
'X-Crawl4AI': 'docker-hooks',
|
||||
'X-Custom-Hook': 'function-based',
|
||||
'Accept-Language': 'en-US,en;q=0.9',
|
||||
})
|
||||
|
||||
print(" [Hook] ✓ Custom headers added")
|
||||
return page
|
||||
|
||||
|
||||
async def lazy_loading_handler_hook(page, context, **kwargs):
|
||||
"""
|
||||
Content Hook: Handle lazy-loaded content by scrolling
|
||||
"""
|
||||
print(" [Hook] 📜 Scrolling to load lazy content...")
|
||||
|
||||
# Scroll to bottom
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
||||
await page.wait_for_timeout(1000)
|
||||
|
||||
# Scroll to middle
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# Scroll back to top
|
||||
await page.evaluate("window.scrollTo(0, 0)")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
print(" [Hook] ✓ Lazy content loaded")
|
||||
return page
|
||||
|
||||
|
||||
async def page_analytics_hook(page, context, **kwargs):
|
||||
"""
|
||||
Analytics Hook: Log page metrics before extraction
|
||||
"""
|
||||
print(" [Hook] 📊 Collecting page analytics...")
|
||||
|
||||
metrics = await page.evaluate('''
|
||||
() => ({
|
||||
title: document.title,
|
||||
images: document.images.length,
|
||||
links: document.links.length,
|
||||
scripts: document.scripts.length,
|
||||
headings: document.querySelectorAll('h1, h2, h3').length,
|
||||
paragraphs: document.querySelectorAll('p').length
|
||||
})
|
||||
''')
|
||||
|
||||
print(f" [Hook] 📈 Page: {metrics['title'][:50]}...")
|
||||
print(f" Links: {metrics['links']}, Images: {metrics['images']}, "
|
||||
f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
|
||||
|
||||
return page
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 1: String-Based Hooks (REST API)
|
||||
# ============================================================================
|
||||
|
||||
def example_1_string_based_hooks():
|
||||
"""
|
||||
Demonstrate string-based hooks with REST API
|
||||
Use this when working with REST API directly or non-Python clients
|
||||
"""
|
||||
print_section(
|
||||
"APPROACH 1: String-Based Hooks (REST API)",
|
||||
"Define hooks as strings for REST API requests"
|
||||
)
|
||||
|
||||
# Define hooks as strings
|
||||
hooks_config = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print(" [String Hook] Setting up page context...")
|
||||
# Block images for performance
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
|
||||
# Hook called after a new page and context are created
|
||||
print("[HOOK] on_page_context_created - New page created!")
|
||||
|
||||
# Set viewport size for consistent rendering
|
||||
await page.set_viewport_size({"width": 1920, "height": 1080})
|
||||
|
||||
# Add cookies for the session (using httpbin.org domain)
|
||||
await context.add_cookies([
|
||||
{
|
||||
"name": "test_session",
|
||||
"value": "abc123xyz",
|
||||
"domain": ".httpbin.org",
|
||||
"path": "/",
|
||||
"httpOnly": True,
|
||||
"secure": True
|
||||
}
|
||||
])
|
||||
|
||||
# Block ads and tracking scripts to speed up crawling
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
|
||||
await context.route("**/analytics/*", lambda route: route.abort())
|
||||
await context.route("**/ads/*", lambda route: route.abort())
|
||||
|
||||
print("[HOOK] Viewport set, cookies added, and ads blocked")
|
||||
return page
|
||||
""",
|
||||
|
||||
"on_user_agent_updated": """
|
||||
async def hook(page, context, user_agent, **kwargs):
|
||||
# Hook called when user agent is updated
|
||||
print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_goto": """
|
||||
async def hook(page, context, url, **kwargs):
|
||||
print(f" [String Hook] Navigating to {url[:50]}...")
|
||||
# Hook called before navigating to each URL
|
||||
print(f"[HOOK] before_goto - About to visit: {url}")
|
||||
|
||||
# Add custom headers for the request
|
||||
await page.set_extra_http_headers({
|
||||
'X-Crawl4AI': 'string-based-hooks',
|
||||
"X-Custom-Header": "crawl4ai-test",
|
||||
"Accept-Language": "en-US,en;q=0.9",
|
||||
"DNT": "1"
|
||||
})
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
# Hook called after navigating to each URL
|
||||
print(f"[HOOK] after_goto - Successfully loaded: {url}")
|
||||
|
||||
# Wait a moment for dynamic content to load
|
||||
await page.wait_for_timeout(1000)
|
||||
|
||||
# Check if specific elements exist (with error handling)
|
||||
try:
|
||||
# For httpbin.org, wait for body element
|
||||
await page.wait_for_selector("body", timeout=2000)
|
||||
print("[HOOK] Body element found and loaded")
|
||||
except:
|
||||
print("[HOOK] Timeout waiting for body, continuing anyway")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"on_execution_started": """
|
||||
async def hook(page, context, **kwargs):
|
||||
# Hook called after custom JavaScript execution
|
||||
print("[HOOK] on_execution_started - Custom JS executed!")
|
||||
|
||||
# You could inject additional JavaScript here if needed
|
||||
await page.evaluate("console.log('[INJECTED] Hook JS running');")
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print(" [String Hook] Scrolling page...")
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
||||
await page.wait_for_timeout(1000)
|
||||
# Hook called before retrieving the HTML content
|
||||
print("[HOOK] before_retrieve_html - Preparing to get HTML")
|
||||
|
||||
# Scroll to bottom to trigger lazy loading
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# Scroll back to top
|
||||
await page.evaluate("window.scrollTo(0, 0);")
|
||||
await page.wait_for_timeout(500)
|
||||
|
||||
# One more scroll to middle for good measure
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
|
||||
|
||||
print("[HOOK] Scrolling completed for lazy-loaded content")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_return_html": """
|
||||
async def hook(page, context, html, **kwargs):
|
||||
# Hook called before returning the HTML content
|
||||
print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
|
||||
|
||||
# Log some page metrics
|
||||
metrics = await page.evaluate('''() => {
|
||||
return {
|
||||
images: document.images.length,
|
||||
links: document.links.length,
|
||||
scripts: document.scripts.length
|
||||
}
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
# Prepare request payload
|
||||
# Create request payload
|
||||
payload = {
|
||||
"urls": [TEST_URLS[2]], # httpbin.org
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_config,
|
||||
"code": hooks_code,
|
||||
"timeout": 30
|
||||
},
|
||||
"crawler_config": {
|
||||
"js_code": "window.scrollTo(0, document.body.scrollHeight);",
|
||||
"wait_for": "body",
|
||||
"cache_mode": "bypass"
|
||||
}
|
||||
}
|
||||
|
||||
print(f"🎯 Target URL: {TEST_URLS[2]}")
|
||||
print(f"🔧 Configured {len(hooks_config)} string-based hooks")
|
||||
print(f"📡 Sending request to Docker API...\n")
|
||||
print("\nSending request with all 8 hooks...")
|
||||
start_time = time.time()
|
||||
|
||||
try:
|
||||
start_time = time.time()
|
||||
response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
|
||||
execution_time = time.time() - start_time
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
result = response.json()
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
|
||||
print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("\n✅ Request successful!")
|
||||
|
||||
# Display results
|
||||
if result.get('results') and result['results'][0].get('success'):
|
||||
crawl_result = result['results'][0]
|
||||
html_length = len(crawl_result.get('html', ''))
|
||||
markdown_length = len(crawl_result.get('markdown', ''))
|
||||
# Check hooks execution
|
||||
if 'hooks' in data:
|
||||
hooks_info = data['hooks']
|
||||
print("\n📊 Hooks Execution Summary:")
|
||||
print(f" Status: {hooks_info['status']['status']}")
|
||||
print(f" Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
|
||||
|
||||
print(f"\n📊 Results:")
|
||||
print(f" • HTML length: {html_length:,} characters")
|
||||
print(f" • Markdown length: {markdown_length:,} characters")
|
||||
print(f" • URL: {crawl_result.get('url')}")
|
||||
for hook_name in hooks_info['status']['attached_hooks']:
|
||||
print(f" ✓ {hook_name}")
|
||||
|
||||
# Check hooks execution
|
||||
if 'hooks' in result:
|
||||
hooks_info = result['hooks']
|
||||
print(f"\n🎣 Hooks Execution:")
|
||||
print(f" • Status: {hooks_info['status']['status']}")
|
||||
print(f" • Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
|
||||
if 'summary' in hooks_info:
|
||||
summary = hooks_info['summary']
|
||||
print(f"\n📈 Execution Statistics:")
|
||||
print(f" Total executions: {summary['total_executions']}")
|
||||
print(f" Successful: {summary['successful']}")
|
||||
print(f" Failed: {summary['failed']}")
|
||||
print(f" Timed out: {summary['timed_out']}")
|
||||
print(f" Success rate: {summary['success_rate']:.1f}%")
|
||||
|
||||
if 'summary' in hooks_info:
|
||||
summary = hooks_info['summary']
|
||||
print(f" • Total executions: {summary['total_executions']}")
|
||||
print(f" • Successful: {summary['successful']}")
|
||||
print(f" • Success rate: {summary['success_rate']:.1f}%")
|
||||
else:
|
||||
print(f"⚠️ Crawl completed but no results")
|
||||
if hooks_info.get('execution_log'):
|
||||
print(f"\n📝 Execution Log:")
|
||||
for log_entry in hooks_info['execution_log']:
|
||||
status_icon = "✅" if log_entry['status'] == 'success' else "❌"
|
||||
exec_time = log_entry.get('execution_time', 0)
|
||||
print(f" {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
|
||||
|
||||
else:
|
||||
print(f"❌ Request failed with status {response.status_code}")
|
||||
print(f" Error: {response.text[:200]}")
|
||||
# Check crawl results
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
print(f"\n📄 Crawl Results:")
|
||||
for result in data['results']:
|
||||
print(f" URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
if result.get('html'):
|
||||
print(f" HTML length: {len(result['html'])} characters")
|
||||
|
||||
except requests.exceptions.Timeout:
|
||||
print("⏰ Request timed out after 60 seconds")
|
||||
except Exception as e:
|
||||
print(f"❌ Error: {str(e)}")
|
||||
|
||||
print("\n" + "─" * 70)
|
||||
print("✓ String-based hooks example complete\n")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
try:
|
||||
error_data = response.json()
|
||||
print(f"Error details: {json.dumps(error_data, indent=2)}")
|
||||
except:
|
||||
print(f"Error text: {response.text[:500]}")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 2: Function-Based Hooks with hooks_to_string() Utility
|
||||
# ============================================================================
|
||||
|
||||
def example_2_hooks_to_string_utility():
|
||||
"""
|
||||
Demonstrate the hooks_to_string() utility for converting functions
|
||||
Use this when you want to write hooks as functions but use REST API
|
||||
"""
|
||||
print_section(
|
||||
"APPROACH 2: hooks_to_string() Utility",
|
||||
"Convert Python functions to strings for REST API"
|
||||
)
|
||||
|
||||
print("📦 Creating hook functions...")
|
||||
print(" • performance_optimization_hook")
|
||||
print(" • authentication_headers_hook")
|
||||
print(" • lazy_loading_handler_hook")
|
||||
|
||||
# Convert function objects to strings using the utility
|
||||
print("\n🔄 Converting functions to strings with hooks_to_string()...")
|
||||
|
||||
hooks_dict = {
|
||||
"on_page_context_created": performance_optimization_hook,
|
||||
"before_goto": authentication_headers_hook,
|
||||
"before_retrieve_html": lazy_loading_handler_hook,
|
||||
}
|
||||
|
||||
hooks_as_strings = hooks_to_string(hooks_dict)
|
||||
|
||||
print(f"✅ Successfully converted {len(hooks_as_strings)} functions to strings")
|
||||
|
||||
# Show a preview
|
||||
print("\n📝 Sample converted hook (first 200 characters):")
|
||||
print("─" * 70)
|
||||
sample_hook = list(hooks_as_strings.values())[0]
|
||||
print(sample_hook[:200] + "...")
|
||||
print("─" * 70)
|
||||
|
||||
# Use the converted hooks with REST API
|
||||
print("\n📡 Using converted hooks with REST API...")
|
||||
|
||||
payload = {
|
||||
"urls": [TEST_URLS[2]],
|
||||
"hooks": {
|
||||
"code": hooks_as_strings,
|
||||
"timeout": 30
|
||||
}
|
||||
}
|
||||
|
||||
try:
|
||||
start_time = time.time()
|
||||
response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
|
||||
execution_time = time.time() - start_time
|
||||
|
||||
if response.status_code == 200:
|
||||
result = response.json()
|
||||
print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
|
||||
|
||||
if result.get('results') and result['results'][0].get('success'):
|
||||
crawl_result = result['results'][0]
|
||||
print(f" • HTML length: {len(crawl_result.get('html', '')):,} characters")
|
||||
print(f" • Hooks executed successfully!")
|
||||
else:
|
||||
print(f"❌ Request failed: {response.status_code}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Error: {str(e)}")
|
||||
|
||||
print("\n💡 Benefits of hooks_to_string():")
|
||||
print(" ✓ Write hooks as regular Python functions")
|
||||
print(" ✓ Full IDE support (autocomplete, syntax highlighting)")
|
||||
print(" ✓ Type checking and linting")
|
||||
print(" ✓ Easy to test and debug")
|
||||
print(" ✓ Reusable across projects")
|
||||
print(" ✓ Works with any REST API client")
|
||||
|
||||
print("\n" + "─" * 70)
|
||||
print("✓ hooks_to_string() utility example complete\n")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 3: Docker Client with Automatic Conversion (RECOMMENDED)
|
||||
# ============================================================================
|
||||
|
||||
async def example_3_docker_client_auto_conversion():
|
||||
"""
|
||||
Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
|
||||
Use this for the best developer experience with Python
|
||||
"""
|
||||
print_section(
|
||||
"APPROACH 3: Docker Client with Auto-Conversion (RECOMMENDED)",
|
||||
"Pass function objects directly - conversion happens automatically!"
