Element to LLM
AI-ready JSON snapshots of your live DOM (actual page)
What it does
1-click snapshots of an element’s runtime DOM into clean JSON (attributes, text, computed styles, visibility, hierarchy). Works in Chrome, Firefox & Arc. Local-only, zero telemetry. Ideal for LLM prompts, QA/UX reviews and debugging.
Does a similar job
all alternatives →- ETElement to LLM – Extension That Turns Runtime DOM into JSON for LLMs2025 · ▲6
We built a browser extension (Chrome + Firefox) that captures the runtime DOM and exports it as JSON. Not the pre-render source (HTML/CSS/JS, templates, bundles) and not a screenshot — but the live, post-render state the browser is actually displaying: - visibility/hidden, disabled/required - current input values and validation/validationMessage - dataset attributes - trimmed text - stable selector paths Why: LLMs often miss or guess UI state. Screenshots are too opaque, pre-render source is too noisy. A structured snapshot gives reproducible context for debugging…
- RLRobust LLM extractor for websites in TypeScriptMar 2026 · github.com · ▲72
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
- ICI created snapDOM to capture DOM nodes as images with exceptional speed2025 · github.com · ▲120
Geekflare Scraping API v2Apr 2026 · geekflare.com · ▲84RAG-ready web scraping that cuts your LLM token costs
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Launched alongside, October 2025
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