Launching today
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.
Tabstack
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 flows
No 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.
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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.
@tessak22 🐐
@tessak22 the "schema you pass, JSON you get back" framing is the actual axis to compare these tools on. we hit similar territory building a voice→form widget — when the source is messy (transcribed speech, not HTML), the gap between "got something parseable" and "got exactly the schema fields, every time" is where the work actually lives.
the case that usually exposes it: a field in the schema that's genuinely missing from the source. whether the API returns null, hallucinates a guess, or explicitly surfaces the absence — that's the decision that determines whether downstream code can trust the output.
Tabstack
@webappski EXACTLY! I'm so glad you noticed that. Its really hard to position these types of tools when there are so many options out there right now. If you give it a try, please let me know what you think.
Tech Marketing Framework
congrats on the launch! Does it require any integrations or extensions for Mozilla specifically or browser agnostic?
Tabstack
@j1ngg Nope! Its a stand-alone product. Should be super simple to setup, too! Reach out if you need anything. 😊
Tabstack
@anusuya_bhuyan you should give it a try and find out! I wasn't able to get data from G2 or LinkedIn, but otherwise, I've found success on a lot of tricky websites.
Swipe Files
So sick!
Tabstack
@corey_haines Thanks for the kind words! Check it out. You'll love it.