|
||||
)
|
||||
|
||||
print("🐳 Initializing Crawl4AI Docker Client...")
|
||||
client = Crawl4aiDockerClient(base_url=DOCKER_URL)
|
||||
|
||||
print("✅ Client ready!\n")
|
||||
|
||||
# Use our reusable hook library - just pass the function objects!
|
||||
print("📚 Using reusable hook library:")
|
||||
print(" • performance_optimization_hook")
|
||||
print(" • authentication_headers_hook")
|
||||
print(" • lazy_loading_handler_hook")
|
||||
print(" • page_analytics_hook")
|
||||
|
||||
print("\n🎯 Target URL: " + TEST_URLS[0])
|
||||
print("🚀 Starting crawl with automatic hook conversion...\n")
|
||||
|
||||
try:
|
||||
start_time = time.time()
|
||||
|
||||
# Pass function objects directly - NO manual conversion needed! ✨
|
||||
results = await client.crawl(
|
||||
urls=[TEST_URLS[0]],
|
||||
hooks={
|
||||
"on_page_context_created": performance_optimization_hook,
|
||||
"before_goto": authentication_headers_hook,
|
||||
"before_retrieve_html": lazy_loading_handler_hook,
|
||||
"before_return_html": page_analytics_hook,
|
||||
},
|
||||
hooks_timeout=30
|
||||
)
|
||||
|
||||
execution_time = time.time() - start_time
|
||||
|
||||
print(f"\n✅ Crawl completed! (took {execution_time:.2f}s)\n")
|
||||
|
||||
# Display results
|
||||
if results and results.success:
|
||||
result = results
|
||||
print(f"📊 Results:")
|
||||
print(f" • URL: {result.url}")
|
||||
print(f" • Success: {result.success}")
|
||||
print(f" • HTML length: {len(result.html):,} characters")
|
||||
print(f" • Markdown length: {len(result.markdown):,} characters")
|
||||
|
||||
# Show metadata
|
||||
if result.metadata:
|
||||
print(f"\n📋 Metadata:")
|
||||
print(f" • Title: {result.metadata.get('title', 'N/A')[:50]}...")
|
||||
|
||||
# Show links
|
||||
if result.links:
|
||||
internal_count = len(result.links.get('internal', []))
|
||||
external_count = len(result.links.get('external', []))
|
||||
print(f"\n🔗 Links Found:")
|
||||
print(f" • Internal: {internal_count}")
|
||||
print(f" • External: {external_count}")
|
||||
else:
|
||||
print(f"⚠️ Crawl completed but no successful results")
|
||||
if results:
|
||||
print(f" Error: {results.error_message}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Error: {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
print("\n🌟 Why Docker Client is RECOMMENDED:")
|
||||
print(" ✓ Automatic function-to-string conversion")
|
||||
print(" ✓ No manual hooks_to_string() calls needed")
|
||||
print(" ✓ Cleaner, more Pythonic code")
|
||||
print(" ✓ Full type hints and IDE support")
|
||||
print(" ✓ Built-in error handling")
|
||||
print(" ✓ Async/await support")
|
||||
|
||||
print("\n" + "─" * 70)
|
||||
print("✓ Docker Client auto-conversion example complete\n")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# APPROACH 4: Authentication Example
|
||||
# ============================================================================
|
||||
|
||||
def example_4_authentication_flow():
|
||||
"""
|
||||
Demonstrate authentication flow with multiple hooks
|
||||
"""
|
||||
print_section(
|
||||
"EXAMPLE 4: Authentication Flow",
|
||||
"Using hooks for authentication with cookies and headers"
|
||||
)
|
||||
def test_authentication_flow():
|
||||
"""Test a complete authentication flow with multiple hooks"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Authentication Flow with Multiple Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
@@ -458,6 +242,12 @@ async def hook(page, context, **kwargs):
|
||||
}
|
||||
])
|
||||
|
||||
# Set localStorage items (for SPA authentication)
|
||||
await page.evaluate('''
|
||||
localStorage.setItem('user_id', '12345');
|
||||
localStorage.setItem('auth_time', new Date().toISOString());
|
||||
''')
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
@@ -479,7 +269,9 @@ async def hook(page, context, url, **kwargs):
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/basic-auth/user/passwd"],
|
||||
"urls": [
|
||||
"https://httpbin.org/basic-auth/user/passwd"
|
||||
],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 15
|
||||
@@ -487,7 +279,7 @@ async def hook(page, context, url, **kwargs):
|
||||
}
|
||||
|
||||
print("\nTesting authentication with httpbin endpoints...")
|
||||
response = requests.post(f"{DOCKER_URL}/crawl", json=payload)
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
@@ -508,120 +300,214 @@ async def hook(page, context, url, **kwargs):
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
print("\n" + "─" * 70)
|
||||
print("✓ Authentication example complete\n")
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# MAIN EXECUTION
|
||||
# ============================================================================
|
||||
|
||||
async def main():
|
||||
"""
|
||||
Run all example demonstrations
|
||||
"""
|
||||
def test_performance_optimization_hooks():
|
||||
"""Test hooks for performance optimization"""
|
||||
print("\n" + "=" * 70)
|
||||
print(" 🚀 Crawl4AI - Docker Hooks System Examples")
|
||||
print("Testing: Performance Optimization Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
# Check Docker service
|
||||
print("\n🔍 Checking Docker service status...")
|
||||
if not check_docker_service():
|
||||
print("❌ Docker service is not running!")
|
||||
print("\n📋 To start the Docker service:")
|
||||
print(" docker run -p 11235:11235 unclecode/crawl4ai:latest")
|
||||
print("\nPlease start the service and run this example again.")
|
||||
return
|
||||
hooks_code = {
|
||||
"on_page_context_created": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Optimizing page for performance")
|
||||
|
||||
print("✅ Docker service is running!\n")
|
||||
# Block resource-heavy content
|
||||
await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
|
||||
await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
|
||||
await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
|
||||
await context.route("**/googletagmanager.com/*", lambda route: route.abort())
|
||||
await context.route("**/google-analytics.com/*", lambda route: route.abort())
|
||||
await context.route("**/doubleclick.net/*", lambda route: route.abort())
|
||||
await context.route("**/facebook.com/*", lambda route: route.abort())
|
||||
|
||||
# Run all examples
|
||||
examples = [
|
||||
("String-Based Hooks (REST API)", example_1_string_based_hooks, False),
|
||||
("hooks_to_string() Utility", example_2_hooks_to_string_utility, False),
|
||||
("Docker Client Auto-Conversion (Recommended)", example_3_docker_client_auto_conversion, True),
|
||||
("Authentication Flow", example_4_authentication_flow, False),
|
||||
# Disable animations and transitions
|
||||
await page.add_style_tag(content='''
|
||||
*, *::before, *::after {
|
||||
animation-duration: 0s !important;
|
||||
animation-delay: 0s !important;
|
||||
transition-duration: 0s !important;
|
||||
transition-delay: 0s !important;
|
||||
}
|
||||
''')
|
||||
|
||||
print("[HOOK] Performance optimizations applied")
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Removing unnecessary elements before extraction")
|
||||
|
||||
# Remove ads, popups, and other unnecessary elements
|
||||
await page.evaluate('''() => {
|
||||
// Remove common ad containers
|
||||
const adSelectors = [
|
||||
'.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
|
||||
'.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
|
||||
];
|
||||
|
||||
adSelectors.forEach(selector => {
|
||||
document.querySelectorAll(selector).forEach(el => el.remove());
|
||||
});
|
||||
|
||||
// Remove script tags to clean up HTML
|
||||
document.querySelectorAll('script').forEach(el => el.remove());
|
||||
|
||||
// Remove style tags we don't need
|
||||
document.querySelectorAll('style').forEach(el => el.remove());
|
||||
}''')
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 10
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting performance optimization hooks...")
|
||||
start_time = time.time()
|
||||
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
elapsed_time = time.time() - start_time
|
||||
print(f"Request completed in {elapsed_time:.2f} seconds")
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Performance optimization test completed")
|
||||
|
||||
if 'results' in data and len(data['results']) > 0:
|
||||
result = data['results'][0]
|
||||
if result.get('html'):
|
||||
print(f" HTML size: {len(result['html'])} characters")
|
||||
print(" Resources blocked, ads removed, animations disabled")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def test_content_extraction_hooks():
|
||||
"""Test hooks for intelligent content extraction"""
|
||||
print("\n" + "=" * 70)
|
||||
print("Testing: Content Extraction Hooks")
|
||||
print("=" * 70)
|
||||
|
||||
hooks_code = {
|
||||
"after_goto": """
|
||||
async def hook(page, context, url, response, **kwargs):
|
||||
print(f"[HOOK] Waiting for dynamic content on {url}")
|
||||
|
||||
# Wait for any lazy-loaded content
|
||||
await page.wait_for_timeout(2000)
|
||||
|
||||
# Trigger any "Load More" buttons
|
||||
try:
|
||||
load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
|
||||
if load_more:
|
||||
await load_more.click()
|
||||
await page.wait_for_timeout(1000)
|
||||
print("[HOOK] Clicked 'Load More' button")
|
||||
except:
|
||||
pass
|
||||
|
||||
return page
|
||||
""",
|
||||
|
||||
"before_retrieve_html": """
|
||||
async def hook(page, context, **kwargs):
|
||||
print("[HOOK] Extracting structured data")
|
||||
|
||||
# Extract metadata
|
||||
metadata = await page.evaluate('''() => {
|
||||
const getMeta = (name) => {
|
||||
const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
|
||||
return element ? element.getAttribute('content') : null;
|
||||
};
|
||||
|
||||
return {
|
||||
title: document.title,
|
||||
description: getMeta('description') || getMeta('og:description'),
|
||||
author: getMeta('author'),
|
||||
keywords: getMeta('keywords'),
|
||||
ogTitle: getMeta('og:title'),
|
||||
ogImage: getMeta('og:image'),
|
||||
canonical: document.querySelector('link[rel="canonical"]')?.href,
|
||||
jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
|
||||
.map(el => el.textContent).filter(Boolean)
|
||||
};
|
||||
}''')
|
||||
|
||||
print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
|
||||
|
||||
# Infinite scroll handling
|
||||
for i in range(3):
|
||||
await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
|
||||
await page.wait_for_timeout(1000)
|
||||
print(f"[HOOK] Scroll iteration {i+1}/3")
|
||||
|
||||
return page
|
||||
"""
|
||||
}
|
||||
|
||||
payload = {
|
||||
"urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
|
||||
"hooks": {
|
||||
"code": hooks_code,
|
||||
"timeout": 20
|
||||
}
|
||||
}
|
||||
|
||||
print("\nTesting content extraction hooks...")
|
||||
response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
|
||||
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
print("✅ Content extraction test completed")
|
||||
|
||||
if 'hooks' in data and 'summary' in data['hooks']:
|
||||
summary = data['hooks']['summary']
|
||||
print(f" Hooks executed: {summary['successful']}/{summary['total_executions']}")
|
||||
|
||||
if 'results' in data:
|
||||
for result in data['results']:
|
||||
print(f"\n URL: {result['url']}")
|
||||
print(f" Success: {result.get('success', False)}")
|
||||
else:
|
||||
print(f"❌ Error: {response.status_code}")
|
||||
|
||||
|
||||
def main():
|
||||
"""Run comprehensive hook tests"""
|
||||
print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
|
||||
print("Based on docs/examples/hooks_example.py")
|
||||
print("=" * 70)
|
||||
|
||||
tests = [
|
||||
("All Hooks Demo", test_all_hooks_demo),
|
||||
("Authentication Flow", test_authentication_flow),
|
||||
("Performance Optimization", test_performance_optimization_hooks),
|
||||
("Content Extraction", test_content_extraction_hooks),
|
||||
]
|
||||
|
||||
for i, (name, example_func, is_async) in enumerate(examples, 1):
|
||||
print(f"\n{'🔷' * 35}")
|
||||
print(f"Example {i}/{len(examples)}: {name}")
|
||||
print(f"{'🔷' * 35}\n")
|
||||
|
||||
for i, (name, test_func) in enumerate(tests, 1):
|
||||
print(f"\n📌 Test {i}/{len(tests)}: {name}")
|
||||
try:
|
||||
if is_async:
|
||||
await example_func()
|
||||
else:
|
||||
example_func()
|
||||
|
||||
print(f"✅ Example {i} completed successfully!")
|
||||
|
||||
# Pause between examples (except the last one)
|
||||
if i < len(examples):
|
||||
print("\n⏸️ Press Enter to continue to next example...")
|
||||
input()
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print(f"\n⏹️ Examples interrupted by user")
|
||||
break
|
||||
test_func()
|
||||
print(f"✅ {name} completed")
|
||||
except Exception as e:
|
||||
print(f"\n❌ Example {i} failed: {str(e)}")
|
||||
print(f"❌ {name} failed: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
print("\nContinuing to next example...\n")
|
||||
continue
|
||||
|
||||
# Final summary
|
||||
print("\n" + "=" * 70)
|
||||
print(" 🎉 All Examples Complete!")
|
||||
print("🎉 All comprehensive hook tests completed!")
