Convert Any Webpage Into LLM Dataset - Local and Free - LLM Scraper
AI Summary
Summary: llm Scripper Tool Overview
- Tool Introduction:
- Name: llm Scripper
- Purpose: Scrapes websites and converts data to structured JSON format.
- Platforms: Windows, Linux
- Use Cases: AI applications, API integration, vector databases.
- JSON Format:
- Easily converted to JSONL, a common dataset format.
- Widely compatible with APIs.
- Features:
- Local model support.
- Supports GG UF and OpenAI models (requires paid account).
- Zod schema validation library integration.
- Playwright browser automation framework utilization.
- TypeScript for type safety.
- Multiple input modes: HTML, Markdown, text, image.
- Streaming support for crawling multiple pages.
- Installation Guide:
- Prerequisites: Node.js and npm.
- Installation via PowerShell.
- Download local models from Hugging Face.
- Usage:
- Code setup in Visual Studio Code.
- Import libraries, launch Chromium, instantiate llm with a model.
- Define schema with Zod, set URL, and run scraper.
- Output: JSON format data from web pages.
- Alternative Usage with OpenAI:
- Requires OpenAI API key from platform.openai.com.
- Similar setup with OpenAI’s GPT-4 Turbo instead of a local model.
- Conclusion:
- llm Scripper is an effective tool for converting web pages into structured data.
- The tutorial includes installation, usage, and integration with OpenAI.
- The creator offers assistance for any issues and encourages subscribing and sharing the video.