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eliferjunior/cheerio

Name: cheerio
Author: eliferjunior

.claude/skills/ts-cheerio/SKILL.md

npx skillsauth add eliferjunior/Claude cheerio

Clean

TrivyContainer and dependency vulnerability scanner

Clean

SemgrepStatic code analysis for vulnerabilities

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mcp-scan (Snyk)Model Context Protocol security validation

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Snyk (dep)Open source security scanning

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Socket.devSupply chain security analysis

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VirusTotalMulti-engine malware detection

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CrowdStrikeAdvanced threat intelligence

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OWASP Dep-Check

Cheerio

Overview

Cheerio is a fast, lightweight HTML/XML parser for Node.js that implements a jQuery-like API. Unlike Puppeteer, it does not run a browser — it parses raw HTML strings, making it 100x faster and ideal for scraping server-rendered pages, parsing HTML files, and transforming HTML content. Pair it with fetch or axios for web scraping, or use it standalone for HTML processing.

Instructions

Step 1: Installation

npm install cheerio

Step 2: Parse HTML and Extract Data

// parse_html.js — Load HTML and extract structured data with CSS selectors
import * as cheerio from 'cheerio'

const html = `
<html>
  <body>
    <h1>Products</h1>
    <div class="product" data-id="1">
      <h2>Widget Pro</h2>
      <span class="price">$29.99</span>
      <a href="/products/widget-pro">Details</a>
    </div>
    <div class="product" data-id="2">
      <h2>Gadget Max</h2>
      <span class="price">$49.99</span>
      <a href="/products/gadget-max">Details</a>
    </div>
  </body>
</html>`

const $ = cheerio.load(html)

// Extract all products
const products = []
$('.product').each((i, el) => {
  products.push({
    id: $(el).attr('data-id'),
    title: $(el).find('h2').text().trim(),
    price: $(el).find('.price').text().trim(),
    link: $(el).find('a').attr('href'),
  })
})

console.log(products)
// [{ id: '1', title: 'Widget Pro', price: '$29.99', link: '/products/widget-pro' }, ...]

Step 3: Web Scraping with Fetch

// scrape_site.js — Fetch a page and extract data
import * as cheerio from 'cheerio'

async function scrape(url) {
  const response = await fetch(url)
  const html = await response.text()
  const $ = cheerio.load(html)

  // Extract all links
  const links = []
  $('a[href]').each((i, el) => {
    links.push({
      text: $(el).text().trim(),
      href: $(el).attr('href'),
    })
  })

  // Extract meta tags
  const meta = {
    title: $('title').text(),
    description: $('meta[name="description"]').attr('content'),
    ogImage: $('meta[property="og:image"]').attr('content'),
  }

  return { links, meta }
}

Step 4: Advanced Selectors and Traversal

// selectors.js — Complex CSS selectors and DOM traversal
const $ = cheerio.load(html)

// Attribute selectors
$('a[href^="https"]')           // links starting with https
$('img[src$=".png"]')           // PNG images
$('div[class*="product"]')      // divs with "product" in class

// Traversal
$('.product').first()            // first product
$('.product').last()             // last product
$('.product').eq(2)              // third product (0-indexed)
$('.price').parent()             // parent of each .price element
$('.product').children('h2')     // direct h2 children
$('.product').find('.price')     // descendants matching .price
$('.product').next()             // next sibling
$('.product').prev()             // previous sibling

// Filtering
$('.product').filter((i, el) => {
  const price = parseFloat($(el).find('.price').text().replace('$', ''))
  return price < 50
})

// Text and HTML
$('.product').first().text()     // all text content, flattened
$('.product').first().html()     // inner HTML

Step 5: Table Extraction

// extract_table.js — Parse HTML tables into structured data
function extractTable($, tableSelector) {
  /**
   * Convert an HTML table to an array of objects using headers as keys.
   * Args:
   *   $: Cheerio instance
   *   tableSelector: CSS selector for the table element
   */
  const headers = []
  $(`${tableSelector} thead th`).each((i, el) => {
    headers.push($(el).text().trim())
  })

  const rows = []
  $(`${tableSelector} tbody tr`).each((i, tr) => {
    const row = {}
    $(tr).find('td').each((j, td) => {
      row[headers[j]] = $(td).text().trim()
    })
    rows.push(row)
  })
  return rows
}

// Usage
const tableData = extractTable($, '#pricing-table')
// [{ Plan: 'Free', Price: '$0', Users: '1' }, { Plan: 'Pro', Price: '$29', Users: '10' }]

Step 6: HTML Transformation

// transform.js — Modify HTML content
const $ = cheerio.load(html)

// Add class
$('.product').addClass('featured')

// Remove elements
$('.ad-banner').remove()

// Replace content
$('h1').text('Updated Title')

// Wrap elements
$('.product').wrap('<section class="product-section"></section>')

// Add attributes
$('a').attr('target', '_blank')
$('img').attr('loading', 'lazy')

// Get modified HTML
const modifiedHtml = $.html()

Examples

Example 1: Build a price monitoring scraper

User prompt: "Scrape product prices from 5 competitor websites daily and save to a CSV. The sites are server-rendered (no JavaScript needed)."

