GET scikit-learn.org HTTP 2001.1 s33.5 KB$0.000136 captured Aug 7, 2026

scikit-learn.org, as data

One API turns any scikit-learn.org 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 1.1 s
Page size: 33.5 KB of markdown, 673 lines
Fields: Course Name, Institution, Description, Duration and 1 more
Captured: Aug 7, 2026

Start scraping scikit-learn.org See the code

Free balance on signup, no card. This scikit-learn.org page cost $0.000136 to fetch.

response 200 · 1.1 s · 33.5 KB

**> . For example, scale each> attribute on the input vector X to [0,1] or [-1,+1], or standardize itto have mean 0 and variance 1. Note that the*> scaling must beapplied to the test vector to obtain meaningful results. See section> Preprocessing data> for more details on scaling and normalization.`](generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC)> /`](generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM)> /`](generated/sklearn.svm.NuSVR.html#sklearn.svm.NuSVR)> approximates the fraction of training errors and support vectors.`](generated/sklearn.svm.SVC.html#sklearn.svm.SVC)> , if data for classification are unbalanced (e.g. manypositive and few negative), set`> and/or trydifferent penalty parameters* **> Randomness of the underlying implementations**> : The underlyingimplementations of`](generated/sklearn.svm.SVC.html#sklearn.svm.SVC)> and`](generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC)> use a random numbergenerator only to shuffle the data for probability estimation (when`> ). This randomness can be controlledwith the`> these estimators are not random and`> has no effect on theresults. The underlying`](generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM)> implementation is similar tothe ones of`](generated/sklearn.svm.NuSVC.html#sklearn.svm.NuSVC)> . As no probability estimationis provided for`](generated/sklearn.svm.OneClassSVM.html#sklearn.svm.OneClassSVM)> , it is not random.`](generated/sklearn.svm.LinearSVC.html#sklearn.svm.LinearSVC)> implementation uses a random number> generator to select features when fitting the model with a dual coordinatedescent (i.e when`> ). It is thus not uncommon,> to have slightly different results for the same input data. If that> happens, try with a smaller tol parameter. This randomness can also becontrolled with the`> the underlying implementation of

POST /scrape · scikit-learn.org/0.20/modules/svm.md · markdown · Showing 21 of 673 lines · captured Aug 7, 2026

What Spider does on scikit-learn.org

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.

1.1 s · $0.000136

/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 scikit-learn.org'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://scikit-learn.org/0.20/modules/svm.html", "return_format": "markdown"}'

from spider import Spider

app = Spider()
params = {"return_format": "markdown"}
page = app.scrape_url("https://scikit-learn.org/0.20/modules/svm.html", params=params)
print(page[0]["content"])

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

const app = new Spider();
const [page] = await app.scrapeUrl("https://scikit-learn.org/0.20/modules/svm.html", {
  return_format: "markdown",
});
console.log(page.content);

plain request · no browser, no selectors

What scikit-learn.org costs

Multiplied from the measured 33.5 KB page. Estimates round to the cent.

cost measured

This page, once 33.5 KB over HTTP, measured $0.000136

This page, daily for a month 30 fetches at the measured price ≈ $0.004081

1,000 pages this size 32.8 MB at the measured price ≈ $0.14

10,000 pages this size 327.5 MB at the measured price ≈ $1.36

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 scikit-learn.org.

The capture above took 1.1 s and cost $0.000136. The same call takes any URL on scikit-learn.org.

Get an API key

More in Education

All Education scrapers