Tabstack

"Pass a URL and a schema, get back JSON that matches every time" — what does "every time" mean in practice? Does the schema act as a strict contract where the call fails if a field can't be populated, or does it return partial data with nulls? Would change how I'd design error handling around it.Also The "cited answers" from research calls is the detail I keep coming back to. Are the citations actual source URLs pulled from the pages it visited, or more like attribution to the top-level domain? Big difference if you're building something where the downstream user needs to verify the source.

We're using Tabstack internally with some of our products b/c it out-performs many of the others we have tried against sites that have traditionally been harder to extract structured data from. Congrats on the launch!

Interesting, does it handle different site format?Also dynamic sites?

So sick!

congrats on the launch! Does it require any integrations or extensions for Mozilla specifically or browser agnostic?

How does it handle sites that actively block automations?

Hey Builders! 👋 I'm Tessa, founding [technical] GTM at Tabstack.Tabstack is a web data and automation API with intelligence built into every call. You don't get raw content back to parse, clean, or run through another LLM. You get the output your product or agent needs, already done.Five endpoints:/extract/json — pass a URL and a schema, get back JSON that matches it/extract/markdown — clean markdown from any URL/generate/json — custom instructions, structured output back/research — multi-source research with citations, one call, no orchestration/automate — managed browser agent for JS-heavy pages, forms, multi-step flowsNo scraper to maintain. No pipeline to build. No Monday morning incident because a site changed its data structure.I joined this team because Mozilla has always believed the web should stay open and your data should stay yours. Ephemeral data, zero model training, robots.txt compliant. That's not a feature—it's the foundation.Add it to Claude, Cursor, or Claude Code via MCP in 30 seconds. Check out the docs →What use case are you reaching for first? I vastly improved a messy data parsing pipeline the first time I tried it.A few other things I've built since joining Tabstack just 4 weeks ago:Rival — open source competitive intelligence tool powered by Tabstack. Tracks competitors daily, detects changes across their site, pricing, docs, jobs and social, and surfaces live intel via MCP whenever you need it for strategy. Uses all five Tabstack endpoints.LocalPlate — open source self-hosted meal planner. Imports recipes from any URL using Tabstack's extraction and automation endpoints.Scout — prospect intelligence, signal feed and CRM. Uses Tabstack to enrich prospects with structured profile data, synthesize ICP fit scores and outreach briefs, and run deep-dive research — all automated.