Overview
Tabstack Structured Extraction is a web data and browser automation API built at Mozilla. Developers pass a URL and a schema to receive structured JSON, ask a question to receive a cited answer, or describe a browser task that Tabstack runs on the live web.
The product is aimed at teams that need AI web scraping, web research, lead enrichment, competitive intelligence, browser automation, and knowledge-base ingestion without maintaining brittle scrapers or browser infrastructure. Tabstack's official site says the model, browser, and orchestration run inside Tabstack, so developers can ship data and automation features with fewer backend components.
Tabstack Structured Extraction appeared on Product Hunt's June 11, 2026 daily leaderboard with the tagline "Extract web data into structured JSON, no scraper required." The Product Hunt launch page also emphasizes that pages and user data are not sold or used to train models.
Key Features
Schema-based extraction - Define the fields you need, pass a URL, and receive JSON that matches the requested schema.
Research endpoint with citations - Ask a question and get a synthesized answer with cited claims, source selection, reading, and synthesis handled inside one API call.
Browser automation API - Describe tasks in natural language and Tabstack can navigate, click, fill forms, and complete multi-step flows on JavaScript-heavy pages.
Structured generation - Use extraction for raw fields or add AI instructions when you need reasoned answers rather than direct page values.
Developer-friendly use cases - Build competitive dashboards, lead enrichment, product research, booking agents, workflow automation, and RAG ingestion.
Mozilla-backed privacy positioning - Official materials say data is never sold and never used to train models.
Integration Guide
Tabstack is most relevant when a product already needs reliable web output. Instead of building a crawler, browser pool, parser, LLM post-processing layer, and schema enforcement logic, a team can call Tabstack endpoints such as /extract/json, /generate/json, /research, /automate, and /extract/markdown.
For RAG and knowledge-base workflows, Tabstack can convert public pages into clean Markdown or structured JSON. For workflow automation, the /automate endpoint can operate on live pages and pause for human input when a step requires judgment. That makes it useful for AI agents that need a managed browser layer rather than a raw screenshot loop.
Pricing & Plans
Tabstack's official pricing section lists a free trial with 10,000 credits, an Individual plan at $0/month with pay-as-you-go usage at $0.35 per 1,000 credits, a Team plan at $99/month with 500,000 credits included and $0.30 per 1,000 overage credits, and a Pro plan at $499/month with 3,000,000 credits included and $0.25 per 1,000 overage credits. Enterprise pricing is custom and should be handled as Contact Sales.
| Plan | Price | Notes |
|---|---|---|
| Free credits | 10,000 credits to start | Official homepage says no credit card is required |
| Individual | $0/month | Pay-as-you-go; $0.35 per 1,000 credits; access to all API endpoints; Fast research mode; standard rate limits |
| Team | $99/month | 500,000 credits included; Fast + Balanced research modes; increased rate limits; $0.30 per 1,000 overage credits |
| Pro | $499/month | 3,000,000 credits included; highest rate limits; $0.25 per 1,000 overage credits |
| Enterprise | Contact Sales | Custom API quotas, dedicated support, and SLAs for high-volume teams |
Teams should still verify endpoint-level credit consumption, research-mode availability, rate limits, and production-volume terms before scaling, because extraction, research, automation, and browser-heavy tasks may consume credits differently.
Best For
- Developers building structured extraction from product pages, docs, blogs, or public websites
- Teams replacing brittle crawlers and parsers with a managed AI web scraping API
- Product teams shipping cited web research features inside their own apps
- AI agent builders that need browser actions without running their own browser fleet
- Data and growth teams building competitive intelligence, lead enrichment, or RAG ingestion workflows
FAQ
What does Tabstack Structured Extraction do?
It lets developers pass a URL and schema to receive structured JSON. Tabstack can also generate reasoned answers, run cited research, extract Markdown, and automate browser tasks.
Is Tabstack only for scraping?
No. Structured extraction is one use case, but Tabstack also supports research with citations and browser automation for multi-step tasks on live websites.
Does Tabstack require a credit card to start?
The official homepage says new users get 10,000 free credits and no credit card is required.
How much does Tabstack cost after free credits?
Tabstack lists an Individual plan at $0/month with pay-as-you-go usage at $0.35 per 1,000 credits, a Team plan at $99/month with 500,000 included credits and $0.30 per 1,000 overage credits, and a Pro plan at $499/month with 3,000,000 included credits and $0.25 per 1,000 overage credits. Enterprise pricing is custom and should be confirmed with sales.
Is Tabstack useful for RAG ingestion?
Yes. Tabstack can turn web pages into Markdown or structured JSON, which can feed retrieval pipelines and knowledge bases without a custom scraper.
Does Tabstack use customer data to train models?
The official site and Product Hunt launch copy state that customer data is never sold and never used to train models.
