Swipenode

Lightning-fast web extraction for AI agents. Extracts structured JSON from Next.js, Nuxt.js, Gatsby, Remix without headless browsers. TLS spoofing bypasses Cloudflare. 98% fewer tokens vs raw HTML. Use for e-commerce, news scraping, API-less data collection, or when web_fetch/browser overhead is too high.

SwipeNode Skill

Lightning-fast, zero-render web extraction CLI built for AI agents.
Extracts structured data (Next.js/Nuxt.js) without headless browsers.

Repo: https://github.com/sirToby99/swipenode

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Binary

text

~/.openclaw/workspace/skills/swipenode/swipenode

Built from source (Go 1.24), single static binary, no runtime dependencies.

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Commands

Extract (single URL)

bash

~/.openclaw/workspace/skills/swipenode/swipenode extract --url <url>

Extract + filter with jq

bash

~/.openclaw/workspace/skills/swipenode/swipenode extract --url https://shop.example.com | jq '.props.pageProps.product'

Batch (multiple URLs concurrently)

bash

~/.openclaw/workspace/skills/swipenode/swipenode batch --urls "https://a.com,https://b.com"

MCP Server (for Claude Desktop / local agents)

bash

~/.openclaw/workspace/skills/swipenode/swipenode mcp

Install as MCP in Claude Desktop

bash

~/.openclaw/workspace/skills/swipenode/swipenode install-mcp

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What it extracts

Framework	Data source
Next.js	__NEXT_DATA__ JSON blob
Nuxt.js	window.__NUXT__
Gatsby	window.___gatsby
Remix	window.__remixContext
JSON-LD	<script type="application/ld+json">
Fallback	Clean visible text (boilerplate stripped)

Smart pruning: Strips tracking pixels, telemetry, base64 images, UI noise → up to 98% fewer tokens vs raw HTML.

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When to use vs web_fetch

Situation	Tool
Data-rich site (Next.js shop, news portal)	swipenode
Cloudflare-protected site	swipenode (TLS spoofing)
Need structured JSON from React/Vue app	swipenode
Simple static page / docs	web_fetch
Need screenshots / DOM interaction	browser
308/421 redirect errors	try web_fetch as fallback

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Known Limitations

• HTTP 308/421 redirect errors on some CDN-hosted sites (e.g. vercel.com, nextjs.org) — use web_fetch as fallback
• No JavaScript execution — if data is loaded client-side only, won't help
• No DOM interaction (no clicks, forms)

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Examples

HN front page (clean text fallback)

bash

~/.openclaw/workspace/skills/swipenode/swipenode extract --url https://news.ycombinator.com
# Returns: clean list of titles, points, comments

E-Commerce product data (Next.js)

bash

~/.openclaw/workspace/skills/swipenode/swipenode extract --url https://shop.example.com/product/123 | jq '.props.pageProps'

Token savings comparison

text

Raw HTML → LLM:      ~15.000 tokens (div soup, scripts, tracking)
SwipeNode extract:   ~300 tokens (clean structured JSON)
Savings:             ~98%

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Build from source

bash

# Requires Go 1.24+
export PATH="/tmp/go/bin:$PATH"  # or system Go
git clone https://github.com/sirToby99/swipenode.git /tmp/swipenode-build
cd /tmp/swipenode-build
go build -o ~/.openclaw/workspace/skills/swipenode/swipenode .