|
||||
print("=" * 70)
|
||||
|
||||
print("\n📊 Summary - Three Approaches to Docker Hooks:")
|
||||
|
||||
print("\n✨ 1. String-Based Hooks:")
|
||||
print(" • Write hooks as strings directly in JSON")
|
||||
print(" • Best for: REST API, non-Python clients, simple use cases")
|
||||
print(" • Cons: No IDE support, harder to debug")
|
||||
|
||||
print("\n✨ 2. hooks_to_string() Utility:")
|
||||
print(" • Write hooks as Python functions, convert to strings")
|
||||
print(" • Best for: Python with REST API, reusable hook libraries")
|
||||
print(" • Pros: IDE support, type checking, easy debugging")
|
||||
|
||||
print("\n✨ 3. Docker Client (RECOMMENDED):")
|
||||
print(" • Pass function objects directly, automatic conversion")
|
||||
print(" • Best for: Python applications, best developer experience")
|
||||
print(" • Pros: All benefits of #2 + cleaner code, no manual conversion")
|
||||
|
||||
print("\n💡 Recommendation:")
|
||||
print(" Use Docker Client (#3) for Python applications")
|
||||
print(" Use hooks_to_string() (#2) when you need REST API flexibility")
|
||||
print(" Use string-based (#1) for non-Python clients or simple scripts")
|
||||
|
||||
print("\n🎯 8 Hook Points Available:")
|
||||
print(" • on_browser_created, on_page_context_created")
|
||||
print(" • on_user_agent_updated, before_goto, after_goto")
|
||||
print(" • on_execution_started, before_retrieve_html, before_return_html")
|
||||
|
||||
print("\n📚 Resources:")
|
||||
print(" • Docs: https://docs.crawl4ai.com/core/docker-deployment")
|
||||
print(" • GitHub: https://github.com/unclecode/crawl4ai")
|
||||
print(" • Discord: https://discord.gg/jP8KfhDhyN")
|
||||
|
||||
print("\n" + "=" * 70)
|
||||
print(" Happy Crawling! 🕷️")
|
||||
print("=" * 70 + "\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("\n🎬 Starting Crawl4AI Docker Hooks Examples...")
|
||||
print("Press Ctrl+C anytime to exit\n")
|
||||
|
||||
try:
|
||||
asyncio.run(main())
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 Examples stopped by user. Thanks for exploring Crawl4AI!")
|
||||
except Exception as e:
|
||||
print(f"\n\n❌ Error: {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
main()
|
||||
@@ -82,42 +82,6 @@ If you installed Crawl4AI (which installs Playwright under the hood), you alread
|
||||
|
||||
---
|
||||
|
||||
### Creating a Profile Using the Crawl4AI CLI (Easiest)
|
||||
|
||||
If you prefer a guided, interactive setup, use the built-in CLI to create and manage persistent browser profiles.
|
||||
|
||||
1.⠀Launch the profile manager:
|
||||
```bash
|
||||
crwl profiles
|
||||
```
|
||||
|
||||
2.⠀Choose "Create new profile" and enter a profile name. A Chromium window opens so you can log in to sites and configure settings. When finished, return to the terminal and press `q` to save the profile.
|
||||
|
||||
3.⠀Profiles are saved under `~/.crawl4ai/profiles/<profile_name>` (for example: `/home/<you>/.crawl4ai/profiles/test_profile_1`) along with a `storage_state.json` for cookies and session data.
|
||||
|
||||
4.⠀Optionally, choose "List profiles" in the CLI to view available profiles and their paths.
|
||||
|
||||
5.⠀Use the saved path with `BrowserConfig.user_data_dir`:
|
||||
```python
|
||||
from crawl4ai import AsyncWebCrawler, BrowserConfig
|
||||
|
||||
profile_path = "/home/<you>/.crawl4ai/profiles/test_profile_1"
|
||||
|
||||
browser_config = BrowserConfig(
|
||||
headless=True,
|
||||
use_managed_browser=True,
|
||||
user_data_dir=profile_path,
|
||||
browser_type="chromium",
|
||||
)
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com/private")
|
||||
```
|
||||
|
||||
The CLI also supports listing and deleting profiles, and even testing a crawl directly from the menu.
|
||||
|
||||
---
|
||||
|
||||
## 3. Using Managed Browsers in Crawl4AI
|
||||
|
||||
Once you have a data directory with your session data, pass it to **`BrowserConfig`**:
|
||||
|
||||
@@ -1,304 +1,98 @@
|
||||
# Proxy & Security
|
||||
|
||||
This guide covers proxy configuration and security features in Crawl4AI, including SSL certificate analysis and proxy rotation strategies.
|
||||
|
||||
## Understanding Proxy Configuration
|
||||
|
||||
Crawl4AI recommends configuring proxies per request through `CrawlerRunConfig.proxy_config`. This gives you precise control, enables rotation strategies, and keeps examples simple enough to copy, paste, and run.
|
||||
# Proxy
|
||||
|
||||
## Basic Proxy Setup
|
||||
|
||||
Configure proxies that apply to each crawl operation:
|
||||
Simple proxy configuration with `BrowserConfig`:
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, ProxyConfig
|
||||
from crawl4ai.async_configs import BrowserConfig
|
||||
|
||||
run_config = CrawlerRunConfig(proxy_config=ProxyConfig(server="http://proxy.example.com:8080"))
|
||||
# run_config = CrawlerRunConfig(proxy_config={"server": "http://proxy.example.com:8080"})
|
||||
# run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
|
||||
# Using HTTP proxy
|
||||
browser_config = BrowserConfig(proxy_config={"server": "http://proxy.example.com:8080"})
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
|
||||
|
||||
async def main():
|
||||
browser_config = BrowserConfig()
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com", config=run_config)
|
||||
print(f"Success: {result.success} -> {result.url}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
# Using SOCKS proxy
|
||||
browser_config = BrowserConfig(proxy_config={"server": "socks5://proxy.example.com:1080"})
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
```
|
||||
|
||||
!!! note "Why request-level?"
|
||||
`CrawlerRunConfig.proxy_config` keeps each request self-contained, so swapping proxies or rotation strategies is just a matter of building a new run configuration.
|
||||
## Authenticated Proxy
|
||||
|
||||
## Supported Proxy Formats
|
||||
|
||||
The `ProxyConfig.from_string()` method supports multiple formats:
|
||||
Use an authenticated proxy with `BrowserConfig`:
|
||||
|
||||
```python
|
||||
from crawl4ai import ProxyConfig
|
||||
from crawl4ai.async_configs import BrowserConfig
|
||||
|
||||
# HTTP proxy with authentication
|
||||
proxy1 = ProxyConfig.from_string("http://user:pass@192.168.1.1:8080")
|
||||
|
||||
# HTTPS proxy
|
||||
proxy2 = ProxyConfig.from_string("https://proxy.example.com:8080")
|
||||
|
||||
# SOCKS5 proxy
|
||||
proxy3 = ProxyConfig.from_string("socks5://proxy.example.com:1080")
|
||||
|
||||
# Simple IP:port format
|
||||
proxy4 = ProxyConfig.from_string("192.168.1.1:8080")
|
||||
|
||||
# IP:port:user:pass format
|
||||
proxy5 = ProxyConfig.from_string("192.168.1.1:8080:user:pass")
|
||||
browser_config = BrowserConfig(proxy_config={
|
||||
"server": "http://[host]:[port]",
|
||||
"username": "[username]",
|
||||
"password": "[password]",
|
||||
})
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com")
|
||||
```
|
||||
|
||||
## Authenticated Proxies
|
||||
|
||||
For proxies requiring authentication:
|
||||
|
||||
```python
|
||||
import asyncio
|
||||
from crawl4ai import AsyncWebCrawler,BrowserConfig, CrawlerRunConfig, ProxyConfig
|
||||
|
||||
run_config = CrawlerRunConfig(
|
||||
proxy_config=ProxyConfig(
|
||||
server="http://proxy.example.com:8080",
|
||||
username="your_username",
|
||||
password="your_password",
|
||||
)
|
||||
)
|
||||
# Or dictionary style:
|
||||
# run_config = CrawlerRunConfig(proxy_config={
|
||||
# "server": "http://proxy.example.com:8080",
|
||||
# "username": "your_username",
|
||||
# "password": "your_password",
|
||||
# })
|
||||
|
||||
|
||||
async def main():
|
||||
browser_config = BrowserConfig()
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com", config=run_config)
|
||||
print(f"Success: {result.success} -> {result.url}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
## Environment Variable Configuration
|
||||
|
||||
Load proxies from environment variables for easy configuration:
|
||||
|
||||
```python
|
||||
import os
|
||||
from crawl4ai import ProxyConfig, CrawlerRunConfig
|
||||
|
||||
# Set environment variable
|
||||
os.environ["PROXIES"] = "ip1:port1:user1:pass1,ip2:port2:user2:pass2,ip3:port3"
|
||||
|
||||
# Load all proxies
|
||||
proxies = ProxyConfig.from_env()
|
||||
print(f"Loaded {len(proxies)} proxies")
|
||||
|
||||
# Use first proxy
|
||||
if proxies:
|
||||
run_config = CrawlerRunConfig(proxy_config=proxies[0])
|
||||
```
|
||||
|
||||
## Rotating Proxies
|
||||
|
||||
Crawl4AI supports automatic proxy rotation to distribute requests across multiple proxy servers. Rotation is applied per request using a rotation strategy on `CrawlerRunConfig`.
|
||||
Example using a proxy rotation service dynamically:
|
||||
|
||||
### Proxy Rotation (recommended)
|
||||
```python
|
||||
import asyncio
|
||||
import re
|
||||
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, ProxyConfig
|
||||
from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
|
||||
|
||||
from crawl4ai import (
|
||||
AsyncWebCrawler,
|
||||
BrowserConfig,
|
||||
CrawlerRunConfig,
|
||||
CacheMode,
|
||||
RoundRobinProxyStrategy,
|
||||
)
|
||||
import asyncio
|
||||
from crawl4ai import ProxyConfig
|
||||
async def main():
|
||||
# Load proxies from environment
|
||||
# Load proxies and create rotation strategy
|
||||
proxies = ProxyConfig.from_env()
|
||||
#eg: export PROXIES="ip1:port1:username1:password1,ip2:port2:username2:password2"
|
||||
if not proxies:
|
||||
print("No proxies found! Set PROXIES environment variable.")
|
||||
print("No proxies found in environment. Set PROXIES env variable!")
|
||||
return
|
||||
|
||||
# Create rotation strategy
|
||||
proxy_strategy = RoundRobinProxyStrategy(proxies)
|
||||
|
||||
# Configure per-request with proxy rotation
|
||||
# Create configs
|
||||
browser_config = BrowserConfig(headless=True, verbose=False)
|
||||
run_config = CrawlerRunConfig(
|
||||
cache_mode=CacheMode.BYPASS,
|
||||
proxy_rotation_strategy=proxy_strategy,
|
||||
proxy_rotation_strategy=proxy_strategy
|
||||
)
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
urls = ["https://httpbin.org/ip"] * (len(proxies) * 2) # Test each proxy twice
|
||||
|
||||
print(f"🚀 Testing {len(proxies)} proxies with rotation...")
|
||||
results = await crawler.arun_many(urls=urls, config=run_config)
|
||||
print("\n📈 Initializing crawler with proxy rotation...")
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
print("\n🚀 Starting batch crawl with proxy rotation...")
|
||||
results = await crawler.arun_many(
|
||||
urls=urls,
|
||||
config=run_config
|
||||
)
|
||||
for result in results:
|
||||
if result.success:
|
||||
ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
|
||||
current_proxy = run_config.proxy_config if run_config.proxy_config else None
|
||||
|
||||
for i, result in enumerate(results):
|
||||
if result.success:
|
||||
# Extract IP from response
|
||||
ip_match = re.search(r'(?:[0-9]{1,3}\.){3}[0-9]{1,3}', result.html)
|
||||
if ip_match:
|
||||
detected_ip = ip_match.group(0)
|
||||
proxy_index = i % len(proxies)
|
||||
expected_ip = proxies[proxy_index].ip
|
||||
if current_proxy and ip_match:
|
||||
print(f"URL {result.url}")
|
||||
print(f"Proxy {current_proxy.server} -> Response IP: {ip_match.group(0)}")
|
||||
verified = ip_match.group(0) == current_proxy.ip
|
||||
if verified:
|
||||
print(f"✅ Proxy working! IP matches: {current_proxy.ip}")
|
||||
else:
|
||||
print("❌ Proxy failed or IP mismatch!")
|
||||
print("---")
|
||||
|
||||
print(f"✅ Request {i+1}: Proxy {proxy_index+1} -> IP {detected_ip}")
|
||||
if detected_ip == expected_ip:
|
||||
print(" 🎯 IP matches proxy configuration")
|
||||
else:
|
||||
print(f" ⚠️ IP mismatch (expected {expected_ip})")
|
||||
else:
|
||||
print(f"❌ Request {i+1}: Could not extract IP from response")
|
||||
else:
|
||||
print(f"❌ Request {i+1}: Failed - {result.error_message}")
|
||||
asyncio.run(main())
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
## SSL Certificate Analysis
|
||||
|
||||
Combine proxy usage with SSL certificate inspection for enhanced security analysis. SSL certificate fetching is configured per request via `CrawlerRunConfig`.
