Ofure Ikheloa
fd4e8c9c05
- Implement LLMJobRefiner class for processing job data with Gemini API - Add new job_scraper2.py with enhanced scraping capabilities - Remove search_keywords parameter from scraping engine - Add environment variable loading in config.py - Update main script to use new scraper and target field
31 lines
822 B
Python
31 lines
822 B
Python
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from scraping_engine import FingerprintScrapingEngine
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from job_scraper2 import LinkedInJobScraper
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import os
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from dotenv import load_dotenv
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import asyncio
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# Load environment variables
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load_dotenv()
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async def main():
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engine = FingerprintScrapingEngine(
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seed="job_scraping_engine",
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target_os="windows",
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db_path="job_listings.db",
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markdown_path="job_listings.md"
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)
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# Initialize scraper with target field
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scraper = LinkedInJobScraper(engine, human_speed=1.6, target_field="Web designer")
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await scraper.scrape_jobs(
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search_keywords="Web Designer location:New York",
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credentials={
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"email": os.getenv("SCRAPING_USERNAME"),
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"password": os.getenv("SCRAPING_PASSWORD")
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}
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)
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if __name__ == "__main__":
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asyncio.run(main()) |