Tabstack is a web data and automation API that delivers reliable structured output. Pass a URL and a schema, get back JSON that matches every time. Run research in one call and get cited answers back. Automate browsers without running infrastructure. The intelligence is built into every API call. No scraper to build, maintain, or watch break when a site changes. Built at Mozilla.
This is the 4th launch from Tabstack by Mozilla. View more
Tabstack Dev Tools
Launched this week
Ditch your scraper. One API gives your code everything it needs from the web: structured JSON, clean markdown, cited research, and browser automation. No browser, LLM, or pipeline for you to run. Use it from the tools you already work in: an MCP server, CLI, Raycast extension, or as an Agent Skill. Grab a key and make your first call in less than three minutes. Mozilla-backed. Your data is never sold, never trained on.
Launch Team
I've been thinking about this from the opposite direction. I spend time making my own site readable by AI agents (llms.txt, structured markdown endpoints, that sort of thing), and the annoying part isn't getting the content out there. It's that every agent reads the page differently, and you have no idea what they actually pulled.
Schema-first extraction kind of flips that. If agents start requesting a schema instead of just scraping raw HTML, the site owner can finally tell what the agent actually saw. That feels more like a contract than a crawl.
Has anyone tried pointing Tabstack at their own pages to check what an agent would get back? Feels like a quick way to sanity-check your own site's AI readiness.
The underrated part is not scraping; it is giving the agent a stable contract back from the web. Agents get much more useful when the web step returns schema and citations instead of a brittle browser transcript that has to be re-interpreted every run.
Tabstack by Mozilla
@krekeltronics Couldn't agree more. A schema beats a raw page dump every time, especially when an agent has to act on it. Appreciate you supporting the launch!
Tabstack by Mozilla
@krekeltronics framing this!
Tabstack by Mozilla
@krekeltronics follow-up question: what should @Tabstack by Mozilla launch next from your perspective? take the poll here in /p/tabstack
Congrats on the launch. The MCP + schema path is a nice fit for agents that need web context without owning brittle scrapers.
The thing I’d test is provenance across a multi-source run: exact URL, fetch time, cache/nocache state, and which fields came from which source. Do you return that beside the JSON, or mostly through citations today?
Back at it! Love the idea of creating a competitor intelligence monitor that runs weekly, especially knowing it doesn't train on my data.
Tabstack by Mozilla
S/O to @tessak22 for the great work! a real-world example built with @Tabstack by Mozilla - star this repo
Tabstack by Mozilla
@fmerian thanks Flo. I'm obsessed with Rival. It's 🔥
Tabstack by Mozilla
@tessak22 launching soon on @Product Hunt? 👀
Tabstack by Mozilla
@fmerian you know it!
Mailwarm
Congratulations on your launch today!
Tabstack by Mozilla
@thamibenjelloun thanks for your support, Thami! what's your favorite new feature in this launch?
This is pretty cool.
Tabstack by Mozilla
@thedatadavis i do think so. what's your favorite part about this product/launch?