Paste a link, name the fields you want — name, price, sku, in_stock — and we email back structured JSON. AI extracts it and a human verifies it, so you're not building on data a scraper quietly got wrong.
Extracted Data
Capture URL
example-store.com/products
Extract Name
Premium Widget Pro
Extract Price
$299
Inspect Network
🌐 From API (not on page):
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
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.
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.
We email you verified JSON
AI extracts the data, a human checks the JSON is correct, and the file lands in your inbox ready to drop into a prototype or an import.
A file, not a live API.
A human verifies the JSON
AI extracts, a person confirms the fields are right before you get the file. That verification layer is the difference between data you can build on and a silent breakage.
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
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 are AI scrapers that return JSON automatically — and break quietly when a site changes, leaving you to discover it downstream. Our wedge is the human verification layer: a person confirms the JSON is correct before you get it. We trade some speed and volume for data you can actually trust.
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. Because a human verifies the output, it's email-delivered rather than instant — small jobs come back quickly, larger ones take a bit longer. We optimize for getting it right, not for low latency at scale.