The agent will:

Use fetch + cheerio for each site (no browser overhead).
Write site-specific selectors for product name, price, and availability.
Parse prices into numbers, normalize currency.
Append results to a CSV with timestamps.
Set up as a cron job for daily execution.

Example 2: Extract and clean article content from HTML

User prompt: "I have 1,000 saved HTML pages from a blog. Extract just the article title, author, date, and body text from each, ignoring navigation, ads, and footers."

The agent will:

Read each HTML file, load with cheerio.
Extract content using article-specific selectors (article, .post-content, etc.).
Strip HTML tags from body, normalize whitespace.
Output structured JSON with title, author, date, and clean text.

Guidelines

Use cheerio for server-rendered pages (where the HTML contains the data you need). For SPAs or JavaScript-rendered content, use Puppeteer instead.
Cheerio does not execute JavaScript, fetch external resources, or render CSS — it only parses the HTML string you give it.
Always call .trim() on extracted text — HTML often contains whitespace, newlines, and indentation that clutters results.
Use .attr('href') and .attr('src') to get link/image URLs. Remember these may be relative — resolve them against the base URL.
For large-scale scraping, cheerio is 100x faster than Puppeteer and uses negligible memory. It can process thousands of pages per second.
Combine cheerio with fetch or axios for scraping, and add delays between requests to avoid overwhelming target servers.

eliferjunior/cheerio

.claude/skills/ts-cheerio/SKILL.md

Parse and extract data from HTML with Cheerio. Use when a user asks to scrape static web pages, parse HTML files, extract data from HTML, build a web scraper for server-rendered pages, extract text or links from HTML documents, parse RSS/XML feeds, transform HTML content, or process HTML emails. Covers jQuery-style selectors, DOM traversal, text extraction, attribute parsing, and integration with HTTP clients for web scraping pipelines.

tools

Updated Apr 16, 2026

$ install --global

skillsauth

npx skillsauth add eliferjunior/Claude cheerio

Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.

Security Scan Results

3 of 9 scanners reported clean

Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.

Scanners Passed

Scanners in report

Clean

TrivyContainer and dependency vulnerability scanner

95%

Clean

SemgrepStatic code analysis for vulnerabilities

95%

Clean

mcp-scan (Snyk)Model Context Protocol security validation

95%

Skipped

Snyk (dep)Open source security scanning

50%

Skipped

Socket.devSupply chain security analysis

50%

Skipped

VirusTotalMulti-engine malware detection

50%

Skipped

CrowdStrikeAdvanced threat intelligence

50%

Skipped

OSV-ScannerOpen Source Vulnerability database check

50%

Skipped

OWASP Dep-Check

50%

Last scanned: Apr 17, 2026, 1:26 AM17.0s1 file scanned

SKILL.md

name:: cheerio
description:: >-
license:: Apache-2.0
compatibility:: Node.js 14+ (any platform)
author:: terminal-skills
version:: 1.0.0
category:: development

Cheerio

Overview

Instructions

Step 1: Installation

npm install cheerio

Step 2: Parse HTML and Extract Data

// parse_html.js — Load HTML and extract structured data with CSS selectors
import * as cheerio from 'cheerio'

const html = `
<html>
  <body>
    <h1>Products</h1>
    <div class="product" data-id="1">
      <h2>Widget Pro</h2>
      <span class="price">$29.99</span>
      <a href="/products/widget-pro">Details</a>
    </div>
    <div class="product" data-id="2">
      <h2>Gadget Max</h2>
      <span class="price">$49.99</span>
      <a href="/products/gadget-max">Details</a>
    </div>
  </body>
</html>`

const $ = cheerio.load(html)

// Extract all products
const products = []
$('.product').each((i, el) => {
  products.push({
    id: $(el).attr('data-id'),
    title: $(el).find('h2').text().trim(),
    price: $(el).find('.price').text().trim(),
    link: $(el).find('a').attr('href'),
  })
})

console.log(products)
// [{ id: '1', title: 'Widget Pro', price: '$29.99', link: '/products/widget-pro' }, ...]

