Trawl – Scrape any site with natural language fields, not CSS selectors
LLM infers selectors once, Go extracts 10k rows—smart AI-for-intelligence architecture.
Schema-first, self-healing HTML extraction powered by LLMs
LLM-generated selector caching beats manual scraping, but Jina AI and Beautiful Soup handle this cheaper.
Backend developers, data engineers, web scraping teams using Node.js
Apify · Puppeteer · Scrapy with adaptive selectors
LLM infers selectors once, Go extracts 10k rows—smart AI-for-intelligence architecture.
Embeds DOM selectors in markdown comments so scrapers don't need LLM on every run.
AI agents read llms.txt to upload files autonomously, bypassing manual configuration.
CSS flex ordering makes textContent return garbage while visual rendering stays perfect.
AI-powered selectors sound good, but Firecrawl, JinaAI, and Bright Data already do this—for less friction.
LLM-flavored scraper, but Firecrawl, Jina, and jsoup already handle dynamic extraction.