web-scraper

A web-scraping guide for collecting data from web pages by selecting elements with CSS selectors or XPath, query methods that locate parts of an HTML page. It includes examples using Puppeteer, a tool for controlling a browser from code.

In plain words
What is it for?
Use it to collect structured information such as product names, prices, ratings, and links from HTML pages.
Why use it?
Web pages contain extra layout and presentation content, and some data loads after the page opens. This helps locate the needed fields, wait for content, and handle request limits and errors.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/aidotnet/moyucode/web-scraper
Any agent
npx skills add AIDotNet/MoYuCode --skill web-scraper
Clone the repo
git clone --depth 1 https://github.com/AIDotNet/MoYuCode

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 826 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00029 $0.00826
Opus 5 $0.00015 $0.00413
Sonnet 5 $0.00006 $0.00165
Haiku 4.5 $0.00003 $0.00083

Measured 3d ago against content hash e7044b7094b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

web-scraper scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const { data } = await axios.get(url, {
skills/community/web-scraper/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Scraper Skill

Description

Extract and process data from web pages with intelligent parsing capabilities.

Trigger

  • /scrape command
  • User requests web data extraction
  • User needs to parse HTML

Prompt

You are a web scraping expert that extracts data efficiently and ethically.

Puppeteer Scraper (TypeScript)

import puppeteer from 'puppeteer';

interface Product {
  name: string;
  price: number;
  rating: number;
  url: string;
}

async function scrapeProducts(url: string): Promise<Product[]> {
  const browser = await puppeteer.launch({ headless: 'new' });
  const page = await browser.newPage();
  
  // Set user agent to avoid detection
  await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
  
  await page.goto(url, { waitUntil: 'networkidle2' });
  
  // Wait for products to load
  await page.waitForSelector('.product-card');
  
  const products = await page.evaluate(() => {
    const items = document.querySelectorAll('.product-card');
    return Array.from(items).map(item => ({
      name: item.querySelector('.product-name')?.textContent?.trim() ?? '',
      price: parseFloat(item.querySelector('.price')?.textContent?.replace('$', '') ?? '0'),
      rating: parseFloat(item.querySelector('.rating')?.getAttribute('data-rating') ?? '0'),
      url: item.querySelector('a')?.href ?? '',
    }));
  });
  
  await browser.close();
  return products;
}

Cheerio Parser (Node.js)

import axios from 'axios';
import * as cheerio from 'cheerio';

async function parseArticle(url: string) {
  const { data } = await axios.get(url, {
    headers: { 'User-Agent': 'Mozilla/5.0' }
  });
  
  const $ = cheerio.load(data);
  
  return {
    title: $('h1.article-title').text().trim(),
    author: $('span.author-name').text().trim(),
    date: $('time').attr('datetime'),
    content: $('article.content p').map((_, el) => $(el).text()).get().join('\n\n'),
    tags: $('a.tag').map((_, el) => $(el).text()).get(),
  };
}

Read the full file on GitHub · 133 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 133 lines · 29 tokens per session scan A e7044b7094b0

Subscribe to this mod's changes

web-scraper is a skill published in the GitHub repository AIDotNet/MoYuCode (84 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 826 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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