Extract and parse content from URLs and files
parserskillsetup L2★0
Sheshiyer/skill-clusters ↗What it does
Parse structured data from unstructured text or documents
Best for
Semantic parsing extracts meaning from messy human text—outperforms regex on variants and typos.
Inputs
- · raw text, HTML, PDF, or Markdown
Outputs
- · structured JSON/schema
- · field extraction confidence scores
Requires
- · LLM (for semantic parsing)
- · optional: regex for known patterns
Preconditions
Input document exists; target schema defined
Failure modes
Hallucinated fields if schema too loose; missed data if format variant not trained on; low confidence on ambiguous input
Trust signals
- · confidence scores per field
- · validation against schema constraints
- · fallback to human review for low-confidence extracts