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.
the 'no scraper to maintain' pitch hits different when you've actually spent time babysitting selectors after a site redesign. schema → JSON output that reliably matches is the right abstraction. curious what the rate limits look like at scale - the mozilla backing + no training on your data is a genuinely good differentiator
Tabstack by Mozilla
@galdayan Thanks for the support, Gal! and good question re: rate limits. At @Tabstack by Mozilla, rate limits are per account. Not per API key or endpoint. The plan limits:
Trial: 10 requests per minute
Individual: 10
Team: 25
Pro: 100
To learn more about rate limits and usage, read the docs here. Hope it helps!
Tabstack by Mozilla
@galdayan Is it something you experimented yourself with another product btw? Would love to have your feedback about the first-time experience using @Tabstack by Mozilla - start here: tabstack.ai
Looking forward to it!
TabSurfer
It looks very interesting! How does it compare to other AI scraper solutions currently on the market? What specific use cases did you test during development, and which ones is the agent optimized for?
Tabstack by Mozilla
@orka1000 thanks for the support, Corentin! and great questions. TL,DR:
focused on turning web pages into AI-ready structured content
optimized for fast adoption
lighter-weight and purpose-built for content extraction and structured output
built at @Mozilla, i.e. private by default and transparent by design
if you have a specific product in mind, you could find a more detailed comparison in the docs: https://docs.tabstack.ai/
hope it helps!
Tabstack by Mozilla
@tessak22 random idea: migration guides to help users switch to @Tabstack by Mozilla
Honestly
Congratulations on the launch! When you say one API call for any tool, are there really not restrictions of tools that can be used? If not, what tools have you seen be used the most?
Tabstack by Mozilla
Thanks for the support, Scott! And yes, you can use @Tabstack by Mozilla from the tools you already work in: an MCP server, CLI, Raycast extension, or as an Agent Skill.
The MCP + agent skill angle is the part that stands out to me. Scraping is usually treated as a one-off API call, but making it usable directly inside an agent workflow feels much more practical. Curious how you think about guardrails when agents browse or extract from messy pages.
Tabstack by Mozilla
@xuanlin great question. @Tabstack by Mozilla is schema-based. You define a JSON schema for the fields you want, and every call reads the page and maps it to that schema. You maintain the schema, not the scraping logic. And the schema only changes when the data you want changes.
Start for free here: tabstack.ai and let us know what you think!
Tabstack by Mozilla
@xuanlin anything else @Tabstack by Mozilla should build/improve/fix from your perspective?
The MCP server angle is the interesting bit for me. When an agent pulls structured web data this way, how do you handle pages where the schema is slightly wrong or the DOM changes mid-run?
Tabstack by Mozilla
That's the best part: when a site reshuffles its DOM but still shows the same info, nothing on your end changes.
Built at Mozilla definitely got my attention. Curious how well it handles websites that change their layout frequently.
Tabstack by Mozilla
@workout097_collab Thanks! The Mozilla part means a lot to us.
Layout changes are exactly where this approach holds up. You define a schema for what you want, and the model reads the page to fill it. No CSS selectors or XPath to maintain, so when a site reshuffles its markup, your extraction keeps working. That's the whole reason we went schema-first instead of selector-based.
Honest caveat: if a site actually removes the data or buries it behind new clicks, that's a content change, not a layout change, and you'd feel it. For redesigns and DOM churn, you generally don't touch a thing.
Tabstack by Mozilla
From my perspective, this makes the difference. It sets expectations.
Every call runs on a @Mozilla-backed platform. The pages you extract, the answers you research, and the tasks you automate stay yours, handled responsibly and never used to train models. See exactly how @Tabstack by Mozilla sources and handles data in the docs: https://docs.tabstack.ai/trust/controlling-access/
You're in good hands. Get started for free here: tabstack.ai
Tabstack by Mozilla
4 new features and its our 4th launch! How fun is that! 🚀
Try all the tools and tell us what you think. Really curious but don't have anything to build right now? Here are a few ideas of things to build:
Spec watcher that alerts you when TC39 proposals, Node.js, or TypeScript ship breaking change—one API call per source, diff the rest yourself (repo)
Competitor intelligence monitor that runs weekly, extracts structured data from any product homepage, and pings you when something changes (repo)
Podcast prep agent that researches a host's last 20 episodes and returns a one-page brief before you record
Vendor due diligence tool that pulls pricing, HN mentions, changelog velocity, and Reddit complaints into a structured brief before you sign a contract
CFP discovery agent that scrapes Papercall, Sessionize, and conference homepages and returns open calls filtered to your topic areas
Dependency security monitor that reads CVE databases and package changelogs for your exact stack and tells you if you're actually affected—not just "vulnerability found"
API docs watcher that diffs the docs for any API you depend on and tells you what changed since last week
HN front page tracker that extracts structured data daily—title, score, domain, category—and builds a dataset over time for content strategy
Job posting intelligence tool that monitors hiring pages for companies you care about and extracts structured signals: what they're building, what stack they're moving to
Tabstack by Mozilla
@tessak22 always be launching 🔥