Agents are good at deciding what to fetch — and terrible at getting past Cloudflare. Crawlora gives them reliable, structured web data through documented APIs and a hosted MCP server, so you ship agent features instead of scraper infrastructure. An LLM is not a wishing machine. Generating a scraper only lowers the cost of writing it. Running it — past anti-bot, across layout changes, with proxies and retries — is the part that doesn't get cheaper as models improve. That work doesn't disappear; it just moves. Letting every agent roll its own scraper Blocked by Cloudflare, DataDome, and similar defenses the moment it hits a protected site Brittle CSS selectors that silently break on the next layout change No proxy rotation, ban recovery, or browser rendering — the agent fails or hallucinates Re-derives parsing every run and burns tokens reasoning over raw HTML You own and maintain the scraping code forever, across every target site Calling Crawlora instead Anti-bot, proxies, browser rendering, and retries handled for you — protected sites included Documented, versioned endpoints return the same normalized JSON every time One hosted MCP server exposes the whole catalog as agent-ready tools Clean structured inputs mean fewer tokens and more reliable agent reasoning Billed only on successful (2xx) responses — predictable economics for autonomous loops Clean inputs in, reliable actions out. Instead of fetching raw page HTML, agents call a narrow Crawlora tool and get structured JSON back. Cleaner reasoning, fewer parse failures, visible error states. Agent picks up a task Research a market, monitor prices, enrich a record, or answer a question that needs live web data. Calls a Crawlora tool Through the hosted MCP server or a documented REST endpoint — no scraper to write or maintain. Crawlora does the hard part Proxy routing, browser rendering, anti-bot handling, retries and fallbacks — on protected sites too. Agent gets clean JSON Normalized fields instead of raw HTML, so the model reasons over data, not page markup. What stays valuable as agents get smarter.

A better model writes better code — it doesn't run the proxy network, maintain the parsers, or govern what a fleet of agents fetches. That durable layer is what Crawlora provides. Reliability on protected sites Proxies, stealth, browser rendering, and retries are the part a smarter model doesn't make easier. Crawlora maintains the unblocker so your agents reach hard, protected sites instead of failing or hallucinating. Structured, maintained endpoints Per-platform APIs return the same normalized JSON every time. Agents don't re-derive selectors or babysit HTML that changes underneath them between runs. Governed, auditable access Per-key usage tracking, credit limits, and plan controls let you see and cap exactly what an agent fleet spends and fetches — with visible failure context, not silent bad data. Breadth across the web 2,195+ documented endpoints across search, maps, commerce, media, finance, social, travel, and app intelligence — one account, one billing model. Drop-in MCP toolbox One hosted MCP endpoint exposes 2,168 agent-native tools to any MCP-capable client — Claude, Cursor, OpenAI Agents, LangChain, and more. Pay only on success Free monthly credits, no card required, and charges only for successful responses — economics that hold up under unattended, retry-heavy agent workloads. Wire Crawlora into your agent stack. Start with the hosted MCP server, or call documented endpoints directly from your framework of choice. Hosted MCP server Connect the full catalog to MCP-capable clients over Streamable HTTP with your API key. AI agents guide Give agents cleaner inputs than raw HTML by calling Crawlora for structured public web data. Expose Crawlora endpoints as callable tools inside OpenAI Agents workflows. Use Crawlora as a structured data source in loaders, tools, and retrieval pipelines. Official SDKs for calling documented endpoints from your agent runtime. AI Agent Web Data The broader pattern for feeding agent automation structured public web data. Questions from teams building agents. Give your agents a reliable web data layer Browse the documented catalog, connect the hosted MCP server, and test any endpoint in the Playground before you wire it into an agent.