Automatic-web-scraper-with-LLM-parsing
This project is an automatic web scraper that uses the LLM Ollama gpt-oss:20b to parse the body content of a web page. The application is built using Streamlit for the user interface and various Python libraries for web scraping and parsing.
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Per-day rates divide a measured star count by the days it covers: the interval between two snapshots for Rising fastest, the age of the repository for New and fast. They are not fixed 24-hour changes, and stars show interest, not quality.