Scrape.do's LLM-Ready Data Extraction API simplifies the process of turning web data into structured Markdown, suitable for training Large Language Models (LLMs). It extracts data from any website, converts it into Markdown, and bypasses Web Application Firewalls (WAFs) using rotating proxies, header management, and CAPTCHA solving.
Key Features:
- Markdown Output: Converts web content into clean, structured Markdown format.
- WAF Bypass: Uses rotating proxies, header management, and CAPTCHA bypass to avoid blocks.
- Crawler Integration: Open-source Python library to crawl and scrape entire websites.
- Scalability: Processes millions of requests daily with a high success rate.
Use Cases:
- Training LLMs with structured web data.
- Creating documentation from websites.
- Populating knowledge bases with scraped content.
- Automating data extraction for AI applications.
