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Stop vibe
web scraping.

Build a production-grade data pipeline without the trial-and-error.
No Selenium/Playwright hell, no expensive AI-agent overhead.
Build once. Run forever.

Early access · Limited spots
~/scrapers/products — playwright.spawn
$ python scrape.py --url "https://shop.example/products"
[00:14] launching chromium… ok
[00:16] waiting for selector '.product-card .price'
[00:46] TimeoutError: page.wait_for_selector: Timeout 30000ms exceeded.
[00:47] retry 1/3 with 'div[data-sku] span'
[01:17] SelectorNotFound: locator resolved to 0 elements
[01:18] retry 2/3 with '.grid > li .amt'
[01:48] TimeoutError: Retrying…
[01:49] modal popup detected — dismissing…
[01:51] ElementIntercepted: overlay blocks click
[01:52] re-opening scrape.py in editor…
[01:55] it's 2:41am
$
Spent 3 hours testing selectors? That's not engineering. That's gambling.
No Selenium/ No Playwright hell/ No Browser-MCP overhead/ Build once/ Run forever/ Zero 2am pages/ No Selenium/ No Playwright hell/ No Browser-MCP overhead/ Build once/ Run forever/ Zero 2am pages/

Two roads
to nowhere.

You're stuck in a build-loop you didn't ask for.

01 / The Manual Grind Dead end

Hours of
vibe coding selectors.

Back-and-forth testing in Playwright or Selenium. Hard to build. Fragile to maintain. A total sink for dev time — and it dies the moment the site changes one <div>.

02 / The AI-MCP Tax Dead end

AI agents
reasoning every page.

Easier to set up — but every request burns a hole in your wallet. Browser-MCP is slow, and hallucinations make your data unreliable. You're paying an LLM to re-think the same page a thousand times.

tokens / minute
yosonce is the third road.

Record once.
Get data forever.

30 seconds of pointing. A production scraper that runs indefinitely.

01 / Record
Point at the data you want.
No code. No CSS selectors. Click the elements you care about — the extension remembers.
02 / Compile
AI maps your blueprint. Once.
AI is used exactly here — and then it steps out. Selectors, DOM structure, and data shape locked into a deterministic blueprint.
03 / Run
Engine executes. Every time.
No LLM at runtime. No guessing. Same blueprint, same output — a thousand runs in a row.
§ 02 · The intelligence used once
AI builds
the Blueprint.

A one-time compile. Our AI watches the site, maps selectors, pagination, popups, and data shapes into a single deterministic blueprint — and then steps out of the way.

▲ blueprint · compiledv1 · shop.example
URL FETCH popups·scroll step 01 PARSE selectors·dom step 02 SHAPE typed schema step 03 BLUEPRINT out
↓ then ↓
§ 03 · The execution used consistently
Engine runs
the Blueprint.

A plain deterministic worker. No thinking. No tokens. No browser-agents. Just fast, stable compute — the same blueprint, executed the same way, a thousand times in a row.

✦ the law
No LLM in the loop at runtime.
Stable. Cheap. Forever.
§ 04 · Transparency
Site changed?
Rebuild in 60s.

We don't pretend scrapers auto-heal. If a layout shifts, one click re-compiles the blueprint — no debugging, no selector archeology, no Saturday. A feature, not an apology.

Two plans.
No asterisks.

1 credit per minute of runtime. Building a new site costs ~20 credits. That's all the math.

Starter
$9.99 / month
500 credits / month

For the indie dev building a few data pipelines. Enough room to ship ~25 new sites and run them on a schedule.

  • Build ~25 new sites · 20 credits each
  • ~1 credit/min of runtime
  • Unlimited blueprints stored
  • JSON / CSV / webhook export

Two knobs.
One honest number.

Slide to see what your month on yosonce looks like, versus a pure-AI setup.

Sites to build
8sites
11225
Runs per month
2,400runs
1001,2502,500
Total monthly credits
2,560
Suggested plan · Pro — $49.99/mo
Headroom: 440 credits left on Pro
Equivalent workload on pure-AI scraping: $240. You save 80%.

Stop fighting
the web.
Start owning
the data.

We're launching to a limited group first. Drop your email and we'll let you know when your spot is ready.

Tweaks