Vllm Scraper
Spider read vllm.ai in 165 ms without a browser and returned 156 lines of clean markdown, including sections like "Universal Compatibility", "Hardware" and "Open Models".
# The High-Throughput and Memory-Efficient inference and serving engine for LLMsWe collect donation through GitHub and OpenCollective. We plan to use the fund to support the development, maintenance, and adoption of vLLM.## Universal CompatibilityOne engine, endless possibilities. Run any model on any hardware.### HardwareUnified API across platformsNVIDIACUDA GPU Popular AMDROCm GPUHuaweiAscend NPUAWSNeuron AcceleratorGoogleCloud TPUIBMSpyre AcceleratorAppleApple SiliconBaiduKunlun XPUCambriconMLUView all supported hardware### Open ModelsLatest trending open-source models, optimized & production-readyDeepSeek DeepSeek V4DeepSeek V3.2DeepSeek R1Google Gemma 4Gemma 3Meta Llama 4 ScoutLlama 4 MaverickMinimax MiniMax M3MiniMax M2.7MiniMax M2.5Mistral AI Mistral Small 4Mistral Large 3MoonshotAI Kimi K3Kimi K2.6Kimi K2.5NVIDIA Nemotron 3 UltraNemotron 3 SuperNemotron 3 NanoQwen Qwen3.6Qwen3.5Qwen3StepFun Step-3.7-FlashStep-3.5-FlashZ-AI GLM 5.2GLM 5.1GLM 5## Got questions?Whether you're just getting started or debugging a complex deployment, our community is open to everyone. No question is too basic!The same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on vllm.ai.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://vllm.ai");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.vllm.ai", {
return_format: "markdown",
});
console.log(result);Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What vllm.ai costs to scrape.
The capture above cost $0.000179 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
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Start scraping vllm.ai.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.