extractor = CursorExtractor(schema) for log_file in Path("data/raw/logs").glob("*.log"): content = log_file.read_text() extractor.extract_from_text(content, str(log_file))
find data/raw -name "*.log" | entr -r python extractor/run_extractor.py Then ask Cursor AI: “Show me the diff of extracted errors between the last two runs.” Cursor Extractor can output to: Cursor Extractor
inside Cursor Composer today: “Extract all email addresses and dates from the selected text. Output JSON.” build your own extractor library.
That’s your first extraction. From there, build your own extractor library. Cursor Extractor