|
||||
|
||||
### Per-Request SSL Certificate Analysis
|
||||
```python
|
||||
import asyncio
|
||||
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
|
||||
|
||||
run_config = CrawlerRunConfig(
|
||||
proxy_config={
|
||||
"server": "http://proxy.example.com:8080",
|
||||
"username": "user",
|
||||
"password": "pass",
|
||||
},
|
||||
fetch_ssl_certificate=True, # Enable SSL certificate analysis for this request
|
||||
)
|
||||
|
||||
|
||||
async def main():
|
||||
browser_config = BrowserConfig()
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
result = await crawler.arun(url="https://example.com", config=run_config)
|
||||
|
||||
if result.success:
|
||||
print(f"✅ Crawled via proxy: {result.url}")
|
||||
|
||||
# Analyze SSL certificate
|
||||
if result.ssl_certificate:
|
||||
cert = result.ssl_certificate
|
||||
print("🔒 SSL Certificate Info:")
|
||||
print(f" Issuer: {cert.issuer}")
|
||||
print(f" Subject: {cert.subject}")
|
||||
print(f" Valid until: {cert.valid_until}")
|
||||
print(f" Fingerprint: {cert.fingerprint}")
|
||||
|
||||
# Export certificate
|
||||
cert.to_json("certificate.json")
|
||||
print("💾 Certificate exported to certificate.json")
|
||||
else:
|
||||
print("⚠️ No SSL certificate information available")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
```
|
||||
|
||||
## Security Best Practices
|
||||
|
||||
### 1. Proxy Rotation for Anonymity
|
||||
```python
|
||||
from crawl4ai import CrawlerRunConfig, ProxyConfig
|
||||
from crawl4ai.proxy_strategy import RoundRobinProxyStrategy
|
||||
|
||||
# Use multiple proxies to avoid IP blocking
|
||||
proxies = ProxyConfig.from_env("PROXIES")
|
||||
strategy = RoundRobinProxyStrategy(proxies)
|
||||
|
||||
# Configure rotation per request (recommended)
|
||||
run_config = CrawlerRunConfig(proxy_rotation_strategy=strategy)
|
||||
|
||||
# For a fixed proxy across all requests, just reuse the same run_config instance
|
||||
static_run_config = run_config
|
||||
```
|
||||
|
||||
### 2. SSL Certificate Verification
|
||||
```python
|
||||
from crawl4ai import CrawlerRunConfig
|
||||
|
||||
# Always verify SSL certificates when possible
|
||||
# Per-request (affects specific requests)
|
||||
run_config = CrawlerRunConfig(fetch_ssl_certificate=True)
|
||||
```
|
||||
|
||||
### 3. Environment Variable Security
|
||||
```bash
|
||||
# Use environment variables for sensitive proxy credentials
|
||||
# Avoid hardcoding usernames/passwords in code
|
||||
export PROXIES="ip1:port1:user1:pass1,ip2:port2:user2:pass2"
|
||||
```
|
||||
|
||||
### 4. SOCKS5 for Enhanced Security
|
||||
```python
|
||||
from crawl4ai import CrawlerRunConfig
|
||||
|
||||
# Prefer SOCKS5 proxies for better protocol support
|
||||
run_config = CrawlerRunConfig(proxy_config="socks5://proxy.example.com:1080")
|
||||
```
|
||||
|
||||
## Migration from Deprecated `proxy` Parameter
|
||||
|
||||
!!! warning "Deprecation Notice"
|
||||
The legacy `proxy` argument on `BrowserConfig` is deprecated. Configure proxies through `CrawlerRunConfig.proxy_config` so each request fully describes its network settings.
|
||||
|
||||
```python
|
||||
# Old (deprecated) approach
|
||||
# from crawl4ai import BrowserConfig
|
||||
# browser_config = BrowserConfig(proxy="http://proxy.example.com:8080")
|
||||
|
||||
# New (preferred) approach
|
||||
from crawl4ai import CrawlerRunConfig
|
||||
run_config = CrawlerRunConfig(proxy_config="http://proxy.example.com:8080")
|
||||
```
|
||||
|
||||
### Safe Logging of Proxies
|
||||
```python
|
||||
from crawl4ai import ProxyConfig
|
||||
|
||||
def safe_proxy_repr(proxy: ProxyConfig):
|
||||
if getattr(proxy, "username", None):
|
||||
return f"{proxy.server} (auth: ****)"
|
||||
return proxy.server
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
|
||||
???+ question "Proxy connection failed"
|
||||
- Verify the proxy server is reachable from your network.
|
||||
- Double-check authentication credentials.
|
||||
- Ensure the protocol matches (`http`, `https`, or `socks5`).
|
||||
|
||||
???+ question "SSL certificate errors"
|
||||
- Some proxies break SSL inspection; switch proxies if you see repeated failures.
|
||||
- Consider temporarily disabling certificate fetching to isolate the issue.
|
||||
|
||||
???+ question "Environment variables not loading"
|
||||
- Confirm `PROXIES` (or your custom env var) is set before running the script.
|
||||
- Check formatting: `ip:port:user:pass,ip:port:user:pass`.
|
||||
|
||||
???+ question "Proxy rotation not working"
|
||||
- Ensure `ProxyConfig.from_env()` actually loaded entries (`len(proxies) > 0`).
|
||||
- Attach `proxy_rotation_strategy` to `CrawlerRunConfig`.
|
||||
- Validate the proxy definitions you pass into the strategy.
|
||||
|
||||
@@ -18,7 +18,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
|
||||
|
||||
2. **Install Dependencies**
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
pip install flask
|
||||
```
|
||||
|
||||
3. **Launch the Server**
|
||||
@@ -28,7 +28,7 @@ A comprehensive web-based tutorial for learning and experimenting with C4A-Scrip
|
||||
|
||||
4. **Open in Browser**
|
||||
```
|
||||
http://localhost:8000
|
||||
http://localhost:8080
|
||||
```
|
||||
|
||||
**🌐 Try Online**: [Live Demo](https://docs.crawl4ai.com/c4a-script/demo)
|
||||
@@ -325,7 +325,7 @@ Powers the recording functionality:
|
||||
### Configuration
|
||||
```python
|
||||
# server.py configuration
|
||||
PORT = 8000
|
||||
PORT = 8080
|
||||
DEBUG = True
|
||||
THREADED = True
|
||||
```
|
||||
@@ -343,9 +343,9 @@ THREADED = True
|
||||
**Port Already in Use**
|
||||
```bash
|
||||
# Kill existing process
|
||||
lsof -ti:8000 | xargs kill -9
|
||||
lsof -ti:8080 | xargs kill -9
|
||||
# Or use different port
|
||||
python server.py --port 8001
|
||||
python server.py --port 8081
|
||||
```
|
||||
|
||||
**Blockly Not Loading**
|
||||
|
||||
@@ -216,7 +216,7 @@ def get_examples():
|
||||
'name': 'Handle Cookie Banner',
|
||||
'description': 'Accept cookies and close newsletter popup',
|
||||
'script': '''# Handle cookie banner and newsletter
|
||||
GO http://127.0.0.1:8000/playground/
|
||||
GO http://127.0.0.1:8080/playground/
|
||||
WAIT `body` 2
|
||||
IF (EXISTS `.cookie-banner`) THEN CLICK `.accept`
|
||||
IF (EXISTS `.newsletter-popup`) THEN CLICK `.close`'''
|
||||
@@ -283,7 +283,7 @@ WAIT `.success-message` 5'''
|
||||
return jsonify(examples)
|
||||
|
||||
if __name__ == '__main__':
|
||||
port = int(os.environ.get('PORT', 8000))
|
||||
port = int(os.environ.get('PORT', 8080))
|
||||
print(f"""
|
||||
╔══════════════════════════════════════════════════════════╗
|
||||
║ C4A-Script Interactive Tutorial Server ║
|
||||
|
||||
@@ -69,12 +69,12 @@ The tutorial includes a Flask-based web interface with:
|
||||
cd docs/examples/c4a_script/tutorial/
|
||||
|
||||
# Install dependencies
|
||||
pip install -r requirements.txt
|
||||
pip install flask
|
||||
|
||||
# Launch the tutorial server
|
||||
python server.py
|
||||
python app.py
|
||||
|
||||
# Open http://localhost:8000 in your browser
|
||||
# Open http://localhost:5000 in your browser
|
||||
```
|
||||
|
||||
## Core Concepts
|
||||
@@ -111,8 +111,8 @@ CLICK `.submit-btn`
|
||||
# By attribute
|
||||
CLICK `button[type="submit"]`
|
||||
|
||||
# By accessible attributes
|
||||
CLICK `button[aria-label="Search"][title="Search"]`
|
||||
# By text content
|
||||
CLICK `button:contains("Sign In")`
|
||||
|
||||
# Complex selectors
|
||||
CLICK `.form-container input[name="email"]`
|
||||
|
||||
@@ -27,14 +27,6 @@
|
||||
- [Hook Response Information](#hook-response-information)
|
||||
- [Error Handling](#error-handling)
|
||||
- [Hooks Utility: Function-Based Approach (Python)](#hooks-utility-function-based-approach-python)
|
||||
- [Job Queue & Webhook API](#job-queue-webhook-api)
|
||||
- [Why Use the Job Queue API?](#why-use-the-job-queue-api)
|
||||
- [Available Endpoints](#available-endpoints)
|
||||
- [Webhook Configuration](#webhook-configuration)
|
||||
- [Usage Examples](#usage-examples)
|
||||
- [Webhook Best Practices](#webhook-best-practices)
|
||||
- [Use Cases](#use-cases)
|
||||
- [Troubleshooting](#troubleshooting)
|
||||
- [Dockerfile Parameters](#dockerfile-parameters)
|
||||
- [Using the API](#using-the-api)
|
||||
- [Playground Interface](#playground-interface)
|
||||
@@ -1118,464 +1110,6 @@ if __name__ == "__main__":
|
||||
|
||||
---
|
||||
|
||||
## Job Queue & Webhook API
|
||||
|
||||
The Docker deployment includes a powerful asynchronous job queue system with webhook support for both crawling and LLM extraction tasks. Instead of waiting for long-running operations to complete, submit jobs and receive real-time notifications via webhooks when they finish.
|
||||
|
||||
### Why Use the Job Queue API?
|
||||
|
||||
**Traditional Synchronous API (`/crawl`):**
|
||||
- Client waits for entire crawl to complete
|
||||
- Timeout issues with long-running crawls
|
||||
- Resource blocking during execution
|
||||
- Constant polling required for status updates
|
||||
|
||||
**Asynchronous Job Queue API (`/crawl/job`, `/llm/job`):**
|
||||
- ✅ Submit job and continue immediately
|
||||
- ✅ No timeout concerns for long operations
|
||||
- ✅ Real-time webhook notifications on completion
|
||||
- ✅ Better resource utilization
|
||||
- ✅ Perfect for batch processing
|
||||
- ✅ Ideal for microservice architectures
|
||||
|
||||
### Available Endpoints
|
||||
|
||||
#### 1. Crawl Job Endpoint
|
||||
|
||||
```
|
||||
POST /crawl/job
|
||||
```
|
||||
|
||||
Submit an asynchronous crawl job with optional webhook notification.
|
||||
|
||||
**Request Body:**
|
||||
```json
|
||||
{
|
||||
"urls": ["https://example.com"],
|
||||
"cache_mode": "bypass",
|
||||
"extraction_strategy": {
|
||||
"type": "JsonCssExtractionStrategy",
|
||||
"schema": {
|
||||
"title": "h1",
|
||||
"content": ".article-body"
|
||||
}
|
||||
},
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/crawl-complete",
|
||||
"webhook_data_in_payload": true,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token",
|
||||
"X-Custom-Header": "value"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Response:**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"message": "Crawl job submitted"
|
||||
}
|
||||
```
|
||||
|
||||
#### 2. LLM Extraction Job Endpoint
|
||||
|
||||
```
|
||||
POST /llm/job
|
||||
```
|
||||
|
||||
Submit an asynchronous LLM extraction job with optional webhook notification.
|
||||
|
||||
**Request Body:**
|
||||
```json
|
||||
{
|
||||
"url": "https://example.com/article",
|
||||
"q": "Extract the article title, author, publication date, and main points",
|
||||
"provider": "openai/gpt-4o-mini",
|
||||
"schema": "{\"title\": \"string\", \"author\": \"string\", \"date\": \"string\", \"points\": [\"string\"]}",
|
||||
"cache": false,
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/llm-complete",
|
||||
"webhook_data_in_payload": true,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Response:**
|
||||
```json
|
||||
{
|
||||
"task_id": "llm_1698765432",
|
||||
"message": "LLM job submitted"
|
||||
}
|
||||
```
|
||||
|
||||
#### 3. Job Status Endpoint
|
||||
|
||||
```
|
||||
GET /job/{task_id}
|
||||
```
|
||||
|
||||
Check the status and retrieve results of a submitted job.
|
||||
|
||||
**Response (In Progress):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"status": "processing",
|
||||
"message": "Job is being processed"
|
||||
}
|
||||
```
|
||||
|
||||
**Response (Completed):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"status": "completed",
|
||||
"result": {
|
||||
"markdown": "# Page Title\n\nContent...",
|
||||
"extracted_content": {...},
|
||||
"links": {...}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Webhook Configuration
|
||||
|
||||
Webhooks provide real-time notifications when your jobs complete, eliminating the need for constant polling.
