---
title: "Instructor Structured Data Extraction from LLMs"
description: "Instructor is a multi-language library for extracting structured, validated data from LLM outputs. It patches LLM client libraries to return Pydantic models (Python) or Zod schemas (TypeScript) instead of raw text, supporting 15+ providers including OpenAI, Anthropic, and Google."
verification: "security_reviewed"
source: "https://github.com/567-labs/instructor"
category:
  - "Data Extraction & Transformation"
framework:
  - "Custom Agents"
tool_ecosystem:
  github_repo: "567-labs/instructor"
  github_stars: 12666
---

# Instructor Structured Data Extraction from LLMs

Instructor is a multi-language library for extracting structured, validated data from LLM outputs. It patches LLM client libraries to return Pydantic models (Python) or Zod schemas (TypeScript) instead of raw text, supporting 15+ providers including OpenAI, Anthropic, and Google.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/instructor-structured-data-extraction-llms/)