GET vllm.ai HTTP 200165 ms5.4 KB$0.000179 captured Aug 7, 2026

vllm.ai, as data

One API turns any vllm.ai page into markdown, structured JSON, its link graph or a screenshot, and crawls the whole site the same way. The panel shows the real response we captured.

target profile from the capture

Render mode: Plain HTTP, no browser needed
Response: HTTP 200 in 165 ms
Page size: 5.4 KB of markdown, 156 lines
Fields: Business Name, Address, Phone, Category and 2 more
Captured: Aug 7, 2026

Start scraping vllm.ai See the code

Free balance on signup, no card. This vllm.ai page cost $0.000179 to fetch.

response 200 · 165 ms · 5.4 KB

# 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!

POST /scrape · vllm.ai/index.md · markdown · Showing 14 of 156 lines · captured Aug 7, 2026

What Spider does on vllm.ai

Same key, five endpoints. The numbers under a cell were measured on this page.

/scrape

Page to markdown

Clean text for RAG and LLM context, boilerplate removed. The lane that runs without a key.

165 ms · $0.000179

/fetch

Page to JSON

Spider reads the page and names the fields. Pass your own schema when you need exact keys.

/crawl

Whole site

Follows vllm.ai's own links, respects robots, streams pages as they land.

/links

Link graph

Every internal and external URL on a page, before you decide what to fetch.

/screenshot

Rendered capture

Real Chromium, full-page PNG. The same call also returns the rendered HTML.

The call behind the panel

This request produced the response above. Paste it with your key and you get the same bytes.

request scrape.sh

curl -X POST https://api.spider.cloud/scrape \
  -H "Authorization: Bearer $SPIDER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://vllm.ai/", "return_format": "markdown"}'

from spider import Spider

app = Spider()
params = {"return_format": "markdown"}
page = app.scrape_url("https://vllm.ai/", params=params)
print(page[0]["content"])

import { Spider } from "@spider-cloud/spider-client";

const app = new Spider();
const [page] = await app.scrapeUrl("https://vllm.ai/", {
  return_format: "markdown",
});
console.log(page.content);

plain request · no browser, no selectors

What vllm.ai costs

Multiplied from the measured 5.4 KB page. Estimates round to the cent.

cost measured

This page, once 5.4 KB over HTTP, measured $0.000179

This page, daily for a month 30 fetches at the measured price ≈ $0.005376

1,000 pages this size 5.2 MB at the measured price ≈ $0.18

10,000 pages this size 52.3 MB at the measured price ≈ $1.79

1 GB of transfer costs $1, plus $0.001 per CPU minute, and failed requests cost $0. Crawling daily? The Unlimited plan is a flat monthly rate.

Point this at the rest of vllm.ai.

The capture above took 165 ms and cost $0.000179. The same call takes any URL on vllm.ai.

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