|
||||
|
||||
#### Webhook Config Parameters
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `webhook_url` | string | Yes | Your HTTP(S) endpoint to receive notifications |
|
||||
| `webhook_data_in_payload` | boolean | No | Include full result data in webhook payload (default: false) |
|
||||
| `webhook_headers` | object | No | Custom headers for authentication/identification |
|
||||
|
||||
#### Webhook Payload Format
|
||||
|
||||
**Success Notification (Crawl Job):**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"task_type": "crawl",
|
||||
"status": "completed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com"],
|
||||
"data": {
|
||||
"markdown": "# Page content...",
|
||||
"extracted_content": {...},
|
||||
"links": {...}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Success Notification (LLM Job):**
|
||||
```json
|
||||
{
|
||||
"task_id": "llm_1698765432",
|
||||
"task_type": "llm_extraction",
|
||||
"status": "completed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com/article"],
|
||||
"data": {
|
||||
"extracted_content": {
|
||||
"title": "Understanding Web Scraping",
|
||||
"author": "John Doe",
|
||||
"date": "2025-10-22",
|
||||
"points": ["Point 1", "Point 2"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Failure Notification:**
|
||||
```json
|
||||
{
|
||||
"task_id": "crawl_1698765432",
|
||||
"task_type": "crawl",
|
||||
"status": "failed",
|
||||
"timestamp": "2025-10-22T12:30:00.000000+00:00",
|
||||
"urls": ["https://example.com"],
|
||||
"error": "Connection timeout after 30 seconds"
|
||||
}
|
||||
```
|
||||
|
||||
#### Webhook Delivery & Retry
|
||||
|
||||
- **Delivery Method:** HTTP POST to your `webhook_url`
|
||||
- **Content-Type:** `application/json`
|
||||
- **Retry Policy:** Exponential backoff with 5 attempts
|
||||
- Attempt 1: Immediate
|
||||
- Attempt 2: 1 second delay
|
||||
- Attempt 3: 2 seconds delay
|
||||
- Attempt 4: 4 seconds delay
|
||||
- Attempt 5: 8 seconds delay
|
||||
- **Success Status Codes:** 200-299
|
||||
- **Custom Headers:** Your `webhook_headers` are included in every request
|
||||
|
||||
### Usage Examples
|
||||
|
||||
#### Example 1: Python with Webhook Handler (Flask)
|
||||
|
||||
```python
|
||||
from flask import Flask, request, jsonify
|
||||
import requests
|
||||
|
||||
app = Flask(__name__)
|
||||
|
||||
# Webhook handler
|
||||
@app.route('/webhook/crawl-complete', methods=['POST'])
|
||||
def handle_crawl_webhook():
|
||||
payload = request.json
|
||||
|
||||
if payload['status'] == 'completed':
|
||||
print(f"✅ Job {payload['task_id']} completed!")
|
||||
print(f"Task type: {payload['task_type']}")
|
||||
|
||||
# Access the crawl results
|
||||
if 'data' in payload:
|
||||
markdown = payload['data'].get('markdown', '')
|
||||
extracted = payload['data'].get('extracted_content', {})
|
||||
print(f"Extracted {len(markdown)} characters")
|
||||
print(f"Structured data: {extracted}")
|
||||
else:
|
||||
print(f"❌ Job {payload['task_id']} failed: {payload.get('error')}")
|
||||
|
||||
return jsonify({"status": "received"}), 200
|
||||
|
||||
# Submit a crawl job with webhook
|
||||
def submit_crawl_job():
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={
|
||||
"urls": ["https://example.com"],
|
||||
"extraction_strategy": {
|
||||
"type": "JsonCssExtractionStrategy",
|
||||
"schema": {
|
||||
"name": "Example Schema",
|
||||
"baseSelector": "body",
|
||||
"fields": [
|
||||
{"name": "title", "selector": "h1", "type": "text"},
|
||||
{"name": "description", "selector": "meta[name='description']", "type": "attribute", "attribute": "content"}
|
||||
]
|
||||
}
|
||||
},
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/crawl-complete",
|
||||
"webhook_data_in_payload": True,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
task_id = response.json()['task_id']
|
||||
print(f"Job submitted: {task_id}")
|
||||
return task_id
|
||||
|
||||
if __name__ == '__main__':
|
||||
app.run(port=5000)
|
||||
```
|
||||
|
||||
#### Example 2: LLM Extraction with Webhooks
|
||||
|
||||
```python
|
||||
import requests
|
||||
|
||||
def submit_llm_job_with_webhook():
|
||||
response = requests.post(
|
||||
"http://localhost:11235/llm/job",
|
||||
json={
|
||||
"url": "https://example.com/article",
|
||||
"q": "Extract the article title, author, and main points",
|
||||
"provider": "openai/gpt-4o-mini",
|
||||
"webhook_config": {
|
||||
"webhook_url": "https://your-app.com/webhook/llm-complete",
|
||||
"webhook_data_in_payload": True,
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
task_id = response.json()['task_id']
|
||||
print(f"LLM job submitted: {task_id}")
|
||||
return task_id
|
||||
|
||||
# Webhook handler for LLM jobs
|
||||
@app.route('/webhook/llm-complete', methods=['POST'])
|
||||
def handle_llm_webhook():
|
||||
payload = request.json
|
||||
|
||||
if payload['status'] == 'completed':
|
||||
extracted = payload['data']['extracted_content']
|
||||
print(f"✅ LLM extraction completed!")
|
||||
print(f"Results: {extracted}")
|
||||
else:
|
||||
print(f"❌ LLM extraction failed: {payload.get('error')}")
|
||||
|
||||
return jsonify({"status": "received"}), 200
|
||||
```
|
||||
|
||||
#### Example 3: Without Webhooks (Polling)
|
||||
|
||||
If you don't use webhooks, you can poll for results:
|
||||
|
||||
```python
|
||||
import requests
|
||||
import time
|
||||
|
||||
# Submit job
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={"urls": ["https://example.com"]}
|
||||
)
|
||||
task_id = response.json()['task_id']
|
||||
|
||||
# Poll for results
|
||||
while True:
|
||||
result = requests.get(f"http://localhost:11235/job/{task_id}")
|
||||
data = result.json()
|
||||
|
||||
if data['status'] == 'completed':
|
||||
print("Job completed!")
|
||||
print(data['result'])
|
||||
break
|
||||
elif data['status'] == 'failed':
|
||||
print(f"Job failed: {data.get('error')}")
|
||||
break
|
||||
|
||||
print("Still processing...")
|
||||
time.sleep(2)
|
||||
```
|
||||
|
||||
#### Example 4: Global Webhook Configuration
|
||||
|
||||
Set a default webhook URL in your `config.yml` to avoid repeating it in every request:
|
||||
|
||||
```yaml
|
||||
# config.yml
|
||||
api:
|
||||
crawler:
|
||||
# ... other settings ...
|
||||
webhook:
|
||||
default_url: "https://your-app.com/webhook/default"
|
||||
default_headers:
|
||||
X-Webhook-Secret: "your-secret-token"
|
||||
```
|
||||
|
||||
Then submit jobs without webhook config:
|
||||
|
||||
```python
|
||||
# Uses the global webhook configuration
|
||||
response = requests.post(
|
||||
"http://localhost:11235/crawl/job",
|
||||
json={"urls": ["https://example.com"]}
|
||||
)
|
||||
```
|
||||
|
||||
### Webhook Best Practices
|
||||
|
||||
1. **Authentication:** Always use custom headers for webhook authentication
|
||||
```json
|
||||
"webhook_headers": {
|
||||
"X-Webhook-Secret": "your-secret-token"
|
||||
}
|
||||
```
|
||||
|
||||
2. **Idempotency:** Design your webhook handler to be idempotent (safe to receive duplicate notifications)
|
||||
|
||||
3. **Fast Response:** Return HTTP 200 quickly; process data asynchronously if needed
|
||||
```python
|
||||
@app.route('/webhook', methods=['POST'])
|
||||
def webhook():
|
||||
payload = request.json
|
||||
# Queue for background processing
|
||||
queue.enqueue(process_webhook, payload)
|
||||
return jsonify({"status": "received"}), 200
|
||||
```
|
||||
|
||||
4. **Error Handling:** Handle both success and failure notifications
|
||||
```python
|
||||
if payload['status'] == 'completed':
|
||||
# Process success
|
||||
elif payload['status'] == 'failed':
|
||||
# Log error, retry, or alert
|
||||
```
|
||||
|
||||
5. **Validation:** Verify webhook authenticity using custom headers
|
||||
```python
|
||||
secret = request.headers.get('X-Webhook-Secret')
|
||||
if secret != os.environ['EXPECTED_SECRET']:
|
||||
return jsonify({"error": "Unauthorized"}), 401
|
||||
```
|
||||
|
||||
6. **Logging:** Log webhook deliveries for debugging
|
||||
```python
|
||||
logger.info(f"Webhook received: {payload['task_id']} - {payload['status']}")
|
||||
```
|
||||
|
||||
### Use Cases
|
||||
|
||||
**1. Batch Processing**
|
||||
Submit hundreds of URLs and get notified as each completes:
|
||||
```python
|
||||
urls = ["https://site1.com", "https://site2.com", ...]
|
||||
for url in urls:
|
||||
submit_crawl_job(url, webhook_url="https://app.com/webhook")
|
||||
```
|
||||
|
||||
**2. Microservice Integration**
|
||||
Integrate with event-driven architectures:
|
||||
```python
|
||||
# Service A submits job
|
||||
task_id = submit_crawl_job(url)
|
||||
|
||||
# Service B receives webhook and triggers next step
|
||||
@app.route('/webhook')
|
||||
def webhook():
|
||||
process_result(request.json)
|
||||
trigger_next_service()
|
||||
return "OK", 200
|
||||
```
|
||||
|
||||
**3. Long-Running Extractions**
|
||||
Handle complex LLM extractions without timeouts:
|
||||
```python
|
||||
submit_llm_job(
|
||||
url="https://long-article.com",
|
||||
q="Comprehensive summary with key points and analysis",
|
||||
webhook_url="https://app.com/webhook/llm"
|
||||
)
|
||||
```
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
**Webhook not receiving notifications?**
|
||||
- Check your webhook URL is publicly accessible
|
||||
- Verify firewall/security group settings
|
||||
- Use webhook testing tools like webhook.site for debugging
|
||||
- Check server logs for delivery attempts
|
||||
- Ensure your handler returns 200-299 status code
|
||||
|
||||
**Job stuck in processing?**
|
||||
- Check Redis connection: `docker logs <container_name> | grep redis`
|
||||
- Verify worker processes: `docker exec <container_name> ps aux | grep worker`
|
||||
- Check server logs: `docker logs <container_name>`
|
||||
|
||||
**Need to cancel a job?**
|
||||
Jobs are processed asynchronously. If you need to cancel:
|
||||
- Delete the task from Redis (requires Redis CLI access)
|
||||
- Or implement a cancellation endpoint in your webhook handler
|
||||
|
||||
---
|
||||
|
||||
## Dockerfile Parameters
|
||||
|
||||
You can customize the image build process using build arguments (`--build-arg`). These are typically used via `docker buildx build` or within the `docker-compose.yml` file.
|
||||
|
||||
@@ -57,7 +57,7 @@
|
||||
|
||||
Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for large language models, AI agents, and data pipelines. Fully open source, flexible, and built for real-time performance, **Crawl4AI** empowers developers with unmatched speed, precision, and deployment ease.
|
||||
|
||||
> Enjoy using Crawl4AI? Consider **[becoming a sponsor](https://github.com/sponsors/unclecode)** to support ongoing development and community growth!
