4d283ab386
A slew of exciting updates to improve the crawler's stability and robustness! 🎉 - 💻 **UTF encoding fix**: Resolved the Windows \"charmap\" error by adding UTF encoding. - 🛡️ **Error handling**: Implemented MaxRetryError exception handling in LocalSeleniumCrawlerStrategy. - 🧹 **Input sanitization**: Improved input sanitization and handled encoding issues in LLMExtractionStrategy. - 🚮 **Database cleanup**: Removed existing database file and initialized a new one.
47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
import os
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import time
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import json
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from crawl4ai.web_crawler import WebCrawler
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from crawl4ai.chunking_strategy import *
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from crawl4ai.extraction_strategy import *
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from crawl4ai.crawler_strategy import *
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url = r'https://marketplace.visualstudio.com/items?itemName=Unclecode.groqopilot'
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crawler = WebCrawler()
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crawler.warmup()
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from pydantic import BaseModel, Field
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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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result = crawler.run(
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url=url,
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word_count_threshold=1,
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extraction_strategy= LLMExtractionStrategy(
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provider= "openai/gpt-4o", api_token = os.getenv('OPENAI_API_KEY'),
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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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bypass_cache=True,
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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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