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.
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
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.
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.
congrats on the launch! Does it require any integrations or extensions for Mozilla specifically or browser agnostic?
About Tabstack on Product Hunt
“Extract web data and automate browsers, no scraper required.”
Tabstack launched on Product Hunt on April 30th, 2026 and earned 83 upvotes and 8 comments, placing #16 on the daily leaderboard. 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 was featured in API (98.1k followers), Developer Tools (511.6k followers) and Artificial Intelligence (467.2k followers) on Product Hunt. Together, these topics include over 166.1k products, making this a competitive space to launch in.
Who hunted Tabstack?
Tabstack 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.
Want to see how Tabstack stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
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.
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.