|
||||
> **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
|
||||
|
||||
## 🆕 AI Assistant Skill Now Available!
|
||||
|
||||
|
||||
@@ -529,19 +529,8 @@ class AdminDashboard {
|
||||
</label>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Long Description (Markdown - Overview tab)</label>
|
||||
<textarea id="form-long-description" rows="10" placeholder="Enter detailed description with markdown formatting...">${app?.long_description || ''}</textarea>
|
||||
<small>Markdown support: **bold**, *italic*, [links](url), # headers, code blocks, lists</small>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Integration Guide (Markdown - Integration tab)</label>
|
||||
<textarea id="form-integration" rows="20" placeholder="Enter integration guide with installation, examples, and code snippets using markdown...">${app?.integration_guide || ''}</textarea>
|
||||
<small>Single markdown field with installation, examples, and complete guide. Code blocks get auto copy buttons.</small>
|
||||
</div>
|
||||
<div class="form-group full-width">
|
||||
<label>Documentation (Markdown - Documentation tab)</label>
|
||||
<textarea id="form-documentation" rows="20" placeholder="Enter documentation with API reference, examples, and best practices using markdown...">${app?.documentation || ''}</textarea>
|
||||
<small>Full documentation with API reference, examples, best practices, etc.</small>
|
||||
<label>Integration Guide</label>
|
||||
<textarea id="form-integration" rows="10">${app?.integration_guide || ''}</textarea>
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
@@ -723,9 +712,7 @@ class AdminDashboard {
|
||||
data.contact_email = document.getElementById('form-email').value;
|
||||
data.featured = document.getElementById('form-featured').checked ? 1 : 0;
|
||||
data.sponsored = document.getElementById('form-sponsored').checked ? 1 : 0;
|
||||
data.long_description = document.getElementById('form-long-description').value;
|
||||
data.integration_guide = document.getElementById('form-integration').value;
|
||||
data.documentation = document.getElementById('form-documentation').value;
|
||||
} else if (type === 'articles') {
|
||||
data.title = document.getElementById('form-title').value;
|
||||
data.slug = this.generateSlug(data.title);
|
||||
|
||||
@@ -278,12 +278,12 @@
|
||||
}
|
||||
|
||||
.tab-content {
|
||||
display: none !important;
|
||||
display: none;
|
||||
padding: 2rem;
|
||||
}
|
||||
|
||||
.tab-content.active {
|
||||
display: block !important;
|
||||
display: block;
|
||||
}
|
||||
|
||||
/* Overview Layout */
|
||||
@@ -510,31 +510,6 @@
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
/* Markdown rendered code blocks */
|
||||
.integration-content pre,
|
||||
.docs-content pre {
|
||||
background: var(--bg-dark);
|
||||
border: 1px solid var(--border-color);
|
||||
margin: 1rem 0;
|
||||
padding: 1rem;
|
||||
padding-top: 2.5rem; /* Space for copy button */
|
||||
overflow-x: auto;
|
||||
position: relative;
|
||||
max-height: none; /* Remove any height restrictions */
|
||||
height: auto; /* Allow content to expand */
|
||||
}
|
||||
|
||||
.integration-content pre code,
|
||||
.docs-content pre code {
|
||||
background: transparent;
|
||||
padding: 0;
|
||||
color: var(--text-secondary);
|
||||
font-size: 0.875rem;
|
||||
line-height: 1.5;
|
||||
white-space: pre; /* Preserve whitespace and line breaks */
|
||||
display: block;
|
||||
}
|
||||
|
||||
/* Feature Grid */
|
||||
.feature-grid {
|
||||
display: grid;
|
||||
|
||||
@@ -73,14 +73,27 @@
|
||||
<div class="tabs">
|
||||
<button class="tab-btn active" data-tab="overview">Overview</button>
|
||||
<button class="tab-btn" data-tab="integration">Integration</button>
|
||||
<!-- <button class="tab-btn" data-tab="docs">Documentation</button>
|
||||
<button class="tab-btn" data-tab="support">Support</button> -->
|
||||
<button class="tab-btn" data-tab="docs">Documentation</button>
|
||||
<button class="tab-btn" data-tab="support">Support</button>
|
||||
</div>
|
||||
|
||||
<section id="overview-tab" class="tab-content active">
|
||||
<div class="overview-columns">
|
||||
<div class="overview-main">
|
||||
<h2>Overview</h2>
|
||||
<div id="app-overview">Overview content goes here.</div>
|
||||
|
||||
<h3>Key Features</h3>
|
||||
<ul id="app-features" class="features-list">
|
||||
<li>Feature 1</li>
|
||||
<li>Feature 2</li>
|
||||
<li>Feature 3</li>
|
||||
</ul>
|
||||
|
||||
<h3>Use Cases</h3>
|
||||
<div id="app-use-cases" class="use-cases">
|
||||
<p>Describe how this app can help your workflow.</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<aside class="sidebar">
|
||||
@@ -129,16 +142,37 @@
|
||||
</section>
|
||||
|
||||
<section id="integration-tab" class="tab-content">
|
||||
<div class="integration-content" id="app-integration">
|
||||
<div class="integration-content">
|
||||
<h2>Integration Guide</h2>
|
||||
|
||||
<h3>Installation</h3>
|
||||
<div class="code-block">
|
||||
<pre><code id="install-code"># Installation instructions will appear here</code></pre>
|
||||
</div>
|
||||
|
||||
<h3>Basic Usage</h3>
|
||||
<div class="code-block">
|
||||
<pre><code id="usage-code"># Usage example will appear here</code></pre>
|
||||
</div>
|
||||
|
||||
<h3>Complete Integration Example</h3>
|
||||
<div class="code-block">
|
||||
<button class="copy-btn" id="copy-integration">Copy</button>
|
||||
<pre><code id="integration-code"># Complete integration guide will appear here</code></pre>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- <section id="docs-tab" class="tab-content">
|
||||
<div class="docs-content" id="app-docs">
|
||||
<section id="docs-tab" class="tab-content">
|
||||
<div class="docs-content">
|
||||
<h2>Documentation</h2>
|
||||
<div id="app-docs" class="doc-sections">
|
||||
<p>Documentation coming soon.</p>
|
||||
</div>
|
||||
</div>
|
||||
</section> -->
|
||||
</section>
|
||||
|
||||
<!-- <section id="support-tab" class="tab-content">
|
||||
<section id="support-tab" class="tab-content">
|
||||
<div class="docs-content">
|
||||
<h2>Support</h2>
|
||||
<div class="support-grid">
|
||||
@@ -156,7 +190,7 @@
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section> -->
|
||||
</section>
|
||||
</div>
|
||||
|
||||
</main>
|
||||
|
||||
@@ -112,7 +112,7 @@ class AppDetailPage {
|
||||
}
|
||||
|
||||
// Contact
|
||||
document.getElementById('app-contact') && (document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available');
|
||||
document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
|
||||
|
||||
// Sidebar info
|
||||
document.getElementById('sidebar-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
|
||||
@@ -123,134 +123,146 @@ class AppDetailPage {
|
||||
document.getElementById('sidebar-pricing').textContent = this.appData.pricing || 'Free';
|
||||
document.getElementById('sidebar-contact').textContent = this.appData.contact_email || 'contact@example.com';
|
||||
|
||||
// Render tab contents from database fields
|
||||
this.renderTabContents();
|
||||
// Integration guide
|
||||
this.renderIntegrationGuide();
|
||||
}
|
||||
|
||||
renderTabContents() {
|
||||
// Overview tab - use long_description from database
|
||||
const overviewDiv = document.getElementById('app-overview');
|
||||
if (overviewDiv) {
|
||||
if (this.appData.long_description) {
|
||||
overviewDiv.innerHTML = this.renderMarkdown(this.appData.long_description);
|
||||
} else {
|
||||
overviewDiv.innerHTML = `<p>${this.appData.description || 'No overview available.'}</p>`;
|
||||
renderIntegrationGuide() {
|
||||
// Installation code
|
||||
const installCode = document.getElementById('install-code');
|
||||
if (installCode) {
|
||||
if (this.appData.type === 'Open Source' && this.appData.github_url) {
|
||||
installCode.textContent = `# Clone from GitHub
|
||||
git clone ${this.appData.github_url}
|
||||
|
||||
# Install dependencies
|
||||
pip install -r requirements.txt`;
|
||||
} else if (this.appData.name.toLowerCase().includes('api')) {
|
||||
installCode.textContent = `# Install via pip
|
||||
pip install ${this.appData.slug}
|
||||
|
||||
# Or install from source
|
||||
pip install git+${this.appData.github_url || 'https://github.com/example/repo'}`;
|
||||
}
|
||||
}
|
||||
|
||||
// Integration tab - use integration_guide field from database
|
||||
const integrationDiv = document.getElementById('app-integration');
|
||||
if (integrationDiv) {
|
||||
if (this.appData.integration_guide) {
|
||||
integrationDiv.innerHTML = this.renderMarkdown(this.appData.integration_guide);
|
||||
// Add copy buttons to all code blocks
|
||||
this.addCopyButtonsToCodeBlocks(integrationDiv);
|
||||
} else {
|
||||
integrationDiv.innerHTML = '<p>Integration guide not yet available. Please check the official website for details.</p>';
|
||||
// Usage code - customize based on category
|
||||
const usageCode = document.getElementById('usage-code');
|
||||
if (usageCode) {
|
||||
if (this.appData.category === 'Browser Automation') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
|
||||
|
||||
async def main():
|
||||
# Initialize ${this.appData.name}
|
||||
automation = ${this.appData.name.replace(/\s+/g, '')}()
|
||||
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
browser_config=automation.config,
|
||||
wait_for="css:body"
|
||||
)
|
||||
print(result.markdown)`;
|
||||
} else if (this.appData.category === 'Proxy Services') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
import ${this.appData.slug.replace(/-/g, '_')}
|
||||
|
||||
# Configure proxy
|
||||
proxy_config = {
|
||||
"server": "${this.appData.website_url || 'https://proxy.example.com'}",
|
||||
"username": "your_username",
|
||||
"password": "your_password"
|
||||
}
|
||||
|
||||
async with AsyncWebCrawler(proxy=proxy_config) as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
bypass_cache=True
|
||||
)
|
||||
print(result.status_code)`;
|
||||
} else if (this.appData.category === 'LLM Integration') {
|
||||
usageCode.textContent = `from crawl4ai import AsyncWebCrawler
|
||||
from crawl4ai.extraction_strategy import LLMExtractionStrategy
|
||||
|
||||
# Configure LLM extraction
|
||||
strategy = LLMExtractionStrategy(
|
||||
provider="${this.appData.name.toLowerCase().includes('gpt') ? 'openai' : 'anthropic'}",
|
||||
api_key="your-api-key",
|
||||
model="${this.appData.name.toLowerCase().includes('gpt') ? 'gpt-4' : 'claude-3'}",
|
||||
instruction="Extract structured data"
|
||||
)
|
||||
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
result = await crawler.arun(
|
||||
url="https://example.com",
|
||||
extraction_strategy=strategy
|
||||
)
|
||||
print(result.extracted_content)`;
|
||||
}
|
||||
}
|
||||
|
||||
// Documentation tab - use documentation field from database
|
||||
const docsDiv = document.getElementById('app-docs');
|
||||
if (docsDiv) {
|
||||
if (this.appData.documentation) {
|
||||
docsDiv.innerHTML = this.renderMarkdown(this.appData.documentation);
|
||||
// Add copy buttons to all code blocks
|
||||
this.addCopyButtonsToCodeBlocks(docsDiv);
|
||||
} else {
|
||||
docsDiv.innerHTML = '<p>Documentation coming soon.</p>';
|
||||
}
|
||||
// Integration example
|
||||
const integrationCode = document.getElementById('integration-code');
|
||||
if (integrationCode) {
|
||||
integrationCode.textContent = this.appData.integration_guide ||
|
||||
`# Complete ${this.appData.name} Integration Example
|
||||
|
||||
from crawl4ai import AsyncWebCrawler
|
||||
from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
|
||||
import json
|
||||
|
||||
async def crawl_with_${this.appData.slug.replace(/-/g, '_')}():
|
||||
"""
|
||||
Complete example showing how to use ${this.appData.name}
|
||||
with Crawl4AI for production web scraping
|
||||
"""
|
||||
|
||||
# Define extraction schema
|
||||
schema = {
|
||||
"name": "ProductList",
|
||||
"baseSelector": "div.product",
|
||||
"fields": [
|
||||
{"name": "title", "selector": "h2", "type": "text"},
|
||||
{"name": "price", "selector": ".price", "type": "text"},
|
||||
{"name": "image", "selector": "img", "type": "attribute", "attribute": "src"},
|
||||
{"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
|
||||
]
|
||||
}
|
||||
|
||||
# Initialize crawler with ${this.appData.name}
|
||||
async with AsyncWebCrawler(
|
||||
browser_type="chromium",
|
||||
headless=True,
|
||||
verbose=True
|
||||
) as crawler:
|
||||
|
||||
# Crawl with extraction
|
||||
result = await crawler.arun(
|
||||
url="https://example.com/products",
|
||||
extraction_strategy=JsonCssExtractionStrategy(schema),
|
||||
cache_mode="bypass",
|
||||
wait_for="css:.product",
|
||||
screenshot=True
|
||||
)
|
||||
|
||||
# Process results
|
||||
if result.success:
|
||||
products = json.loads(result.extracted_content)
|
||||
print(f"Found {len(products)} products")
|
||||
|
||||
for product in products[:5]:
|
||||
print(f"- {product['title']}: {product['price']}")
|
||||
|
||||
return products
|
||||
|
||||
# Run the crawler
|
||||
if __name__ == "__main__":
|
||||
import asyncio
|
||||
asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
|
||||
}
|
||||
}
|
||||
|
||||
addCopyButtonsToCodeBlocks(container) {
|
||||
// Find all code blocks and add copy buttons
|
||||
const codeBlocks = container.querySelectorAll('pre code');
|
||||
codeBlocks.forEach(codeBlock => {
|
||||
const pre = codeBlock.parentElement;
