Tabstack Web Research
Tabstack is a web data and automation API that extracts structured data from websites and automates browsers without needing to maintain scrapers. Its new /research endpoint runs a full web research agent in one API call, returning cited answers from the live web with source URLs. Built for legal, financial, and competitive intelligence, it features SSE streaming and free first 10,000 credits.
Tabstack: Extract web data and automate browsers, no scraper required. | Product Hunt
Extract web data and automate browsers, no scraper required.
5.0•1 review•
164 followers
Extract web data and automate browsers, no scraper required.
5.0•1 review•
164 followers
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AI Infrastructure Tools
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Browser Automation
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.
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This is the 2nd launch from Tabstack. View more
Tabstack Web Research
Launching today
Run a research agent with cited answers in a single API call
/research gives your app or agent cited answers from the live web in one API call. Not a pre-indexed corpus: the actual live web. Every request comes back with source URL's users can verify. Source selection, synthesis, and citation formatting are all inside the call. You write or maintain none of that code. Built for legal, financial, and competitive intel, where a wrong answer is a liability. Free to try.
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Launch tags:API•Developer Tools•Artificial Intelligence
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TabstackExtract web data and automate browsers, no scraper required.
Launched on April 30th, 2026
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1mo ago
I joined the team 4 weeks ago. First thing I did was build a real app with the API.
I joined Tabstack four weeks ago. The fastest way I know to understand a product is to build something real with it not tutorials, not toy examples, but an actual app that uses the API under real conditions and breaks in interesting ways.
So I built Rival. Open-source competitive intelligence dashboard that tracks competitor pricing, changelogs, careers, docs, and GitHub signals, diffs what changes, and generates intelligence briefs automatically.
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We launched /research today, a single API call that runs a full web research agent and returns cited answers.
Here's the pattern it replaces:
// What most teams build:
// 1. Search the web (or an index)
// 2. Fetch and read relevant pages
// 3. Synthesize across sources
// 4. Validate citations
// 5. Format for streaming
// 6. Debug all of the above forever
// What /research does:
const stream = await client.agent.research({ query: 'Your question here' })
That's it. The orchestration lives inside the call. Your codebase doesn't own it.
First 10,000 credits are free. Happy to answer questions in the comments. Give it a try → https://tabstack.ai/web-research
Three things that matter about how we built this:
- Citations are not optional.
Every claim comes back with a source URL. Users can verify where the answer came from. That's the difference between an AI feature people trust and one they don't.
- Live web, not an index.
Pre-indexed research APIs (Exa, Perplexity) are fast and good for broad questions. /research goes to the live web on every call. For legal, financial, and competitive intelligence work — where the answer needs to be current and sourced — that's the relevant difference.
- SSE streaming built in.
Users watch it work in real time. No spinning wheel. Progress events as sources are found, then a complete event with the full report and all citations.
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2d ago
used Tabstack to build Built for Devs
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Our awesome data extraction tool for our developer adoption score and for enriching user profiles.
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