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.
{
"query": "best espresso machines 2026",
"results": [
{
"position": 1,
"title": "The 6 Best Espresso Machines of 2026",
"url": "https://example.com/best-espresso"
},
{
"position": 2,
"title": "Espresso Machine Buying Guide",
"url": "https://example.com/guide"
}
],
"credits_used": 1
}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.
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.
Research a market, monitor prices, enrich a record, or answer a question that needs live web data.
Through the hosted MCP server or a documented REST endpoint — no scraper to write or maintain.
Proxy routing, browser rendering, anti-bot handling, retries and fallbacks — on protected sites too.
Normalized fields instead of raw HTML, so the model reasons over data, not page markup.
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.
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.
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.
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.
476+ documented endpoints across search, maps, commerce, media, finance, social, travel, and app intelligence — one account, one billing model.
One hosted MCP endpoint exposes 445 agent-native tools to any MCP-capable client — Claude, Cursor, OpenAI Agents, LangChain, and more.
Free monthly credits, no card required, and charges only for successful responses — economics that hold up under unattended, retry-heavy agent workloads.
Start with the hosted MCP server, or call documented endpoints directly from your framework of choice.
Connect the full catalog to MCP-capable clients over Streamable HTTP with your API key.
OpenGive agents cleaner inputs than raw HTML by calling Crawlora for structured public web data.
OpenExpose Crawlora endpoints as callable tools inside OpenAI Agents workflows.
OpenUse Crawlora as a structured data source in loaders, tools, and retrieval pipelines.
OpenOfficial SDKs for calling documented endpoints from your agent runtime.
OpenThe broader pattern for feeding agent automation structured public web data.
OpenBrowse the documented catalog, connect the hosted MCP server, and test any endpoint in the Playground before you wire it into an agent.