|
||||
|
||||
// Skip if already has a copy button
|
||||
if (pre.querySelector('.copy-btn')) return;
|
||||
|
||||
// Create copy button
|
||||
const copyBtn = document.createElement('button');
|
||||
copyBtn.className = 'copy-btn';
|
||||
copyBtn.textContent = 'Copy';
|
||||
copyBtn.onclick = () => {
|
||||
navigator.clipboard.writeText(codeBlock.textContent).then(() => {
|
||||
copyBtn.textContent = '✓ Copied!';
|
||||
setTimeout(() => {
|
||||
copyBtn.textContent = 'Copy';
|
||||
}, 2000);
|
||||
});
|
||||
};
|
||||
|
||||
// Add button to pre element
|
||||
pre.style.position = 'relative';
|
||||
pre.insertBefore(copyBtn, codeBlock);
|
||||
});
|
||||
}
|
||||
|
||||
renderMarkdown(text) {
|
||||
if (!text) return '';
|
||||
|
||||
// Store code blocks temporarily to protect them from processing
|
||||
const codeBlocks = [];
|
||||
let processed = text.replace(/```(\w+)?\n([\s\S]*?)```/g, (match, lang, code) => {
|
||||
const placeholder = `___CODE_BLOCK_${codeBlocks.length}___`;
|
||||
codeBlocks.push(`<pre><code class="language-${lang || ''}">${this.escapeHtml(code)}</code></pre>`);
|
||||
return placeholder;
|
||||
});
|
||||
|
||||
// Store inline code temporarily
|
||||
const inlineCodes = [];
|
||||
processed = processed.replace(/`([^`]+)`/g, (match, code) => {
|
||||
const placeholder = `___INLINE_CODE_${inlineCodes.length}___`;
|
||||
inlineCodes.push(`<code>${this.escapeHtml(code)}</code>`);
|
||||
return placeholder;
|
||||
});
|
||||
|
||||
// Now process the rest of the markdown
|
||||
processed = processed
|
||||
// Headers
|
||||
.replace(/^### (.*$)/gim, '<h3>$1</h3>')
|
||||
.replace(/^## (.*$)/gim, '<h2>$1</h2>')
|
||||
.replace(/^# (.*$)/gim, '<h1>$1</h1>')
|
||||
// Bold
|
||||
.replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
|
||||
// Italic
|
||||
.replace(/\*(.*?)\*/g, '<em>$1</em>')
|
||||
// Links
|
||||
.replace(/\[([^\]]+)\]\(([^)]+)\)/g, '<a href="$2" target="_blank">$1</a>')
|
||||
// Line breaks
|
||||
.replace(/\n\n/g, '</p><p>')
|
||||
.replace(/\n/g, '<br>')
|
||||
// Lists
|
||||
.replace(/^\* (.*)$/gim, '<li>$1</li>')
|
||||
.replace(/^- (.*)$/gim, '<li>$1</li>')
|
||||
// Wrap in paragraphs
|
||||
.replace(/^(?!<[h|p|pre|ul|ol|li])/gim, '<p>')
|
||||
.replace(/(?<![>])$/gim, '</p>');
|
||||
|
||||
// Restore inline code
|
||||
inlineCodes.forEach((code, i) => {
|
||||
processed = processed.replace(`___INLINE_CODE_${i}___`, code);
|
||||
});
|
||||
|
||||
// Restore code blocks
|
||||
codeBlocks.forEach((block, i) => {
|
||||
processed = processed.replace(`___CODE_BLOCK_${i}___`, block);
|
||||
});
|
||||
|
||||
return processed;
|
||||
}
|
||||
|
||||
escapeHtml(text) {
|
||||
const div = document.createElement('div');
|
||||
div.textContent = text;
|
||||
return div.innerHTML;
|
||||
}
|
||||
|
||||
formatNumber(num) {
|
||||
if (num >= 1000000) {
|
||||
return (num / 1000000).toFixed(1) + 'M';
|
||||
@@ -263,27 +275,45 @@ class AppDetailPage {
|
||||
setupEventListeners() {
|
||||
// Tab switching
|
||||
const tabs = document.querySelectorAll('.tab-btn');
|
||||
|
||||
tabs.forEach(tab => {
|
||||
tab.addEventListener('click', () => {
|
||||
// Update active tab button
|
||||
// Update active tab
|
||||
tabs.forEach(t => t.classList.remove('active'));
|
||||
tab.classList.add('active');
|
||||
|
||||
// Show corresponding content
|
||||
const tabName = tab.dataset.tab;
|
||||
|
||||
// Hide all tab contents
|
||||
const allTabContents = document.querySelectorAll('.tab-content');
|
||||
allTabContents.forEach(content => {
|
||||
document.querySelectorAll('.tab-content').forEach(content => {
|
||||
content.classList.remove('active');
|
||||
});
|
||||
document.getElementById(`${tabName}-tab`).classList.add('active');
|
||||
});
|
||||
});
|
||||
|
||||
// Show the selected tab content
|
||||
const targetTab = document.getElementById(`${tabName}-tab`);
|
||||
if (targetTab) {
|
||||
targetTab.classList.add('active');
|
||||
}
|
||||
// Copy integration code
|
||||
document.getElementById('copy-integration').addEventListener('click', () => {
|
||||
const code = document.getElementById('integration-code').textContent;
|
||||
navigator.clipboard.writeText(code).then(() => {
|
||||
const btn = document.getElementById('copy-integration');
|
||||
const originalText = btn.innerHTML;
|
||||
btn.innerHTML = '<span>✓</span> Copied!';
|
||||
setTimeout(() => {
|
||||
btn.innerHTML = originalText;
|
||||
}, 2000);
|
||||
});
|
||||
});
|
||||
|
||||
// Copy code buttons
|
||||
document.querySelectorAll('.copy-btn').forEach(btn => {
|
||||
btn.addEventListener('click', (e) => {
|
||||
const codeBlock = e.target.closest('.code-block');
|
||||
const code = codeBlock.querySelector('code').textContent;
|
||||
navigator.clipboard.writeText(code).then(() => {
|
||||
btn.textContent = 'Copied!';
|
||||
setTimeout(() => {
|
||||
btn.textContent = 'Copy';
|
||||
}, 2000);
|
||||
});
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
@@ -471,17 +471,13 @@ async def delete_sponsor(sponsor_id: int):
|
||||
|
||||
app.include_router(router)
|
||||
|
||||
# Version info
|
||||
VERSION = "1.1.0"
|
||||
BUILD_DATE = "2025-10-26"
|
||||
|
||||
@app.get("/")
|
||||
async def root():
|
||||
"""API info"""
|
||||
return {
|
||||
"name": "Crawl4AI Marketplace API",
|
||||
"version": VERSION,
|
||||
"build_date": BUILD_DATE,
|
||||
"version": "1.0.0",
|
||||
"endpoints": [
|
||||
"/marketplace/api/apps",
|
||||
"/marketplace/api/articles",
|
||||
|
||||
@@ -31,7 +31,7 @@ dependencies = [
|
||||
"rank-bm25~=0.2",
|
||||
"snowballstemmer~=2.2",
|
||||
"pydantic>=2.10",
|
||||
"pyOpenSSL>=25.3.0",
|
||||
"pyOpenSSL>=24.3.0",
|
||||
"psutil>=6.1.1",
|
||||
"PyYAML>=6.0",
|
||||
"nltk>=3.9.1",
|
||||
|
||||
@@ -19,7 +19,7 @@ rank-bm25~=0.2
|
||||
colorama~=0.4
|
||||
snowballstemmer~=2.2
|
||||
pydantic>=2.10
|
||||
pyOpenSSL>=25.3.0
|
||||
pyOpenSSL>=24.3.0
|
||||
psutil>=6.1.1
|
||||
PyYAML>=6.0
|
||||
nltk>=3.9.1
|
||||
|
||||
@@ -364,19 +364,5 @@ async def test_network_error_handling():
|
||||
async with AsyncPlaywrightCrawlerStrategy() as strategy:
|
||||
await strategy.crawl("https://invalid.example.com", config)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_remove_overlay_elements(crawler_strategy):
|
||||
config = CrawlerRunConfig(
|
||||
remove_overlay_elements=True,
|
||||
delay_before_return_html=5,
|
||||
)
|
||||
|
||||
response = await crawler_strategy.crawl(
|
||||
"https://www2.hm.com/en_us/index.html",
|
||||
config
|
||||
)
|
||||
assert response.status_code == 200
|
||||
assert "Accept all cookies" not in response.html
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v"])
|
||||
@@ -1,220 +0,0 @@
|
||||
"""
|
||||
Final verification test for Issue #1055 fix
|
||||
|
||||
This test demonstrates that LLM extraction now runs in parallel
|
||||
when using arun_many with multiple URLs.
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import asyncio
|
||||
|
||||
grandparent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
sys.path.append(grandparent_dir)
|
||||
|
||||
from crawl4ai import (
|
||||
AsyncWebCrawler,
|
||||
BrowserConfig,
|
||||
CrawlerRunConfig,
|
||||
CacheMode,
|
||||
LLMExtractionStrategy,
|
||||
LLMConfig,
|
||||
)
|
||||
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class SimpleData(BaseModel):
|
||||
title: str
|
||||
summary: str
|
||||
|
||||
|
||||
def print_section(title):
|
||||
print("\n" + "=" * 80)
|
||||
print(title)
|
||||
print("=" * 80 + "\n")
|
||||
|
||||
|
||||
async def test_without_llm():
|
||||
"""Baseline: Test crawling without LLM extraction"""
|
||||
print_section("TEST 1: Crawling WITHOUT LLM Extraction")
|
||||
|
||||
config = CrawlerRunConfig(
|
||||
cache_mode=CacheMode.BYPASS,
|
||||
)
|
||||
|
||||
browser_config = BrowserConfig(headless=True, verbose=False)
|
||||
|
||||
urls = [
|
||||
"https://www.example.com",
|
||||
"https://www.iana.org",
|
||||
"https://www.wikipedia.org",
|
||||
]
|
||||
|
||||
print(f"Crawling {len(urls)} URLs without LLM extraction...")
|
||||
print("Expected: Fast and parallel\n")
|
||||
|
||||
start_time = time.time()
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
results = await crawler.arun_many(urls=urls, config=config)
|
||||
|
||||
duration = time.time() - start_time
|
||||
|
||||
print(f"\n✅ Completed in {duration:.2f}s")
|
||||
print(f" Successful: {sum(1 for r in results if r.success)}/{len(urls)}")
|
||||
print(f" Average: {duration/len(urls):.2f}s per URL")
|
||||
|
||||
return duration
|
||||
|
||||
|
||||
async def test_with_llm_before_fix():
|
||||
"""Demonstrate the problem: Sequential execution with LLM"""
|
||||
print_section("TEST 2: What Issue #1055 Reported (LLM Sequential Behavior)")
|
||||
|
||||
print("The issue reported that with LLM extraction, URLs would crawl")
|
||||
print("one after another instead of in parallel.")
|
||||
print("\nWithout our fix, this would show:")
|
||||
print(" - URL 1 fetches → extracts → completes")
|
||||
print(" - URL 2 fetches → extracts → completes")
|
||||
print(" - URL 3 fetches → extracts → completes")
|
||||
print("\nTotal time would be approximately sum of all individual times.")
|
||||
|
||||
|
||||
async def test_with_llm_after_fix():
|
||||
"""Demonstrate the fix: Parallel execution with LLM"""
|
||||
print_section("TEST 3: After Fix - LLM Extraction in Parallel")
|
||||
|
||||
config = CrawlerRunConfig(
|
||||
cache_mode=CacheMode.BYPASS,
|
||||
extraction_strategy=LLMExtractionStrategy(
|
||||
llm_config=LLMConfig(provider="openai/gpt-4o-mini"),
|
||||
schema=SimpleData.model_json_schema(),
|
||||
extraction_type="schema",
|
||||
instruction="Extract title and summary",
|
||||
)
|
||||
)
|
||||
|
||||
browser_config = BrowserConfig(headless=True, verbose=False)
|
||||
|
||||
urls = [
|
||||
"https://www.example.com",
|
||||
"https://www.iana.org",
|
||||
"https://www.wikipedia.org",
|
||||
]
|
||||
|
||||
print(f"Crawling {len(urls)} URLs WITH LLM extraction...")
|
||||
print("Expected: Parallel execution with our fix\n")
|
||||
|
||||
completion_times = {}
|
||||
start_time = time.time()
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
results = await crawler.arun_many(urls=urls, config=config)
|
||||
for result in results:
|
||||
elapsed = time.time() - start_time
|
||||
completion_times[result.url] = elapsed
|
||||
print(f" [{elapsed:5.2f}s] ✓ {result.url[:50]}")
|
||||
|
||||
duration = time.time() - start_time
|
||||
|
||||
print(f"\n✅ Total time: {duration:.2f}s")
|
||||
print(f" Successful: {sum(1 for url in urls if url in completion_times)}/{len(urls)}")
|
||||
|
||||
# Analyze parallelism
|
||||
times = list(completion_times.values())
|
||||
if len(times) >= 2:
|
||||
# If parallel, completion times should be staggered, not evenly spaced
|
||||
time_diffs = [times[i+1] - times[i] for i in range(len(times)-1)]
|
||||
avg_diff = sum(time_diffs) / len(time_diffs)
|
||||
|
||||
print(f"\nParallelism Analysis:")
|
||||
print(f" Completion time differences: {[f'{d:.2f}s' for d in time_diffs]}")
|
||||
print(f" Average difference: {avg_diff:.2f}s")
|
||||
|
||||
# In parallel mode, some tasks complete close together
|
||||
# In sequential mode, they're evenly spaced (avg ~2-3s apart)
|
||||
if avg_diff < duration / len(urls):
|
||||
print(f" ✅ PARALLEL: Tasks completed with overlapping execution")
|
||||
else:
|
||||
print(f" ⚠️ SEQUENTIAL: Tasks completed one after another")
|
||||
|
||||
return duration
|
||||
|
||||
|
||||
async def test_multiple_arun_calls():
|
||||
"""Test multiple individual arun() calls in parallel"""
|
||||
print_section("TEST 4: Multiple arun() Calls with asyncio.gather")
|
||||
|
||||
config = CrawlerRunConfig(
|
||||
cache_mode=CacheMode.BYPASS,
|
||||
extraction_strategy=LLMExtractionStrategy(
|
||||
llm_config=LLMConfig(provider="openai/gpt-4o-mini"),
|
||||
schema=SimpleData.model_json_schema(),
|
||||
extraction_type="schema",
|
||||
instruction="Extract title and summary",
|
||||
)
|
||||
)
|
||||
|
||||
browser_config = BrowserConfig(headless=True, verbose=False)
|
||||
|
||||
urls = [
|
||||
"https://www.example.com",
|
||||
"https://www.iana.org",
|
||||
"https://www.wikipedia.org",
|
||||
]
|
||||
|
||||
print(f"Running {len(urls)} arun() calls with asyncio.gather()...")
|
||||
print("Expected: True parallel execution\n")
|
||||
|
||||
start_time = time.time()
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config) as crawler:
|
||||
tasks = [crawler.arun(url, config=config) for url in urls]
|
||||
results = await asyncio.gather(*tasks)
|
||||
|
||||
duration = time.time() - start_time
|
||||
|
||||
print(f"\n✅ Completed in {duration:.2f}s")
|
||||
print(f" Successful: {sum(1 for r in results if r.success)}/{len(urls)}")
|
||||
print(f" This proves the async LLM extraction works correctly")
|
||||
|
||||
return duration
|
||||
|
||||
|
||||
async def main():
|
||||
print("\n" + "🚀" * 40)
|
||||
print("ISSUE #1055 FIX VERIFICATION")
|
||||
print("Testing: Sequential → Parallel LLM Extraction")
|
||||
print("🚀" * 40)
|
||||
|
||||
# Run tests
|
||||
await test_without_llm()
|
||||
|
||||
await test_with_llm_before_fix()
|
||||
|
||||
time_with_llm = await test_with_llm_after_fix()
|
||||
|
||||
time_gather = await test_multiple_arun_calls()
|
||||
|
||||
# Final summary
|
||||
print_section("FINAL VERDICT")
|
||||
|
||||
print("✅ Fix Verified!")
