Zenrows

Zenrows provides web data infrastructure aimed at AI agents, data teams and automation workflows. The platform is organized around four primitives: Fetch, which retrieves any page — static, JavaScript-rendered or protected by anti-bot systems — and returns it as HTML, Markdown, JSON or a screenshot; Extract, which produces structured JSON automatically on supported sites without a user-defined schema or parser; Batch, which processes thousands of URLs asynchronously as a single managed job with queues, retries, webhooks and status tracking; and Browser Sessions, which drive a real browser for interactive flows such as clicks, form fills, logins and persistent session state from a user's own Puppeteer or Playwright code.

Each primitive is exposed through several surfaces: a single REST API endpoint, a command-line interface, an MCP server, and typed SDKs for Python, Node.js and Go. An Agent Toolkit packages skills, templates and MCP wiring so coding agents and AI IDEs — including Claude Code, Cursor, Codex, Windsurf, VS Code, Zed, JetBrains and Gemini CLI — can call the primitives as native tools. The company also lists integrations with AI frameworks (LangChain, LlamaIndex, Flowise, Hermes, Google ADK, OpenAI), automation platforms (n8n, Zapier, Make, Clay) and developer tooling (Playwright, Puppeteer, Scrapy, Selenium).

Marketed use cases include supplying live web access to AI agents, pricing intelligence, competitive intelligence and change monitoring, lead enrichment from company pages and professional profiles, and marketplace catalog collection. Access to protected sources is handled by a configurable protection level that routes requests through a residential network, fingerprinting and retry logic, described by the company as a Recovery Engine, without changes to user code.

Founding story

Zenrows was founded in 2021 by Aurken Bilbao and Ander Rodriguez to build a proprietary SaaS automating the extraction, structuring and storage of web data. The founders' stated aim was to reduce the technical knowledge required to run data automation and no-code tooling so that companies without in-house technical talent could use it.

Business model

Self-service SaaS sold on usage-based subscription plans, complemented by an enterprise motion with a sales team, SLAs and dedicated account management.

Subscriptions priced by monthly credit allowance rather than dollars per request: a permanently free tier with 5,000 credits per month and no card, then paid tiers at $16/month (45K credits), $57/month (250K credits), $165/month (1.2M credits) and $456/month (5M credits), plus a custom enterprise tier. One credit equals a standard successful page; JavaScript rendering costs 5 credits, premium proxies 10, both together 25, residential bandwidth 25,000 credits per GB, and Browser Sessions bill bandwidth plus 5 credits per minute. Failed requests are not charged (404 and 410 count as successful). Higher plans add concurrency (5 to 200 concurrent requests, 400–1,000+ on enterprise) and support levels. Annual billing is discounted at roughly 17% (pay for 10 months, get 12), and paid plans allow up to four credit top-ups per billing period with rollover. Extract adds no cost beyond the Fetch request it consumes, and Batch bills at the Fetch per-request rate.

Traction

The website reports more than 900 million requests per month, a sustained rate of 369 requests per second, 100% Fetch uptime over a trailing 90 days, and usage by teams at over 2,000 companies including Microsoft, Dell, IBM, Slack, Clay, EY, eBay and Nokia.

Latest developments

Recent product additions include the Extract and Batch primitives, the Zenrows MCP server for connecting AI assistants and IDEs to live web data, an Agent Toolkit with skills, plugins and one-command setup, and Adaptive Stealth Mode for success-rate optimization. The company publishes benchmark comparisons against competing scraping APIs and offers enterprise terms covering SLAs, SOC 2, ISO 27001 and DPAs.