Open a rendered page, describe the fields you want, and return structured data without hand-maintaining brittle selectors.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Extract schema-shaped JSON from JavaScript-rendered pages with llm-scraper"
slug: "extract-schema-shaped-json-from-javascript-rendered-pages-with-llm-scraper"
description: "Open a rendered page, describe the fields you want, and return structured data without hand-maintaining brittle selectors."
github_stars: 6260
verification: "security_reviewed"
source: "https://github.com/mishushakov/llm-scraper"
author: "mishushakov"
publisher_type: "individual"
category: "Research & Scraping"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "mishushakov/llm-scraper"
github_stars: 6260
npm_package: "llm-scraper"
npm_weekly_downloads: 3803
---
# Extract schema-shaped JSON from JavaScript-rendered pages with llm-scraper
Open a rendered page, describe the fields you want, and return structured data without hand-maintaining brittle selectors.
## Prerequisites
Node.js, Playwright-compatible browser runtime, llm-scraper package, supported LLM provider credentials, target URLs
## Installation
Use the upstream install or setup path that matches your environment:
- npm i zod playwright llm-scraper
- npm i @ai-sdk/openai
- npm i @ai-sdk/anthropic
- npm i @ai-sdk/google
Basic usage or getting-started notes:
- Install the required dependencies from npm:
- Initialize your LLM:
- **OpenAI**
- Source: https://github.com/mishushakov/llm-scraper
- Extracted from upstream docs: https://raw.githubusercontent.com/mishushakov/llm-scraper/HEAD/README.md
## Documentation
- https://github.com/mishushakov/llm-scraper
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/extract-schema-shaped-json-from-javascript-rendered-pages-with-llm-scraper/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.