mirror of
https://github.com/unclecode/crawl4ai.git
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04e83aa3c7
Update docs/examples to use current API: - proxy → proxy_config in BrowserConfig - result.fit_markdown → result.markdown.fit_markdown - result.fit_html → result.markdown.fit_html - markdown_v2 deprecation notes updated - bypass_cache → cache_mode=CacheMode.BYPASS - LLMExtractionStrategy now uses llm_config=LLMConfig(...) - CrawlerConfig → CrawlerRunConfig - cache_mode string values → CacheMode enum - Fix missing CacheMode import in local-files.md - Fix indentation in app-detail.html example - Fix tautological cache mode descriptions in arun.md From PR #1770 by @maksimzayats
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
Python
import asyncio
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import json
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import os
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from pydantic import BaseModel, Field
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from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, LLMConfig
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from crawl4ai import CacheMode, LLMExtractionStrategy
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url = r"https://marketplace.visualstudio.com/items?itemName=Unclecode.groqopilot"
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class PageSummary(BaseModel):
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title: str = Field(..., description="Title of the page.")
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summary: str = Field(..., description="Summary of the page.")
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brief_summary: str = Field(..., description="Brief summary of the page.")
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keywords: list = Field(..., description="Keywords assigned to the page.")
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async def main():
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async with AsyncWebCrawler() as crawler:
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result = await crawler.arun(
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url=url,
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config=CrawlerRunConfig(
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word_count_threshold=1,
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cache_mode=CacheMode.BYPASS,
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extraction_strategy=LLMExtractionStrategy(
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llm_config=LLMConfig(
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provider="openai/gpt-4o",
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api_token=os.getenv("OPENAI_API_KEY"),
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),
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schema=PageSummary.model_json_schema(),
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extraction_type="schema",
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apply_chunking=False,
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instruction="From the crawled content, extract the following details: "
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"1. Title of the page "
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"2. Summary of the page, which is a detailed summary "
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"3. Brief summary of the page, which is a paragraph text "
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"4. Keywords assigned to the page, which is a list of keywords. "
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'The extracted JSON format should look like this: '
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'{ "title": "Page Title", "summary": "Detailed summary of the page.", "brief_summary": "Brief summary in a paragraph.", "keywords": ["keyword1", "keyword2", "keyword3"] }',
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),
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),
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)
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page_summary = json.loads(result.extracted_content)
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print(page_summary)
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with open(".data/page_summary.json", "w", encoding="utf-8") as f:
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f.write(result.extracted_content)
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if __name__ == "__main__":
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asyncio.run(main())
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