|
||||
print("\nWhat changed:")
|
||||
print(" • Created aperform_completion_with_backoff() using litellm.acompletion")
|
||||
print(" • Added arun() method to ExtractionStrategy base class")
|
||||
print(" • Implemented parallel arun() in LLMExtractionStrategy")
|
||||
print(" • Updated AsyncWebCrawler to use arun() when available")
|
||||
print("\nResult:")
|
||||
print(" • LLM extraction now runs in parallel across multiple URLs")
|
||||
print(" • Backward compatible - existing strategies still work")
|
||||
print(" • No breaking changes to the API")
|
||||
print("\n✨ Issue #1055 is RESOLVED!")
|
||||
|
||||
print("\n" + "=" * 80 + "\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -1,168 +0,0 @@
|
||||
"""
|
||||
Lightweight test to verify pyOpenSSL security fix (Issue #1545).
|
||||
|
||||
This test verifies the security requirements are met:
|
||||
1. pyOpenSSL >= 25.3.0 is installed
|
||||
2. cryptography >= 45.0.7 is installed (above vulnerable range)
|
||||
3. SSL/TLS functionality works correctly
|
||||
|
||||
This test can run without full crawl4ai dependencies installed.
|
||||
"""
|
||||
|
||||
import sys
|
||||
from packaging import version
|
||||
|
||||
|
||||
def test_package_versions():
|
||||
"""Test that package versions meet security requirements."""
|
||||
print("=" * 70)
|
||||
print("TEST: Package Version Security Requirements (Issue #1545)")
|
||||
print("=" * 70)
|
||||
|
||||
all_passed = True
|
||||
|
||||
# Test pyOpenSSL version
|
||||
try:
|
||||
import OpenSSL
|
||||
pyopenssl_version = OpenSSL.__version__
|
||||
print(f"\n✓ pyOpenSSL is installed: {pyopenssl_version}")
|
||||
|
||||
if version.parse(pyopenssl_version) >= version.parse("25.3.0"):
|
||||
print(f" ✓ PASS: pyOpenSSL {pyopenssl_version} >= 25.3.0 (required)")
|
||||
else:
|
||||
print(f" ✗ FAIL: pyOpenSSL {pyopenssl_version} < 25.3.0 (required)")
|
||||
all_passed = False
|
||||
|
||||
except ImportError as e:
|
||||
print(f"\n✗ FAIL: pyOpenSSL not installed - {e}")
|
||||
all_passed = False
|
||||
|
||||
# Test cryptography version
|
||||
try:
|
||||
import cryptography
|
||||
crypto_version = cryptography.__version__
|
||||
print(f"\n✓ cryptography is installed: {crypto_version}")
|
||||
|
||||
# The vulnerable range is >=37.0.0 & <43.0.1
|
||||
# We need >= 45.0.7 to be safe
|
||||
if version.parse(crypto_version) >= version.parse("45.0.7"):
|
||||
print(f" ✓ PASS: cryptography {crypto_version} >= 45.0.7 (secure)")
|
||||
print(f" ✓ NOT in vulnerable range (37.0.0 to 43.0.0)")
|
||||
elif version.parse(crypto_version) >= version.parse("37.0.0") and version.parse(crypto_version) < version.parse("43.0.1"):
|
||||
print(f" ✗ FAIL: cryptography {crypto_version} is VULNERABLE")
|
||||
print(f" ✗ Version is in vulnerable range (>=37.0.0 & <43.0.1)")
|
||||
all_passed = False
|
||||
else:
|
||||
print(f" ⚠ WARNING: cryptography {crypto_version} < 45.0.7")
|
||||
print(f" ⚠ May not meet security requirements")
|
||||
|
||||
except ImportError as e:
|
||||
print(f"\n✗ FAIL: cryptography not installed - {e}")
|
||||
all_passed = False
|
||||
|
||||
return all_passed
|
||||
|
||||
|
||||
def test_ssl_basic_functionality():
|
||||
"""Test that SSL/TLS basic functionality works."""
|
||||
print("\n" + "=" * 70)
|
||||
print("TEST: SSL/TLS Basic Functionality")
|
||||
print("=" * 70)
|
||||
|
||||
try:
|
||||
import OpenSSL.SSL
|
||||
|
||||
# Create a basic SSL context to verify functionality
|
||||
context = OpenSSL.SSL.Context(OpenSSL.SSL.TLSv1_2_METHOD)
|
||||
print("\n✓ SSL Context created successfully")
|
||||
print(" ✓ PASS: SSL/TLS functionality is working")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n✗ FAIL: SSL functionality test failed - {e}")
|
||||
return False
|
||||
|
||||
|
||||
def test_pyopenssl_crypto_integration():
|
||||
"""Test that pyOpenSSL and cryptography integration works."""
|
||||
print("\n" + "=" * 70)
|
||||
print("TEST: pyOpenSSL <-> cryptography Integration")
|
||||
print("=" * 70)
|
||||
|
||||
try:
|
||||
from OpenSSL import crypto
|
||||
|
||||
# Generate a simple key pair to test integration
|
||||
key = crypto.PKey()
|
||||
key.generate_key(crypto.TYPE_RSA, 2048)
|
||||
|
||||
print("\n✓ Generated RSA key pair successfully")
|
||||
print(" ✓ PASS: pyOpenSSL and cryptography are properly integrated")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n✗ FAIL: Integration test failed - {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
def main():
|
||||
"""Run all security tests."""
|
||||
print("\n")
|
||||
print("╔" + "=" * 68 + "╗")
|
||||
print("║ pyOpenSSL Security Fix Verification - Issue #1545 ║")
|
||||
print("╚" + "=" * 68 + "╝")
|
||||
print("\nVerifying that the pyOpenSSL update resolves the security vulnerability")
|
||||
print("in the cryptography package (CVE: versions >=37.0.0 & <43.0.1)\n")
|
||||
|
||||
results = []
|
||||
|
||||
# Test 1: Package versions
|
||||
results.append(("Package Versions", test_package_versions()))
|
||||
|
||||
# Test 2: SSL functionality
|
||||
results.append(("SSL Functionality", test_ssl_basic_functionality()))
|
||||
|
||||
# Test 3: Integration
|
||||
results.append(("pyOpenSSL-crypto Integration", test_pyopenssl_crypto_integration()))
|
||||
|
||||
# Summary
|
||||
print("\n" + "=" * 70)
|
||||
print("TEST SUMMARY")
|
||||
print("=" * 70)
|
||||
|
||||
all_passed = True
|
||||
for test_name, passed in results:
|
||||
status = "✓ PASS" if passed else "✗ FAIL"
|
||||
print(f"{status}: {test_name}")
|
||||
all_passed = all_passed and passed
|
||||
|
||||
print("=" * 70)
|
||||
|
||||
if all_passed:
|
||||
print("\n✓✓✓ ALL TESTS PASSED ✓✓✓")
|
||||
print("✓ Security vulnerability is resolved")
|
||||
print("✓ pyOpenSSL >= 25.3.0 is working correctly")
|
||||
print("✓ cryptography >= 45.0.7 (not vulnerable)")
|
||||
print("\nThe dependency update is safe to merge.\n")
|
||||
return True
|
||||
else:
|
||||
print("\n✗✗✗ SOME TESTS FAILED ✗✗✗")
|
||||
print("✗ Security requirements not met")
|
||||
print("\nDo NOT merge until all tests pass.\n")
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = main()
|
||||
sys.exit(0 if success else 1)
|
||||
except KeyboardInterrupt:
|
||||
print("\n\nTest interrupted by user")
|
||||
sys.exit(1)
|
||||
except Exception as e:
|
||||
print(f"\n✗ Unexpected error: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
@@ -1,184 +0,0 @@
|
||||
"""
|
||||
Test script to verify pyOpenSSL update doesn't break crawl4ai functionality.
|
||||
|
||||
This test verifies:
|
||||
1. pyOpenSSL and cryptography versions are correct and secure
|
||||
2. Basic crawling functionality still works
|
||||
3. HTTPS/SSL connections work properly
|
||||
4. Stealth mode integration works (uses playwright-stealth internally)
|
||||
|
||||
Issue: #1545 - Security vulnerability in cryptography package
|
||||
Fix: Updated pyOpenSSL from >=24.3.0 to >=25.3.0
|
||||
Expected: cryptography package should be >=45.0.7 (above vulnerable range)
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import sys
|
||||
from packaging import version
|
||||
|
||||
|
||||
def check_versions():
|
||||
"""Verify pyOpenSSL and cryptography versions meet security requirements."""
|
||||
print("=" * 60)
|
||||
print("STEP 1: Checking Package Versions")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
import OpenSSL
|
||||
pyopenssl_version = OpenSSL.__version__
|
||||
print(f"✓ pyOpenSSL version: {pyopenssl_version}")
|
||||
|
||||
# Check pyOpenSSL >= 25.3.0
|
||||
if version.parse(pyopenssl_version) >= version.parse("25.3.0"):
|
||||
print(f" ✓ Version check passed: {pyopenssl_version} >= 25.3.0")
|
||||
else:
|
||||
print(f" ✗ Version check FAILED: {pyopenssl_version} < 25.3.0")
|
||||
return False
|
||||
|
||||
except ImportError as e:
|
||||
print(f"✗ Failed to import pyOpenSSL: {e}")
|
||||
return False
|
||||
|
||||
try:
|
||||
import cryptography
|
||||
crypto_version = cryptography.__version__
|
||||
print(f"✓ cryptography version: {crypto_version}")
|
||||
|
||||
# Check cryptography >= 45.0.7 (above vulnerable range)
|
||||
if version.parse(crypto_version) >= version.parse("45.0.7"):
|
||||
print(f" ✓ Security check passed: {crypto_version} >= 45.0.7 (not vulnerable)")
|
||||
else:
|
||||
print(f" ✗ Security check FAILED: {crypto_version} < 45.0.7 (potentially vulnerable)")
|
||||
return False
|
||||
|
||||
except ImportError as e:
|
||||
print(f"✗ Failed to import cryptography: {e}")
|
||||
return False
|
||||
|
||||
print("\n✓ All version checks passed!\n")
|
||||
return True
|
||||
|
||||
|
||||
async def test_basic_crawl():
|
||||
"""Test basic crawling functionality with HTTPS site."""
|
||||
print("=" * 60)
|
||||
print("STEP 2: Testing Basic HTTPS Crawling")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
from crawl4ai import AsyncWebCrawler
|
||||
|
||||
async with AsyncWebCrawler(verbose=True) as crawler:
|
||||
# Test with a simple HTTPS site (requires SSL/TLS)
|
||||
print("Crawling example.com (HTTPS)...")
|
||||
result = await crawler.arun(
|
||||
url="https://www.example.com",
|
||||
bypass_cache=True
|
||||
)
|
||||
|
||||
if result.success:
|
||||
print(f"✓ Crawl successful!")
|
||||
print(f" - Status code: {result.status_code}")
|
||||
print(f" - Content length: {len(result.html)} bytes")
|
||||
print(f" - SSL/TLS connection: ✓ Working")
|
||||
return True
|
||||
else:
|
||||
print(f"✗ Crawl failed: {result.error_message}")
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
print(f"✗ Test failed with error: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
async def test_stealth_mode():
|
||||
"""Test stealth mode functionality (depends on playwright-stealth)."""
|
||||
print("\n" + "=" * 60)
|
||||
print("STEP 3: Testing Stealth Mode Integration")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
from crawl4ai import AsyncWebCrawler, BrowserConfig
|
||||
|
||||
# Create browser config with stealth mode
|
||||
browser_config = BrowserConfig(
|
||||
headless=True,
|
||||
verbose=False
|
||||
)
|
||||
|
||||
async with AsyncWebCrawler(config=browser_config, verbose=True) as crawler:
|
||||
print("Crawling with stealth mode enabled...")
|
||||
result = await crawler.arun(
|
||||
url="https://www.example.com",
|
||||
bypass_cache=True
|
||||
)
|
||||
|
||||
if result.success:
|
||||
print(f"✓ Stealth crawl successful!")
|
||||
print(f" - Stealth mode: ✓ Working")
|
||||
return True
|
||||
else:
|
||||
print(f"✗ Stealth crawl failed: {result.error_message}")
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
print(f"✗ Stealth test failed with error: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
async def main():
|
||||
"""Run all tests."""
|
||||
print("\n")
|
||||
print("╔" + "=" * 58 + "╗")
|
||||
print("║ pyOpenSSL Security Update Verification Test (Issue #1545) ║")
|
||||
print("╚" + "=" * 58 + "╝")
|
||||
print("\n")
|
||||
|
||||
# Step 1: Check versions
|
||||
versions_ok = check_versions()
|
||||
if not versions_ok:
|
||||
print("\n✗ FAILED: Version requirements not met")
|
||||
return False
|
||||
|
||||
# Step 2: Test basic crawling
|
||||
crawl_ok = await test_basic_crawl()
|
||||
if not crawl_ok:
|
||||
print("\n✗ FAILED: Basic crawling test failed")
|
||||
return False
|
||||
|
||||
# Step 3: Test stealth mode
|
||||
stealth_ok = await test_stealth_mode()
|
||||
if not stealth_ok:
|
||||
print("\n✗ FAILED: Stealth mode test failed")
|
||||
return False
|
||||
|
||||
# All tests passed
|
||||
print("\n" + "=" * 60)
|
||||
print("FINAL RESULT")
|
||||
print("=" * 60)
|
||||
print("✓ All tests passed successfully!")
|
||||
print("✓ pyOpenSSL update is working correctly")
|
||||
print("✓ No breaking changes detected")
|
||||
print("✓ Security vulnerability resolved")
|
||||
print("=" * 60)
|
||||
print("\n")
|
||||
|
||||
return True
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = asyncio.run(main())
|
||||
sys.exit(0 if success else 1)
|
||||
except KeyboardInterrupt:
|
||||
print("\n\nTest interrupted by user")
|
||||
sys.exit(1)
|
||||
except Exception as e:
|
||||
print(f"\n✗ Unexpected error: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
Reference in New Issue
Block a user