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Spyweb

Scrape and monitor the web from one self-hosted binary

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Web scraping and monitoring usually means wiring together a runtime, browser, database, scheduler, and alerting. Or paying a SaaS. SpyWeb collapses that into one ~8MB self-hosted cross-platform binary: TOML jobs, Lua hooks, scheduling, dedupe, embedded storage, dashboard + programmable REST API, CDP automation (any CDP-compatible browser or endpoint, local or cloud), webhooks, hot reload, and a Lua test runner. Built for developers, self-hosters, and teams tracking prices, listings, and content.

PH · launched Nov 13, 2026 · 1 upvote (top 65%) · 0 views

Niche: web scraping tools and apis · 172 launches, 12 in the last 7 days ▲ +9% · Explore this niche →

Category and tags
  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Commercial product
  • Open Source
  • Developer Tools
  • GitHub

Visit website ↗ Source listing ↗

More like this: all 172 launches in web scraping tools and apis →

Could you build this?

Partial The configuration, scheduling, and dashboard are vibe-codeable, but a robust single-binary scraper with embedded browser automation, anti-bot resilience, and cross-platform packaging demands serious systems engineering.

What it would actually take: Write it in Go or Rust, embedding a SQLite-style store, a cron-style scheduler, a Lua runtime (for example gopher-lua or mlua), and a CDP client that drives headless Chromium. The hard parts are keeping scrapers working against changing sites and bot defenses, and making the binary portable with minimal dependencies. This needs experienced backend and browser-automation engineering to maintain.

Competitors

Other products that read as similar to this one : 209 launches clear the similarity bar, closest 8 shown.

Attention rank: #93 of 210 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 377 days after the earliest competitor.

Related data

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.