Developer tools decision

Webclaw

Self-host the supplied AGPL-3.0 Webclaw repo rather than reimplementing; you can run the official server and CLI locally for the same core functionality and avoid the hosted $19/mo tier.

Visit website
You pay

$19/mo

$228/yr

Read off the official pricing page.

You’d pay instead

$20one-off6 h to build

$60/mo5 h/mo upkeep

On cash alone, building overtakes the subscription at 4 seats.

What a replacement has to do

  • Receive a URL -> fetch page (with bot-evasion/proxy) -> convert HTML to LLM-ready markdown/JSON -> return via REST endpoint or CLI.

What it still won’t have

  • Hosted credit-pool billing, team plan and support SLAs
  • Managed scale, proxy infrastructure and operational runbook
  • Hosted convenience (no self-host maintenance, upgrades, or uptime guarantees)

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 4 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted instance of Webclaw from the official GitHub repository (Rust). Stack: Docker + docker-compose (or systemd) on an Ubuntu 22.04 VM (DigitalOcean/AWS). Core features in scope: clone and build the repository, run webclaw-server behind Caddy or Nginx with TLS, configure API key auth, enable proxy rotation via proxies.txt, enable MCP server and CLI binaries, and wire an optional local Ollama fallback plus instructions for OpenAI/Anthropic API keys. Out of scope: reimplementing extraction logic or writing a new crawler. Require logging, health checks, systemd/service files or docker-compose, basic automated test that exercises /v1/scrape and the CLI, error handling for fetch failures and rate limits, and a README with upgrade and backup steps.
How we checked5 sources · 1/1 runs agreed · evidence score 99

How the score was reached

  • Self-host verdict base92
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 1/1 assessment runs agreed+4
  • Evidence score99

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 1 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded