Tabstack Dev Tools

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?

This is pretty cool.

Congrats on the launch. The MCP + schema path is a nice fit for agents that need web context without owning brittle scrapers.The thing I’d test is provenance across a multi-source run: exact URL, fetch time, cache/nocache state, and which fields came from which source. Do you return that beside the JSON, or mostly through citations today?

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?

Very interesting approach. Most web extraction tools eventually struggle when sites change their structure. How does Tabstack handle schema reliability over time without developers constantly updating extraction rules? Is there a point where human intervention is still required, or is the adaptation fully automated?

For launch/community ops, I would use the MCP server to turn docs, changelog pages, and competitor pages into a weekly pre-release brief. The edge case I would test first is source freshness. If a teammate asks the agent to re-check one URL after a cached extraction, can Tabstack force a fresh read for that source while still using cache for the rest?

"URL + schema in, clean JSON out" is exactly what I keep wishing for. I drive a lot of browser automation for my own agents and the thing that always bites me isn't the first run, it's the site quietly changing its DOM a week later and everything breaking silently. Does the schema-based extraction hold up when a page's layout changes, or does it need re-tuning? Mozilla-backed and "never trained on your data" is a strong trust angle too. Congrats on the launch.

The schema-first approach is interesting. Have you found that users spend more time defining the schema they want, or cleaning up the extracted data afterward? Curious where the bottleneck usually ends up.

Back at it! Love the idea of creating a competitor intelligence monitor that runs weekly, especially knowing it doesn't train on my data.

One API call for structured JSON, markdown, and browser automation is a solid combo. Does the schema validation handle edge cases well when a site's layout changes, or does it need manual updates?

The unified API abstraction on top of scraping is clever. We've hit the selector-maintenance problem building data pipelines where a single HTML change breaks weeks of work. Does it use headless browser pooling or something more lightweight for dynamic content, and how do you handle rate-limiting per domain when multiple callers share the same API key?

The underrated part is not scraping; it is giving the agent a stable contract back from the web. Agents get much more useful when the web step returns schema and citations instead of a brittle browser transcript that has to be re-interpreted every run.

Congratulations on your launch today!

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

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 recordVendor due diligence tool that pulls pricing, HN mentions, changelog velocity, and Reddit complaints into a structured brief before you sign a contractCFP discovery agent that scrapes Papercall, Sessionize, and conference homepages and returns open calls filtered to your topic areasDependency 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 weekHN front page tracker that extracts structured data daily—title, score, domain, category—and builds a dataset over time for content strategyJob 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