I built a scraping engine where the LLM writes configs, not code
45
SCORE
Fitter is a scraping engine that uses LLM-generated configuration files rather than custom code to define data extraction logic. Users describe what they want to scrape and the LLM produces the config, which Fitter then executes against target pages. The project is open source and available on GitHub.
Sources (1)
1 PTS
Score Breakdown
Traction
raw 1.00 · weight 35%
3.5pts
Novelty
0 days old · weight 20%
20.0pts
Source diversity
1 source · weight 10%
3.3pts
AI quality
raw 52.00 · weight 35%
18.2pts
Interesting LLM-config approach to scraping, but zero traction signals and unclear differentiation from existing scraping frameworks limit confidence.
Final Score45/100
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