This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+14 more
Summary
AI summaryDynamic challenge detection and full escalation cascade improve stealth scraping.
Full changelog
What's New
🛡️ Stealth 10/10
- Dynamic challenge detection — automatically detects Cloudflare, PerimeterX, Akamai, DataDome, Incapsula, and generic block pages with confidence scoring
- Full escalation cascade: simple → browser → stealth → stealth+wait → return with warning
- 28 stealth domains with auto-detection (Amazon, eBay, Walmart, Nike, LinkedIn, and more)
- Updated user agents (Chrome 132-136) with dynamic Sec-CH-UA header generation
challengeDetectedflag on responses when a site can't be bypassed
🔍 Site-Aware Search
webpeel search --site ebay "charizard card"— 27 sites, 7 categories, no URL knowledge needed- Shopping: eBay, Amazon, Walmart, Target, Best Buy, Etsy, AliExpress, Newegg
- General: Google, Bing, DuckDuckGo
- Social: Reddit, YouTube, X/Twitter, LinkedIn
- Tech: GitHub, Stack Overflow, npm, PyPI
- Plus: jobs, real estate, food categories
webpeel sitesto list all supported templates
🤖 Agent Mode
--agentflag sets --json, --silent, --extract-all, --budget 4000 in one shotagentModeoption in library API:peel(url, { agentMode: true })- MCP server defaults to 4,000 token budget for agent callers
📊 Listing Extraction
--extract-allauto-detects repeated DOM patterns (product cards, search results)--tablefor Unicode box-drawing tables,--csvfor CSV export--pages <n>for multi-page pagination--scroll-extractfor infinite scroll extraction
Stats
- 368 tests passing
- 1,847+ lines added across 12 files
- Live verified on 10+ real sites
Full Changelog: https://github.com/webpeel/webpeel/compare/v0.8.1...v0.9.0
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About webpeel/webpeel
Smart web fetcher for AI agents with auto-escalation from HTTP to headless browser to stealth mode. Includes 9 MCP tools: fetch, search, crawl, map, extract, batch, screenshot, jobs, and agent. Achieved 100% success rate on a 30-URL benchmark.
Related context
Beta — feedback welcome: [email protected]