Step 3: Web Scraping with Fetch

// scrape_site.js — Fetch a page and extract data
import * as cheerio from 'cheerio'

async function scrape(url) {
  const response = await fetch(url)
  const html = await response.text()
  const $ = cheerio.load(html)

  // Extract all links
  const links = []
  $('a[href]').each((i, el) => {
    links.push({
      text: $(el).text().trim(),
      href: $(el).attr('href'),
    })
  })

  // Extract meta tags
  const meta = {
    title: $('title').text(),
    description: $('meta[name="description"]').attr('content'),
    ogImage: $('meta[property="og:image"]').attr('content'),
  }

  return { links, meta }
}

Step 4: Advanced Selectors and Traversal

// selectors.js — Complex CSS selectors and DOM traversal
const $ = cheerio.load(html)

// Attribute selectors
$('a[href^="https"]')           // links starting with https
$('img[src$=".png"]')           // PNG images
$('div[class*="product"]')      // divs with "product" in class

// Traversal
$('.product').first()            // first product
$('.product').last()             // last product
$('.product').eq(2)              // third product (0-indexed)
$('.price').parent()             // parent of each .price element
$('.product').children('h2')     // direct h2 children
$('.product').find('.price')     // descendants matching .price
$('.product').next()             // next sibling
$('.product').prev()             // previous sibling

// Filtering
$('.product').filter((i, el) => {
  const price = parseFloat($(el).find('.price').text().replace('$', ''))
  return price < 50
})

// Text and HTML
$('.product').first().text()     // all text content, flattened
$('.product').first().html()     // inner HTML

Step 5: Table Extraction

// extract_table.js — Parse HTML tables into structured data
function extractTable($, tableSelector) {
  /**
   * Convert an HTML table to an array of objects using headers as keys.
   * Args:
   *   $: Cheerio instance
   *   tableSelector: CSS selector for the table element
   */
  const headers = []
  $(`${tableSelector} thead th`).each((i, el) => {
    headers.push($(el).text().trim())
  })

  const rows = []
  $(`${tableSelector} tbody tr`).each((i, tr) => {
    const row = {}
    $(tr).find('td').each((j, td) => {
      row[headers[j]] = $(td).text().trim()
    })
    rows.push(row)
  })
  return rows
}

// Usage
const tableData = extractTable($, '#pricing-table')
// [{ Plan: 'Free', Price: '$0', Users: '1' }, { Plan: 'Pro', Price: '$29', Users: '10' }]

Step 6: HTML Transformation

// transform.js — Modify HTML content
const $ = cheerio.load(html)

// Add class
$('.product').addClass('featured')

// Remove elements
$('.ad-banner').remove()

// Replace content
$('h1').text('Updated Title')

// Wrap elements
$('.product').wrap('<section class="product-section"></section>')

// Add attributes
$('a').attr('target', '_blank')
$('img').attr('loading', 'lazy')

// Get modified HTML
const modifiedHtml = $.html()

Examples

Example 1: Build a price monitoring scraper

User prompt: "Scrape product prices from 5 competitor websites daily and save to a CSV. The sites are server-rendered (no JavaScript needed)."

The agent will:

Use fetch + cheerio for each site (no browser overhead).
Write site-specific selectors for product name, price, and availability.
Parse prices into numbers, normalize currency.
Append results to a CSV with timestamps.
Set up as a cron job for daily execution.

Example 2: Extract and clean article content from HTML

User prompt: "I have 1,000 saved HTML pages from a blog. Extract just the article title, author, date, and body text from each, ignoring navigation, ads, and footers."

The agent will:

Read each HTML file, load with cheerio.
Extract content using article-specific selectors (article, .post-content, etc.).
Strip HTML tags from body, normalize whitespace.
Output structured JSON with title, author, date, and clean text.

Guidelines

Use cheerio for server-rendered pages (where the HTML contains the data you need). For SPAs or JavaScript-rendered content, use Puppeteer instead.
Cheerio does not execute JavaScript, fetch external resources, or render CSS — it only parses the HTML string you give it.
Always call .trim() on extracted text — HTML often contains whitespace, newlines, and indentation that clutters results.
Use .attr('href') and .attr('src') to get link/image URLs. Remember these may be relative — resolve them against the base URL.
For large-scale scraping, cheerio is 100x faster than Puppeteer and uses negligible memory. It can process thousands of pages per second.
Combine cheerio with fetch or axios for scraping, and add delays between requests to avoid overwhelming target servers.

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SKILL.mdUpdated Apr 17, 2026

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When the user needs to build file upload functionality for a web application. Use when the user mentions "file upload," "image upload," "upload endpoint," "multipart upload," "presigned URL," "S3 upload," "file validation," "upload to cloud storage," or "accept user files." Handles upload endpoints, file validation (type, size, magic bytes), cloud storage integration, and upload status tracking. For image/video processing after upload, see media-transcoder.

SKILL.mdUpdated Apr 16, 2026

eliferjunior/file-upload-processor

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For Claude Desktop. Download once, then upload the file in the app — no terminal needed.

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Install manually

Choose your platform

# Clone the repo
git clone https://github.com/eliferjunior/Claude.git

# Copy into Claude Code skills folder (global)
cp -r Claude/.claude/skills/ts-cheerio ~/.claude/skills/

Claude Code Skills — official skills path docs.

Repository

eliferjunior/Claude

Compatible with

Claude Code

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