Resilient Python agent for automated job scraping with intelligent parsing and NLP-powered analysis
Job AI Agent is an intelligent automation tool that scrapes job postings from multiple platforms, extracts relevant information, and provides analytical insights using natural language processing. The agent is designed to be resilient, handling various website structures and anti-bot measures.
Built with Python using modern web scraping and ML libraries. Key technical components include:
Handling the variety of website structures required building a flexible parsing system with multiple strategies. This was solved by creating a plugin architecture where each job board has a custom extractor.
Anti-bot measures and rate limiting were addressed through intelligent request scheduling, proxy rotation, and mimicking human browsing behavior with random delays.
Check out the source code and documentation on GitHub
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