Extract web data into structured JSON, no scraper required.
Define a schema, pass a URL, get back JSON that matches. Tabstack's extract endpoint turns any web page into structured output, no parsing code and no LLM call to maintain. generate endpoint adds AI instructions for reasoned answers, not raw fields. Both enforce your schema on every call, even when the page changes. Tune speed with effort levels, target any country with geo_target. Mozilla-backed: your data is never sold or used to train models. 10,000 free credits to start.
There's one piece of code that gets rebuilt at almost every company: the layer that turns a web page into data you can actually use. Fetch, parse, clean, pipe it through an LLM, force it into the shape you wanted. Nobody wants to own it, and it breaks the second a page changes.
That's the thing we deleted.
With Structured Extraction you define the schema, pass a URL, and get JSON back that matches. The reasoning happens inside the call, so there's no parsing code and no second LLM step bolted on after. `extract` pulls the fields you define. `generate` adds instructions on top when you want a reasoned answer, not just raw values.
It's built inside Mozilla, which matters here: the pages we fetch and the data you send are never sold or used to train models.
I'd love to know what you're stuck extracting right now: the messy site, the SPA that fights you, the schema that never holds. Drop your extraction struggle below.
About Tabstack Structured Extraction on Product Hunt
“Extract web data into structured JSON, no scraper required.”
Tabstack Structured Extraction launched on Product Hunt on June 11th, 2026 and earned 190 upvotes and 37 comments, placing #8 on the daily leaderboard. Define a schema, pass a URL, get back JSON that matches. Tabstack's extract endpoint turns any web page into structured output, no parsing code and no LLM call to maintain. generate endpoint adds AI instructions for reasoned answers, not raw fields. Both enforce your schema on every call, even when the page changes. Tune speed with effort levels, target any country with geo_target. Mozilla-backed: your data is never sold or used to train models. 10,000 free credits to start.
On the analytics side, Tabstack Structured Extraction competes within API and Developer Tools — topics that collectively have 612.1k followers on Product Hunt. The dashboard above tracks how Tabstack Structured Extraction performed against the three products that launched closest to it on the same day.
Who hunted Tabstack Structured Extraction?
Tabstack Structured Extraction was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Tabstack Structured Extraction has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Tabstack Structured Extraction including community comment highlights and product details, visit the product overview.
fmerian
There's one piece of code that gets rebuilt at almost every company: the layer that turns a web page into data you can actually use. Fetch, parse, clean, pipe it through an LLM, force it into the shape you wanted. Nobody wants to own it, and it breaks the second a page changes.
That's the thing we deleted.
With Structured Extraction you define the schema, pass a URL, and get JSON back that matches. The reasoning happens inside the call, so there's no parsing code and no second LLM step bolted on after. `extract` pulls the fields you define. `generate` adds instructions on top when you want a reasoned answer, not just raw values.
It's built inside Mozilla, which matters here: the pages we fetch and the data you send are never sold or used to train models.
Get started for free with 10,000 credits →
I'd love to know what you're stuck extracting right now: the messy site, the SPA that fights you, the schema that never holds. Drop your extraction struggle below.