Tabstack
Web scraping APIs abstract away the hardest parts of web data collection: JavaScript rendering, anti-bot detection, proxy rotation, and data parsing. Instead of building and maintaining your own scraping infrastructure, you send a URL and receive clean, structured data back. For AI applications, many of these APIs now return LLM-ready markdown or structured JSON.
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✓JS Rendering
✓Structured Output
Built by Mozilla, which is unusual in a category dominated by YC and VC-backed startups. The four-endpoint surface (extract, generate, automate, research) overlaps with Firecrawl, but the technical differentiator is adaptive routing – requests start as raw HTTP fetches and escalate to a full browser only when the page requires JS execution or hydration. Requests identify with a 'Mozilla Tabstack' User-Agent, robots.txt is honored against that agent, and Mozilla commits to no model training on collected content with ephemeral data handling.
Currently in public early access. Pricing is competitive at $0.35 per 1k credits pay-as-you-go (10 credits ≈ $0.0035 per markdown extract, 50 credits ≈ $0.0175 per JSON extract, 100 credits per automate action, 250–350 credits per research run), with 10,000 free credits to start and Team ($99/mo, 500K credits) and Pro ($499/mo, 3M credits) tiers above. The product surface is broad for a launch-stage offering – worth evaluating against Firecrawl on actual workloads before committing.
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Tabstack