Website → JSON

Turn any web page into clean JSON

Paste a link, name the fields you want - name, price, sku, in_stock - and we email back structured JSON. The agent reads the page by meaning and quality checks run before it sends, and a missing value comes back null rather than invented.

https://example-store.com/products
Data from API (not visible on page)
🌐 Intercepted
API Response Data:
{
"inventory": "147 units",
"supplier": "Acme Widgets Inc",
"lastUpdated": "2 hours ago",
"storeLocation": "New York, 5th Ave"
}
💡 This data is not visible on the page

Extracted Data

Capture URL

🔗

example-store.com/products

Extract Name

Premium Widget Pro

Extract Price

$299

Inspect Network

🌐 From API (not on page):

inventory:147 units
supplier:Acme Widgets Inc
last Updated:2 hours ago
store Location:New York, 5th Ave
Extraction Complete4/4 fields

Convert a website to JSON

Paste the link(s) and name the fields you want. We'll email you clean, quality-checked JSON.

Free

Next: create your free account so your JSON file only ever reaches you. 30 seconds, no card.

Our clients

Trusted by leading hedge funds

Powering data-driven decisions for the world's most sophisticated investment firms

$100B+

in Assets Under Management

100K+

Data Points Extracted & Validated

AI scrapers break quietly and you find out downstream

The whole category now promises "natural language in, JSON out, 95% accuracy." The problem is the other 5%: when a site changes, an AI scraper silently mislabels a field or hallucinates a value, and you find out when your pipeline is already full of garbage.

  • Silent breakage: the site shifts its layout and the scraper keeps returning JSON - just with the wrong values in it.
  • Hallucinated fields: a model fills a missing price with something plausible instead of leaving it null.
  • Setup for a one-off: standing up Firecrawl, Apify, or a scraping API is a lot of work to pull one site's listings once.
  • No second pair of eyes: nothing checks the output before it lands in your database and spreads.

How it works

1

Paste your link(s)

One URL or a list - a category page, a directory, a public data table. JS-rendered and paginated pages work.

One link or hundreds.

2

Name the fields you want

Plain English: "name, price, sku, in_stock for every product." We structure the JSON to match - consistent keys, real nulls where data is missing.

Plain English, not selectors.

3

We email you checked JSON

The agent extracts the data, automated checks confirm every record carries the keys you named, and the file lands in your inbox ready for a prototype or an import.

A file, not a live API.

Checks run on the JSON

The agent extracts, then automated checks confirm the keys you named are present and shaped the way you'd expect before the file is sent.

Zero setup for a one-off

No scraping framework to stand up or API to wire in. Paste a link, name the fields, get clean JSON - the try-before-you-build front door.

Consistent keys and honest nulls

You get the same schema across every record, with real nulls where a value is missing - not a hallucinated number filling the gap.

Built for correctness, not volume

For high-volume, low-latency pipelines we're slower and email-delivered. Where we win is one-offs and data important enough to be right the first time.

What devs and analysts pull as JSON

  • Every product's name, price, and rating off a category page → JSON
  • Prototyping against one site's listings, once, before building a pipeline
  • A directory → structured JSON for a CRM import
  • A public data table → clean JSON with consistent keys
  • A marketplace's listings → JSON to test a feature against

Our investors

Backed by the best

backed by world-class investors who believe in our vision

Y Combinator logo

Questions people ask

No. This is a one-off file - you paste a link, we email you the JSON. If you need recurring or programmatic access on a schedule, that's a paid upgrade and we can talk through what your pipeline needs.

Those hand you a scraper to run and maintain, pinned to the markup of the day you built it. Here you name the pages and the fields, the agent reads each page by meaning rather than by selector, and automated checks run on every record before the file is sent. A value the page doesn't have comes back null instead of guessed.

You get a real null for that field, not a guessed value. We keep the schema consistent across every record so a missing price reads as null instead of a hallucinated number you'd never catch.

From a single page to a list of hundreds of URLs. The file is delivered by email rather than instantly - small jobs come back quickly, larger ones take a bit longer. We optimize for getting it right, not for low latency at scale.

Turn any web page into clean JSON

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