Tabstack

Tabstack is a Mozilla-backed API that lets AI agents extract structured web data and automate browser actions without building or maintaining scrapers. Built on five core endpoints (extract markdown, extract JSON, generate, automate, research), it runs real browser instances rather than headless requests, which makes it more reliable on JS-heavy and dynamic sites where traditional scrapers typically break. The schema-as-contract model is the differentiator: pass a URL plus the JSON shape you want, and the API returns matching structured output every call, with explicit nulls for fields it cannot find rather than hallucinated guesses. Pricing is credit-based and transparent: 10,000 free credits to start, pay-as-you-go at $0.35 per 1k credits, or Team ($99/mo, 500K credits) and Pro ($499/mo, 3M credits) plans for production workloads. Setup takes about 30 seconds via the MCP server, which connects directly to Claude, Cursor, Claude Code, and Codex without custom integration work. Privacy posture is Mozilla-grade: ephemeral data with default purge after use, robots.txt compliant via a dedicated Mozilla Tabstack user-agent, and no model training on customer content. Limitations to know upfront: LinkedIn and G2 are intentionally not extractable by design (TOS-respecting), e-commerce sites typically require local config and threshold tuning rather than playground-ready use, and the schema model is best-effort rather than strict-contract, meaning calls return nulls for missing fields instead of failing hard. Total cost of ownership is favorable for teams replacing custom scraping pipelines: no infrastructure to maintain, predictable per-credit pricing, and overage rates that drop from $0.35/1k to $0.25/1k at the Pro tier.