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.
Capture URL
example-store.com/products
Extract Name
Premium Widget Pro
Extract Price
$299
Inspect Network
🌐 From API (not on page):
Powering data-driven decisions for the world's most sophisticated investment firms
in Assets Under Management
Data Points Extracted & Validated
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.
One URL or a list - a category page, a directory, a public data table. JS-rendered and paginated pages work.
One link or hundreds.
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.
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.
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.
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.
You get the same schema across every record, with real nulls where a value is missing - not a hallucinated number filling the gap.
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.
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.